Divided Convex_Euclidean_Space.thy in half, creating new theory Starlike
authorpaulson <lp15@cam.ac.uk>
Thu, 20 Jul 2017 14:05:29 +0100
changeset 66289 2562f151541c
parent 66288 e5995950b98a
child 66290 88714f2e40e8
child 66291 f32968e099d5
Divided Convex_Euclidean_Space.thy in half, creating new theory Starlike
src/HOL/Analysis/Continuous_Extension.thy
src/HOL/Analysis/Convex_Euclidean_Space.thy
src/HOL/Analysis/Starlike.thy
--- a/src/HOL/Analysis/Continuous_Extension.thy	Wed Jul 19 22:56:16 2017 +0100
+++ b/src/HOL/Analysis/Continuous_Extension.thy	Thu Jul 20 14:05:29 2017 +0100
@@ -5,7 +5,7 @@
 section \<open>Continuous extensions of functions: Urysohn's lemma, Dugundji extension theorem, Tietze\<close>
 
 theory Continuous_Extension
-imports Convex_Euclidean_Space
+imports Starlike
 begin
 
 subsection\<open>Partitions of unity subordinate to locally finite open coverings\<close>
--- a/src/HOL/Analysis/Convex_Euclidean_Space.thy	Wed Jul 19 22:56:16 2017 +0100
+++ b/src/HOL/Analysis/Convex_Euclidean_Space.thy	Thu Jul 20 14:05:29 2017 +0100
@@ -7242,7886 +7242,4 @@
     using \<open>d > 0\<close> by auto
 qed
 
-
-subsection \<open>Line segments, Starlike Sets, etc.\<close>
-
-definition midpoint :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a"
-  where "midpoint a b = (inverse (2::real)) *\<^sub>R (a + b)"
-
-definition closed_segment :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a set"
-  where "closed_segment a b = {(1 - u) *\<^sub>R a + u *\<^sub>R b | u::real. 0 \<le> u \<and> u \<le> 1}"
-
-definition open_segment :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a set" where
-  "open_segment a b \<equiv> closed_segment a b - {a,b}"
-
-lemmas segment = open_segment_def closed_segment_def
-
-lemma in_segment:
-    "x \<in> closed_segment a b \<longleftrightarrow> (\<exists>u. 0 \<le> u \<and> u \<le> 1 \<and> x = (1 - u) *\<^sub>R a + u *\<^sub>R b)"
-    "x \<in> open_segment a b \<longleftrightarrow> a \<noteq> b \<and> (\<exists>u. 0 < u \<and> u < 1 \<and> x = (1 - u) *\<^sub>R a + u *\<^sub>R b)"
-  using less_eq_real_def by (auto simp: segment algebra_simps)
-
-lemma closed_segment_linear_image:
-    "linear f \<Longrightarrow> closed_segment (f a) (f b) = f ` (closed_segment a b)"
-  by (force simp add: in_segment linear_add_cmul)
-
-lemma open_segment_linear_image:
-    "\<lbrakk>linear f; inj f\<rbrakk> \<Longrightarrow> open_segment (f a) (f b) = f ` (open_segment a b)"
-  by (force simp: open_segment_def closed_segment_linear_image inj_on_def)
-
-lemma closed_segment_translation:
-    "closed_segment (c + a) (c + b) = image (\<lambda>x. c + x) (closed_segment a b)"
-apply safe
-apply (rule_tac x="x-c" in image_eqI)
-apply (auto simp: in_segment algebra_simps)
-done
-
-lemma open_segment_translation:
-    "open_segment (c + a) (c + b) = image (\<lambda>x. c + x) (open_segment a b)"
-by (simp add: open_segment_def closed_segment_translation translation_diff)
-
-lemma closed_segment_of_real:
-    "closed_segment (of_real x) (of_real y) = of_real ` closed_segment x y"
-  apply (auto simp: image_iff in_segment scaleR_conv_of_real)
-    apply (rule_tac x="(1-u)*x + u*y" in bexI)
-  apply (auto simp: in_segment)
-  done
-
-lemma open_segment_of_real:
-    "open_segment (of_real x) (of_real y) = of_real ` open_segment x y"
-  apply (auto simp: image_iff in_segment scaleR_conv_of_real)
-    apply (rule_tac x="(1-u)*x + u*y" in bexI)
-  apply (auto simp: in_segment)
-  done
-
-lemma closed_segment_Reals:
-    "\<lbrakk>x \<in> Reals; y \<in> Reals\<rbrakk> \<Longrightarrow> closed_segment x y = of_real ` closed_segment (Re x) (Re y)"
-  by (metis closed_segment_of_real of_real_Re)
-
-lemma open_segment_Reals:
-    "\<lbrakk>x \<in> Reals; y \<in> Reals\<rbrakk> \<Longrightarrow> open_segment x y = of_real ` open_segment (Re x) (Re y)"
-  by (metis open_segment_of_real of_real_Re)
-
-lemma open_segment_PairD:
-    "(x, x') \<in> open_segment (a, a') (b, b')
-     \<Longrightarrow> (x \<in> open_segment a b \<or> a = b) \<and> (x' \<in> open_segment a' b' \<or> a' = b')"
-  by (auto simp: in_segment)
-
-lemma closed_segment_PairD:
-  "(x, x') \<in> closed_segment (a, a') (b, b') \<Longrightarrow> x \<in> closed_segment a b \<and> x' \<in> closed_segment a' b'"
-  by (auto simp: closed_segment_def)
-
-lemma closed_segment_translation_eq [simp]:
-    "d + x \<in> closed_segment (d + a) (d + b) \<longleftrightarrow> x \<in> closed_segment a b"
-proof -
-  have *: "\<And>d x a b. x \<in> closed_segment a b \<Longrightarrow> d + x \<in> closed_segment (d + a) (d + b)"
-    apply (simp add: closed_segment_def)
-    apply (erule ex_forward)
-    apply (simp add: algebra_simps)
-    done
-  show ?thesis
-  using * [where d = "-d"] *
-  by (fastforce simp add:)
-qed
-
-lemma open_segment_translation_eq [simp]:
-    "d + x \<in> open_segment (d + a) (d + b) \<longleftrightarrow> x \<in> open_segment a b"
-  by (simp add: open_segment_def)
-
-lemma of_real_closed_segment [simp]:
-  "of_real x \<in> closed_segment (of_real a) (of_real b) \<longleftrightarrow> x \<in> closed_segment a b"
-  apply (auto simp: in_segment scaleR_conv_of_real elim!: ex_forward)
-  using of_real_eq_iff by fastforce
-
-lemma of_real_open_segment [simp]:
-  "of_real x \<in> open_segment (of_real a) (of_real b) \<longleftrightarrow> x \<in> open_segment a b"
-  apply (auto simp: in_segment scaleR_conv_of_real elim!: ex_forward del: exE)
-  using of_real_eq_iff by fastforce
-
-lemma midpoint_idem [simp]: "midpoint x x = x"
-  unfolding midpoint_def
-  unfolding scaleR_right_distrib
-  unfolding scaleR_left_distrib[symmetric]
-  by auto
-
-lemma midpoint_sym: "midpoint a b = midpoint b a"
-  unfolding midpoint_def by (auto simp add: scaleR_right_distrib)
-
-lemma midpoint_eq_iff: "midpoint a b = c \<longleftrightarrow> a + b = c + c"
-proof -
-  have "midpoint a b = c \<longleftrightarrow> scaleR 2 (midpoint a b) = scaleR 2 c"
-    by simp
-  then show ?thesis
-    unfolding midpoint_def scaleR_2 [symmetric] by simp
-qed
-
-lemma
-  fixes a::real
-  assumes "a \<le> b" shows ge_midpoint_1: "a \<le> midpoint a b"
-                    and le_midpoint_1: "midpoint a b \<le> b"
-  by (simp_all add: midpoint_def assms)
-
-lemma dist_midpoint:
-  fixes a b :: "'a::real_normed_vector" shows
-  "dist a (midpoint a b) = (dist a b) / 2" (is ?t1)
-  "dist b (midpoint a b) = (dist a b) / 2" (is ?t2)
-  "dist (midpoint a b) a = (dist a b) / 2" (is ?t3)
-  "dist (midpoint a b) b = (dist a b) / 2" (is ?t4)
-proof -
-  have *: "\<And>x y::'a. 2 *\<^sub>R x = - y \<Longrightarrow> norm x = (norm y) / 2"
-    unfolding equation_minus_iff by auto
-  have **: "\<And>x y::'a. 2 *\<^sub>R x =   y \<Longrightarrow> norm x = (norm y) / 2"
-    by auto
-  note scaleR_right_distrib [simp]
-  show ?t1
-    unfolding midpoint_def dist_norm
-    apply (rule **)
-    apply (simp add: scaleR_right_diff_distrib)
-    apply (simp add: scaleR_2)
-    done
-  show ?t2
-    unfolding midpoint_def dist_norm
-    apply (rule *)
-    apply (simp add: scaleR_right_diff_distrib)
-    apply (simp add: scaleR_2)
-    done
-  show ?t3
-    unfolding midpoint_def dist_norm
-    apply (rule *)
-    apply (simp add: scaleR_right_diff_distrib)
-    apply (simp add: scaleR_2)
-    done
-  show ?t4
-    unfolding midpoint_def dist_norm
-    apply (rule **)
-    apply (simp add: scaleR_right_diff_distrib)
-    apply (simp add: scaleR_2)
-    done
-qed
-
-lemma midpoint_eq_endpoint [simp]:
-  "midpoint a b = a \<longleftrightarrow> a = b"
-  "midpoint a b = b \<longleftrightarrow> a = b"
-  unfolding midpoint_eq_iff by auto
-
-lemma midpoint_plus_self [simp]: "midpoint a b + midpoint a b = a + b"
-  using midpoint_eq_iff by metis
-
-lemma midpoint_linear_image:
-   "linear f \<Longrightarrow> midpoint(f a)(f b) = f(midpoint a b)"
-by (simp add: linear_iff midpoint_def)
-
-subsection\<open>Starlike sets\<close>
-
-definition "starlike S \<longleftrightarrow> (\<exists>a\<in>S. \<forall>x\<in>S. closed_segment a x \<subseteq> S)"
-
-lemma starlike_UNIV [simp]: "starlike UNIV"
-  by (simp add: starlike_def)
-
-lemma convex_contains_segment:
-  "convex S \<longleftrightarrow> (\<forall>a\<in>S. \<forall>b\<in>S. closed_segment a b \<subseteq> S)"
-  unfolding convex_alt closed_segment_def by auto
-
-lemma closed_segment_subset: "\<lbrakk>x \<in> S; y \<in> S; convex S\<rbrakk> \<Longrightarrow> closed_segment x y \<subseteq> S"
-  by (simp add: convex_contains_segment)
-
-lemma closed_segment_subset_convex_hull:
-    "\<lbrakk>x \<in> convex hull S; y \<in> convex hull S\<rbrakk> \<Longrightarrow> closed_segment x y \<subseteq> convex hull S"
-  using convex_contains_segment by blast
-
-lemma convex_imp_starlike:
-  "convex S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> starlike S"
-  unfolding convex_contains_segment starlike_def by auto
-
-lemma segment_convex_hull:
-  "closed_segment a b = convex hull {a,b}"
-proof -
-  have *: "\<And>x. {x} \<noteq> {}" by auto
-  show ?thesis
-    unfolding segment convex_hull_insert[OF *] convex_hull_singleton
-    by (safe; rule_tac x="1 - u" in exI; force)
-qed
-
-lemma open_closed_segment: "u \<in> open_segment w z \<Longrightarrow> u \<in> closed_segment w z"
-  by (auto simp add: closed_segment_def open_segment_def)
-
-lemma segment_open_subset_closed:
-   "open_segment a b \<subseteq> closed_segment a b"
-  by (auto simp: closed_segment_def open_segment_def)
-
-lemma bounded_closed_segment:
-    fixes a :: "'a::euclidean_space" shows "bounded (closed_segment a b)"
-  by (simp add: segment_convex_hull compact_convex_hull compact_imp_bounded)
-
-lemma bounded_open_segment:
-    fixes a :: "'a::euclidean_space" shows "bounded (open_segment a b)"
-  by (rule bounded_subset [OF bounded_closed_segment segment_open_subset_closed])
-
-lemmas bounded_segment = bounded_closed_segment open_closed_segment
-
-lemma ends_in_segment [iff]: "a \<in> closed_segment a b" "b \<in> closed_segment a b"
-  unfolding segment_convex_hull
-  by (auto intro!: hull_subset[unfolded subset_eq, rule_format])
-
-lemma eventually_closed_segment:
-  fixes x0::"'a::real_normed_vector"
-  assumes "open X0" "x0 \<in> X0"
-  shows "\<forall>\<^sub>F x in at x0 within U. closed_segment x0 x \<subseteq> X0"
-proof -
-  from openE[OF assms]
-  obtain e where e: "0 < e" "ball x0 e \<subseteq> X0" .
-  then have "\<forall>\<^sub>F x in at x0 within U. x \<in> ball x0 e"
-    by (auto simp: dist_commute eventually_at)
-  then show ?thesis
-  proof eventually_elim
-    case (elim x)
-    have "x0 \<in> ball x0 e" using \<open>e > 0\<close> by simp
-    from convex_ball[unfolded convex_contains_segment, rule_format, OF this elim]
-    have "closed_segment x0 x \<subseteq> ball x0 e" .
-    also note \<open>\<dots> \<subseteq> X0\<close>
-    finally show ?case .
-  qed
-qed
-
-lemma segment_furthest_le:
-  fixes a b x y :: "'a::euclidean_space"
-  assumes "x \<in> closed_segment a b"
-  shows "norm (y - x) \<le> norm (y - a) \<or>  norm (y - x) \<le> norm (y - b)"
-proof -
-  obtain z where "z \<in> {a, b}" "norm (x - y) \<le> norm (z - y)"
-    using simplex_furthest_le[of "{a, b}" y]
-    using assms[unfolded segment_convex_hull]
-    by auto
-  then show ?thesis
-    by (auto simp add:norm_minus_commute)
-qed
-
-lemma closed_segment_commute: "closed_segment a b = closed_segment b a"
-proof -
-  have "{a, b} = {b, a}" by auto
-  thus ?thesis
-    by (simp add: segment_convex_hull)
-qed
-
-lemma segment_bound1:
-  assumes "x \<in> closed_segment a b"
-  shows "norm (x - a) \<le> norm (b - a)"
-proof -
-  obtain u where "x = (1 - u) *\<^sub>R a + u *\<^sub>R b" "0 \<le> u" "u \<le> 1"
-    using assms by (auto simp add: closed_segment_def)
-  then show "norm (x - a) \<le> norm (b - a)"
-    apply clarify
-    apply (auto simp: algebra_simps)
-    apply (simp add: scaleR_diff_right [symmetric] mult_left_le_one_le)
-    done
-qed
-
-lemma segment_bound:
-  assumes "x \<in> closed_segment a b"
-  shows "norm (x - a) \<le> norm (b - a)" "norm (x - b) \<le> norm (b - a)"
-apply (simp add: assms segment_bound1)
-by (metis assms closed_segment_commute dist_commute dist_norm segment_bound1)
-
-lemma open_segment_commute: "open_segment a b = open_segment b a"
-proof -
-  have "{a, b} = {b, a}" by auto
-  thus ?thesis
-    by (simp add: closed_segment_commute open_segment_def)
-qed
-
-lemma closed_segment_idem [simp]: "closed_segment a a = {a}"
-  unfolding segment by (auto simp add: algebra_simps)
-
-lemma open_segment_idem [simp]: "open_segment a a = {}"
-  by (simp add: open_segment_def)
-
-lemma closed_segment_eq_open: "closed_segment a b = open_segment a b \<union> {a,b}"
-  using open_segment_def by auto
-
-lemma convex_contains_open_segment:
-  "convex s \<longleftrightarrow> (\<forall>a\<in>s. \<forall>b\<in>s. open_segment a b \<subseteq> s)"
-  by (simp add: convex_contains_segment closed_segment_eq_open)
-
-lemma closed_segment_eq_real_ivl:
-  fixes a b::real
-  shows "closed_segment a b = (if a \<le> b then {a .. b} else {b .. a})"
-proof -
-  have "b \<le> a \<Longrightarrow> closed_segment b a = {b .. a}"
-    and "a \<le> b \<Longrightarrow> closed_segment a b = {a .. b}"
-    by (auto simp: convex_hull_eq_real_cbox segment_convex_hull)
-  thus ?thesis
-    by (auto simp: closed_segment_commute)
-qed
-
-lemma open_segment_eq_real_ivl:
-  fixes a b::real
-  shows "open_segment a b = (if a \<le> b then {a<..<b} else {b<..<a})"
-by (auto simp: closed_segment_eq_real_ivl open_segment_def split: if_split_asm)
-
-lemma closed_segment_real_eq:
-  fixes u::real shows "closed_segment u v = (\<lambda>x. (v - u) * x + u) ` {0..1}"
-  by (simp add: add.commute [of u] image_affinity_atLeastAtMost [where c=u] closed_segment_eq_real_ivl)
-
-lemma dist_in_closed_segment:
-  fixes a :: "'a :: euclidean_space"
-  assumes "x \<in> closed_segment a b"
-    shows "dist x a \<le> dist a b \<and> dist x b \<le> dist a b"
-proof (intro conjI)
-  obtain u where u: "0 \<le> u" "u \<le> 1" and x: "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
-    using assms by (force simp: in_segment algebra_simps)
-  have "dist x a = u * dist a b"
-    apply (simp add: dist_norm algebra_simps x)
-    by (metis \<open>0 \<le> u\<close> abs_of_nonneg norm_minus_commute norm_scaleR real_vector.scale_right_diff_distrib)
-  also have "...  \<le> dist a b"
-    by (simp add: mult_left_le_one_le u)
-  finally show "dist x a \<le> dist a b" .
-  have "dist x b = norm ((1-u) *\<^sub>R a - (1-u) *\<^sub>R b)"
-    by (simp add: dist_norm algebra_simps x)
-  also have "... = (1-u) * dist a b"
-  proof -
-    have "norm ((1 - 1 * u) *\<^sub>R (a - b)) = (1 - 1 * u) * norm (a - b)"
-      using \<open>u \<le> 1\<close> by force
-    then show ?thesis                     
-      by (simp add: dist_norm real_vector.scale_right_diff_distrib)
-  qed
-  also have "... \<le> dist a b"
-    by (simp add: mult_left_le_one_le u)
-  finally show "dist x b \<le> dist a b" .
-qed
-
-lemma dist_in_open_segment:
-  fixes a :: "'a :: euclidean_space"
-  assumes "x \<in> open_segment a b"
-    shows "dist x a < dist a b \<and> dist x b < dist a b"
-proof (intro conjI)
-  obtain u where u: "0 < u" "u < 1" and x: "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
-    using assms by (force simp: in_segment algebra_simps)
-  have "dist x a = u * dist a b"
-    apply (simp add: dist_norm algebra_simps x)
-    by (metis abs_of_nonneg less_eq_real_def norm_minus_commute norm_scaleR real_vector.scale_right_diff_distrib \<open>0 < u\<close>)
-  also have *: "...  < dist a b"
-    by (metis (no_types) assms dist_eq_0_iff dist_not_less_zero in_segment(2) linorder_neqE_linordered_idom mult.left_neutral real_mult_less_iff1 \<open>u < 1\<close>)
-  finally show "dist x a < dist a b" .
-  have ab_ne0: "dist a b \<noteq> 0"
-    using * by fastforce
-  have "dist x b = norm ((1-u) *\<^sub>R a - (1-u) *\<^sub>R b)"
-    by (simp add: dist_norm algebra_simps x)
-  also have "... = (1-u) * dist a b"
-  proof -
-    have "norm ((1 - 1 * u) *\<^sub>R (a - b)) = (1 - 1 * u) * norm (a - b)"
-      using \<open>u < 1\<close> by force
-    then show ?thesis
-      by (simp add: dist_norm real_vector.scale_right_diff_distrib)
-  qed
-  also have "... < dist a b"
-    using ab_ne0 \<open>0 < u\<close> by simp
-  finally show "dist x b < dist a b" .
-qed
-
-lemma dist_decreases_open_segment_0:
-  fixes x :: "'a :: euclidean_space"
-  assumes "x \<in> open_segment 0 b"
-    shows "dist c x < dist c 0 \<or> dist c x < dist c b"
-proof (rule ccontr, clarsimp simp: not_less)
-  obtain u where u: "0 \<noteq> b" "0 < u" "u < 1" and x: "x = u *\<^sub>R b"
-    using assms by (auto simp: in_segment)
-  have xb: "x \<bullet> b < b \<bullet> b"
-    using u x by auto
-  assume "norm c \<le> dist c x"
-  then have "c \<bullet> c \<le> (c - x) \<bullet> (c - x)"
-    by (simp add: dist_norm norm_le)
-  moreover have "0 < x \<bullet> b"
-    using u x by auto
-  ultimately have less: "c \<bullet> b < x \<bullet> b"
-    by (simp add: x algebra_simps inner_commute u)
-  assume "dist c b \<le> dist c x"
-  then have "(c - b) \<bullet> (c - b) \<le> (c - x) \<bullet> (c - x)"
-    by (simp add: dist_norm norm_le)
-  then have "(b \<bullet> b) * (1 - u*u) \<le> 2 * (b \<bullet> c) * (1-u)"
-    by (simp add: x algebra_simps inner_commute)
-  then have "(1+u) * (b \<bullet> b) * (1-u) \<le> 2 * (b \<bullet> c) * (1-u)"
-    by (simp add: algebra_simps)
-  then have "(1+u) * (b \<bullet> b) \<le> 2 * (b \<bullet> c)"
-    using \<open>u < 1\<close> by auto
-  with xb have "c \<bullet> b \<ge> x \<bullet> b"
-    by (auto simp: x algebra_simps inner_commute)
-  with less show False by auto
-qed
-
-proposition dist_decreases_open_segment:
-  fixes a :: "'a :: euclidean_space"
-  assumes "x \<in> open_segment a b"
-    shows "dist c x < dist c a \<or> dist c x < dist c b"
-proof -
-  have *: "x - a \<in> open_segment 0 (b - a)" using assms
-    by (metis diff_self open_segment_translation_eq uminus_add_conv_diff)
-  show ?thesis
-    using dist_decreases_open_segment_0 [OF *, of "c-a"] assms
-    by (simp add: dist_norm)
-qed
-
-corollary open_segment_furthest_le:
-  fixes a b x y :: "'a::euclidean_space"
-  assumes "x \<in> open_segment a b"
-  shows "norm (y - x) < norm (y - a) \<or>  norm (y - x) < norm (y - b)"
-  by (metis assms dist_decreases_open_segment dist_norm)
-
-corollary dist_decreases_closed_segment:
-  fixes a :: "'a :: euclidean_space"
-  assumes "x \<in> closed_segment a b"
-    shows "dist c x \<le> dist c a \<or> dist c x \<le> dist c b"
-apply (cases "x \<in> open_segment a b")
- using dist_decreases_open_segment less_eq_real_def apply blast
-by (metis DiffI assms empty_iff insertE open_segment_def order_refl)
-
-lemma convex_intermediate_ball:
-  fixes a :: "'a :: euclidean_space"
-  shows "\<lbrakk>ball a r \<subseteq> T; T \<subseteq> cball a r\<rbrakk> \<Longrightarrow> convex T"
-apply (simp add: convex_contains_open_segment, clarify)
-by (metis (no_types, hide_lams) less_le_trans mem_ball mem_cball subsetCE dist_decreases_open_segment)
-
-lemma csegment_midpoint_subset: "closed_segment (midpoint a b) b \<subseteq> closed_segment a b"
-  apply (clarsimp simp: midpoint_def in_segment)
-  apply (rule_tac x="(1 + u) / 2" in exI)
-  apply (auto simp: algebra_simps add_divide_distrib diff_divide_distrib)
-  by (metis real_sum_of_halves scaleR_left.add)
-
-lemma notin_segment_midpoint:
-  fixes a :: "'a :: euclidean_space"
-  shows "a \<noteq> b \<Longrightarrow> a \<notin> closed_segment (midpoint a b) b"
-by (auto simp: dist_midpoint dest!: dist_in_closed_segment)
-
-lemma segment_to_closest_point:
-  fixes S :: "'a :: euclidean_space set"
-  shows "\<lbrakk>closed S; S \<noteq> {}\<rbrakk> \<Longrightarrow> open_segment a (closest_point S a) \<inter> S = {}"
-  apply (subst disjoint_iff_not_equal)
-  apply (clarify dest!: dist_in_open_segment)
-  by (metis closest_point_le dist_commute le_less_trans less_irrefl)
-
-lemma segment_to_point_exists:
-  fixes S :: "'a :: euclidean_space set"
-    assumes "closed S" "S \<noteq> {}"
-    obtains b where "b \<in> S" "open_segment a b \<inter> S = {}"
-  by (metis assms segment_to_closest_point closest_point_exists that)
-
-subsubsection\<open>More lemmas, especially for working with the underlying formula\<close>
-
-lemma segment_eq_compose:
-  fixes a :: "'a :: real_vector"
-  shows "(\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) = (\<lambda>x. a + x) o (\<lambda>u. u *\<^sub>R (b - a))"
-    by (simp add: o_def algebra_simps)
-
-lemma segment_degen_1:
-  fixes a :: "'a :: real_vector"
-  shows "(1 - u) *\<^sub>R a + u *\<^sub>R b = b \<longleftrightarrow> a=b \<or> u=1"
-proof -
-  { assume "(1 - u) *\<^sub>R a + u *\<^sub>R b = b"
-    then have "(1 - u) *\<^sub>R a = (1 - u) *\<^sub>R b"
-      by (simp add: algebra_simps)
-    then have "a=b \<or> u=1"
-      by simp
-  } then show ?thesis
-      by (auto simp: algebra_simps)
-qed
-
-lemma segment_degen_0:
-    fixes a :: "'a :: real_vector"
-    shows "(1 - u) *\<^sub>R a + u *\<^sub>R b = a \<longleftrightarrow> a=b \<or> u=0"
-  using segment_degen_1 [of "1-u" b a]
-  by (auto simp: algebra_simps)
-
-lemma add_scaleR_degen:
-  fixes a b ::"'a::real_vector"
-  assumes  "(u *\<^sub>R b + v *\<^sub>R a) = (u *\<^sub>R a + v *\<^sub>R b)"  "u \<noteq> v"
-  shows "a=b"
-  by (metis (no_types, hide_lams) add.commute add_diff_eq diff_add_cancel real_vector.scale_cancel_left real_vector.scale_left_diff_distrib assms)
-  
-lemma closed_segment_image_interval:
-     "closed_segment a b = (\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) ` {0..1}"
-  by (auto simp: set_eq_iff image_iff closed_segment_def)
-
-lemma open_segment_image_interval:
-     "open_segment a b = (if a=b then {} else (\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) ` {0<..<1})"
-  by (auto simp:  open_segment_def closed_segment_def segment_degen_0 segment_degen_1)
-
-lemmas segment_image_interval = closed_segment_image_interval open_segment_image_interval
-
-lemma open_segment_bound1:
-  assumes "x \<in> open_segment a b"
-  shows "norm (x - a) < norm (b - a)"
-proof -
-  obtain u where "x = (1 - u) *\<^sub>R a + u *\<^sub>R b" "0 < u" "u < 1" "a \<noteq> b"
-    using assms by (auto simp add: open_segment_image_interval split: if_split_asm)
-  then show "norm (x - a) < norm (b - a)"
-    apply clarify
-    apply (auto simp: algebra_simps)
-    apply (simp add: scaleR_diff_right [symmetric])
-    done
-qed
-
-lemma compact_segment [simp]:
-  fixes a :: "'a::real_normed_vector"
-  shows "compact (closed_segment a b)"
-  by (auto simp: segment_image_interval intro!: compact_continuous_image continuous_intros)
-
-lemma closed_segment [simp]:
-  fixes a :: "'a::real_normed_vector"
-  shows "closed (closed_segment a b)"
-  by (simp add: compact_imp_closed)
-
-lemma closure_closed_segment [simp]:
-  fixes a :: "'a::real_normed_vector"
-  shows "closure(closed_segment a b) = closed_segment a b"
-  by simp
-
-lemma open_segment_bound:
-  assumes "x \<in> open_segment a b"
-  shows "norm (x - a) < norm (b - a)" "norm (x - b) < norm (b - a)"
-apply (simp add: assms open_segment_bound1)
-by (metis assms norm_minus_commute open_segment_bound1 open_segment_commute)
-
-lemma closure_open_segment [simp]:
-    fixes a :: "'a::euclidean_space"
-    shows "closure(open_segment a b) = (if a = b then {} else closed_segment a b)"
-proof -
-  have "closure ((\<lambda>u. u *\<^sub>R (b - a)) ` {0<..<1}) = (\<lambda>u. u *\<^sub>R (b - a)) ` closure {0<..<1}" if "a \<noteq> b"
-    apply (rule closure_injective_linear_image [symmetric])
-    apply (simp add:)
-    using that by (simp add: inj_on_def)
-  then show ?thesis
-    by (simp add: segment_image_interval segment_eq_compose closure_greaterThanLessThan [symmetric]
-         closure_translation image_comp [symmetric] del: closure_greaterThanLessThan)
-qed
-
-lemma closed_open_segment_iff [simp]:
-    fixes a :: "'a::euclidean_space"  shows "closed(open_segment a b) \<longleftrightarrow> a = b"
-  by (metis open_segment_def DiffE closure_eq closure_open_segment ends_in_segment(1) insert_iff segment_image_interval(2))
-
-lemma compact_open_segment_iff [simp]:
-    fixes a :: "'a::euclidean_space"  shows "compact(open_segment a b) \<longleftrightarrow> a = b"
-  by (simp add: bounded_open_segment compact_eq_bounded_closed)
-
-lemma convex_closed_segment [iff]: "convex (closed_segment a b)"
-  unfolding segment_convex_hull by(rule convex_convex_hull)
-
-lemma convex_open_segment [iff]: "convex(open_segment a b)"
-proof -
-  have "convex ((\<lambda>u. u *\<^sub>R (b-a)) ` {0<..<1})"
-    by (rule convex_linear_image) auto
-  then show ?thesis
-    apply (simp add: open_segment_image_interval segment_eq_compose)
-    by (metis image_comp convex_translation)
-qed
-
-
-lemmas convex_segment = convex_closed_segment convex_open_segment
-
-lemma connected_segment [iff]:
-  fixes x :: "'a :: real_normed_vector"
-  shows "connected (closed_segment x y)"
-  by (simp add: convex_connected)
-
-lemma affine_hull_closed_segment [simp]:
-     "affine hull (closed_segment a b) = affine hull {a,b}"
-  by (simp add: segment_convex_hull)
-
-lemma affine_hull_open_segment [simp]:
-    fixes a :: "'a::euclidean_space"
-    shows "affine hull (open_segment a b) = (if a = b then {} else affine hull {a,b})"
-by (metis affine_hull_convex_hull affine_hull_empty closure_open_segment closure_same_affine_hull segment_convex_hull)
-
-lemma rel_interior_closure_convex_segment:
-  fixes S :: "_::euclidean_space set"
-  assumes "convex S" "a \<in> rel_interior S" "b \<in> closure S"
-    shows "open_segment a b \<subseteq> rel_interior S"
-proof
-  fix x
-  have [simp]: "(1 - u) *\<^sub>R a + u *\<^sub>R b = b - (1 - u) *\<^sub>R (b - a)" for u
-    by (simp add: algebra_simps)
-  assume "x \<in> open_segment a b"
-  then show "x \<in> rel_interior S"
-    unfolding closed_segment_def open_segment_def  using assms
-    by (auto intro: rel_interior_closure_convex_shrink)
-qed
-
-lemma convex_hull_insert_segments:
-   "convex hull (insert a S) =
-    (if S = {} then {a} else  \<Union>x \<in> convex hull S. closed_segment a x)"
-  by (force simp add: convex_hull_insert_alt in_segment)
-
-lemma Int_convex_hull_insert_rel_exterior:
-  fixes z :: "'a::euclidean_space"
-  assumes "convex C" "T \<subseteq> C" and z: "z \<in> rel_interior C" and dis: "disjnt S (rel_interior C)"
-  shows "S \<inter> (convex hull (insert z T)) = S \<inter> (convex hull T)" (is "?lhs = ?rhs")
-proof
-  have "T = {} \<Longrightarrow> z \<notin> S"
-    using dis z by (auto simp add: disjnt_def)
-  then show "?lhs \<subseteq> ?rhs"
-  proof (clarsimp simp add: convex_hull_insert_segments)
-    fix x y
-    assume "x \<in> S" and y: "y \<in> convex hull T" and "x \<in> closed_segment z y"
-    have "y \<in> closure C"
-      by (metis y \<open>convex C\<close> \<open>T \<subseteq> C\<close> closure_subset contra_subsetD convex_hull_eq hull_mono)
-    moreover have "x \<notin> rel_interior C"
-      by (meson \<open>x \<in> S\<close> dis disjnt_iff)
-    moreover have "x \<in> open_segment z y \<union> {z, y}"
-      using \<open>x \<in> closed_segment z y\<close> closed_segment_eq_open by blast
-    ultimately show "x \<in> convex hull T"
-      using rel_interior_closure_convex_segment [OF \<open>convex C\<close> z]
-      using y z by blast
-  qed
-  show "?rhs \<subseteq> ?lhs"
-    by (meson hull_mono inf_mono subset_insertI subset_refl)
-qed
-
-subsection\<open>More results about segments\<close>
-
-lemma dist_half_times2:
-  fixes a :: "'a :: real_normed_vector"
-  shows "dist ((1 / 2) *\<^sub>R (a + b)) x * 2 = dist (a+b) (2 *\<^sub>R x)"
-proof -
-  have "norm ((1 / 2) *\<^sub>R (a + b) - x) * 2 = norm (2 *\<^sub>R ((1 / 2) *\<^sub>R (a + b) - x))"
-    by simp
-  also have "... = norm ((a + b) - 2 *\<^sub>R x)"
-    by (simp add: real_vector.scale_right_diff_distrib)
-  finally show ?thesis
-    by (simp only: dist_norm)
-qed
-
-lemma closed_segment_as_ball:
-    "closed_segment a b = affine hull {a,b} \<inter> cball(inverse 2 *\<^sub>R (a + b))(norm(b - a) / 2)"
-proof (cases "b = a")
-  case True then show ?thesis by (auto simp: hull_inc)
-next
-  case False
-  then have *: "((\<exists>u v. x = u *\<^sub>R a + v *\<^sub>R b \<and> u + v = 1) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 \<le> norm (b - a)) =
-                 (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> 0 \<le> u \<and> u \<le> 1)" for x
-  proof -
-    have "((\<exists>u v. x = u *\<^sub>R a + v *\<^sub>R b \<and> u + v = 1) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 \<le> norm (b - a)) =
-          ((\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 \<le> norm (b - a))"
-      unfolding eq_diff_eq [symmetric] by simp
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                          norm ((a+b) - (2 *\<^sub>R x)) \<le> norm (b - a))"
-      by (simp add: dist_half_times2) (simp add: dist_norm)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-            norm ((a+b) - (2 *\<^sub>R ((1 - u) *\<^sub>R a + u *\<^sub>R b))) \<le> norm (b - a))"
-      by auto
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                norm ((1 - u * 2) *\<^sub>R (b - a)) \<le> norm (b - a))"
-      by (simp add: algebra_simps scaleR_2)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                          \<bar>1 - u * 2\<bar> * norm (b - a) \<le> norm (b - a))"
-      by simp
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> \<bar>1 - u * 2\<bar> \<le> 1)"
-      by (simp add: mult_le_cancel_right2 False)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> 0 \<le> u \<and> u \<le> 1)"
-      by auto
-    finally show ?thesis .
-  qed
-  show ?thesis
-    by (simp add: affine_hull_2 Set.set_eq_iff closed_segment_def *)
-qed
-
-lemma open_segment_as_ball:
-    "open_segment a b =
-     affine hull {a,b} \<inter> ball(inverse 2 *\<^sub>R (a + b))(norm(b - a) / 2)"
-proof (cases "b = a")
-  case True then show ?thesis by (auto simp: hull_inc)
-next
-  case False
-  then have *: "((\<exists>u v. x = u *\<^sub>R a + v *\<^sub>R b \<and> u + v = 1) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 < norm (b - a)) =
-                 (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> 0 < u \<and> u < 1)" for x
-  proof -
-    have "((\<exists>u v. x = u *\<^sub>R a + v *\<^sub>R b \<and> u + v = 1) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 < norm (b - a)) =
-          ((\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b) \<and>
-                  dist ((1 / 2) *\<^sub>R (a + b)) x * 2 < norm (b - a))"
-      unfolding eq_diff_eq [symmetric] by simp
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                          norm ((a+b) - (2 *\<^sub>R x)) < norm (b - a))"
-      by (simp add: dist_half_times2) (simp add: dist_norm)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-            norm ((a+b) - (2 *\<^sub>R ((1 - u) *\<^sub>R a + u *\<^sub>R b))) < norm (b - a))"
-      by auto
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                norm ((1 - u * 2) *\<^sub>R (b - a)) < norm (b - a))"
-      by (simp add: algebra_simps scaleR_2)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and>
-                          \<bar>1 - u * 2\<bar> * norm (b - a) < norm (b - a))"
-      by simp
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> \<bar>1 - u * 2\<bar> < 1)"
-      by (simp add: mult_le_cancel_right2 False)
-    also have "... = (\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> 0 < u \<and> u < 1)"
-      by auto
-    finally show ?thesis .
-  qed
-  show ?thesis
-    using False by (force simp: affine_hull_2 Set.set_eq_iff open_segment_image_interval *)
-qed
-
-lemmas segment_as_ball = closed_segment_as_ball open_segment_as_ball
-
-lemma closed_segment_neq_empty [simp]: "closed_segment a b \<noteq> {}"
-  by auto
-
-lemma open_segment_eq_empty [simp]: "open_segment a b = {} \<longleftrightarrow> a = b"
-proof -
-  { assume a1: "open_segment a b = {}"
-    have "{} \<noteq> {0::real<..<1}"
-      by simp
-    then have "a = b"
-      using a1 open_segment_image_interval by fastforce
-  } then show ?thesis by auto
-qed
-
-lemma open_segment_eq_empty' [simp]: "{} = open_segment a b \<longleftrightarrow> a = b"
-  using open_segment_eq_empty by blast
-
-lemmas segment_eq_empty = closed_segment_neq_empty open_segment_eq_empty
-
-lemma inj_segment:
-  fixes a :: "'a :: real_vector"
-  assumes "a \<noteq> b"
-    shows "inj_on (\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) I"
-proof
-  fix x y
-  assume "(1 - x) *\<^sub>R a + x *\<^sub>R b = (1 - y) *\<^sub>R a + y *\<^sub>R b"
-  then have "x *\<^sub>R (b - a) = y *\<^sub>R (b - a)"
-    by (simp add: algebra_simps)
-  with assms show "x = y"
-    by (simp add: real_vector.scale_right_imp_eq)
-qed
-
-lemma finite_closed_segment [simp]: "finite(closed_segment a b) \<longleftrightarrow> a = b"
-  apply auto
-  apply (rule ccontr)
-  apply (simp add: segment_image_interval)
-  using infinite_Icc [OF zero_less_one] finite_imageD [OF _ inj_segment] apply blast
-  done
-
-lemma finite_open_segment [simp]: "finite(open_segment a b) \<longleftrightarrow> a = b"
-  by (auto simp: open_segment_def)
-
-lemmas finite_segment = finite_closed_segment finite_open_segment
-
-lemma closed_segment_eq_sing: "closed_segment a b = {c} \<longleftrightarrow> a = c \<and> b = c"
-  by auto
-
-lemma open_segment_eq_sing: "open_segment a b \<noteq> {c}"
-  by (metis finite_insert finite_open_segment insert_not_empty open_segment_image_interval)
-
-lemmas segment_eq_sing = closed_segment_eq_sing open_segment_eq_sing
-
-lemma subset_closed_segment:
-    "closed_segment a b \<subseteq> closed_segment c d \<longleftrightarrow>
-     a \<in> closed_segment c d \<and> b \<in> closed_segment c d"
-  by auto (meson contra_subsetD convex_closed_segment convex_contains_segment)
-
-lemma subset_co_segment:
-    "closed_segment a b \<subseteq> open_segment c d \<longleftrightarrow>
-     a \<in> open_segment c d \<and> b \<in> open_segment c d"
-using closed_segment_subset by blast
-
-lemma subset_open_segment:
-  fixes a :: "'a::euclidean_space"
-  shows "open_segment a b \<subseteq> open_segment c d \<longleftrightarrow>
-         a = b \<or> a \<in> closed_segment c d \<and> b \<in> closed_segment c d"
-        (is "?lhs = ?rhs")
-proof (cases "a = b")
-  case True then show ?thesis by simp
-next
-  case False show ?thesis
-  proof
-    assume rhs: ?rhs
-    with \<open>a \<noteq> b\<close> have "c \<noteq> d"
-      using closed_segment_idem singleton_iff by auto
-    have "\<exists>uc. (1 - u) *\<^sub>R ((1 - ua) *\<^sub>R c + ua *\<^sub>R d) + u *\<^sub>R ((1 - ub) *\<^sub>R c + ub *\<^sub>R d) =
-               (1 - uc) *\<^sub>R c + uc *\<^sub>R d \<and> 0 < uc \<and> uc < 1"
-        if neq: "(1 - ua) *\<^sub>R c + ua *\<^sub>R d \<noteq> (1 - ub) *\<^sub>R c + ub *\<^sub>R d" "c \<noteq> d"
-           and "a = (1 - ua) *\<^sub>R c + ua *\<^sub>R d" "b = (1 - ub) *\<^sub>R c + ub *\<^sub>R d"
-           and u: "0 < u" "u < 1" and uab: "0 \<le> ua" "ua \<le> 1" "0 \<le> ub" "ub \<le> 1"
-        for u ua ub
-    proof -
-      have "ua \<noteq> ub"
-        using neq by auto
-      moreover have "(u - 1) * ua \<le> 0" using u uab
-        by (simp add: mult_nonpos_nonneg)
-      ultimately have lt: "(u - 1) * ua < u * ub" using u uab
-        by (metis antisym_conv diff_ge_0_iff_ge le_less_trans mult_eq_0_iff mult_le_0_iff not_less)
-      have "p * ua + q * ub < p+q" if p: "0 < p" and  q: "0 < q" for p q
-      proof -
-        have "\<not> p \<le> 0" "\<not> q \<le> 0"
-          using p q not_less by blast+
-        then show ?thesis
-          by (metis \<open>ua \<noteq> ub\<close> add_less_cancel_left add_less_cancel_right add_mono_thms_linordered_field(5)
-                    less_eq_real_def mult_cancel_left1 mult_less_cancel_left2 uab(2) uab(4))
-      qed
-      then have "(1 - u) * ua + u * ub < 1" using u \<open>ua \<noteq> ub\<close>
-        by (metis diff_add_cancel diff_gt_0_iff_gt)
-      with lt show ?thesis
-        by (rule_tac x="ua + u*(ub-ua)" in exI) (simp add: algebra_simps)
-    qed
-    with rhs \<open>a \<noteq> b\<close> \<open>c \<noteq> d\<close> show ?lhs
-      unfolding open_segment_image_interval closed_segment_def
-      by (fastforce simp add:)
-  next
-    assume lhs: ?lhs
-    with \<open>a \<noteq> b\<close> have "c \<noteq> d"
-      by (meson finite_open_segment rev_finite_subset)
-    have "closure (open_segment a b) \<subseteq> closure (open_segment c d)"
-      using lhs closure_mono by blast
-    then have "closed_segment a b \<subseteq> closed_segment c d"
-      by (simp add: \<open>a \<noteq> b\<close> \<open>c \<noteq> d\<close>)
-    then show ?rhs
-      by (force simp: \<open>a \<noteq> b\<close>)
-  qed
-qed
-
-lemma subset_oc_segment:
-  fixes a :: "'a::euclidean_space"
-  shows "open_segment a b \<subseteq> closed_segment c d \<longleftrightarrow>
-         a = b \<or> a \<in> closed_segment c d \<and> b \<in> closed_segment c d"
-apply (simp add: subset_open_segment [symmetric])
-apply (rule iffI)
- apply (metis closure_closed_segment closure_mono closure_open_segment subset_closed_segment subset_open_segment)
-apply (meson dual_order.trans segment_open_subset_closed)
-done
-
-lemmas subset_segment = subset_closed_segment subset_co_segment subset_oc_segment subset_open_segment
-
-
-subsection\<open>Betweenness\<close>
-
-definition "between = (\<lambda>(a,b) x. x \<in> closed_segment a b)"
-
-lemma betweenI:
-  assumes "0 \<le> u" "u \<le> 1" "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
-  shows "between (a, b) x"
-using assms unfolding between_def closed_segment_def by auto
-
-lemma betweenE:
-  assumes "between (a, b) x"
-  obtains u where "0 \<le> u" "u \<le> 1" "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
-using assms unfolding between_def closed_segment_def by auto
-
-lemma between_implies_scaled_diff:
-  assumes "between (S, T) X" "between (S, T) Y" "S \<noteq> Y"
-  obtains c where "(X - Y) = c *\<^sub>R (S - Y)"
-proof -
-  from \<open>between (S, T) X\<close> obtain u\<^sub>X where X: "X = u\<^sub>X *\<^sub>R S + (1 - u\<^sub>X) *\<^sub>R T"
-    by (metis add.commute betweenE eq_diff_eq)
-  from \<open>between (S, T) Y\<close> obtain u\<^sub>Y where Y: "Y = u\<^sub>Y *\<^sub>R S + (1 - u\<^sub>Y) *\<^sub>R T"
-    by (metis add.commute betweenE eq_diff_eq)
-  have "X - Y = (u\<^sub>X - u\<^sub>Y) *\<^sub>R (S - T)"
-  proof -
-    from X Y have "X - Y =  u\<^sub>X *\<^sub>R S - u\<^sub>Y *\<^sub>R S + ((1 - u\<^sub>X) *\<^sub>R T - (1 - u\<^sub>Y) *\<^sub>R T)" by simp
-    also have "\<dots> = (u\<^sub>X - u\<^sub>Y) *\<^sub>R S - (u\<^sub>X - u\<^sub>Y) *\<^sub>R T" by (simp add: scaleR_left.diff)
-    finally show ?thesis by (simp add: real_vector.scale_right_diff_distrib)
-  qed
-  moreover from Y have "S - Y = (1 - u\<^sub>Y) *\<^sub>R (S - T)"
-    by (simp add: real_vector.scale_left_diff_distrib real_vector.scale_right_diff_distrib)
-  moreover note \<open>S \<noteq> Y\<close>
-  ultimately have "(X - Y) = ((u\<^sub>X - u\<^sub>Y) / (1 - u\<^sub>Y)) *\<^sub>R (S - Y)" by auto
-  from this that show thesis by blast
-qed
-
-lemma between_mem_segment: "between (a,b) x \<longleftrightarrow> x \<in> closed_segment a b"
-  unfolding between_def by auto
-
-lemma between: "between (a, b) (x::'a::euclidean_space) \<longleftrightarrow> dist a b = (dist a x) + (dist x b)"
-proof (cases "a = b")
-  case True
-  then show ?thesis
-    unfolding between_def split_conv
-    by (auto simp add: dist_commute)
-next
-  case False
-  then have Fal: "norm (a - b) \<noteq> 0" and Fal2: "norm (a - b) > 0"
-    by auto
-  have *: "\<And>u. a - ((1 - u) *\<^sub>R a + u *\<^sub>R b) = u *\<^sub>R (a - b)"
-    by (auto simp add: algebra_simps)
-  show ?thesis
-    unfolding between_def split_conv closed_segment_def mem_Collect_eq
-    apply rule
-    apply (elim exE conjE)
-    apply (subst dist_triangle_eq)
-  proof -
-    fix u
-    assume as: "x = (1 - u) *\<^sub>R a + u *\<^sub>R b" "0 \<le> u" "u \<le> 1"
-    then have *: "a - x = u *\<^sub>R (a - b)" "x - b = (1 - u) *\<^sub>R (a - b)"
-      unfolding as(1) by (auto simp add:algebra_simps)
-    show "norm (a - x) *\<^sub>R (x - b) = norm (x - b) *\<^sub>R (a - x)"
-      unfolding norm_minus_commute[of x a] * using as(2,3)
-      by (auto simp add: field_simps)
-  next
-    assume as: "dist a b = dist a x + dist x b"
-    have "norm (a - x) / norm (a - b) \<le> 1"
-      using Fal2 unfolding as[unfolded dist_norm] norm_ge_zero by auto
-    then show "\<exists>u. x = (1 - u) *\<^sub>R a + u *\<^sub>R b \<and> 0 \<le> u \<and> u \<le> 1"
-      apply (rule_tac x="dist a x / dist a b" in exI)
-      unfolding dist_norm
-      apply (subst euclidean_eq_iff)
-      apply rule
-      defer
-      apply rule
-      prefer 3
-      apply rule
-    proof -
-      fix i :: 'a
-      assume i: "i \<in> Basis"
-      have "((1 - norm (a - x) / norm (a - b)) *\<^sub>R a + (norm (a - x) / norm (a - b)) *\<^sub>R b) \<bullet> i =
-        ((norm (a - b) - norm (a - x)) * (a \<bullet> i) + norm (a - x) * (b \<bullet> i)) / norm (a - b)"
-        using Fal by (auto simp add: field_simps inner_simps)
-      also have "\<dots> = x\<bullet>i"
-        apply (rule divide_eq_imp[OF Fal])
-        unfolding as[unfolded dist_norm]
-        using as[unfolded dist_triangle_eq]
-        apply -
-        apply (subst (asm) euclidean_eq_iff)
-        using i
-        apply (erule_tac x=i in ballE)
-        apply (auto simp add: field_simps inner_simps)
-        done
-      finally show "x \<bullet> i =
-        ((1 - norm (a - x) / norm (a - b)) *\<^sub>R a + (norm (a - x) / norm (a - b)) *\<^sub>R b) \<bullet> i"
-        by auto
-    qed (insert Fal2, auto)
-  qed
-qed
-
-lemma between_midpoint:
-  fixes a :: "'a::euclidean_space"
-  shows "between (a,b) (midpoint a b)" (is ?t1)
-    and "between (b,a) (midpoint a b)" (is ?t2)
-proof -
-  have *: "\<And>x y z. x = (1/2::real) *\<^sub>R z \<Longrightarrow> y = (1/2) *\<^sub>R z \<Longrightarrow> norm z = norm x + norm y"
-    by auto
-  show ?t1 ?t2
-    unfolding between midpoint_def dist_norm
-    apply(rule_tac[!] *)
-    unfolding euclidean_eq_iff[where 'a='a]
-    apply (auto simp add: field_simps inner_simps)
-    done
-qed
-
-lemma between_mem_convex_hull:
-  "between (a,b) x \<longleftrightarrow> x \<in> convex hull {a,b}"
-  unfolding between_mem_segment segment_convex_hull ..
-
-lemma between_triv_iff [simp]: "between (a,a) b \<longleftrightarrow> a=b"
-  by (auto simp: between_def)
-
-lemma between_triv1 [simp]: "between (a,b) a"
-  by (auto simp: between_def)
-
-lemma between_triv2 [simp]: "between (a,b) b"
-  by (auto simp: between_def)
-
-lemma between_commute:
-   "between (a,b) = between (b,a)"
-by (auto simp: between_def closed_segment_commute)
-
-lemma between_antisym:
-  fixes a :: "'a :: euclidean_space"
-  shows "\<lbrakk>between (b,c) a; between (a,c) b\<rbrakk> \<Longrightarrow> a = b"
-by (auto simp: between dist_commute)
-
-lemma between_trans:
-    fixes a :: "'a :: euclidean_space"
-    shows "\<lbrakk>between (b,c) a; between (a,c) d\<rbrakk> \<Longrightarrow> between (b,c) d"
-  using dist_triangle2 [of b c d] dist_triangle3 [of b d a]
-  by (auto simp: between dist_commute)
-
-lemma between_norm:
-    fixes a :: "'a :: euclidean_space"
-    shows "between (a,b) x \<longleftrightarrow> norm(x - a) *\<^sub>R (b - x) = norm(b - x) *\<^sub>R (x - a)"
-  by (auto simp: between dist_triangle_eq norm_minus_commute algebra_simps)
-
-lemma between_swap:
-  fixes A B X Y :: "'a::euclidean_space"
-  assumes "between (A, B) X"
-  assumes "between (A, B) Y"
-  shows "between (X, B) Y \<longleftrightarrow> between (A, Y) X"
-using assms by (auto simp add: between)
-
-lemma between_translation [simp]: "between (a + y,a + z) (a + x) \<longleftrightarrow> between (y,z) x"
-  by (auto simp: between_def)
-
-lemma between_trans_2:
-  fixes a :: "'a :: euclidean_space"
-  shows "\<lbrakk>between (b,c) a; between (a,b) d\<rbrakk> \<Longrightarrow> between (c,d) a"
-  by (metis between_commute between_swap between_trans)
-
-lemma between_scaleR_lift [simp]:
-  fixes v :: "'a::euclidean_space"
-  shows "between (a *\<^sub>R v, b *\<^sub>R v) (c *\<^sub>R v) \<longleftrightarrow> v = 0 \<or> between (a, b) c"
-  by (simp add: between dist_norm scaleR_left_diff_distrib [symmetric] distrib_right [symmetric])
-
-lemma between_1:
-  fixes x::real
-  shows "between (a,b) x \<longleftrightarrow> (a \<le> x \<and> x \<le> b) \<or> (b \<le> x \<and> x \<le> a)"
-  by (auto simp: between_mem_segment closed_segment_eq_real_ivl)
-
-
-subsection \<open>Shrinking towards the interior of a convex set\<close>
-
-lemma mem_interior_convex_shrink:
-  fixes s :: "'a::euclidean_space set"
-  assumes "convex s"
-    and "c \<in> interior s"
-    and "x \<in> s"
-    and "0 < e"
-    and "e \<le> 1"
-  shows "x - e *\<^sub>R (x - c) \<in> interior s"
-proof -
-  obtain d where "d > 0" and d: "ball c d \<subseteq> s"
-    using assms(2) unfolding mem_interior by auto
-  show ?thesis
-    unfolding mem_interior
-    apply (rule_tac x="e*d" in exI)
-    apply rule
-    defer
-    unfolding subset_eq Ball_def mem_ball
-  proof (rule, rule)
-    fix y
-    assume as: "dist (x - e *\<^sub>R (x - c)) y < e * d"
-    have *: "y = (1 - (1 - e)) *\<^sub>R ((1 / e) *\<^sub>R y - ((1 - e) / e) *\<^sub>R x) + (1 - e) *\<^sub>R x"
-      using \<open>e > 0\<close> by (auto simp add: scaleR_left_diff_distrib scaleR_right_diff_distrib)
-    have "dist c ((1 / e) *\<^sub>R y - ((1 - e) / e) *\<^sub>R x) = \<bar>1/e\<bar> * norm (e *\<^sub>R c - y + (1 - e) *\<^sub>R x)"
-      unfolding dist_norm
-      unfolding norm_scaleR[symmetric]
-      apply (rule arg_cong[where f=norm])
-      using \<open>e > 0\<close>
-      by (auto simp add: euclidean_eq_iff[where 'a='a] field_simps inner_simps)
-    also have "\<dots> = \<bar>1/e\<bar> * norm (x - e *\<^sub>R (x - c) - y)"
-      by (auto intro!:arg_cong[where f=norm] simp add: algebra_simps)
-    also have "\<dots> < d"
-      using as[unfolded dist_norm] and \<open>e > 0\<close>
-      by (auto simp add:pos_divide_less_eq[OF \<open>e > 0\<close>] mult.commute)
-    finally show "y \<in> s"
-      apply (subst *)
-      apply (rule assms(1)[unfolded convex_alt,rule_format])
-      apply (rule d[unfolded subset_eq,rule_format])
-      unfolding mem_ball
-      using assms(3-5)
-      apply auto
-      done
-  qed (insert \<open>e>0\<close> \<open>d>0\<close>, auto)
-qed
-
-lemma mem_interior_closure_convex_shrink:
-  fixes s :: "'a::euclidean_space set"
-  assumes "convex s"
-    and "c \<in> interior s"
-    and "x \<in> closure s"
-    and "0 < e"
-    and "e \<le> 1"
-  shows "x - e *\<^sub>R (x - c) \<in> interior s"
-proof -
-  obtain d where "d > 0" and d: "ball c d \<subseteq> s"
-    using assms(2) unfolding mem_interior by auto
-  have "\<exists>y\<in>s. norm (y - x) * (1 - e) < e * d"
-  proof (cases "x \<in> s")
-    case True
-    then show ?thesis
-      using \<open>e > 0\<close> \<open>d > 0\<close>
-      apply (rule_tac bexI[where x=x])
-      apply (auto)
-      done
-  next
-    case False
-    then have x: "x islimpt s"
-      using assms(3)[unfolded closure_def] by auto
-    show ?thesis
-    proof (cases "e = 1")
-      case True
-      obtain y where "y \<in> s" "y \<noteq> x" "dist y x < 1"
-        using x[unfolded islimpt_approachable,THEN spec[where x=1]] by auto
-      then show ?thesis
-        apply (rule_tac x=y in bexI)
-        unfolding True
-        using \<open>d > 0\<close>
-        apply auto
-        done
-    next
-      case False
-      then have "0 < e * d / (1 - e)" and *: "1 - e > 0"
-        using \<open>e \<le> 1\<close> \<open>e > 0\<close> \<open>d > 0\<close> by auto
-      then obtain y where "y \<in> s" "y \<noteq> x" "dist y x < e * d / (1 - e)"
-        using x[unfolded islimpt_approachable,THEN spec[where x="e*d / (1 - e)"]] by auto
-      then show ?thesis
-        apply (rule_tac x=y in bexI)
-        unfolding dist_norm
-        using pos_less_divide_eq[OF *]
-        apply auto
-        done
-    qed
-  qed
-  then obtain y where "y \<in> s" and y: "norm (y - x) * (1 - e) < e * d"
-    by auto
-  define z where "z = c + ((1 - e) / e) *\<^sub>R (x - y)"
-  have *: "x - e *\<^sub>R (x - c) = y - e *\<^sub>R (y - z)"
-    unfolding z_def using \<open>e > 0\<close>
-    by (auto simp add: scaleR_right_diff_distrib scaleR_right_distrib scaleR_left_diff_distrib)
-  have "z \<in> interior s"
-    apply (rule interior_mono[OF d,unfolded subset_eq,rule_format])
-    unfolding interior_open[OF open_ball] mem_ball z_def dist_norm using y and assms(4,5)
-    apply (auto simp add:field_simps norm_minus_commute)
-    done
-  then show ?thesis
-    unfolding *
-    apply -
-    apply (rule mem_interior_convex_shrink)
-    using assms(1,4-5) \<open>y\<in>s\<close>
-    apply auto
-    done
-qed
-
-lemma in_interior_closure_convex_segment:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" and a: "a \<in> interior S" and b: "b \<in> closure S"
-    shows "open_segment a b \<subseteq> interior S"
-proof (clarsimp simp: in_segment)
-  fix u::real
-  assume u: "0 < u" "u < 1"
-  have "(1 - u) *\<^sub>R a + u *\<^sub>R b = b - (1 - u) *\<^sub>R (b - a)"
-    by (simp add: algebra_simps)
-  also have "... \<in> interior S" using mem_interior_closure_convex_shrink [OF assms] u
-    by simp
-  finally show "(1 - u) *\<^sub>R a + u *\<^sub>R b \<in> interior S" .
-qed
-
-lemma closure_open_Int_superset:
-  assumes "open S" "S \<subseteq> closure T"
-  shows "closure(S \<inter> T) = closure S"
-proof -
-  have "closure S \<subseteq> closure(S \<inter> T)"
-    by (metis assms closed_closure closure_minimal inf.orderE open_Int_closure_subset)
-  then show ?thesis
-    by (simp add: closure_mono dual_order.antisym)
-qed
-
-lemma convex_closure_interior:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" and int: "interior S \<noteq> {}"
-  shows "closure(interior S) = closure S"
-proof -
-  obtain a where a: "a \<in> interior S"
-    using int by auto
-  have "closure S \<subseteq> closure(interior S)"
-  proof
-    fix x
-    assume x: "x \<in> closure S"
-    show "x \<in> closure (interior S)"
-    proof (cases "x=a")
-      case True
-      then show ?thesis
-        using \<open>a \<in> interior S\<close> closure_subset by blast
-    next
-      case False
-      show ?thesis
-      proof (clarsimp simp add: closure_def islimpt_approachable)
-        fix e::real
-        assume xnotS: "x \<notin> interior S" and "0 < e"
-        show "\<exists>x'\<in>interior S. x' \<noteq> x \<and> dist x' x < e"
-        proof (intro bexI conjI)
-          show "x - min (e/2 / norm (x - a)) 1 *\<^sub>R (x - a) \<noteq> x"
-            using False \<open>0 < e\<close> by (auto simp: algebra_simps min_def)
-          show "dist (x - min (e/2 / norm (x - a)) 1 *\<^sub>R (x - a)) x < e"
-            using \<open>0 < e\<close> by (auto simp: dist_norm min_def)
-          show "x - min (e/2 / norm (x - a)) 1 *\<^sub>R (x - a) \<in> interior S"
-            apply (clarsimp simp add: min_def a)
-            apply (rule mem_interior_closure_convex_shrink [OF \<open>convex S\<close> a x])
-            using \<open>0 < e\<close> False apply (auto simp: divide_simps)
-            done
-        qed
-      qed
-    qed
-  qed
-  then show ?thesis
-    by (simp add: closure_mono interior_subset subset_antisym)
-qed
-
-lemma closure_convex_Int_superset:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "interior S \<noteq> {}" "interior S \<subseteq> closure T"
-  shows "closure(S \<inter> T) = closure S"
-proof -
-  have "closure S \<subseteq> closure(interior S)"
-    by (simp add: convex_closure_interior assms)
-  also have "... \<subseteq> closure (S \<inter> T)"
-    using interior_subset [of S] assms
-    by (metis (no_types, lifting) Int_assoc Int_lower2 closure_mono closure_open_Int_superset inf.orderE open_interior)
-  finally show ?thesis
-    by (simp add: closure_mono dual_order.antisym)
-qed
-
-
-subsection \<open>Some obvious but surprisingly hard simplex lemmas\<close>
-
-lemma simplex:
-  assumes "finite s"
-    and "0 \<notin> s"
-  shows "convex hull (insert 0 s) =
-    {y. (\<exists>u. (\<forall>x\<in>s. 0 \<le> u x) \<and> sum u s \<le> 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y)}"
-  unfolding convex_hull_finite[OF finite.insertI[OF assms(1)]]
-  apply (rule set_eqI, rule)
-  unfolding mem_Collect_eq
-  apply (erule_tac[!] exE)
-  apply (erule_tac[!] conjE)+
-  unfolding sum_clauses(2)[OF \<open>finite s\<close>]
-  apply (rule_tac x=u in exI)
-  defer
-  apply (rule_tac x="\<lambda>x. if x = 0 then 1 - sum u s else u x" in exI)
-  using assms(2)
-  unfolding if_smult and sum_delta_notmem[OF assms(2)]
-  apply auto
-  done
-
-lemma substd_simplex:
-  assumes d: "d \<subseteq> Basis"
-  shows "convex hull (insert 0 d) =
-    {x. (\<forall>i\<in>Basis. 0 \<le> x\<bullet>i) \<and> (\<Sum>i\<in>d. x\<bullet>i) \<le> 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)}"
-  (is "convex hull (insert 0 ?p) = ?s")
-proof -
-  let ?D = d
-  have "0 \<notin> ?p"
-    using assms by (auto simp: image_def)
-  from d have "finite d"
-    by (blast intro: finite_subset finite_Basis)
-  show ?thesis
-    unfolding simplex[OF \<open>finite d\<close> \<open>0 \<notin> ?p\<close>]
-    apply (rule set_eqI)
-    unfolding mem_Collect_eq
-    apply rule
-    apply (elim exE conjE)
-    apply (erule_tac[2] conjE)+
-  proof -
-    fix x :: "'a::euclidean_space"
-    fix u
-    assume as: "\<forall>x\<in>?D. 0 \<le> u x" "sum u ?D \<le> 1" "(\<Sum>x\<in>?D. u x *\<^sub>R x) = x"
-    have *: "\<forall>i\<in>Basis. i:d \<longrightarrow> u i = x\<bullet>i"
-      and "(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)"
-      using as(3)
-      unfolding substdbasis_expansion_unique[OF assms]
-      by auto
-    then have **: "sum u ?D = sum (op \<bullet> x) ?D"
-      apply -
-      apply (rule sum.cong)
-      using assms
-      apply auto
-      done
-    have "(\<forall>i\<in>Basis. 0 \<le> x\<bullet>i) \<and> sum (op \<bullet> x) ?D \<le> 1"
-    proof (rule,rule)
-      fix i :: 'a
-      assume i: "i \<in> Basis"
-      have "i \<in> d \<Longrightarrow> 0 \<le> x\<bullet>i"
-        unfolding *[rule_format,OF i,symmetric]
-         apply (rule_tac as(1)[rule_format])
-         apply auto
-         done
-      moreover have "i \<notin> d \<Longrightarrow> 0 \<le> x\<bullet>i"
-        using \<open>(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)\<close>[rule_format, OF i] by auto
-      ultimately show "0 \<le> x\<bullet>i" by auto
-    qed (insert as(2)[unfolded **], auto)
-    then show "(\<forall>i\<in>Basis. 0 \<le> x\<bullet>i) \<and> sum (op \<bullet> x) ?D \<le> 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)"
-      using \<open>(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)\<close> by auto
-  next
-    fix x :: "'a::euclidean_space"
-    assume as: "\<forall>i\<in>Basis. 0 \<le> x \<bullet> i" "sum (op \<bullet> x) ?D \<le> 1" "(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)"
-    show "\<exists>u. (\<forall>x\<in>?D. 0 \<le> u x) \<and> sum u ?D \<le> 1 \<and> (\<Sum>x\<in>?D. u x *\<^sub>R x) = x"
-      using as d
-      unfolding substdbasis_expansion_unique[OF assms]
-      apply (rule_tac x="inner x" in exI)
-      apply auto
-      done
-  qed
-qed
-
-lemma std_simplex:
-  "convex hull (insert 0 Basis) =
-    {x::'a::euclidean_space. (\<forall>i\<in>Basis. 0 \<le> x\<bullet>i) \<and> sum (\<lambda>i. x\<bullet>i) Basis \<le> 1}"
-  using substd_simplex[of Basis] by auto
-
-lemma interior_std_simplex:
-  "interior (convex hull (insert 0 Basis)) =
-    {x::'a::euclidean_space. (\<forall>i\<in>Basis. 0 < x\<bullet>i) \<and> sum (\<lambda>i. x\<bullet>i) Basis < 1}"
-  apply (rule set_eqI)
-  unfolding mem_interior std_simplex
-  unfolding subset_eq mem_Collect_eq Ball_def mem_ball
-  unfolding Ball_def[symmetric]
-  apply rule
-  apply (elim exE conjE)
-  defer
-  apply (erule conjE)
-proof -
-  fix x :: 'a
-  fix e
-  assume "e > 0" and as: "\<forall>xa. dist x xa < e \<longrightarrow> (\<forall>x\<in>Basis. 0 \<le> xa \<bullet> x) \<and> sum (op \<bullet> xa) Basis \<le> 1"
-  show "(\<forall>xa\<in>Basis. 0 < x \<bullet> xa) \<and> sum (op \<bullet> x) Basis < 1"
-    apply safe
-  proof -
-    fix i :: 'a
-    assume i: "i \<in> Basis"
-    then show "0 < x \<bullet> i"
-      using as[THEN spec[where x="x - (e / 2) *\<^sub>R i"]] and \<open>e > 0\<close>
-      unfolding dist_norm
-      by (auto elim!: ballE[where x=i] simp: inner_simps)
-  next
-    have **: "dist x (x + (e / 2) *\<^sub>R (SOME i. i\<in>Basis)) < e" using \<open>e > 0\<close>
-      unfolding dist_norm
-      by (auto intro!: mult_strict_left_mono simp: SOME_Basis)
-    have "\<And>i. i \<in> Basis \<Longrightarrow> (x + (e / 2) *\<^sub>R (SOME i. i\<in>Basis)) \<bullet> i =
-      x\<bullet>i + (if i = (SOME i. i\<in>Basis) then e/2 else 0)"
-      by (auto simp: SOME_Basis inner_Basis inner_simps)
-    then have *: "sum (op \<bullet> (x + (e / 2) *\<^sub>R (SOME i. i\<in>Basis))) Basis =
-      sum (\<lambda>i. x\<bullet>i + (if (SOME i. i\<in>Basis) = i then e/2 else 0)) Basis"
-      apply (rule_tac sum.cong)
-      apply auto
-      done
-    have "sum (op \<bullet> x) Basis < sum (op \<bullet> (x + (e / 2) *\<^sub>R (SOME i. i\<in>Basis))) Basis"
-      unfolding * sum.distrib
-      using \<open>e > 0\<close> DIM_positive[where 'a='a]
-      apply (subst sum.delta')
-      apply (auto simp: SOME_Basis)
-      done
-    also have "\<dots> \<le> 1"
-      using **
-      apply (drule_tac as[rule_format])
-      apply auto
-      done
-    finally show "sum (op \<bullet> x) Basis < 1" by auto
-  qed
-next
-  fix x :: 'a
-  assume as: "\<forall>i\<in>Basis. 0 < x \<bullet> i" "sum (op \<bullet> x) Basis < 1"
-  obtain a :: 'b where "a \<in> UNIV" using UNIV_witness ..
-  let ?d = "(1 - sum (op \<bullet> x) Basis) / real (DIM('a))"
-  show "\<exists>e>0. \<forall>y. dist x y < e \<longrightarrow> (\<forall>i\<in>Basis. 0 \<le> y \<bullet> i) \<and> sum (op \<bullet> y) Basis \<le> 1"
-  proof (rule_tac x="min (Min ((op \<bullet> x) ` Basis)) D" for D in exI, intro conjI impI allI)
-    fix y
-    assume y: "dist x y < min (Min (op \<bullet> x ` Basis)) ?d"
-    have "sum (op \<bullet> y) Basis \<le> sum (\<lambda>i. x\<bullet>i + ?d) Basis"
-    proof (rule sum_mono)
-      fix i :: 'a
-      assume i: "i \<in> Basis"
-      then have "\<bar>y\<bullet>i - x\<bullet>i\<bar> < ?d"
-        apply -
-        apply (rule le_less_trans)
-        using Basis_le_norm[OF i, of "y - x"]
-        using y[unfolded min_less_iff_conj dist_norm, THEN conjunct2]
-        apply (auto simp add: norm_minus_commute inner_diff_left)
-        done
-      then show "y \<bullet> i \<le> x \<bullet> i + ?d" by auto
-    qed
-    also have "\<dots> \<le> 1"
-      unfolding sum.distrib sum_constant
-      by (auto simp add: Suc_le_eq)
-    finally show "sum (op \<bullet> y) Basis \<le> 1" .
-    show "(\<forall>i\<in>Basis. 0 \<le> y \<bullet> i)"
-    proof safe
-      fix i :: 'a
-      assume i: "i \<in> Basis"
-      have "norm (x - y) < x\<bullet>i"
-        apply (rule less_le_trans)
-        apply (rule y[unfolded min_less_iff_conj dist_norm, THEN conjunct1])
-        using i
-        apply auto
-        done
-      then show "0 \<le> y\<bullet>i"
-        using Basis_le_norm[OF i, of "x - y"] and as(1)[rule_format, OF i]
-        by (auto simp: inner_simps)
-    qed
-  next
-    have "Min ((op \<bullet> x) ` Basis) > 0"
-      using as by simp
-    moreover have "?d > 0"
-      using as by (auto simp: Suc_le_eq)
-    ultimately show "0 < min (Min (op \<bullet> x ` Basis)) ((1 - sum (op \<bullet> x) Basis) / real DIM('a))"
-      by linarith
-  qed 
-qed
-
-lemma interior_std_simplex_nonempty:
-  obtains a :: "'a::euclidean_space" where
-    "a \<in> interior(convex hull (insert 0 Basis))"
-proof -
-  let ?D = "Basis :: 'a set"
-  let ?a = "sum (\<lambda>b::'a. inverse (2 * real DIM('a)) *\<^sub>R b) Basis"
-  {
-    fix i :: 'a
-    assume i: "i \<in> Basis"
-    have "?a \<bullet> i = inverse (2 * real DIM('a))"
-      by (rule trans[of _ "sum (\<lambda>j. if i = j then inverse (2 * real DIM('a)) else 0) ?D"])
-         (simp_all add: sum.If_cases i) }
-  note ** = this
-  show ?thesis
-    apply (rule that[of ?a])
-    unfolding interior_std_simplex mem_Collect_eq
-  proof safe
-    fix i :: 'a
-    assume i: "i \<in> Basis"
-    show "0 < ?a \<bullet> i"
-      unfolding **[OF i] by (auto simp add: Suc_le_eq DIM_positive)
-  next
-    have "sum (op \<bullet> ?a) ?D = sum (\<lambda>i. inverse (2 * real DIM('a))) ?D"
-      apply (rule sum.cong)
-      apply rule
-      apply auto
-      done
-    also have "\<dots> < 1"
-      unfolding sum_constant divide_inverse[symmetric]
-      by (auto simp add: field_simps)
-    finally show "sum (op \<bullet> ?a) ?D < 1" by auto
-  qed
-qed
-
-lemma rel_interior_substd_simplex:
-  assumes d: "d \<subseteq> Basis"
-  shows "rel_interior (convex hull (insert 0 d)) =
-    {x::'a::euclidean_space. (\<forall>i\<in>d. 0 < x\<bullet>i) \<and> (\<Sum>i\<in>d. x\<bullet>i) < 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)}"
-  (is "rel_interior (convex hull (insert 0 ?p)) = ?s")
-proof -
-  have "finite d"
-    apply (rule finite_subset)
-    using assms
-    apply auto
-    done
-  show ?thesis
-  proof (cases "d = {}")
-    case True
-    then show ?thesis
-      using rel_interior_sing using euclidean_eq_iff[of _ 0] by auto
-  next
-    case False
-    have h0: "affine hull (convex hull (insert 0 ?p)) =
-      {x::'a::euclidean_space. (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)}"
-      using affine_hull_convex_hull affine_hull_substd_basis assms by auto
-    have aux: "\<And>x::'a. \<forall>i\<in>Basis. (\<forall>i\<in>d. 0 \<le> x\<bullet>i) \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0) \<longrightarrow> 0 \<le> x\<bullet>i"
-      by auto
-    {
-      fix x :: "'a::euclidean_space"
-      assume x: "x \<in> rel_interior (convex hull (insert 0 ?p))"
-      then obtain e where e0: "e > 0" and
-        "ball x e \<inter> {xa. (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> xa\<bullet>i = 0)} \<subseteq> convex hull (insert 0 ?p)"
-        using mem_rel_interior_ball[of x "convex hull (insert 0 ?p)"] h0 by auto
-      then have as: "\<forall>xa. dist x xa < e \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> xa\<bullet>i = 0) \<longrightarrow>
-        (\<forall>i\<in>d. 0 \<le> xa \<bullet> i) \<and> sum (op \<bullet> xa) d \<le> 1"
-        unfolding ball_def unfolding substd_simplex[OF assms] using assms by auto
-      have x0: "(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)"
-        using x rel_interior_subset  substd_simplex[OF assms] by auto
-      have "(\<forall>i\<in>d. 0 < x \<bullet> i) \<and> sum (op \<bullet> x) d < 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)"
-        apply rule
-        apply rule
-      proof -
-        fix i :: 'a
-        assume "i \<in> d"
-        then have "\<forall>ia\<in>d. 0 \<le> (x - (e / 2) *\<^sub>R i) \<bullet> ia"
-          apply -
-          apply (rule as[rule_format,THEN conjunct1])
-          unfolding dist_norm
-          using d \<open>e > 0\<close> x0
-          apply (auto simp: inner_simps inner_Basis)
-          done
-        then show "0 < x \<bullet> i"
-          apply (erule_tac x=i in ballE)
-          using \<open>e > 0\<close> \<open>i \<in> d\<close> d
-          apply (auto simp: inner_simps inner_Basis)
-          done
-      next
-        obtain a where a: "a \<in> d"
-          using \<open>d \<noteq> {}\<close> by auto
-        then have **: "dist x (x + (e / 2) *\<^sub>R a) < e"
-          using \<open>e > 0\<close> norm_Basis[of a] d
-          unfolding dist_norm
-          by auto
-        have "\<And>i. i \<in> Basis \<Longrightarrow> (x + (e / 2) *\<^sub>R a) \<bullet> i = x\<bullet>i + (if i = a then e/2 else 0)"
-          using a d by (auto simp: inner_simps inner_Basis)
-        then have *: "sum (op \<bullet> (x + (e / 2) *\<^sub>R a)) d =
-          sum (\<lambda>i. x\<bullet>i + (if a = i then e/2 else 0)) d"
-          using d by (intro sum.cong) auto
-        have "a \<in> Basis"
-          using \<open>a \<in> d\<close> d by auto
-        then have h1: "(\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> (x + (e / 2) *\<^sub>R a) \<bullet> i = 0)"
-          using x0 d \<open>a\<in>d\<close> by (auto simp add: inner_add_left inner_Basis)
-        have "sum (op \<bullet> x) d < sum (op \<bullet> (x + (e / 2) *\<^sub>R a)) d"
-          unfolding * sum.distrib
-          using \<open>e > 0\<close> \<open>a \<in> d\<close>
-          using \<open>finite d\<close>
-          by (auto simp add: sum.delta')
-        also have "\<dots> \<le> 1"
-          using ** h1 as[rule_format, of "x + (e / 2) *\<^sub>R a"]
-          by auto
-        finally show "sum (op \<bullet> x) d < 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x\<bullet>i = 0)"
-          using x0 by auto
-      qed
-    }
-    moreover
-    {
-      fix x :: "'a::euclidean_space"
-      assume as: "x \<in> ?s"
-      have "\<forall>i. 0 < x\<bullet>i \<or> 0 = x\<bullet>i \<longrightarrow> 0 \<le> x\<bullet>i"
-        by auto
-      moreover have "\<forall>i. i \<in> d \<or> i \<notin> d" by auto
-      ultimately
-      have "\<forall>i. (\<forall>i\<in>d. 0 < x\<bullet>i) \<and> (\<forall>i. i \<notin> d \<longrightarrow> x\<bullet>i = 0) \<longrightarrow> 0 \<le> x\<bullet>i"
-        by metis
-      then have h2: "x \<in> convex hull (insert 0 ?p)"
-        using as assms
-        unfolding substd_simplex[OF assms] by fastforce
-      obtain a where a: "a \<in> d"
-        using \<open>d \<noteq> {}\<close> by auto
-      let ?d = "(1 - sum (op \<bullet> x) d) / real (card d)"
-      have "0 < card d" using \<open>d \<noteq> {}\<close> \<open>finite d\<close>
-        by (simp add: card_gt_0_iff)
-      have "Min ((op \<bullet> x) ` d) > 0"
-        using as \<open>d \<noteq> {}\<close> \<open>finite d\<close> by (simp add: Min_gr_iff)
-      moreover have "?d > 0" using as using \<open>0 < card d\<close> by auto
-      ultimately have h3: "min (Min ((op \<bullet> x) ` d)) ?d > 0"
-        by auto
-
-      have "x \<in> rel_interior (convex hull (insert 0 ?p))"
-        unfolding rel_interior_ball mem_Collect_eq h0
-        apply (rule,rule h2)
-        unfolding substd_simplex[OF assms]
-        apply (rule_tac x="min (Min ((op \<bullet> x) ` d)) ?d" in exI)
-        apply (rule, rule h3)
-        apply safe
-        unfolding mem_ball
-      proof -
-        fix y :: 'a
-        assume y: "dist x y < min (Min (op \<bullet> x ` d)) ?d"
-        assume y2: "\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> y\<bullet>i = 0"
-        have "sum (op \<bullet> y) d \<le> sum (\<lambda>i. x\<bullet>i + ?d) d"
-        proof (rule sum_mono)
-          fix i
-          assume "i \<in> d"
-          with d have i: "i \<in> Basis"
-            by auto
-          have "\<bar>y\<bullet>i - x\<bullet>i\<bar> < ?d"
-            apply (rule le_less_trans)
-            using Basis_le_norm[OF i, of "y - x"]
-            using y[unfolded min_less_iff_conj dist_norm, THEN conjunct2]
-            apply (auto simp add: norm_minus_commute inner_simps)
-            done
-          then show "y \<bullet> i \<le> x \<bullet> i + ?d" by auto
-        qed
-        also have "\<dots> \<le> 1"
-          unfolding sum.distrib sum_constant  using \<open>0 < card d\<close>
-          by auto
-        finally show "sum (op \<bullet> y) d \<le> 1" .
-
-        fix i :: 'a
-        assume i: "i \<in> Basis"
-        then show "0 \<le> y\<bullet>i"
-        proof (cases "i\<in>d")
-          case True
-          have "norm (x - y) < x\<bullet>i"
-            using y[unfolded min_less_iff_conj dist_norm, THEN conjunct1]
-            using Min_gr_iff[of "op \<bullet> x ` d" "norm (x - y)"] \<open>0 < card d\<close> \<open>i:d\<close>
-            by (simp add: card_gt_0_iff)
-          then show "0 \<le> y\<bullet>i"
-            using Basis_le_norm[OF i, of "x - y"] and as(1)[rule_format]
-            by (auto simp: inner_simps)
-        qed (insert y2, auto)
-      qed
-    }
-    ultimately have
-      "\<And>x. x \<in> rel_interior (convex hull insert 0 d) \<longleftrightarrow>
-        x \<in> {x. (\<forall>i\<in>d. 0 < x \<bullet> i) \<and> sum (op \<bullet> x) d < 1 \<and> (\<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = 0)}"
-      by blast
-    then show ?thesis by (rule set_eqI)
-  qed
-qed
-
-lemma rel_interior_substd_simplex_nonempty:
-  assumes "d \<noteq> {}"
-    and "d \<subseteq> Basis"
-  obtains a :: "'a::euclidean_space"
-    where "a \<in> rel_interior (convex hull (insert 0 d))"
-proof -
-  let ?D = d
-  let ?a = "sum (\<lambda>b::'a::euclidean_space. inverse (2 * real (card d)) *\<^sub>R b) ?D"
-  have "finite d"
-    apply (rule finite_subset)
-    using assms(2)
-    apply auto
-    done
-  then have d1: "0 < real (card d)"
-    using \<open>d \<noteq> {}\<close> by auto
-  {
-    fix i
-    assume "i \<in> d"
-    have "?a \<bullet> i = inverse (2 * real (card d))"
-      apply (rule trans[of _ "sum (\<lambda>j. if i = j then inverse (2 * real (card d)) else 0) ?D"])
-      unfolding inner_sum_left
-      apply (rule sum.cong)
-      using \<open>i \<in> d\<close> \<open>finite d\<close> sum.delta'[of d i "(\<lambda>k. inverse (2 * real (card d)))"]
-        d1 assms(2)
-      by (auto simp: inner_Basis set_rev_mp[OF _ assms(2)])
-  }
-  note ** = this
-  show ?thesis
-    apply (rule that[of ?a])
-    unfolding rel_interior_substd_simplex[OF assms(2)] mem_Collect_eq
-  proof safe
-    fix i
-    assume "i \<in> d"
-    have "0 < inverse (2 * real (card d))"
-      using d1 by auto
-    also have "\<dots> = ?a \<bullet> i" using **[of i] \<open>i \<in> d\<close>
-      by auto
-    finally show "0 < ?a \<bullet> i" by auto
-  next
-    have "sum (op \<bullet> ?a) ?D = sum (\<lambda>i. inverse (2 * real (card d))) ?D"
-      by (rule sum.cong) (rule refl, rule **)
-    also have "\<dots> < 1"
-      unfolding sum_constant divide_real_def[symmetric]
-      by (auto simp add: field_simps)
-    finally show "sum (op \<bullet> ?a) ?D < 1" by auto
-  next
-    fix i
-    assume "i \<in> Basis" and "i \<notin> d"
-    have "?a \<in> span d"
-    proof (rule span_sum[of d "(\<lambda>b. b /\<^sub>R (2 * real (card d)))" d])
-      {
-        fix x :: "'a::euclidean_space"
-        assume "x \<in> d"
-        then have "x \<in> span d"
-          using span_superset[of _ "d"] by auto
-        then have "x /\<^sub>R (2 * real (card d)) \<in> span d"
-          using span_mul[of x "d" "(inverse (real (card d)) / 2)"] by auto
-      }
-      then show "\<And>x. x\<in>d \<Longrightarrow> x /\<^sub>R (2 * real (card d)) \<in> span d"
-        by auto
-    qed
-    then show "?a \<bullet> i = 0 "
-      using \<open>i \<notin> d\<close> unfolding span_substd_basis[OF assms(2)] using \<open>i \<in> Basis\<close> by auto
-  qed
-qed
-
-
-subsection \<open>Relative interior of convex set\<close>
-
-lemma rel_interior_convex_nonempty_aux:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "0 \<in> S"
-  shows "rel_interior S \<noteq> {}"
-proof (cases "S = {0}")
-  case True
-  then show ?thesis using rel_interior_sing by auto
-next
-  case False
-  obtain B where B: "independent B \<and> B \<le> S \<and> S \<le> span B \<and> card B = dim S"
-    using basis_exists[of S] by auto
-  then have "B \<noteq> {}"
-    using B assms \<open>S \<noteq> {0}\<close> span_empty by auto
-  have "insert 0 B \<le> span B"
-    using subspace_span[of B] subspace_0[of "span B"] span_inc by auto
-  then have "span (insert 0 B) \<le> span B"
-    using span_span[of B] span_mono[of "insert 0 B" "span B"] by blast
-  then have "convex hull insert 0 B \<le> span B"
-    using convex_hull_subset_span[of "insert 0 B"] by auto
-  then have "span (convex hull insert 0 B) \<le> span B"
-    using span_span[of B] span_mono[of "convex hull insert 0 B" "span B"] by blast
-  then have *: "span (convex hull insert 0 B) = span B"
-    using span_mono[of B "convex hull insert 0 B"] hull_subset[of "insert 0 B"] by auto
-  then have "span (convex hull insert 0 B) = span S"
-    using B span_mono[of B S] span_mono[of S "span B"] span_span[of B] by auto
-  moreover have "0 \<in> affine hull (convex hull insert 0 B)"
-    using hull_subset[of "convex hull insert 0 B"] hull_subset[of "insert 0 B"] by auto
-  ultimately have **: "affine hull (convex hull insert 0 B) = affine hull S"
-    using affine_hull_span_0[of "convex hull insert 0 B"] affine_hull_span_0[of "S"]
-      assms hull_subset[of S]
-    by auto
-  obtain d and f :: "'n \<Rightarrow> 'n" where
-    fd: "card d = card B" "linear f" "f ` B = d"
-      "f ` span B = {x. \<forall>i\<in>Basis. i \<notin> d \<longrightarrow> x \<bullet> i = (0::real)} \<and> inj_on f (span B)"
-    and d: "d \<subseteq> Basis"
-    using basis_to_substdbasis_subspace_isomorphism[of B,OF _ ] B by auto
-  then have "bounded_linear f"
-    using linear_conv_bounded_linear by auto
-  have "d \<noteq> {}"
-    using fd B \<open>B \<noteq> {}\<close> by auto
-  have "insert 0 d = f ` (insert 0 B)"
-    using fd linear_0 by auto
-  then have "(convex hull (insert 0 d)) = f ` (convex hull (insert 0 B))"
-    using convex_hull_linear_image[of f "(insert 0 d)"]
-      convex_hull_linear_image[of f "(insert 0 B)"] \<open>linear f\<close>
-    by auto
-  moreover have "rel_interior (f ` (convex hull insert 0 B)) =
-    f ` rel_interior (convex hull insert 0 B)"
-    apply (rule  rel_interior_injective_on_span_linear_image[of f "(convex hull insert 0 B)"])
-    using \<open>bounded_linear f\<close> fd *
-    apply auto
-    done
-  ultimately have "rel_interior (convex hull insert 0 B) \<noteq> {}"
-    using rel_interior_substd_simplex_nonempty[OF \<open>d \<noteq> {}\<close> d]
-    apply auto
-    apply blast
-    done
-  moreover have "convex hull (insert 0 B) \<subseteq> S"
-    using B assms hull_mono[of "insert 0 B" "S" "convex"] convex_hull_eq
-    by auto
-  ultimately show ?thesis
-    using subset_rel_interior[of "convex hull insert 0 B" S] ** by auto
-qed
-
-lemma rel_interior_eq_empty:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "rel_interior S = {} \<longleftrightarrow> S = {}"
-proof -
-  {
-    assume "S \<noteq> {}"
-    then obtain a where "a \<in> S" by auto
-    then have "0 \<in> op + (-a) ` S"
-      using assms exI[of "(\<lambda>x. x \<in> S \<and> - a + x = 0)" a] by auto
-    then have "rel_interior (op + (-a) ` S) \<noteq> {}"
-      using rel_interior_convex_nonempty_aux[of "op + (-a) ` S"]
-        convex_translation[of S "-a"] assms
-      by auto
-    then have "rel_interior S \<noteq> {}"
-      using rel_interior_translation by auto
-  }
-  then show ?thesis
-    using rel_interior_empty by auto
-qed
-
-lemma interior_simplex_nonempty:
-  fixes S :: "'N :: euclidean_space set"
-  assumes "independent S" "finite S" "card S = DIM('N)"
-  obtains a where "a \<in> interior (convex hull (insert 0 S))"
-proof -
-  have "affine hull (insert 0 S) = UNIV"
-    apply (simp add: hull_inc affine_hull_span_0)
-    using assms dim_eq_full indep_card_eq_dim_span by fastforce
-  moreover have "rel_interior (convex hull insert 0 S) \<noteq> {}"
-    using rel_interior_eq_empty [of "convex hull (insert 0 S)"] by auto
-  ultimately have "interior (convex hull insert 0 S) \<noteq> {}"
-    by (simp add: rel_interior_interior)
-  with that show ?thesis
-    by auto
-qed
-
-lemma convex_rel_interior:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "convex (rel_interior S)"
-proof -
-  {
-    fix x y and u :: real
-    assume assm: "x \<in> rel_interior S" "y \<in> rel_interior S" "0 \<le> u" "u \<le> 1"
-    then have "x \<in> S"
-      using rel_interior_subset by auto
-    have "x - u *\<^sub>R (x-y) \<in> rel_interior S"
-    proof (cases "0 = u")
-      case False
-      then have "0 < u" using assm by auto
-      then show ?thesis
-        using assm rel_interior_convex_shrink[of S y x u] assms \<open>x \<in> S\<close> by auto
-    next
-      case True
-      then show ?thesis using assm by auto
-    qed
-    then have "(1 - u) *\<^sub>R x + u *\<^sub>R y \<in> rel_interior S"
-      by (simp add: algebra_simps)
-  }
-  then show ?thesis
-    unfolding convex_alt by auto
-qed
-
-lemma convex_closure_rel_interior:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "closure (rel_interior S) = closure S"
-proof -
-  have h1: "closure (rel_interior S) \<le> closure S"
-    using closure_mono[of "rel_interior S" S] rel_interior_subset[of S] by auto
-  show ?thesis
-  proof (cases "S = {}")
-    case False
-    then obtain a where a: "a \<in> rel_interior S"
-      using rel_interior_eq_empty assms by auto
-    { fix x
-      assume x: "x \<in> closure S"
-      {
-        assume "x = a"
-        then have "x \<in> closure (rel_interior S)"
-          using a unfolding closure_def by auto
-      }
-      moreover
-      {
-        assume "x \<noteq> a"
-         {
-           fix e :: real
-           assume "e > 0"
-           define e1 where "e1 = min 1 (e/norm (x - a))"
-           then have e1: "e1 > 0" "e1 \<le> 1" "e1 * norm (x - a) \<le> e"
-             using \<open>x \<noteq> a\<close> \<open>e > 0\<close> le_divide_eq[of e1 e "norm (x - a)"]
-             by simp_all
-           then have *: "x - e1 *\<^sub>R (x - a) : rel_interior S"
-             using rel_interior_closure_convex_shrink[of S a x e1] assms x a e1_def
-             by auto
-           have "\<exists>y. y \<in> rel_interior S \<and> y \<noteq> x \<and> dist y x \<le> e"
-              apply (rule_tac x="x - e1 *\<^sub>R (x - a)" in exI)
-              using * e1 dist_norm[of "x - e1 *\<^sub>R (x - a)" x] \<open>x \<noteq> a\<close>
-              apply simp
-              done
-        }
-        then have "x islimpt rel_interior S"
-          unfolding islimpt_approachable_le by auto
-        then have "x \<in> closure(rel_interior S)"
-          unfolding closure_def by auto
-      }
-      ultimately have "x \<in> closure(rel_interior S)" by auto
-    }
-    then show ?thesis using h1 by auto
-  next
-    case True
-    then have "rel_interior S = {}"
-      using rel_interior_empty by auto
-    then have "closure (rel_interior S) = {}"
-      using closure_empty by auto
-    with True show ?thesis by auto
-  qed
-qed
-
-lemma rel_interior_same_affine_hull:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "affine hull (rel_interior S) = affine hull S"
-  by (metis assms closure_same_affine_hull convex_closure_rel_interior)
-
-lemma rel_interior_aff_dim:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "aff_dim (rel_interior S) = aff_dim S"
-  by (metis aff_dim_affine_hull2 assms rel_interior_same_affine_hull)
-
-lemma rel_interior_rel_interior:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "rel_interior (rel_interior S) = rel_interior S"
-proof -
-  have "openin (subtopology euclidean (affine hull (rel_interior S))) (rel_interior S)"
-    using openin_rel_interior[of S] rel_interior_same_affine_hull[of S] assms by auto
-  then show ?thesis
-    using rel_interior_def by auto
-qed
-
-lemma rel_interior_rel_open:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "rel_open (rel_interior S)"
-  unfolding rel_open_def using rel_interior_rel_interior assms by auto
-
-lemma convex_rel_interior_closure_aux:
-  fixes x y z :: "'n::euclidean_space"
-  assumes "0 < a" "0 < b" "(a + b) *\<^sub>R z = a *\<^sub>R x + b *\<^sub>R y"
-  obtains e where "0 < e" "e \<le> 1" "z = y - e *\<^sub>R (y - x)"
-proof -
-  define e where "e = a / (a + b)"
-  have "z = (1 / (a + b)) *\<^sub>R ((a + b) *\<^sub>R z)"
-    apply auto
-    using assms
-    apply simp
-    done
-  also have "\<dots> = (1 / (a + b)) *\<^sub>R (a *\<^sub>R x + b *\<^sub>R y)"
-    using assms scaleR_cancel_left[of "1/(a+b)" "(a + b) *\<^sub>R z" "a *\<^sub>R x + b *\<^sub>R y"]
-    by auto
-  also have "\<dots> = y - e *\<^sub>R (y-x)"
-    using e_def
-    apply (simp add: algebra_simps)
-    using scaleR_left_distrib[of "a/(a+b)" "b/(a+b)" y] assms add_divide_distrib[of a b "a+b"]
-    apply auto
-    done
-  finally have "z = y - e *\<^sub>R (y-x)"
-    by auto
-  moreover have "e > 0" using e_def assms by auto
-  moreover have "e \<le> 1" using e_def assms by auto
-  ultimately show ?thesis using that[of e] by auto
-qed
-
-lemma convex_rel_interior_closure:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "rel_interior (closure S) = rel_interior S"
-proof (cases "S = {}")
-  case True
-  then show ?thesis
-    using assms rel_interior_eq_empty by auto
-next
-  case False
-  have "rel_interior (closure S) \<supseteq> rel_interior S"
-    using subset_rel_interior[of S "closure S"] closure_same_affine_hull closure_subset
-    by auto
-  moreover
-  {
-    fix z
-    assume z: "z \<in> rel_interior (closure S)"
-    obtain x where x: "x \<in> rel_interior S"
-      using \<open>S \<noteq> {}\<close> assms rel_interior_eq_empty by auto
-    have "z \<in> rel_interior S"
-    proof (cases "x = z")
-      case True
-      then show ?thesis using x by auto
-    next
-      case False
-      obtain e where e: "e > 0" "cball z e \<inter> affine hull closure S \<le> closure S"
-        using z rel_interior_cball[of "closure S"] by auto
-      hence *: "0 < e/norm(z-x)" using e False by auto
-      define y where "y = z + (e/norm(z-x)) *\<^sub>R (z-x)"
-      have yball: "y \<in> cball z e"
-        using mem_cball y_def dist_norm[of z y] e by auto
-      have "x \<in> affine hull closure S"
-        using x rel_interior_subset_closure hull_inc[of x "closure S"] by blast
-      moreover have "z \<in> affine hull closure S"
-        using z rel_interior_subset hull_subset[of "closure S"] by blast
-      ultimately have "y \<in> affine hull closure S"
-        using y_def affine_affine_hull[of "closure S"]
-          mem_affine_3_minus [of "affine hull closure S" z z x "e/norm(z-x)"] by auto
-      then have "y \<in> closure S" using e yball by auto
-      have "(1 + (e/norm(z-x))) *\<^sub>R z = (e/norm(z-x)) *\<^sub>R x + y"
-        using y_def by (simp add: algebra_simps)
-      then obtain e1 where "0 < e1" "e1 \<le> 1" "z = y - e1 *\<^sub>R (y - x)"
-        using * convex_rel_interior_closure_aux[of "e / norm (z - x)" 1 z x y]
-        by (auto simp add: algebra_simps)
-      then show ?thesis
-        using rel_interior_closure_convex_shrink assms x \<open>y \<in> closure S\<close>
-        by auto
-    qed
-  }
-  ultimately show ?thesis by auto
-qed
-
-lemma convex_interior_closure:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "interior (closure S) = interior S"
-  using closure_aff_dim[of S] interior_rel_interior_gen[of S]
-    interior_rel_interior_gen[of "closure S"]
-    convex_rel_interior_closure[of S] assms
-  by auto
-
-lemma closure_eq_rel_interior_eq:
-  fixes S1 S2 :: "'n::euclidean_space set"
-  assumes "convex S1"
-    and "convex S2"
-  shows "closure S1 = closure S2 \<longleftrightarrow> rel_interior S1 = rel_interior S2"
-  by (metis convex_rel_interior_closure convex_closure_rel_interior assms)
-
-lemma closure_eq_between:
-  fixes S1 S2 :: "'n::euclidean_space set"
-  assumes "convex S1"
-    and "convex S2"
-  shows "closure S1 = closure S2 \<longleftrightarrow> rel_interior S1 \<le> S2 \<and> S2 \<subseteq> closure S1"
-  (is "?A \<longleftrightarrow> ?B")
-proof
-  assume ?A
-  then show ?B
-    by (metis assms closure_subset convex_rel_interior_closure rel_interior_subset)
-next
-  assume ?B
-  then have "closure S1 \<subseteq> closure S2"
-    by (metis assms(1) convex_closure_rel_interior closure_mono)
-  moreover from \<open>?B\<close> have "closure S1 \<supseteq> closure S2"
-    by (metis closed_closure closure_minimal)
-  ultimately show ?A ..
-qed
-
-lemma open_inter_closure_rel_interior:
-  fixes S A :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "open A"
-  shows "A \<inter> closure S = {} \<longleftrightarrow> A \<inter> rel_interior S = {}"
-  by (metis assms convex_closure_rel_interior open_Int_closure_eq_empty)
-
-lemma rel_interior_open_segment:
-  fixes a :: "'a :: euclidean_space"
-  shows "rel_interior(open_segment a b) = open_segment a b"
-proof (cases "a = b")
-  case True then show ?thesis by auto
-next
-  case False then show ?thesis
-    apply (simp add: rel_interior_eq openin_open)
-    apply (rule_tac x="ball (inverse 2 *\<^sub>R (a + b)) (norm(b - a) / 2)" in exI)
-    apply (simp add: open_segment_as_ball)
-    done
-qed
-
-lemma rel_interior_closed_segment:
-  fixes a :: "'a :: euclidean_space"
-  shows "rel_interior(closed_segment a b) =
-         (if a = b then {a} else open_segment a b)"
-proof (cases "a = b")
-  case True then show ?thesis by auto
-next
-  case False then show ?thesis
-    by simp
-       (metis closure_open_segment convex_open_segment convex_rel_interior_closure
-              rel_interior_open_segment)
-qed
-
-lemmas rel_interior_segment = rel_interior_closed_segment rel_interior_open_segment
-
-lemma starlike_convex_tweak_boundary_points:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "S \<noteq> {}" and ST: "rel_interior S \<subseteq> T" and TS: "T \<subseteq> closure S"
-  shows "starlike T"
-proof -
-  have "rel_interior S \<noteq> {}"
-    by (simp add: assms rel_interior_eq_empty)
-  then obtain a where a: "a \<in> rel_interior S"  by blast
-  with ST have "a \<in> T"  by blast
-  have *: "\<And>x. x \<in> T \<Longrightarrow> open_segment a x \<subseteq> rel_interior S"
-    apply (rule rel_interior_closure_convex_segment [OF \<open>convex S\<close> a])
-    using assms by blast
-  show ?thesis
-    unfolding starlike_def
-    apply (rule bexI [OF _ \<open>a \<in> T\<close>])
-    apply (simp add: closed_segment_eq_open)
-    apply (intro conjI ballI a \<open>a \<in> T\<close> rel_interior_closure_convex_segment [OF \<open>convex S\<close> a])
-    apply (simp add: order_trans [OF * ST])
-    done
-qed
-
-subsection\<open>The relative frontier of a set\<close>
-
-definition "rel_frontier S = closure S - rel_interior S"
-
-lemma rel_frontier_empty [simp]: "rel_frontier {} = {}"
-  by (simp add: rel_frontier_def)
-
-lemma rel_frontier_eq_empty:
-    fixes S :: "'n::euclidean_space set"
-    shows "rel_frontier S = {} \<longleftrightarrow> affine S"
-  apply (simp add: rel_frontier_def)
-  apply (simp add: rel_interior_eq_closure [symmetric])
-  using rel_interior_subset_closure by blast
-
-lemma rel_frontier_sing [simp]:
-    fixes a :: "'n::euclidean_space"
-    shows "rel_frontier {a} = {}"
-  by (simp add: rel_frontier_def)
-
-lemma rel_frontier_affine_hull:
-  fixes S :: "'a::euclidean_space set"
-  shows "rel_frontier S \<subseteq> affine hull S"
-using closure_affine_hull rel_frontier_def by fastforce
-
-lemma rel_frontier_cball [simp]:
-    fixes a :: "'n::euclidean_space"
-    shows "rel_frontier(cball a r) = (if r = 0 then {} else sphere a r)"
-proof (cases rule: linorder_cases [of r 0])
-  case less then show ?thesis
-    by (force simp: sphere_def)
-next
-  case equal then show ?thesis by simp
-next
-  case greater then show ?thesis
-    apply simp
-    by (metis centre_in_ball empty_iff frontier_cball frontier_def interior_cball interior_rel_interior_gen rel_frontier_def)
-qed
-
-lemma rel_frontier_translation:
-  fixes a :: "'a::euclidean_space"
-  shows "rel_frontier((\<lambda>x. a + x) ` S) = (\<lambda>x. a + x) ` (rel_frontier S)"
-by (simp add: rel_frontier_def translation_diff rel_interior_translation closure_translation)
-
-lemma closed_affine_hull [iff]:
-  fixes S :: "'n::euclidean_space set"
-  shows "closed (affine hull S)"
-  by (metis affine_affine_hull affine_closed)
-
-lemma rel_frontier_nonempty_interior:
-  fixes S :: "'n::euclidean_space set"
-  shows "interior S \<noteq> {} \<Longrightarrow> rel_frontier S = frontier S"
-by (metis frontier_def interior_rel_interior_gen rel_frontier_def)
-
-lemma rel_frontier_frontier:
-  fixes S :: "'n::euclidean_space set"
-  shows "affine hull S = UNIV \<Longrightarrow> rel_frontier S = frontier S"
-by (simp add: frontier_def rel_frontier_def rel_interior_interior)
-
-lemma closest_point_in_rel_frontier:
-   "\<lbrakk>closed S; S \<noteq> {}; x \<in> affine hull S - rel_interior S\<rbrakk>
-   \<Longrightarrow> closest_point S x \<in> rel_frontier S"
-  by (simp add: closest_point_in_rel_interior closest_point_in_set rel_frontier_def)
-
-lemma closed_rel_frontier [iff]:
-  fixes S :: "'n::euclidean_space set"
-  shows "closed (rel_frontier S)"
-proof -
-  have *: "closedin (subtopology euclidean (affine hull S)) (closure S - rel_interior S)"
-    by (simp add: closed_subset closedin_diff closure_affine_hull openin_rel_interior)
-  show ?thesis
-    apply (rule closedin_closed_trans[of "affine hull S" "rel_frontier S"])
-    unfolding rel_frontier_def
-    using * closed_affine_hull
-    apply auto
-    done
-qed
-
-lemma closed_rel_boundary:
-  fixes S :: "'n::euclidean_space set"
-  shows "closed S \<Longrightarrow> closed(S - rel_interior S)"
-by (metis closed_rel_frontier closure_closed rel_frontier_def)
-
-lemma compact_rel_boundary:
-  fixes S :: "'n::euclidean_space set"
-  shows "compact S \<Longrightarrow> compact(S - rel_interior S)"
-by (metis bounded_diff closed_rel_boundary closure_eq compact_closure compact_imp_closed)
-
-lemma bounded_rel_frontier:
-  fixes S :: "'n::euclidean_space set"
-  shows "bounded S \<Longrightarrow> bounded(rel_frontier S)"
-by (simp add: bounded_closure bounded_diff rel_frontier_def)
-
-lemma compact_rel_frontier_bounded:
-  fixes S :: "'n::euclidean_space set"
-  shows "bounded S \<Longrightarrow> compact(rel_frontier S)"
-using bounded_rel_frontier closed_rel_frontier compact_eq_bounded_closed by blast
-
-lemma compact_rel_frontier:
-  fixes S :: "'n::euclidean_space set"
-  shows "compact S \<Longrightarrow> compact(rel_frontier S)"
-by (meson compact_eq_bounded_closed compact_rel_frontier_bounded)
-
-lemma convex_same_rel_interior_closure:
-  fixes S :: "'n::euclidean_space set"
-  shows "\<lbrakk>convex S; convex T\<rbrakk>
-         \<Longrightarrow> rel_interior S = rel_interior T \<longleftrightarrow> closure S = closure T"
-by (simp add: closure_eq_rel_interior_eq)
-
-lemma convex_same_rel_interior_closure_straddle:
-  fixes S :: "'n::euclidean_space set"
-  shows "\<lbrakk>convex S; convex T\<rbrakk>
-         \<Longrightarrow> rel_interior S = rel_interior T \<longleftrightarrow>
-             rel_interior S \<subseteq> T \<and> T \<subseteq> closure S"
-by (simp add: closure_eq_between convex_same_rel_interior_closure)
-
-lemma convex_rel_frontier_aff_dim:
-  fixes S1 S2 :: "'n::euclidean_space set"
-  assumes "convex S1"
-    and "convex S2"
-    and "S2 \<noteq> {}"
-    and "S1 \<le> rel_frontier S2"
-  shows "aff_dim S1 < aff_dim S2"
-proof -
-  have "S1 \<subseteq> closure S2"
-    using assms unfolding rel_frontier_def by auto
-  then have *: "affine hull S1 \<subseteq> affine hull S2"
-    using hull_mono[of "S1" "closure S2"] closure_same_affine_hull[of S2] by blast
-  then have "aff_dim S1 \<le> aff_dim S2"
-    using * aff_dim_affine_hull[of S1] aff_dim_affine_hull[of S2]
-      aff_dim_subset[of "affine hull S1" "affine hull S2"]
-    by auto
-  moreover
-  {
-    assume eq: "aff_dim S1 = aff_dim S2"
-    then have "S1 \<noteq> {}"
-      using aff_dim_empty[of S1] aff_dim_empty[of S2] \<open>S2 \<noteq> {}\<close> by auto
-    have **: "affine hull S1 = affine hull S2"
-       apply (rule affine_dim_equal)
-       using * affine_affine_hull
-       apply auto
-       using \<open>S1 \<noteq> {}\<close> hull_subset[of S1]
-       apply auto
-       using eq aff_dim_affine_hull[of S1] aff_dim_affine_hull[of S2]
-       apply auto
-       done
-    obtain a where a: "a \<in> rel_interior S1"
-      using \<open>S1 \<noteq> {}\<close> rel_interior_eq_empty assms by auto
-    obtain T where T: "open T" "a \<in> T \<inter> S1" "T \<inter> affine hull S1 \<subseteq> S1"
-       using mem_rel_interior[of a S1] a by auto
-    then have "a \<in> T \<inter> closure S2"
-      using a assms unfolding rel_frontier_def by auto
-    then obtain b where b: "b \<in> T \<inter> rel_interior S2"
-      using open_inter_closure_rel_interior[of S2 T] assms T by auto
-    then have "b \<in> affine hull S1"
-      using rel_interior_subset hull_subset[of S2] ** by auto
-    then have "b \<in> S1"
-      using T b by auto
-    then have False
-      using b assms unfolding rel_frontier_def by auto
-  }
-  ultimately show ?thesis
-    using less_le by auto
-qed
-
-lemma convex_rel_interior_if:
-  fixes S ::  "'n::euclidean_space set"
-  assumes "convex S"
-    and "z \<in> rel_interior S"
-  shows "\<forall>x\<in>affine hull S. \<exists>m. m > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> m \<longrightarrow> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S)"
-proof -
-  obtain e1 where e1: "e1 > 0 \<and> cball z e1 \<inter> affine hull S \<subseteq> S"
-    using mem_rel_interior_cball[of z S] assms by auto
-  {
-    fix x
-    assume x: "x \<in> affine hull S"
-    {
-      assume "x \<noteq> z"
-      define m where "m = 1 + e1/norm(x-z)"
-      hence "m > 1" using e1 \<open>x \<noteq> z\<close> by auto
-      {
-        fix e
-        assume e: "e > 1 \<and> e \<le> m"
-        have "z \<in> affine hull S"
-          using assms rel_interior_subset hull_subset[of S] by auto
-        then have *: "(1 - e)*\<^sub>R x + e *\<^sub>R z \<in> affine hull S"
-          using mem_affine[of "affine hull S" x z "(1-e)" e] affine_affine_hull[of S] x
-          by auto
-        have "norm (z + e *\<^sub>R x - (x + e *\<^sub>R z)) = norm ((e - 1) *\<^sub>R (x - z))"
-          by (simp add: algebra_simps)
-        also have "\<dots> = (e - 1) * norm (x-z)"
-          using norm_scaleR e by auto
-        also have "\<dots> \<le> (m - 1) * norm (x - z)"
-          using e mult_right_mono[of _ _ "norm(x-z)"] by auto
-        also have "\<dots> = (e1 / norm (x - z)) * norm (x - z)"
-          using m_def by auto
-        also have "\<dots> = e1"
-          using \<open>x \<noteq> z\<close> e1 by simp
-        finally have **: "norm (z + e *\<^sub>R x - (x + e *\<^sub>R z)) \<le> e1"
-          by auto
-        have "(1 - e)*\<^sub>R x+ e *\<^sub>R z \<in> cball z e1"
-          using m_def **
-          unfolding cball_def dist_norm
-          by (auto simp add: algebra_simps)
-        then have "(1 - e) *\<^sub>R x+ e *\<^sub>R z \<in> S"
-          using e * e1 by auto
-      }
-      then have "\<exists>m. m > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> m \<longrightarrow> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S )"
-        using \<open>m> 1 \<close> by auto
-    }
-    moreover
-    {
-      assume "x = z"
-      define m where "m = 1 + e1"
-      then have "m > 1"
-        using e1 by auto
-      {
-        fix e
-        assume e: "e > 1 \<and> e \<le> m"
-        then have "(1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S"
-          using e1 x \<open>x = z\<close> by (auto simp add: algebra_simps)
-        then have "(1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S"
-          using e by auto
-      }
-      then have "\<exists>m. m > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> m \<longrightarrow> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S)"
-        using \<open>m > 1\<close> by auto
-    }
-    ultimately have "\<exists>m. m > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> m \<longrightarrow> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S )"
-      by blast
-  }
-  then show ?thesis by auto
-qed
-
-lemma convex_rel_interior_if2:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  assumes "z \<in> rel_interior S"
-  shows "\<forall>x\<in>affine hull S. \<exists>e. e > 1 \<and> (1 - e)*\<^sub>R x + e *\<^sub>R z \<in> S"
-  using convex_rel_interior_if[of S z] assms by auto
-
-lemma convex_rel_interior_only_if:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "S \<noteq> {}"
-  assumes "\<forall>x\<in>S. \<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S"
-  shows "z \<in> rel_interior S"
-proof -
-  obtain x where x: "x \<in> rel_interior S"
-    using rel_interior_eq_empty assms by auto
-  then have "x \<in> S"
-    using rel_interior_subset by auto
-  then obtain e where e: "e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S"
-    using assms by auto
-  define y where [abs_def]: "y = (1 - e) *\<^sub>R x + e *\<^sub>R z"
-  then have "y \<in> S" using e by auto
-  define e1 where "e1 = 1/e"
-  then have "0 < e1 \<and> e1 < 1" using e by auto
-  then have "z  =y - (1 - e1) *\<^sub>R (y - x)"
-    using e1_def y_def by (auto simp add: algebra_simps)
-  then show ?thesis
-    using rel_interior_convex_shrink[of S x y "1-e1"] \<open>0 < e1 \<and> e1 < 1\<close> \<open>y \<in> S\<close> x assms
-    by auto
-qed
-
-lemma convex_rel_interior_iff:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "S \<noteq> {}"
-  shows "z \<in> rel_interior S \<longleftrightarrow> (\<forall>x\<in>S. \<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S)"
-  using assms hull_subset[of S "affine"]
-    convex_rel_interior_if[of S z] convex_rel_interior_only_if[of S z]
-  by auto
-
-lemma convex_rel_interior_iff2:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "S \<noteq> {}"
-  shows "z \<in> rel_interior S \<longleftrightarrow> (\<forall>x\<in>affine hull S. \<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S)"
-  using assms hull_subset[of S] convex_rel_interior_if2[of S z] convex_rel_interior_only_if[of S z]
-  by auto
-
-lemma convex_interior_iff:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "z \<in> interior S \<longleftrightarrow> (\<forall>x. \<exists>e. e > 0 \<and> z + e *\<^sub>R x \<in> S)"
-proof (cases "aff_dim S = int DIM('n)")
-  case False
-  {
-    assume "z \<in> interior S"
-    then have False
-      using False interior_rel_interior_gen[of S] by auto
-  }
-  moreover
-  {
-    assume r: "\<forall>x. \<exists>e. e > 0 \<and> z + e *\<^sub>R x \<in> S"
-    {
-      fix x
-      obtain e1 where e1: "e1 > 0 \<and> z + e1 *\<^sub>R (x - z) \<in> S"
-        using r by auto
-      obtain e2 where e2: "e2 > 0 \<and> z + e2 *\<^sub>R (z - x) \<in> S"
-        using r by auto
-      define x1 where [abs_def]: "x1 = z + e1 *\<^sub>R (x - z)"
-      then have x1: "x1 \<in> affine hull S"
-        using e1 hull_subset[of S] by auto
-      define x2 where [abs_def]: "x2 = z + e2 *\<^sub>R (z - x)"
-      then have x2: "x2 \<in> affine hull S"
-        using e2 hull_subset[of S] by auto
-      have *: "e1/(e1+e2) + e2/(e1+e2) = 1"
-        using add_divide_distrib[of e1 e2 "e1+e2"] e1 e2 by simp
-      then have "z = (e2/(e1+e2)) *\<^sub>R x1 + (e1/(e1+e2)) *\<^sub>R x2"
-        using x1_def x2_def
-        apply (auto simp add: algebra_simps)
-        using scaleR_left_distrib[of "e1/(e1+e2)" "e2/(e1+e2)" z]
-        apply auto
-        done
-      then have z: "z \<in> affine hull S"
-        using mem_affine[of "affine hull S" x1 x2 "e2/(e1+e2)" "e1/(e1+e2)"]
-          x1 x2 affine_affine_hull[of S] *
-        by auto
-      have "x1 - x2 = (e1 + e2) *\<^sub>R (x - z)"
-        using x1_def x2_def by (auto simp add: algebra_simps)
-      then have "x = z+(1/(e1+e2)) *\<^sub>R (x1-x2)"
-        using e1 e2 by simp
-      then have "x \<in> affine hull S"
-        using mem_affine_3_minus[of "affine hull S" z x1 x2 "1/(e1+e2)"]
-          x1 x2 z affine_affine_hull[of S]
-        by auto
-    }
-    then have "affine hull S = UNIV"
-      by auto
-    then have "aff_dim S = int DIM('n)"
-      using aff_dim_affine_hull[of S] by (simp add: aff_dim_UNIV)
-    then have False
-      using False by auto
-  }
-  ultimately show ?thesis by auto
-next
-  case True
-  then have "S \<noteq> {}"
-    using aff_dim_empty[of S] by auto
-  have *: "affine hull S = UNIV"
-    using True affine_hull_UNIV by auto
-  {
-    assume "z \<in> interior S"
-    then have "z \<in> rel_interior S"
-      using True interior_rel_interior_gen[of S] by auto
-    then have **: "\<forall>x. \<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S"
-      using convex_rel_interior_iff2[of S z] assms \<open>S \<noteq> {}\<close> * by auto
-    fix x
-    obtain e1 where e1: "e1 > 1" "(1 - e1) *\<^sub>R (z - x) + e1 *\<^sub>R z \<in> S"
-      using **[rule_format, of "z-x"] by auto
-    define e where [abs_def]: "e = e1 - 1"
-    then have "(1 - e1) *\<^sub>R (z - x) + e1 *\<^sub>R z = z + e *\<^sub>R x"
-      by (simp add: algebra_simps)
-    then have "e > 0" "z + e *\<^sub>R x \<in> S"
-      using e1 e_def by auto
-    then have "\<exists>e. e > 0 \<and> z + e *\<^sub>R x \<in> S"
-      by auto
-  }
-  moreover
-  {
-    assume r: "\<forall>x. \<exists>e. e > 0 \<and> z + e *\<^sub>R x \<in> S"
-    {
-      fix x
-      obtain e1 where e1: "e1 > 0" "z + e1 *\<^sub>R (z - x) \<in> S"
-        using r[rule_format, of "z-x"] by auto
-      define e where "e = e1 + 1"
-      then have "z + e1 *\<^sub>R (z - x) = (1 - e) *\<^sub>R x + e *\<^sub>R z"
-        by (simp add: algebra_simps)
-      then have "e > 1" "(1 - e)*\<^sub>R x + e *\<^sub>R z \<in> S"
-        using e1 e_def by auto
-      then have "\<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S" by auto
-    }
-    then have "z \<in> rel_interior S"
-      using convex_rel_interior_iff2[of S z] assms \<open>S \<noteq> {}\<close> by auto
-    then have "z \<in> interior S"
-      using True interior_rel_interior_gen[of S] by auto
-  }
-  ultimately show ?thesis by auto
-qed
-
-
-subsubsection \<open>Relative interior and closure under common operations\<close>
-
-lemma rel_interior_inter_aux: "\<Inter>{rel_interior S |S. S : I} \<subseteq> \<Inter>I"
-proof -
-  {
-    fix y
-    assume "y \<in> \<Inter>{rel_interior S |S. S : I}"
-    then have y: "\<forall>S \<in> I. y \<in> rel_interior S"
-      by auto
-    {
-      fix S
-      assume "S \<in> I"
-      then have "y \<in> S"
-        using rel_interior_subset y by auto
-    }
-    then have "y \<in> \<Inter>I" by auto
-  }
-  then show ?thesis by auto
-qed
-
-lemma closure_Int: "closure (\<Inter>I) \<le> \<Inter>{closure S |S. S \<in> I}"
-proof -
-  {
-    fix y
-    assume "y \<in> \<Inter>I"
-    then have y: "\<forall>S \<in> I. y \<in> S" by auto
-    {
-      fix S
-      assume "S \<in> I"
-      then have "y \<in> closure S"
-        using closure_subset y by auto
-    }
-    then have "y \<in> \<Inter>{closure S |S. S \<in> I}"
-      by auto
-  }
-  then have "\<Inter>I \<subseteq> \<Inter>{closure S |S. S \<in> I}"
-    by auto
-  moreover have "closed (\<Inter>{closure S |S. S \<in> I})"
-    unfolding closed_Inter closed_closure by auto
-  ultimately show ?thesis using closure_hull[of "\<Inter>I"]
-    hull_minimal[of "\<Inter>I" "\<Inter>{closure S |S. S \<in> I}" "closed"] by auto
-qed
-
-lemma convex_closure_rel_interior_inter:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set)"
-    and "\<Inter>{rel_interior S |S. S \<in> I} \<noteq> {}"
-  shows "\<Inter>{closure S |S. S \<in> I} \<le> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-proof -
-  obtain x where x: "\<forall>S\<in>I. x \<in> rel_interior S"
-    using assms by auto
-  {
-    fix y
-    assume "y \<in> \<Inter>{closure S |S. S \<in> I}"
-    then have y: "\<forall>S \<in> I. y \<in> closure S"
-      by auto
-    {
-      assume "y = x"
-      then have "y \<in> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-        using x closure_subset[of "\<Inter>{rel_interior S |S. S \<in> I}"] by auto
-    }
-    moreover
-    {
-      assume "y \<noteq> x"
-      { fix e :: real
-        assume e: "e > 0"
-        define e1 where "e1 = min 1 (e/norm (y - x))"
-        then have e1: "e1 > 0" "e1 \<le> 1" "e1 * norm (y - x) \<le> e"
-          using \<open>y \<noteq> x\<close> \<open>e > 0\<close> le_divide_eq[of e1 e "norm (y - x)"]
-          by simp_all
-        define z where "z = y - e1 *\<^sub>R (y - x)"
-        {
-          fix S
-          assume "S \<in> I"
-          then have "z \<in> rel_interior S"
-            using rel_interior_closure_convex_shrink[of S x y e1] assms x y e1 z_def
-            by auto
-        }
-        then have *: "z \<in> \<Inter>{rel_interior S |S. S \<in> I}"
-          by auto
-        have "\<exists>z. z \<in> \<Inter>{rel_interior S |S. S \<in> I} \<and> z \<noteq> y \<and> dist z y \<le> e"
-          apply (rule_tac x="z" in exI)
-          using \<open>y \<noteq> x\<close> z_def * e1 e dist_norm[of z y]
-          apply simp
-          done
-      }
-      then have "y islimpt \<Inter>{rel_interior S |S. S \<in> I}"
-        unfolding islimpt_approachable_le by blast
-      then have "y \<in> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-        unfolding closure_def by auto
-    }
-    ultimately have "y \<in> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-      by auto
-  }
-  then show ?thesis by auto
-qed
-
-lemma convex_closure_inter:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set)"
-    and "\<Inter>{rel_interior S |S. S \<in> I} \<noteq> {}"
-  shows "closure (\<Inter>I) = \<Inter>{closure S |S. S \<in> I}"
-proof -
-  have "\<Inter>{closure S |S. S \<in> I} \<le> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-    using convex_closure_rel_interior_inter assms by auto
-  moreover
-  have "closure (\<Inter>{rel_interior S |S. S \<in> I}) \<le> closure (\<Inter>I)"
-    using rel_interior_inter_aux closure_mono[of "\<Inter>{rel_interior S |S. S \<in> I}" "\<Inter>I"]
-    by auto
-  ultimately show ?thesis
-    using closure_Int[of I] by auto
-qed
-
-lemma convex_inter_rel_interior_same_closure:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set)"
-    and "\<Inter>{rel_interior S |S. S \<in> I} \<noteq> {}"
-  shows "closure (\<Inter>{rel_interior S |S. S \<in> I}) = closure (\<Inter>I)"
-proof -
-  have "\<Inter>{closure S |S. S \<in> I} \<le> closure (\<Inter>{rel_interior S |S. S \<in> I})"
-    using convex_closure_rel_interior_inter assms by auto
-  moreover
-  have "closure (\<Inter>{rel_interior S |S. S \<in> I}) \<le> closure (\<Inter>I)"
-    using rel_interior_inter_aux closure_mono[of "\<Inter>{rel_interior S |S. S \<in> I}" "\<Inter>I"]
-    by auto
-  ultimately show ?thesis
-    using closure_Int[of I] by auto
-qed
-
-lemma convex_rel_interior_inter:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set)"
-    and "\<Inter>{rel_interior S |S. S \<in> I} \<noteq> {}"
-  shows "rel_interior (\<Inter>I) \<subseteq> \<Inter>{rel_interior S |S. S \<in> I}"
-proof -
-  have "convex (\<Inter>I)"
-    using assms convex_Inter by auto
-  moreover
-  have "convex (\<Inter>{rel_interior S |S. S \<in> I})"
-    apply (rule convex_Inter)
-    using assms convex_rel_interior
-    apply auto
-    done
-  ultimately
-  have "rel_interior (\<Inter>{rel_interior S |S. S \<in> I}) = rel_interior (\<Inter>I)"
-    using convex_inter_rel_interior_same_closure assms
-      closure_eq_rel_interior_eq[of "\<Inter>{rel_interior S |S. S \<in> I}" "\<Inter>I"]
-    by blast
-  then show ?thesis
-    using rel_interior_subset[of "\<Inter>{rel_interior S |S. S \<in> I}"] by auto
-qed
-
-lemma convex_rel_interior_finite_inter:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set)"
-    and "\<Inter>{rel_interior S |S. S \<in> I} \<noteq> {}"
-    and "finite I"
-  shows "rel_interior (\<Inter>I) = \<Inter>{rel_interior S |S. S \<in> I}"
-proof -
-  have "\<Inter>I \<noteq> {}"
-    using assms rel_interior_inter_aux[of I] by auto
-  have "convex (\<Inter>I)"
-    using convex_Inter assms by auto
-  show ?thesis
-  proof (cases "I = {}")
-    case True
-    then show ?thesis
-      using Inter_empty rel_interior_UNIV by auto
-  next
-    case False
-    {
-      fix z
-      assume z: "z \<in> \<Inter>{rel_interior S |S. S \<in> I}"
-      {
-        fix x
-        assume x: "x \<in> \<Inter>I"
-        {
-          fix S
-          assume S: "S \<in> I"
-          then have "z \<in> rel_interior S" "x \<in> S"
-            using z x by auto
-          then have "\<exists>m. m > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> m \<longrightarrow> (1 - e)*\<^sub>R x + e *\<^sub>R z \<in> S)"
-            using convex_rel_interior_if[of S z] S assms hull_subset[of S] by auto
-        }
-        then obtain mS where
-          mS: "\<forall>S\<in>I. mS S > 1 \<and> (\<forall>e. e > 1 \<and> e \<le> mS S \<longrightarrow> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> S)" by metis
-        define e where "e = Min (mS ` I)"
-        then have "e \<in> mS ` I" using assms \<open>I \<noteq> {}\<close> by simp
-        then have "e > 1" using mS by auto
-        moreover have "\<forall>S\<in>I. e \<le> mS S"
-          using e_def assms by auto
-        ultimately have "\<exists>e > 1. (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> \<Inter>I"
-          using mS by auto
-      }
-      then have "z \<in> rel_interior (\<Inter>I)"
-        using convex_rel_interior_iff[of "\<Inter>I" z] \<open>\<Inter>I \<noteq> {}\<close> \<open>convex (\<Inter>I)\<close> by auto
-    }
-    then show ?thesis
-      using convex_rel_interior_inter[of I] assms by auto
-  qed
-qed
-
-lemma convex_closure_inter_two:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-  assumes "rel_interior S \<inter> rel_interior T \<noteq> {}"
-  shows "closure (S \<inter> T) = closure S \<inter> closure T"
-  using convex_closure_inter[of "{S,T}"] assms by auto
-
-lemma convex_rel_interior_inter_two:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-    and "rel_interior S \<inter> rel_interior T \<noteq> {}"
-  shows "rel_interior (S \<inter> T) = rel_interior S \<inter> rel_interior T"
-  using convex_rel_interior_finite_inter[of "{S,T}"] assms by auto
-
-lemma convex_affine_closure_Int:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "affine T"
-    and "rel_interior S \<inter> T \<noteq> {}"
-  shows "closure (S \<inter> T) = closure S \<inter> T"
-proof -
-  have "affine hull T = T"
-    using assms by auto
-  then have "rel_interior T = T"
-    using rel_interior_affine_hull[of T] by metis
-  moreover have "closure T = T"
-    using assms affine_closed[of T] by auto
-  ultimately show ?thesis
-    using convex_closure_inter_two[of S T] assms affine_imp_convex by auto
-qed
-
-lemma connected_component_1_gen:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "DIM('a) = 1"
-  shows "connected_component S a b \<longleftrightarrow> closed_segment a b \<subseteq> S"
-unfolding connected_component_def
-by (metis (no_types, lifting) assms subsetD subsetI convex_contains_segment convex_segment(1)
-            ends_in_segment connected_convex_1_gen)
-
-lemma connected_component_1:
-  fixes S :: "real set"
-  shows "connected_component S a b \<longleftrightarrow> closed_segment a b \<subseteq> S"
-by (simp add: connected_component_1_gen)
-
-lemma convex_affine_rel_interior_Int:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "affine T"
-    and "rel_interior S \<inter> T \<noteq> {}"
-  shows "rel_interior (S \<inter> T) = rel_interior S \<inter> T"
-proof -
-  have "affine hull T = T"
-    using assms by auto
-  then have "rel_interior T = T"
-    using rel_interior_affine_hull[of T] by metis
-  moreover have "closure T = T"
-    using assms affine_closed[of T] by auto
-  ultimately show ?thesis
-    using convex_rel_interior_inter_two[of S T] assms affine_imp_convex by auto
-qed
-
-lemma convex_affine_rel_frontier_Int:
-   fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "affine T"
-    and "interior S \<inter> T \<noteq> {}"
-  shows "rel_frontier(S \<inter> T) = frontier S \<inter> T"
-using assms
-apply (simp add: rel_frontier_def convex_affine_closure_Int frontier_def)
-by (metis Diff_Int_distrib2 Int_emptyI convex_affine_closure_Int convex_affine_rel_interior_Int empty_iff interior_rel_interior_gen)
-
-lemma rel_interior_convex_Int_affine:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "affine T" "interior S \<inter> T \<noteq> {}"
-    shows "rel_interior(S \<inter> T) = interior S \<inter> T"
-proof -
-  obtain a where aS: "a \<in> interior S" and aT:"a \<in> T"
-    using assms by force
-  have "rel_interior S = interior S"
-    by (metis (no_types) aS affine_hull_nonempty_interior equals0D rel_interior_interior)
-  then show ?thesis
-    by (metis (no_types) affine_imp_convex assms convex_rel_interior_inter_two hull_same rel_interior_affine_hull)
-qed
-
-lemma closure_convex_Int_affine:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "affine T" "rel_interior S \<inter> T \<noteq> {}"
-  shows "closure(S \<inter> T) = closure S \<inter> T"
-proof
-  have "closure (S \<inter> T) \<subseteq> closure T"
-    by (simp add: closure_mono)
-  also have "... \<subseteq> T"
-    by (simp add: affine_closed assms)
-  finally show "closure(S \<inter> T) \<subseteq> closure S \<inter> T"
-    by (simp add: closure_mono)
-next
-  obtain a where "a \<in> rel_interior S" "a \<in> T"
-    using assms by auto
-  then have ssT: "subspace ((\<lambda>x. (-a)+x) ` T)" and "a \<in> S"
-    using affine_diffs_subspace rel_interior_subset assms by blast+
-  show "closure S \<inter> T \<subseteq> closure (S \<inter> T)"
-  proof
-    fix x  assume "x \<in> closure S \<inter> T"
-    show "x \<in> closure (S \<inter> T)"
-    proof (cases "x = a")
-      case True
-      then show ?thesis
-        using \<open>a \<in> S\<close> \<open>a \<in> T\<close> closure_subset by fastforce
-    next
-      case False
-      then have "x \<in> closure(open_segment a x)"
-        by auto
-      then show ?thesis
-        using \<open>x \<in> closure S \<inter> T\<close> assms convex_affine_closure_Int by blast
-    qed
-  qed
-qed
-
-lemma subset_rel_interior_convex:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-    and "S \<le> closure T"
-    and "\<not> S \<subseteq> rel_frontier T"
-  shows "rel_interior S \<subseteq> rel_interior T"
-proof -
-  have *: "S \<inter> closure T = S"
-    using assms by auto
-  have "\<not> rel_interior S \<subseteq> rel_frontier T"
-    using closure_mono[of "rel_interior S" "rel_frontier T"] closed_rel_frontier[of T]
-      closure_closed[of S] convex_closure_rel_interior[of S] closure_subset[of S] assms
-    by auto
-  then have "rel_interior S \<inter> rel_interior (closure T) \<noteq> {}"
-    using assms rel_frontier_def[of T] rel_interior_subset convex_rel_interior_closure[of T]
-    by auto
-  then have "rel_interior S \<inter> rel_interior T = rel_interior (S \<inter> closure T)"
-    using assms convex_closure convex_rel_interior_inter_two[of S "closure T"]
-      convex_rel_interior_closure[of T]
-    by auto
-  also have "\<dots> = rel_interior S"
-    using * by auto
-  finally show ?thesis
-    by auto
-qed
-
-lemma rel_interior_convex_linear_image:
-  fixes f :: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space"
-  assumes "linear f"
-    and "convex S"
-  shows "f ` (rel_interior S) = rel_interior (f ` S)"
-proof (cases "S = {}")
-  case True
-  then show ?thesis
-    using assms rel_interior_empty rel_interior_eq_empty by auto
-next
-  case False
-  have *: "f ` (rel_interior S) \<subseteq> f ` S"
-    unfolding image_mono using rel_interior_subset by auto
-  have "f ` S \<subseteq> f ` (closure S)"
-    unfolding image_mono using closure_subset by auto
-  also have "\<dots> = f ` (closure (rel_interior S))"
-    using convex_closure_rel_interior assms by auto
-  also have "\<dots> \<subseteq> closure (f ` (rel_interior S))"
-    using closure_linear_image_subset assms by auto
-  finally have "closure (f ` S) = closure (f ` rel_interior S)"
-    using closure_mono[of "f ` S" "closure (f ` rel_interior S)"] closure_closure
-      closure_mono[of "f ` rel_interior S" "f ` S"] *
-    by auto
-  then have "rel_interior (f ` S) = rel_interior (f ` rel_interior S)"
-    using assms convex_rel_interior
-      linear_conv_bounded_linear[of f] convex_linear_image[of _ S]
-      convex_linear_image[of _ "rel_interior S"]
-      closure_eq_rel_interior_eq[of "f ` S" "f ` rel_interior S"]
-    by auto
-  then have "rel_interior (f ` S) \<subseteq> f ` rel_interior S"
-    using rel_interior_subset by auto
-  moreover
-  {
-    fix z
-    assume "z \<in> f ` rel_interior S"
-    then obtain z1 where z1: "z1 \<in> rel_interior S" "f z1 = z" by auto
-    {
-      fix x
-      assume "x \<in> f ` S"
-      then obtain x1 where x1: "x1 \<in> S" "f x1 = x" by auto
-      then obtain e where e: "e > 1" "(1 - e) *\<^sub>R x1 + e *\<^sub>R z1 : S"
-        using convex_rel_interior_iff[of S z1] \<open>convex S\<close> x1 z1 by auto
-      moreover have "f ((1 - e) *\<^sub>R x1 + e *\<^sub>R z1) = (1 - e) *\<^sub>R x + e *\<^sub>R z"
-        using x1 z1 \<open>linear f\<close> by (simp add: linear_add_cmul)
-      ultimately have "(1 - e) *\<^sub>R x + e *\<^sub>R z : f ` S"
-        using imageI[of "(1 - e) *\<^sub>R x1 + e *\<^sub>R z1" S f] by auto
-      then have "\<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z : f ` S"
-        using e by auto
-    }
-    then have "z \<in> rel_interior (f ` S)"
-      using convex_rel_interior_iff[of "f ` S" z] \<open>convex S\<close>
-        \<open>linear f\<close> \<open>S \<noteq> {}\<close> convex_linear_image[of f S]  linear_conv_bounded_linear[of f]
-      by auto
-  }
-  ultimately show ?thesis by auto
-qed
-
-lemma rel_interior_convex_linear_preimage:
-  fixes f :: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space"
-  assumes "linear f"
-    and "convex S"
-    and "f -` (rel_interior S) \<noteq> {}"
-  shows "rel_interior (f -` S) = f -` (rel_interior S)"
-proof -
-  have "S \<noteq> {}"
-    using assms rel_interior_empty by auto
-  have nonemp: "f -` S \<noteq> {}"
-    by (metis assms(3) rel_interior_subset subset_empty vimage_mono)
-  then have "S \<inter> (range f) \<noteq> {}"
-    by auto
-  have conv: "convex (f -` S)"
-    using convex_linear_vimage assms by auto
-  then have "convex (S \<inter> range f)"
-    by (metis assms(1) assms(2) convex_Int subspace_UNIV subspace_imp_convex subspace_linear_image)
-  {
-    fix z
-    assume "z \<in> f -` (rel_interior S)"
-    then have z: "f z : rel_interior S"
-      by auto
-    {
-      fix x
-      assume "x \<in> f -` S"
-      then have "f x \<in> S" by auto
-      then obtain e where e: "e > 1" "(1 - e) *\<^sub>R f x + e *\<^sub>R f z \<in> S"
-        using convex_rel_interior_iff[of S "f z"] z assms \<open>S \<noteq> {}\<close> by auto
-      moreover have "(1 - e) *\<^sub>R f x + e *\<^sub>R f z = f ((1 - e) *\<^sub>R x + e *\<^sub>R z)"
-        using \<open>linear f\<close> by (simp add: linear_iff)
-      ultimately have "\<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R z \<in> f -` S"
-        using e by auto
-    }
-    then have "z \<in> rel_interior (f -` S)"
-      using convex_rel_interior_iff[of "f -` S" z] conv nonemp by auto
-  }
-  moreover
-  {
-    fix z
-    assume z: "z \<in> rel_interior (f -` S)"
-    {
-      fix x
-      assume "x \<in> S \<inter> range f"
-      then obtain y where y: "f y = x" "y \<in> f -` S" by auto
-      then obtain e where e: "e > 1" "(1 - e) *\<^sub>R y + e *\<^sub>R z \<in> f -` S"
-        using convex_rel_interior_iff[of "f -` S" z] z conv by auto
-      moreover have "(1 - e) *\<^sub>R x + e *\<^sub>R f z = f ((1 - e) *\<^sub>R y + e *\<^sub>R z)"
-        using \<open>linear f\<close> y by (simp add: linear_iff)
-      ultimately have "\<exists>e. e > 1 \<and> (1 - e) *\<^sub>R x + e *\<^sub>R f z \<in> S \<inter> range f"
-        using e by auto
-    }
-    then have "f z \<in> rel_interior (S \<inter> range f)"
-      using \<open>convex (S \<inter> (range f))\<close> \<open>S \<inter> range f \<noteq> {}\<close>
-        convex_rel_interior_iff[of "S \<inter> (range f)" "f z"]
-      by auto
-    moreover have "affine (range f)"
-      by (metis assms(1) subspace_UNIV subspace_imp_affine subspace_linear_image)
-    ultimately have "f z \<in> rel_interior S"
-      using convex_affine_rel_interior_Int[of S "range f"] assms by auto
-    then have "z \<in> f -` (rel_interior S)"
-      by auto
-  }
-  ultimately show ?thesis by auto
-qed
-
-lemma rel_interior_Times:
-  fixes S :: "'n::euclidean_space set"
-    and T :: "'m::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-  shows "rel_interior (S \<times> T) = rel_interior S \<times> rel_interior T"
-proof -
-  { assume "S = {}"
-    then have ?thesis
-      by auto
-  }
-  moreover
-  { assume "T = {}"
-    then have ?thesis
-       by auto
-  }
-  moreover
-  {
-    assume "S \<noteq> {}" "T \<noteq> {}"
-    then have ri: "rel_interior S \<noteq> {}" "rel_interior T \<noteq> {}"
-      using rel_interior_eq_empty assms by auto
-    then have "fst -` rel_interior S \<noteq> {}"
-      using fst_vimage_eq_Times[of "rel_interior S"] by auto
-    then have "rel_interior ((fst :: 'n * 'm \<Rightarrow> 'n) -` S) = fst -` rel_interior S"
-      using fst_linear \<open>convex S\<close> rel_interior_convex_linear_preimage[of fst S] by auto
-    then have s: "rel_interior (S \<times> (UNIV :: 'm set)) = rel_interior S \<times> UNIV"
-      by (simp add: fst_vimage_eq_Times)
-    from ri have "snd -` rel_interior T \<noteq> {}"
-      using snd_vimage_eq_Times[of "rel_interior T"] by auto
-    then have "rel_interior ((snd :: 'n * 'm \<Rightarrow> 'm) -` T) = snd -` rel_interior T"
-      using snd_linear \<open>convex T\<close> rel_interior_convex_linear_preimage[of snd T] by auto
-    then have t: "rel_interior ((UNIV :: 'n set) \<times> T) = UNIV \<times> rel_interior T"
-      by (simp add: snd_vimage_eq_Times)
-    from s t have *: "rel_interior (S \<times> (UNIV :: 'm set)) \<inter> rel_interior ((UNIV :: 'n set) \<times> T) =
-      rel_interior S \<times> rel_interior T" by auto
-    have "S \<times> T = S \<times> (UNIV :: 'm set) \<inter> (UNIV :: 'n set) \<times> T"
-      by auto
-    then have "rel_interior (S \<times> T) = rel_interior ((S \<times> (UNIV :: 'm set)) \<inter> ((UNIV :: 'n set) \<times> T))"
-      by auto
-    also have "\<dots> = rel_interior (S \<times> (UNIV :: 'm set)) \<inter> rel_interior ((UNIV :: 'n set) \<times> T)"
-       apply (subst convex_rel_interior_inter_two[of "S \<times> (UNIV :: 'm set)" "(UNIV :: 'n set) \<times> T"])
-       using * ri assms convex_Times
-       apply auto
-       done
-    finally have ?thesis using * by auto
-  }
-  ultimately show ?thesis by blast
-qed
-
-lemma rel_interior_scaleR:
-  fixes S :: "'n::euclidean_space set"
-  assumes "c \<noteq> 0"
-  shows "(op *\<^sub>R c) ` (rel_interior S) = rel_interior ((op *\<^sub>R c) ` S)"
-  using rel_interior_injective_linear_image[of "(op *\<^sub>R c)" S]
-    linear_conv_bounded_linear[of "op *\<^sub>R c"] linear_scaleR injective_scaleR[of c] assms
-  by auto
-
-lemma rel_interior_convex_scaleR:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-  shows "(op *\<^sub>R c) ` (rel_interior S) = rel_interior ((op *\<^sub>R c) ` S)"
-  by (metis assms linear_scaleR rel_interior_convex_linear_image)
-
-lemma convex_rel_open_scaleR:
-  fixes S :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "rel_open S"
-  shows "convex ((op *\<^sub>R c) ` S) \<and> rel_open ((op *\<^sub>R c) ` S)"
-  by (metis assms convex_scaling rel_interior_convex_scaleR rel_open_def)
-
-lemma convex_rel_open_finite_inter:
-  assumes "\<forall>S\<in>I. convex (S :: 'n::euclidean_space set) \<and> rel_open S"
-    and "finite I"
-  shows "convex (\<Inter>I) \<and> rel_open (\<Inter>I)"
-proof (cases "\<Inter>{rel_interior S |S. S \<in> I} = {}")
-  case True
-  then have "\<Inter>I = {}"
-    using assms unfolding rel_open_def by auto
-  then show ?thesis
-    unfolding rel_open_def using rel_interior_empty by auto
-next
-  case False
-  then have "rel_open (\<Inter>I)"
-    using assms unfolding rel_open_def
-    using convex_rel_interior_finite_inter[of I]
-    by auto
-  then show ?thesis
-    using convex_Inter assms by auto
-qed
-
-lemma convex_rel_open_linear_image:
-  fixes f :: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space"
-  assumes "linear f"
-    and "convex S"
-    and "rel_open S"
-  shows "convex (f ` S) \<and> rel_open (f ` S)"
-  by (metis assms convex_linear_image rel_interior_convex_linear_image rel_open_def)
-
-lemma convex_rel_open_linear_preimage:
-  fixes f :: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space"
-  assumes "linear f"
-    and "convex S"
-    and "rel_open S"
-  shows "convex (f -` S) \<and> rel_open (f -` S)"
-proof (cases "f -` (rel_interior S) = {}")
-  case True
-  then have "f -` S = {}"
-    using assms unfolding rel_open_def by auto
-  then show ?thesis
-    unfolding rel_open_def using rel_interior_empty by auto
-next
-  case False
-  then have "rel_open (f -` S)"
-    using assms unfolding rel_open_def
-    using rel_interior_convex_linear_preimage[of f S]
-    by auto
-  then show ?thesis
-    using convex_linear_vimage assms
-    by auto
-qed
-
-lemma rel_interior_projection:
-  fixes S :: "('m::euclidean_space \<times> 'n::euclidean_space) set"
-    and f :: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space set"
-  assumes "convex S"
-    and "f = (\<lambda>y. {z. (y, z) \<in> S})"
-  shows "(y, z) \<in> rel_interior S \<longleftrightarrow> (y \<in> rel_interior {y. (f y \<noteq> {})} \<and> z \<in> rel_interior (f y))"
-proof -
-  {
-    fix y
-    assume "y \<in> {y. f y \<noteq> {}}"
-    then obtain z where "(y, z) \<in> S"
-      using assms by auto
-    then have "\<exists>x. x \<in> S \<and> y = fst x"
-      apply (rule_tac x="(y, z)" in exI)
-      apply auto
-      done
-    then obtain x where "x \<in> S" "y = fst x"
-      by blast
-    then have "y \<in> fst ` S"
-      unfolding image_def by auto
-  }
-  then have "fst ` S = {y. f y \<noteq> {}}"
-    unfolding fst_def using assms by auto
-  then have h1: "fst ` rel_interior S = rel_interior {y. f y \<noteq> {}}"
-    using rel_interior_convex_linear_image[of fst S] assms fst_linear by auto
-  {
-    fix y
-    assume "y \<in> rel_interior {y. f y \<noteq> {}}"
-    then have "y \<in> fst ` rel_interior S"
-      using h1 by auto
-    then have *: "rel_interior S \<inter> fst -` {y} \<noteq> {}"
-      by auto
-    moreover have aff: "affine (fst -` {y})"
-      unfolding affine_alt by (simp add: algebra_simps)
-    ultimately have **: "rel_interior (S \<inter> fst -` {y}) = rel_interior S \<inter> fst -` {y}"
-      using convex_affine_rel_interior_Int[of S "fst -` {y}"] assms by auto
-    have conv: "convex (S \<inter> fst -` {y})"
-      using convex_Int assms aff affine_imp_convex by auto
-    {
-      fix x
-      assume "x \<in> f y"
-      then have "(y, x) \<in> S \<inter> (fst -` {y})"
-        using assms by auto
-      moreover have "x = snd (y, x)" by auto
-      ultimately have "x \<in> snd ` (S \<inter> fst -` {y})"
-        by blast
-    }
-    then have "snd ` (S \<inter> fst -` {y}) = f y"
-      using assms by auto
-    then have ***: "rel_interior (f y) = snd ` rel_interior (S \<inter> fst -` {y})"
-      using rel_interior_convex_linear_image[of snd "S \<inter> fst -` {y}"] snd_linear conv
-      by auto
-    {
-      fix z
-      assume "z \<in> rel_interior (f y)"
-      then have "z \<in> snd ` rel_interior (S \<inter> fst -` {y})"
-        using *** by auto
-      moreover have "{y} = fst ` rel_interior (S \<inter> fst -` {y})"
-        using * ** rel_interior_subset by auto
-      ultimately have "(y, z) \<in> rel_interior (S \<inter> fst -` {y})"
-        by force
-      then have "(y,z) \<in> rel_interior S"
-        using ** by auto
-    }
-    moreover
-    {
-      fix z
-      assume "(y, z) \<in> rel_interior S"
-      then have "(y, z) \<in> rel_interior (S \<inter> fst -` {y})"
-        using ** by auto
-      then have "z \<in> snd ` rel_interior (S \<inter> fst -` {y})"
-        by (metis Range_iff snd_eq_Range)
-      then have "z \<in> rel_interior (f y)"
-        using *** by auto
-    }
-    ultimately have "\<And>z. (y, z) \<in> rel_interior S \<longleftrightarrow> z \<in> rel_interior (f y)"
-      by auto
-  }
-  then have h2: "\<And>y z. y \<in> rel_interior {t. f t \<noteq> {}} \<Longrightarrow>
-    (y, z) \<in> rel_interior S \<longleftrightarrow> z \<in> rel_interior (f y)"
-    by auto
-  {
-    fix y z
-    assume asm: "(y, z) \<in> rel_interior S"
-    then have "y \<in> fst ` rel_interior S"
-      by (metis Domain_iff fst_eq_Domain)
-    then have "y \<in> rel_interior {t. f t \<noteq> {}}"
-      using h1 by auto
-    then have "y \<in> rel_interior {t. f t \<noteq> {}}" and "(z : rel_interior (f y))"
-      using h2 asm by auto
-  }
-  then show ?thesis using h2 by blast
-qed
-
-lemma rel_frontier_Times:
-  fixes S :: "'n::euclidean_space set"
-    and T :: "'m::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-  shows "rel_frontier S \<times> rel_frontier T \<subseteq> rel_frontier (S \<times> T)"
-    by (force simp: rel_frontier_def rel_interior_Times assms closure_Times)
-
-
-subsubsection \<open>Relative interior of convex cone\<close>
-
-lemma cone_rel_interior:
-  fixes S :: "'m::euclidean_space set"
-  assumes "cone S"
-  shows "cone ({0} \<union> rel_interior S)"
-proof (cases "S = {}")
-  case True
-  then show ?thesis
-    by (simp add: rel_interior_empty cone_0)
-next
-  case False
-  then have *: "0 \<in> S \<and> (\<forall>c. c > 0 \<longrightarrow> op *\<^sub>R c ` S = S)"
-    using cone_iff[of S] assms by auto
-  then have *: "0 \<in> ({0} \<union> rel_interior S)"
-    and "\<forall>c. c > 0 \<longrightarrow> op *\<^sub>R c ` ({0} \<union> rel_interior S) = ({0} \<union> rel_interior S)"
-    by (auto simp add: rel_interior_scaleR)
-  then show ?thesis
-    using cone_iff[of "{0} \<union> rel_interior S"] by auto
-qed
-
-lemma rel_interior_convex_cone_aux:
-  fixes S :: "'m::euclidean_space set"
-  assumes "convex S"
-  shows "(c, x) \<in> rel_interior (cone hull ({(1 :: real)} \<times> S)) \<longleftrightarrow>
-    c > 0 \<and> x \<in> ((op *\<^sub>R c) ` (rel_interior S))"
-proof (cases "S = {}")
-  case True
-  then show ?thesis
-    by (simp add: rel_interior_empty cone_hull_empty)
-next
-  case False
-  then obtain s where "s \<in> S" by auto
-  have conv: "convex ({(1 :: real)} \<times> S)"
-    using convex_Times[of "{(1 :: real)}" S] assms convex_singleton[of "1 :: real"]
-    by auto
-  define f where "f y = {z. (y, z) \<in> cone hull ({1 :: real} \<times> S)}" for y
-  then have *: "(c, x) \<in> rel_interior (cone hull ({(1 :: real)} \<times> S)) =
-    (c \<in> rel_interior {y. f y \<noteq> {}} \<and> x \<in> rel_interior (f c))"
-    apply (subst rel_interior_projection[of "cone hull ({(1 :: real)} \<times> S)" f c x])
-    using convex_cone_hull[of "{(1 :: real)} \<times> S"] conv
-    apply auto
-    done
-  {
-    fix y :: real
-    assume "y \<ge> 0"
-    then have "y *\<^sub>R (1,s) \<in> cone hull ({1 :: real} \<times> S)"
-      using cone_hull_expl[of "{(1 :: real)} \<times> S"] \<open>s \<in> S\<close> by auto
-    then have "f y \<noteq> {}"
-      using f_def by auto
-  }
-  then have "{y. f y \<noteq> {}} = {0..}"
-    using f_def cone_hull_expl[of "{1 :: real} \<times> S"] by auto
-  then have **: "rel_interior {y. f y \<noteq> {}} = {0<..}"
-    using rel_interior_real_semiline by auto
-  {
-    fix c :: real
-    assume "c > 0"
-    then have "f c = (op *\<^sub>R c ` S)"
-      using f_def cone_hull_expl[of "{1 :: real} \<times> S"] by auto
-    then have "rel_interior (f c) = op *\<^sub>R c ` rel_interior S"
-      using rel_interior_convex_scaleR[of S c] assms by auto
-  }
-  then show ?thesis using * ** by auto
-qed
-
-lemma rel_interior_convex_cone:
-  fixes S :: "'m::euclidean_space set"
-  assumes "convex S"
-  shows "rel_interior (cone hull ({1 :: real} \<times> S)) =
-    {(c, c *\<^sub>R x) | c x. c > 0 \<and> x \<in> rel_interior S}"
-  (is "?lhs = ?rhs")
-proof -
-  {
-    fix z
-    assume "z \<in> ?lhs"
-    have *: "z = (fst z, snd z)"
-      by auto
-    have "z \<in> ?rhs"
-      using rel_interior_convex_cone_aux[of S "fst z" "snd z"] assms \<open>z \<in> ?lhs\<close>
-      apply auto
-      apply (rule_tac x = "fst z" in exI)
-      apply (rule_tac x = x in exI)
-      using *
-      apply auto
-      done
-  }
-  moreover
-  {
-    fix z
-    assume "z \<in> ?rhs"
-    then have "z \<in> ?lhs"
-      using rel_interior_convex_cone_aux[of S "fst z" "snd z"] assms
-      by auto
-  }
-  ultimately show ?thesis by blast
-qed
-
-lemma convex_hull_finite_union:
-  assumes "finite I"
-  assumes "\<forall>i\<in>I. convex (S i) \<and> (S i) \<noteq> {}"
-  shows "convex hull (\<Union>(S ` I)) =
-    {sum (\<lambda>i. c i *\<^sub>R s i) I | c s. (\<forall>i\<in>I. c i \<ge> 0) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. s i \<in> S i)}"
-  (is "?lhs = ?rhs")
-proof -
-  have "?lhs \<supseteq> ?rhs"
-  proof
-    fix x
-    assume "x : ?rhs"
-    then obtain c s where *: "sum (\<lambda>i. c i *\<^sub>R s i) I = x" "sum c I = 1"
-      "(\<forall>i\<in>I. c i \<ge> 0) \<and> (\<forall>i\<in>I. s i \<in> S i)" by auto
-    then have "\<forall>i\<in>I. s i \<in> convex hull (\<Union>(S ` I))"
-      using hull_subset[of "\<Union>(S ` I)" convex] by auto
-    then show "x \<in> ?lhs"
-      unfolding *(1)[symmetric]
-      apply (subst convex_sum[of I "convex hull \<Union>(S ` I)" c s])
-      using * assms convex_convex_hull
-      apply auto
-      done
-  qed
-
-  {
-    fix i
-    assume "i \<in> I"
-    with assms have "\<exists>p. p \<in> S i" by auto
-  }
-  then obtain p where p: "\<forall>i\<in>I. p i \<in> S i" by metis
-
-  {
-    fix i
-    assume "i \<in> I"
-    {
-      fix x
-      assume "x \<in> S i"
-      define c where "c j = (if j = i then 1::real else 0)" for j
-      then have *: "sum c I = 1"
-        using \<open>finite I\<close> \<open>i \<in> I\<close> sum.delta[of I i "\<lambda>j::'a. 1::real"]
-        by auto
-      define s where "s j = (if j = i then x else p j)" for j
-      then have "\<forall>j. c j *\<^sub>R s j = (if j = i then x else 0)"
-        using c_def by (auto simp add: algebra_simps)
-      then have "x = sum (\<lambda>i. c i *\<^sub>R s i) I"
-        using s_def c_def \<open>finite I\<close> \<open>i \<in> I\<close> sum.delta[of I i "\<lambda>j::'a. x"]
-        by auto
-      then have "x \<in> ?rhs"
-        apply auto
-        apply (rule_tac x = c in exI)
-        apply (rule_tac x = s in exI)
-        using * c_def s_def p \<open>x \<in> S i\<close>
-        apply auto
-        done
-    }
-    then have "?rhs \<supseteq> S i" by auto
-  }
-  then have *: "?rhs \<supseteq> \<Union>(S ` I)" by auto
-
-  {
-    fix u v :: real
-    assume uv: "u \<ge> 0 \<and> v \<ge> 0 \<and> u + v = 1"
-    fix x y
-    assume xy: "x \<in> ?rhs \<and> y \<in> ?rhs"
-    from xy obtain c s where
-      xc: "x = sum (\<lambda>i. c i *\<^sub>R s i) I \<and> (\<forall>i\<in>I. c i \<ge> 0) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. s i \<in> S i)"
-      by auto
-    from xy obtain d t where
-      yc: "y = sum (\<lambda>i. d i *\<^sub>R t i) I \<and> (\<forall>i\<in>I. d i \<ge> 0) \<and> sum d I = 1 \<and> (\<forall>i\<in>I. t i \<in> S i)"
-      by auto
-    define e where "e i = u * c i + v * d i" for i
-    have ge0: "\<forall>i\<in>I. e i \<ge> 0"
-      using e_def xc yc uv by simp
-    have "sum (\<lambda>i. u * c i) I = u * sum c I"
-      by (simp add: sum_distrib_left)
-    moreover have "sum (\<lambda>i. v * d i) I = v * sum d I"
-      by (simp add: sum_distrib_left)
-    ultimately have sum1: "sum e I = 1"
-      using e_def xc yc uv by (simp add: sum.distrib)
-    define q where "q i = (if e i = 0 then p i else (u * c i / e i) *\<^sub>R s i + (v * d i / e i) *\<^sub>R t i)"
-      for i
-    {
-      fix i
-      assume i: "i \<in> I"
-      have "q i \<in> S i"
-      proof (cases "e i = 0")
-        case True
-        then show ?thesis using i p q_def by auto
-      next
-        case False
-        then show ?thesis
-          using mem_convex_alt[of "S i" "s i" "t i" "u * (c i)" "v * (d i)"]
-            mult_nonneg_nonneg[of u "c i"] mult_nonneg_nonneg[of v "d i"]
-            assms q_def e_def i False xc yc uv
-          by (auto simp del: mult_nonneg_nonneg)
-      qed
-    }
-    then have qs: "\<forall>i\<in>I. q i \<in> S i" by auto
-    {
-      fix i
-      assume i: "i \<in> I"
-      have "(u * c i) *\<^sub>R s i + (v * d i) *\<^sub>R t i = e i *\<^sub>R q i"
-      proof (cases "e i = 0")
-        case True
-        have ge: "u * (c i) \<ge> 0 \<and> v * d i \<ge> 0"
-          using xc yc uv i by simp
-        moreover from ge have "u * c i \<le> 0 \<and> v * d i \<le> 0"
-          using True e_def i by simp
-        ultimately have "u * c i = 0 \<and> v * d i = 0" by auto
-        with True show ?thesis by auto
-      next
-        case False
-        then have "(u * (c i)/(e i))*\<^sub>R (s i)+(v * (d i)/(e i))*\<^sub>R (t i) = q i"
-          using q_def by auto
-        then have "e i *\<^sub>R ((u * (c i)/(e i))*\<^sub>R (s i)+(v * (d i)/(e i))*\<^sub>R (t i))
-               = (e i) *\<^sub>R (q i)" by auto
-        with False show ?thesis by (simp add: algebra_simps)
-      qed
-    }
-    then have *: "\<forall>i\<in>I. (u * c i) *\<^sub>R s i + (v * d i) *\<^sub>R t i = e i *\<^sub>R q i"
-      by auto
-    have "u *\<^sub>R x + v *\<^sub>R y = sum (\<lambda>i. (u * c i) *\<^sub>R s i + (v * d i) *\<^sub>R t i) I"
-      using xc yc by (simp add: algebra_simps scaleR_right.sum sum.distrib)
-    also have "\<dots> = sum (\<lambda>i. e i *\<^sub>R q i) I"
-      using * by auto
-    finally have "u *\<^sub>R x + v *\<^sub>R y = sum (\<lambda>i. (e i) *\<^sub>R (q i)) I"
-      by auto
-    then have "u *\<^sub>R x + v *\<^sub>R y \<in> ?rhs"
-      using ge0 sum1 qs by auto
-  }
-  then have "convex ?rhs" unfolding convex_def by auto
-  then show ?thesis
-    using \<open>?lhs \<supseteq> ?rhs\<close> * hull_minimal[of "\<Union>(S ` I)" ?rhs convex]
-    by blast
-qed
-
-lemma convex_hull_union_two:
-  fixes S T :: "'m::euclidean_space set"
-  assumes "convex S"
-    and "S \<noteq> {}"
-    and "convex T"
-    and "T \<noteq> {}"
-  shows "convex hull (S \<union> T) =
-    {u *\<^sub>R s + v *\<^sub>R t | u v s t. u \<ge> 0 \<and> v \<ge> 0 \<and> u + v = 1 \<and> s \<in> S \<and> t \<in> T}"
-  (is "?lhs = ?rhs")
-proof
-  define I :: "nat set" where "I = {1, 2}"
-  define s where "s i = (if i = (1::nat) then S else T)" for i
-  have "\<Union>(s ` I) = S \<union> T"
-    using s_def I_def by auto
-  then have "convex hull (\<Union>(s ` I)) = convex hull (S \<union> T)"
-    by auto
-  moreover have "convex hull \<Union>(s ` I) =
-    {\<Sum> i\<in>I. c i *\<^sub>R sa i | c sa. (\<forall>i\<in>I. 0 \<le> c i) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. sa i \<in> s i)}"
-      apply (subst convex_hull_finite_union[of I s])
-      using assms s_def I_def
-      apply auto
-      done
-  moreover have
-    "{\<Sum>i\<in>I. c i *\<^sub>R sa i | c sa. (\<forall>i\<in>I. 0 \<le> c i) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. sa i \<in> s i)} \<le> ?rhs"
-    using s_def I_def by auto
-  ultimately show "?lhs \<subseteq> ?rhs" by auto
-  {
-    fix x
-    assume "x \<in> ?rhs"
-    then obtain u v s t where *: "x = u *\<^sub>R s + v *\<^sub>R t \<and> u \<ge> 0 \<and> v \<ge> 0 \<and> u + v = 1 \<and> s \<in> S \<and> t \<in> T"
-      by auto
-    then have "x \<in> convex hull {s, t}"
-      using convex_hull_2[of s t] by auto
-    then have "x \<in> convex hull (S \<union> T)"
-      using * hull_mono[of "{s, t}" "S \<union> T"] by auto
-  }
-  then show "?lhs \<supseteq> ?rhs" by blast
-qed
-
-
-subsection \<open>Convexity on direct sums\<close>
-
-lemma closure_sum:
-  fixes S T :: "'a::real_normed_vector set"
-  shows "closure S + closure T \<subseteq> closure (S + T)"
-  unfolding set_plus_image closure_Times [symmetric] split_def
-  by (intro closure_bounded_linear_image_subset bounded_linear_add
-    bounded_linear_fst bounded_linear_snd)
-
-lemma rel_interior_sum:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "convex T"
-  shows "rel_interior (S + T) = rel_interior S + rel_interior T"
-proof -
-  have "rel_interior S + rel_interior T = (\<lambda>(x,y). x + y) ` (rel_interior S \<times> rel_interior T)"
-    by (simp add: set_plus_image)
-  also have "\<dots> = (\<lambda>(x,y). x + y) ` rel_interior (S \<times> T)"
-    using rel_interior_Times assms by auto
-  also have "\<dots> = rel_interior (S + T)"
-    using fst_snd_linear convex_Times assms
-      rel_interior_convex_linear_image[of "(\<lambda>(x,y). x + y)" "S \<times> T"]
-    by (auto simp add: set_plus_image)
-  finally show ?thesis ..
-qed
-
-lemma rel_interior_sum_gen:
-  fixes S :: "'a \<Rightarrow> 'n::euclidean_space set"
-  assumes "\<forall>i\<in>I. convex (S i)"
-  shows "rel_interior (sum S I) = sum (\<lambda>i. rel_interior (S i)) I"
-  apply (subst sum_set_cond_linear[of convex])
-  using rel_interior_sum rel_interior_sing[of "0"] assms
-  apply (auto simp add: convex_set_plus)
-  done
-
-lemma convex_rel_open_direct_sum:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "rel_open S"
-    and "convex T"
-    and "rel_open T"
-  shows "convex (S \<times> T) \<and> rel_open (S \<times> T)"
-  by (metis assms convex_Times rel_interior_Times rel_open_def)
-
-lemma convex_rel_open_sum:
-  fixes S T :: "'n::euclidean_space set"
-  assumes "convex S"
-    and "rel_open S"
-    and "convex T"
-    and "rel_open T"
-  shows "convex (S + T) \<and> rel_open (S + T)"
-  by (metis assms convex_set_plus rel_interior_sum rel_open_def)
-
-lemma convex_hull_finite_union_cones:
-  assumes "finite I"
-    and "I \<noteq> {}"
-  assumes "\<forall>i\<in>I. convex (S i) \<and> cone (S i) \<and> S i \<noteq> {}"
-  shows "convex hull (\<Union>(S ` I)) = sum S I"
-  (is "?lhs = ?rhs")
-proof -
-  {
-    fix x
-    assume "x \<in> ?lhs"
-    then obtain c xs where
-      x: "x = sum (\<lambda>i. c i *\<^sub>R xs i) I \<and> (\<forall>i\<in>I. c i \<ge> 0) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. xs i \<in> S i)"
-      using convex_hull_finite_union[of I S] assms by auto
-    define s where "s i = c i *\<^sub>R xs i" for i
-    {
-      fix i
-      assume "i \<in> I"
-      then have "s i \<in> S i"
-        using s_def x assms mem_cone[of "S i" "xs i" "c i"] by auto
-    }
-    then have "\<forall>i\<in>I. s i \<in> S i" by auto
-    moreover have "x = sum s I" using x s_def by auto
-    ultimately have "x \<in> ?rhs"
-      using set_sum_alt[of I S] assms by auto
-  }
-  moreover
-  {
-    fix x
-    assume "x \<in> ?rhs"
-    then obtain s where x: "x = sum s I \<and> (\<forall>i\<in>I. s i \<in> S i)"
-      using set_sum_alt[of I S] assms by auto
-    define xs where "xs i = of_nat(card I) *\<^sub>R s i" for i
-    then have "x = sum (\<lambda>i. ((1 :: real) / of_nat(card I)) *\<^sub>R xs i) I"
-      using x assms by auto
-    moreover have "\<forall>i\<in>I. xs i \<in> S i"
-      using x xs_def assms by (simp add: cone_def)
-    moreover have "\<forall>i\<in>I. (1 :: real) / of_nat (card I) \<ge> 0"
-      by auto
-    moreover have "sum (\<lambda>i. (1 :: real) / of_nat (card I)) I = 1"
-      using assms by auto
-    ultimately have "x \<in> ?lhs"
-      apply (subst convex_hull_finite_union[of I S])
-      using assms
-      apply blast
-      using assms
-      apply blast
-      apply rule
-      apply (rule_tac x = "(\<lambda>i. (1 :: real) / of_nat (card I))" in exI)
-      apply auto
-      done
-  }
-  ultimately show ?thesis by auto
-qed
-
-lemma convex_hull_union_cones_two:
-  fixes S T :: "'m::euclidean_space set"
-  assumes "convex S"
-    and "cone S"
-    and "S \<noteq> {}"
-  assumes "convex T"
-    and "cone T"
-    and "T \<noteq> {}"
-  shows "convex hull (S \<union> T) = S + T"
-proof -
-  define I :: "nat set" where "I = {1, 2}"
-  define A where "A i = (if i = (1::nat) then S else T)" for i
-  have "\<Union>(A ` I) = S \<union> T"
-    using A_def I_def by auto
-  then have "convex hull (\<Union>(A ` I)) = convex hull (S \<union> T)"
-    by auto
-  moreover have "convex hull \<Union>(A ` I) = sum A I"
-    apply (subst convex_hull_finite_union_cones[of I A])
-    using assms A_def I_def
-    apply auto
-    done
-  moreover have "sum A I = S + T"
-    using A_def I_def
-    unfolding set_plus_def
-    apply auto
-    unfolding set_plus_def
-    apply auto
-    done
-  ultimately show ?thesis by auto
-qed
-
-lemma rel_interior_convex_hull_union:
-  fixes S :: "'a \<Rightarrow> 'n::euclidean_space set"
-  assumes "finite I"
-    and "\<forall>i\<in>I. convex (S i) \<and> S i \<noteq> {}"
-  shows "rel_interior (convex hull (\<Union>(S ` I))) =
-    {sum (\<lambda>i. c i *\<^sub>R s i) I | c s. (\<forall>i\<in>I. c i > 0) \<and> sum c I = 1 \<and>
-      (\<forall>i\<in>I. s i \<in> rel_interior(S i))}"
-  (is "?lhs = ?rhs")
-proof (cases "I = {}")
-  case True
-  then show ?thesis
-    using convex_hull_empty rel_interior_empty by auto
-next
-  case False
-  define C0 where "C0 = convex hull (\<Union>(S ` I))"
-  have "\<forall>i\<in>I. C0 \<ge> S i"
-    unfolding C0_def using hull_subset[of "\<Union>(S ` I)"] by auto
-  define K0 where "K0 = cone hull ({1 :: real} \<times> C0)"
-  define K where "K i = cone hull ({1 :: real} \<times> S i)" for i
-  have "\<forall>i\<in>I. K i \<noteq> {}"
-    unfolding K_def using assms
-    by (simp add: cone_hull_empty_iff[symmetric])
-  {
-    fix i
-    assume "i \<in> I"
-    then have "convex (K i)"
-      unfolding K_def
-      apply (subst convex_cone_hull)
-      apply (subst convex_Times)
-      using assms
-      apply auto
-      done
-  }
-  then have convK: "\<forall>i\<in>I. convex (K i)"
-    by auto
-  {
-    fix i
-    assume "i \<in> I"
-    then have "K0 \<supseteq> K i"
-      unfolding K0_def K_def
-      apply (subst hull_mono)
-      using \<open>\<forall>i\<in>I. C0 \<ge> S i\<close>
-      apply auto
-      done
-  }
-  then have "K0 \<supseteq> \<Union>(K ` I)" by auto
-  moreover have "convex K0"
-    unfolding K0_def
-    apply (subst convex_cone_hull)
-    apply (subst convex_Times)
-    unfolding C0_def
-    using convex_convex_hull
-    apply auto
-    done
-  ultimately have geq: "K0 \<supseteq> convex hull (\<Union>(K ` I))"
-    using hull_minimal[of _ "K0" "convex"] by blast
-  have "\<forall>i\<in>I. K i \<supseteq> {1 :: real} \<times> S i"
-    using K_def by (simp add: hull_subset)
-  then have "\<Union>(K ` I) \<supseteq> {1 :: real} \<times> \<Union>(S ` I)"
-    by auto
-  then have "convex hull \<Union>(K ` I) \<supseteq> convex hull ({1 :: real} \<times> \<Union>(S ` I))"
-    by (simp add: hull_mono)
-  then have "convex hull \<Union>(K ` I) \<supseteq> {1 :: real} \<times> C0"
-    unfolding C0_def
-    using convex_hull_Times[of "{(1 :: real)}" "\<Union>(S ` I)"] convex_hull_singleton
-    by auto
-  moreover have "cone (convex hull (\<Union>(K ` I)))"
-    apply (subst cone_convex_hull)
-    using cone_Union[of "K ` I"]
-    apply auto
-    unfolding K_def
-    using cone_cone_hull
-    apply auto
-    done
-  ultimately have "convex hull (\<Union>(K ` I)) \<supseteq> K0"
-    unfolding K0_def
-    using hull_minimal[of _ "convex hull (\<Union>(K ` I))" "cone"]
-    by blast
-  then have "K0 = convex hull (\<Union>(K ` I))"
-    using geq by auto
-  also have "\<dots> = sum K I"
-    apply (subst convex_hull_finite_union_cones[of I K])
-    using assms
-    apply blast
-    using False
-    apply blast
-    unfolding K_def
-    apply rule
-    apply (subst convex_cone_hull)
-    apply (subst convex_Times)
-    using assms cone_cone_hull \<open>\<forall>i\<in>I. K i \<noteq> {}\<close> K_def
-    apply auto
-    done
-  finally have "K0 = sum K I" by auto
-  then have *: "rel_interior K0 = sum (\<lambda>i. (rel_interior (K i))) I"
-    using rel_interior_sum_gen[of I K] convK by auto
-  {
-    fix x
-    assume "x \<in> ?lhs"
-    then have "(1::real, x) \<in> rel_interior K0"
-      using K0_def C0_def rel_interior_convex_cone_aux[of C0 "1::real" x] convex_convex_hull
-      by auto
-    then obtain k where k: "(1::real, x) = sum k I \<and> (\<forall>i\<in>I. k i \<in> rel_interior (K i))"
-      using \<open>finite I\<close> * set_sum_alt[of I "\<lambda>i. rel_interior (K i)"] by auto
-    {
-      fix i
-      assume "i \<in> I"
-      then have "convex (S i) \<and> k i \<in> rel_interior (cone hull {1} \<times> S i)"
-        using k K_def assms by auto
-      then have "\<exists>ci si. k i = (ci, ci *\<^sub>R si) \<and> 0 < ci \<and> si \<in> rel_interior (S i)"
-        using rel_interior_convex_cone[of "S i"] by auto
-    }
-    then obtain c s where
-      cs: "\<forall>i\<in>I. k i = (c i, c i *\<^sub>R s i) \<and> 0 < c i \<and> s i \<in> rel_interior (S i)"
-      by metis
-    then have "x = (\<Sum>i\<in>I. c i *\<^sub>R s i) \<and> sum c I = 1"
-      using k by (simp add: sum_prod)
-    then have "x \<in> ?rhs"
-      using k
-      apply auto
-      apply (rule_tac x = c in exI)
-      apply (rule_tac x = s in exI)
-      using cs
-      apply auto
-      done
-  }
-  moreover
-  {
-    fix x
-    assume "x \<in> ?rhs"
-    then obtain c s where cs: "x = sum (\<lambda>i. c i *\<^sub>R s i) I \<and>
-        (\<forall>i\<in>I. c i > 0) \<and> sum c I = 1 \<and> (\<forall>i\<in>I. s i \<in> rel_interior (S i))"
-      by auto
-    define k where "k i = (c i, c i *\<^sub>R s i)" for i
-    {
-      fix i assume "i:I"
-      then have "k i \<in> rel_interior (K i)"
-        using k_def K_def assms cs rel_interior_convex_cone[of "S i"]
-        by auto
-    }
-    then have "(1::real, x) \<in> rel_interior K0"
-      using K0_def * set_sum_alt[of I "(\<lambda>i. rel_interior (K i))"] assms k_def cs
-      apply auto
-      apply (rule_tac x = k in exI)
-      apply (simp add: sum_prod)
-      done
-    then have "x \<in> ?lhs"
-      using K0_def C0_def rel_interior_convex_cone_aux[of C0 1 x]
-      by (auto simp add: convex_convex_hull)
-  }
-  ultimately show ?thesis by blast
-qed
-
-
-lemma convex_le_Inf_differential:
-  fixes f :: "real \<Rightarrow> real"
-  assumes "convex_on I f"
-    and "x \<in> interior I"
-    and "y \<in> I"
-  shows "f y \<ge> f x + Inf ((\<lambda>t. (f x - f t) / (x - t)) ` ({x<..} \<inter> I)) * (y - x)"
-  (is "_ \<ge> _ + Inf (?F x) * (y - x)")
-proof (cases rule: linorder_cases)
-  assume "x < y"
-  moreover
-  have "open (interior I)" by auto
-  from openE[OF this \<open>x \<in> interior I\<close>]
-  obtain e where e: "0 < e" "ball x e \<subseteq> interior I" .
-  moreover define t where "t = min (x + e / 2) ((x + y) / 2)"
-  ultimately have "x < t" "t < y" "t \<in> ball x e"
-    by (auto simp: dist_real_def field_simps split: split_min)
-  with \<open>x \<in> interior I\<close> e interior_subset[of I] have "t \<in> I" "x \<in> I" by auto
-
-  have "open (interior I)" by auto
-  from openE[OF this \<open>x \<in> interior I\<close>]
-  obtain e where "0 < e" "ball x e \<subseteq> interior I" .
-  moreover define K where "K = x - e / 2"
-  with \<open>0 < e\<close> have "K \<in> ball x e" "K < x"
-    by (auto simp: dist_real_def)
-  ultimately have "K \<in> I" "K < x" "x \<in> I"
-    using interior_subset[of I] \<open>x \<in> interior I\<close> by auto
-
-  have "Inf (?F x) \<le> (f x - f y) / (x - y)"
-  proof (intro bdd_belowI cInf_lower2)
-    show "(f x - f t) / (x - t) \<in> ?F x"
-      using \<open>t \<in> I\<close> \<open>x < t\<close> by auto
-    show "(f x - f t) / (x - t) \<le> (f x - f y) / (x - y)"
-      using \<open>convex_on I f\<close> \<open>x \<in> I\<close> \<open>y \<in> I\<close> \<open>x < t\<close> \<open>t < y\<close>
-      by (rule convex_on_diff)
-  next
-    fix y
-    assume "y \<in> ?F x"
-    with order_trans[OF convex_on_diff[OF \<open>convex_on I f\<close> \<open>K \<in> I\<close> _ \<open>K < x\<close> _]]
-    show "(f K - f x) / (K - x) \<le> y" by auto
-  qed
-  then show ?thesis
-    using \<open>x < y\<close> by (simp add: field_simps)
-next
-  assume "y < x"
-  moreover
-  have "open (interior I)" by auto
-  from openE[OF this \<open>x \<in> interior I\<close>]
-  obtain e where e: "0 < e" "ball x e \<subseteq> interior I" .
-  moreover define t where "t = x + e / 2"
-  ultimately have "x < t" "t \<in> ball x e"
-    by (auto simp: dist_real_def field_simps)
-  with \<open>x \<in> interior I\<close> e interior_subset[of I] have "t \<in> I" "x \<in> I" by auto
-
-  have "(f x - f y) / (x - y) \<le> Inf (?F x)"
-  proof (rule cInf_greatest)
-    have "(f x - f y) / (x - y) = (f y - f x) / (y - x)"
-      using \<open>y < x\<close> by (auto simp: field_simps)
-    also
-    fix z
-    assume "z \<in> ?F x"
-    with order_trans[OF convex_on_diff[OF \<open>convex_on I f\<close> \<open>y \<in> I\<close> _ \<open>y < x\<close>]]
-    have "(f y - f x) / (y - x) \<le> z"
-      by auto
-    finally show "(f x - f y) / (x - y) \<le> z" .
-  next
-    have "open (interior I)" by auto
-    from openE[OF this \<open>x \<in> interior I\<close>]
-    obtain e where e: "0 < e" "ball x e \<subseteq> interior I" .
-    then have "x + e / 2 \<in> ball x e"
-      by (auto simp: dist_real_def)
-    with e interior_subset[of I] have "x + e / 2 \<in> {x<..} \<inter> I"
-      by auto
-    then show "?F x \<noteq> {}"
-      by blast
-  qed
-  then show ?thesis
-    using \<open>y < x\<close> by (simp add: field_simps)
-qed simp
-
-subsection\<open>Explicit formulas for interior and relative interior of convex hull\<close>
-
-lemma interior_atLeastAtMost [simp]:
-  fixes a::real shows "interior {a..b} = {a<..<b}"
-  using interior_cbox [of a b] by auto
-
-lemma interior_atLeastLessThan [simp]:
-  fixes a::real shows "interior {a..<b} = {a<..<b}"
-  by (metis atLeastLessThan_def greaterThanLessThan_def interior_atLeastAtMost interior_Int interior_interior interior_real_semiline)
-
-lemma interior_lessThanAtMost [simp]:
-  fixes a::real shows "interior {a<..b} = {a<..<b}"
-  by (metis atLeastAtMost_def greaterThanAtMost_def interior_atLeastAtMost interior_Int
-            interior_interior interior_real_semiline)
-
-lemma at_within_closed_interval:
-    fixes x::real
-    shows "a < x \<Longrightarrow> x < b \<Longrightarrow> (at x within {a..b}) = at x"
-  by (metis at_within_interior greaterThanLessThan_iff interior_atLeastAtMost)
-
-lemma affine_independent_convex_affine_hull:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~affine_dependent s" "t \<subseteq> s"
-    shows "convex hull t = affine hull t \<inter> convex hull s"
-proof -
-  have fin: "finite s" "finite t" using assms aff_independent_finite finite_subset by auto
-    { fix u v x
-      assume uv: "sum u t = 1" "\<forall>x\<in>s. 0 \<le> v x" "sum v s = 1"
-                 "(\<Sum>x\<in>s. v x *\<^sub>R x) = (\<Sum>v\<in>t. u v *\<^sub>R v)" "x \<in> t"
-      then have s: "s = (s - t) \<union> t" \<comment>\<open>split into separate cases\<close>
-        using assms by auto
-      have [simp]: "(\<Sum>x\<in>t. v x *\<^sub>R x) + (\<Sum>x\<in>s - t. v x *\<^sub>R x) = (\<Sum>x\<in>t. u x *\<^sub>R x)"
-                   "sum v t + sum v (s - t) = 1"
-        using uv fin s
-        by (auto simp: sum.union_disjoint [symmetric] Un_commute)
-      have "(\<Sum>x\<in>s. if x \<in> t then v x - u x else v x) = 0"
-           "(\<Sum>x\<in>s. (if x \<in> t then v x - u x else v x) *\<^sub>R x) = 0"
-        using uv fin
-        by (subst s, subst sum.union_disjoint, auto simp: algebra_simps sum_subtractf)+
-    } note [simp] = this
-  have "convex hull t \<subseteq> affine hull t"
-    using convex_hull_subset_affine_hull by blast
-  moreover have "convex hull t \<subseteq> convex hull s"
-    using assms hull_mono by blast
-  moreover have "affine hull t \<inter> convex hull s \<subseteq> convex hull t"
-    using assms
-    apply (simp add: convex_hull_finite affine_hull_finite fin affine_dependent_explicit)
-    apply (drule_tac x=s in spec)
-    apply (auto simp: fin)
-    apply (rule_tac x=u in exI)
-    apply (rename_tac v)
-    apply (drule_tac x="\<lambda>x. if x \<in> t then v x - u x else v x" in spec)
-    apply (force)+
-    done
-  ultimately show ?thesis
-    by blast
-qed
-
-lemma affine_independent_span_eq:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~affine_dependent s" "card s = Suc (DIM ('a))"
-    shows "affine hull s = UNIV"
-proof (cases "s = {}")
-  case True then show ?thesis
-    using assms by simp
-next
-  case False
-    then obtain a t where t: "a \<notin> t" "s = insert a t"
-      by blast
-    then have fin: "finite t" using assms
-      by (metis finite_insert aff_independent_finite)
-    show ?thesis
-    using assms t fin
-      apply (simp add: affine_dependent_iff_dependent affine_hull_insert_span_gen)
-      apply (rule subset_antisym)
-      apply force
-      apply (rule Fun.vimage_subsetD)
-      apply (metis add.commute diff_add_cancel surj_def)
-      apply (rule card_ge_dim_independent)
-      apply (auto simp: card_image inj_on_def dim_subset_UNIV)
-      done
-qed
-
-lemma affine_independent_span_gt:
-  fixes s :: "'a::euclidean_space set"
-  assumes ind: "~ affine_dependent s" and dim: "DIM ('a) < card s"
-    shows "affine hull s = UNIV"
-  apply (rule affine_independent_span_eq [OF ind])
-  apply (rule antisym)
-  using assms
-  apply auto
-  apply (metis add_2_eq_Suc' not_less_eq_eq affine_dependent_biggerset aff_independent_finite)
-  done
-
-lemma empty_interior_affine_hull:
-  fixes s :: "'a::euclidean_space set"
-  assumes "finite s" and dim: "card s \<le> DIM ('a)"
-    shows "interior(affine hull s) = {}"
-  using assms
-  apply (induct s rule: finite_induct)
-  apply (simp_all add:  affine_dependent_iff_dependent affine_hull_insert_span_gen interior_translation)
-  apply (rule empty_interior_lowdim)
-  apply (simp add: affine_dependent_iff_dependent affine_hull_insert_span_gen)
-  apply (metis Suc_le_lessD not_less order_trans card_image_le finite_imageI dim_le_card)
-  done
-
-lemma empty_interior_convex_hull:
-  fixes s :: "'a::euclidean_space set"
-  assumes "finite s" and dim: "card s \<le> DIM ('a)"
-    shows "interior(convex hull s) = {}"
-  by (metis Diff_empty Diff_eq_empty_iff convex_hull_subset_affine_hull
-            interior_mono empty_interior_affine_hull [OF assms])
-
-lemma explicit_subset_rel_interior_convex_hull:
-  fixes s :: "'a::euclidean_space set"
-  shows "finite s
-         \<Longrightarrow> {y. \<exists>u. (\<forall>x \<in> s. 0 < u x \<and> u x < 1) \<and> sum u s = 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y}
-             \<subseteq> rel_interior (convex hull s)"
-  by (force simp add:  rel_interior_convex_hull_union [where S="\<lambda>x. {x}" and I=s, simplified])
-
-lemma explicit_subset_rel_interior_convex_hull_minimal:
-  fixes s :: "'a::euclidean_space set"
-  shows "finite s
-         \<Longrightarrow> {y. \<exists>u. (\<forall>x \<in> s. 0 < u x) \<and> sum u s = 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y}
-             \<subseteq> rel_interior (convex hull s)"
-  by (force simp add:  rel_interior_convex_hull_union [where S="\<lambda>x. {x}" and I=s, simplified])
-
-lemma rel_interior_convex_hull_explicit:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "rel_interior(convex hull s) =
-         {y. \<exists>u. (\<forall>x \<in> s. 0 < u x) \<and> sum u s = 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y}"
-         (is "?lhs = ?rhs")
-proof
-  show "?rhs \<le> ?lhs"
-    by (simp add: aff_independent_finite explicit_subset_rel_interior_convex_hull_minimal assms)
-next
-  show "?lhs \<le> ?rhs"
-  proof (cases "\<exists>a. s = {a}")
-    case True then show "?lhs \<le> ?rhs"
-      by force
-  next
-    case False
-    have fs: "finite s"
-      using assms by (simp add: aff_independent_finite)
-    { fix a b and d::real
-      assume ab: "a \<in> s" "b \<in> s" "a \<noteq> b"
-      then have s: "s = (s - {a,b}) \<union> {a,b}" \<comment>\<open>split into separate cases\<close>
-        by auto
-      have "(\<Sum>x\<in>s. if x = a then - d else if x = b then d else 0) = 0"
-           "(\<Sum>x\<in>s. (if x = a then - d else if x = b then d else 0) *\<^sub>R x) = d *\<^sub>R b - d *\<^sub>R a"
-        using ab fs
-        by (subst s, subst sum.union_disjoint, auto)+
-    } note [simp] = this
-    { fix y
-      assume y: "y \<in> convex hull s" "y \<notin> ?rhs"
-      { fix u T a
-        assume ua: "\<forall>x\<in>s. 0 \<le> u x" "sum u s = 1" "\<not> 0 < u a" "a \<in> s"
-           and yT: "y = (\<Sum>x\<in>s. u x *\<^sub>R x)" "y \<in> T" "open T"
-           and sb: "T \<inter> affine hull s \<subseteq> {w. \<exists>u. (\<forall>x\<in>s. 0 \<le> u x) \<and> sum u s = 1 \<and> (\<Sum>x\<in>s. u x *\<^sub>R x) = w}"
-        have ua0: "u a = 0"
-          using ua by auto
-        obtain b where b: "b\<in>s" "a \<noteq> b"
-          using ua False by auto
-        obtain e where e: "0 < e" "ball (\<Sum>x\<in>s. u x *\<^sub>R x) e \<subseteq> T"
-          using yT by (auto elim: openE)
-        with b obtain d where d: "0 < d" "norm(d *\<^sub>R (a-b)) < e"
-          by (auto intro: that [of "e / 2 / norm(a-b)"])
-        have "(\<Sum>x\<in>s. u x *\<^sub>R x) \<in> affine hull s"
-          using yT y by (metis affine_hull_convex_hull hull_redundant_eq)
-        then have "(\<Sum>x\<in>s. u x *\<^sub>R x) - d *\<^sub>R (a - b) \<in> affine hull s"
-          using ua b by (auto simp: hull_inc intro: mem_affine_3_minus2)
-        then have "y - d *\<^sub>R (a - b) \<in> T \<inter> affine hull s"
-          using d e yT by auto
-        then obtain v where "\<forall>x\<in>s. 0 \<le> v x"
-                            "sum v s = 1"
-                            "(\<Sum>x\<in>s. v x *\<^sub>R x) = (\<Sum>x\<in>s. u x *\<^sub>R x) - d *\<^sub>R (a - b)"
-          using subsetD [OF sb] yT
-          by auto
-        then have False
-          using assms
-          apply (simp add: affine_dependent_explicit_finite fs)
-          apply (drule_tac x="\<lambda>x. (v x - u x) - (if x = a then -d else if x = b then d else 0)" in spec)
-          using ua b d
-          apply (auto simp: algebra_simps sum_subtractf sum.distrib)
-          done
-      } note * = this
-      have "y \<notin> rel_interior (convex hull s)"
-        using y
-        apply (simp add: mem_rel_interior affine_hull_convex_hull)
-        apply (auto simp: convex_hull_finite [OF fs])
-        apply (drule_tac x=u in spec)
-        apply (auto intro: *)
-        done
-    } with rel_interior_subset show "?lhs \<le> ?rhs"
-      by blast
-  qed
-qed
-
-lemma interior_convex_hull_explicit_minimal:
-  fixes s :: "'a::euclidean_space set"
-  shows
-   "~ affine_dependent s
-        ==> interior(convex hull s) =
-             (if card(s) \<le> DIM('a) then {}
-              else {y. \<exists>u. (\<forall>x \<in> s. 0 < u x) \<and> sum u s = 1 \<and> (\<Sum>x\<in>s. u x *\<^sub>R x) = y})"
-  apply (simp add: aff_independent_finite empty_interior_convex_hull, clarify)
-  apply (rule trans [of _ "rel_interior(convex hull s)"])
-  apply (simp add: affine_hull_convex_hull affine_independent_span_gt rel_interior_interior)
-  by (simp add: rel_interior_convex_hull_explicit)
-
-lemma interior_convex_hull_explicit:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows
-   "interior(convex hull s) =
-             (if card(s) \<le> DIM('a) then {}
-              else {y. \<exists>u. (\<forall>x \<in> s. 0 < u x \<and> u x < 1) \<and> sum u s = 1 \<and> (\<Sum>x\<in>s. u x *\<^sub>R x) = y})"
-proof -
-  { fix u :: "'a \<Rightarrow> real" and a
-    assume "card Basis < card s" and u: "\<And>x. x\<in>s \<Longrightarrow> 0 < u x" "sum u s = 1" and a: "a \<in> s"
-    then have cs: "Suc 0 < card s"
-      by (metis DIM_positive less_trans_Suc)
-    obtain b where b: "b \<in> s" "a \<noteq> b"
-    proof (cases "s \<le> {a}")
-      case True
-      then show thesis
-        using cs subset_singletonD by fastforce
-    next
-      case False
-      then show thesis
-      by (blast intro: that)
-    qed
-    have "u a + u b \<le> sum u {a,b}"
-      using a b by simp
-    also have "... \<le> sum u s"
-      apply (rule Groups_Big.sum_mono2)
-      using a b u
-      apply (auto simp: less_imp_le aff_independent_finite assms)
-      done
-    finally have "u a < 1"
-      using \<open>b \<in> s\<close> u by fastforce
-  } note [simp] = this
-  show ?thesis
-    using assms
-    apply (auto simp: interior_convex_hull_explicit_minimal)
-    apply (rule_tac x=u in exI)
-    apply (auto simp: not_le)
-    done
-qed
-
-lemma interior_closed_segment_ge2:
-  fixes a :: "'a::euclidean_space"
-  assumes "2 \<le> DIM('a)"
-    shows  "interior(closed_segment a b) = {}"
-using assms unfolding segment_convex_hull
-proof -
-  have "card {a, b} \<le> DIM('a)"
-    using assms
-    by (simp add: card_insert_if linear not_less_eq_eq numeral_2_eq_2)
-  then show "interior (convex hull {a, b}) = {}"
-    by (metis empty_interior_convex_hull finite.insertI finite.emptyI)
-qed
-
-lemma interior_open_segment:
-  fixes a :: "'a::euclidean_space"
-  shows  "interior(open_segment a b) =
-                 (if 2 \<le> DIM('a) then {} else open_segment a b)"
-proof (simp add: not_le, intro conjI impI)
-  assume "2 \<le> DIM('a)"
-  then show "interior (open_segment a b) = {}"
-    apply (simp add: segment_convex_hull open_segment_def)
-    apply (metis Diff_subset interior_mono segment_convex_hull subset_empty interior_closed_segment_ge2)
-    done
-next
-  assume le2: "DIM('a) < 2"
-  show "interior (open_segment a b) = open_segment a b"
-  proof (cases "a = b")
-    case True then show ?thesis by auto
-  next
-    case False
-    with le2 have "affine hull (open_segment a b) = UNIV"
-      apply simp
-      apply (rule affine_independent_span_gt)
-      apply (simp_all add: affine_dependent_def insert_Diff_if)
-      done
-    then show "interior (open_segment a b) = open_segment a b"
-      using rel_interior_interior rel_interior_open_segment by blast
-  qed
-qed
-
-lemma interior_closed_segment:
-  fixes a :: "'a::euclidean_space"
-  shows "interior(closed_segment a b) =
-                 (if 2 \<le> DIM('a) then {} else open_segment a b)"
-proof (cases "a = b")
-  case True then show ?thesis by simp
-next
-  case False
-  then have "closure (open_segment a b) = closed_segment a b"
-    by simp
-  then show ?thesis
-    by (metis (no_types) convex_interior_closure convex_open_segment interior_open_segment)
-qed
-
-lemmas interior_segment = interior_closed_segment interior_open_segment
-
-lemma closed_segment_eq [simp]:
-  fixes a :: "'a::euclidean_space"
-  shows "closed_segment a b = closed_segment c d \<longleftrightarrow> {a,b} = {c,d}"
-proof
-  assume abcd: "closed_segment a b = closed_segment c d"
-  show "{a,b} = {c,d}"
-  proof (cases "a=b \<or> c=d")
-    case True with abcd show ?thesis by force
-  next
-    case False
-    then have neq: "a \<noteq> b \<and> c \<noteq> d" by force
-    have *: "closed_segment c d - {a, b} = rel_interior (closed_segment c d)"
-      using neq abcd by (metis (no_types) open_segment_def rel_interior_closed_segment)
-    have "b \<in> {c, d}"
-    proof -
-      have "insert b (closed_segment c d) = closed_segment c d"
-        using abcd by blast
-      then show ?thesis
-        by (metis DiffD2 Diff_insert2 False * insertI1 insert_Diff_if open_segment_def rel_interior_closed_segment)
-    qed
-    moreover have "a \<in> {c, d}"
-      by (metis Diff_iff False * abcd ends_in_segment(1) insertI1 open_segment_def rel_interior_closed_segment)
-    ultimately show "{a, b} = {c, d}"
-      using neq by fastforce
-  qed
-next
-  assume "{a,b} = {c,d}"
-  then show "closed_segment a b = closed_segment c d"
-    by (simp add: segment_convex_hull)
-qed
-
-lemma closed_open_segment_eq [simp]:
-  fixes a :: "'a::euclidean_space"
-  shows "closed_segment a b \<noteq> open_segment c d"
-by (metis DiffE closed_segment_neq_empty closure_closed_segment closure_open_segment ends_in_segment(1) insertI1 open_segment_def)
-
-lemma open_closed_segment_eq [simp]:
-  fixes a :: "'a::euclidean_space"
-  shows "open_segment a b \<noteq> closed_segment c d"
-using closed_open_segment_eq by blast
-
-lemma open_segment_eq [simp]:
-  fixes a :: "'a::euclidean_space"
-  shows "open_segment a b = open_segment c d \<longleftrightarrow> a = b \<and> c = d \<or> {a,b} = {c,d}"
-        (is "?lhs = ?rhs")
-proof
-  assume abcd: ?lhs
-  show ?rhs
-  proof (cases "a=b \<or> c=d")
-    case True with abcd show ?thesis
-      using finite_open_segment by fastforce
-  next
-    case False
-    then have a2: "a \<noteq> b \<and> c \<noteq> d" by force
-    with abcd show ?rhs
-      unfolding open_segment_def
-      by (metis (no_types) abcd closed_segment_eq closure_open_segment)
-  qed
-next
-  assume ?rhs
-  then show ?lhs
-    by (metis Diff_cancel convex_hull_singleton insert_absorb2 open_segment_def segment_convex_hull)
-qed
-
-subsection\<open>Similar results for closure and (relative or absolute) frontier.\<close>
-
-lemma closure_convex_hull [simp]:
-  fixes s :: "'a::euclidean_space set"
-  shows "compact s ==> closure(convex hull s) = convex hull s"
-  by (simp add: compact_imp_closed compact_convex_hull)
-
-lemma rel_frontier_convex_hull_explicit:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "rel_frontier(convex hull s) =
-         {y. \<exists>u. (\<forall>x \<in> s. 0 \<le> u x) \<and> (\<exists>x \<in> s. u x = 0) \<and> sum u s = 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y}"
-proof -
-  have fs: "finite s"
-    using assms by (simp add: aff_independent_finite)
-  show ?thesis
-    apply (simp add: rel_frontier_def finite_imp_compact rel_interior_convex_hull_explicit assms fs)
-    apply (auto simp: convex_hull_finite fs)
-    apply (drule_tac x=u in spec)
-    apply (rule_tac x=u in exI)
-    apply force
-    apply (rename_tac v)
-    apply (rule notE [OF assms])
-    apply (simp add: affine_dependent_explicit)
-    apply (rule_tac x=s in exI)
-    apply (auto simp: fs)
-    apply (rule_tac x = "\<lambda>x. u x - v x" in exI)
-    apply (force simp: sum_subtractf scaleR_diff_left)
-    done
-qed
-
-lemma frontier_convex_hull_explicit:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "frontier(convex hull s) =
-         {y. \<exists>u. (\<forall>x \<in> s. 0 \<le> u x) \<and> (DIM ('a) < card s \<longrightarrow> (\<exists>x \<in> s. u x = 0)) \<and>
-             sum u s = 1 \<and> sum (\<lambda>x. u x *\<^sub>R x) s = y}"
-proof -
-  have fs: "finite s"
-    using assms by (simp add: aff_independent_finite)
-  show ?thesis
-  proof (cases "DIM ('a) < card s")
-    case True
-    with assms fs show ?thesis
-      by (simp add: rel_frontier_def frontier_def rel_frontier_convex_hull_explicit [symmetric]
-                    interior_convex_hull_explicit_minimal rel_interior_convex_hull_explicit)
-  next
-    case False
-    then have "card s \<le> DIM ('a)"
-      by linarith
-    then show ?thesis
-      using assms fs
-      apply (simp add: frontier_def interior_convex_hull_explicit finite_imp_compact)
-      apply (simp add: convex_hull_finite)
-      done
-  qed
-qed
-
-lemma rel_frontier_convex_hull_cases:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "rel_frontier(convex hull s) = \<Union>{convex hull (s - {x}) |x. x \<in> s}"
-proof -
-  have fs: "finite s"
-    using assms by (simp add: aff_independent_finite)
-  { fix u a
-  have "\<forall>x\<in>s. 0 \<le> u x \<Longrightarrow> a \<in> s \<Longrightarrow> u a = 0 \<Longrightarrow> sum u s = 1 \<Longrightarrow>
-            \<exists>x v. x \<in> s \<and>
-                  (\<forall>x\<in>s - {x}. 0 \<le> v x) \<and>
-                      sum v (s - {x}) = 1 \<and> (\<Sum>x\<in>s - {x}. v x *\<^sub>R x) = (\<Sum>x\<in>s. u x *\<^sub>R x)"
-    apply (rule_tac x=a in exI)
-    apply (rule_tac x=u in exI)
-    apply (simp add: Groups_Big.sum_diff1 fs)
-    done }
-  moreover
-  { fix a u
-    have "a \<in> s \<Longrightarrow> \<forall>x\<in>s - {a}. 0 \<le> u x \<Longrightarrow> sum u (s - {a}) = 1 \<Longrightarrow>
-            \<exists>v. (\<forall>x\<in>s. 0 \<le> v x) \<and>
-                 (\<exists>x\<in>s. v x = 0) \<and> sum v s = 1 \<and> (\<Sum>x\<in>s. v x *\<^sub>R x) = (\<Sum>x\<in>s - {a}. u x *\<^sub>R x)"
-    apply (rule_tac x="\<lambda>x. if x = a then 0 else u x" in exI)
-    apply (auto simp: sum.If_cases Diff_eq if_smult fs)
-    done }
-  ultimately show ?thesis
-    using assms
-    apply (simp add: rel_frontier_convex_hull_explicit)
-    apply (simp add: convex_hull_finite fs Union_SetCompr_eq, auto)
-    done
-qed
-
-lemma frontier_convex_hull_eq_rel_frontier:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "frontier(convex hull s) =
-           (if card s \<le> DIM ('a) then convex hull s else rel_frontier(convex hull s))"
-  using assms
-  unfolding rel_frontier_def frontier_def
-  by (simp add: affine_independent_span_gt rel_interior_interior
-                finite_imp_compact empty_interior_convex_hull aff_independent_finite)
-
-lemma frontier_convex_hull_cases:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ affine_dependent s"
-  shows "frontier(convex hull s) =
-           (if card s \<le> DIM ('a) then convex hull s else \<Union>{convex hull (s - {x}) |x. x \<in> s})"
-by (simp add: assms frontier_convex_hull_eq_rel_frontier rel_frontier_convex_hull_cases)
-
-lemma in_frontier_convex_hull:
-  fixes s :: "'a::euclidean_space set"
-  assumes "finite s" "card s \<le> Suc (DIM ('a))" "x \<in> s"
-  shows   "x \<in> frontier(convex hull s)"
-proof (cases "affine_dependent s")
-  case True
-  with assms show ?thesis
-    apply (auto simp: affine_dependent_def frontier_def finite_imp_compact hull_inc)
-    by (metis card.insert_remove convex_hull_subset_affine_hull empty_interior_affine_hull finite_Diff hull_redundant insert_Diff insert_Diff_single insert_not_empty interior_mono not_less_eq_eq subset_empty)
-next
-  case False
-  { assume "card s = Suc (card Basis)"
-    then have cs: "Suc 0 < card s"
-      by (simp add: DIM_positive)
-    with subset_singletonD have "\<exists>y \<in> s. y \<noteq> x"
-      by (cases "s \<le> {x}") fastforce+
-  } note [dest!] = this
-  show ?thesis using assms
-    unfolding frontier_convex_hull_cases [OF False] Union_SetCompr_eq
-    by (auto simp: le_Suc_eq hull_inc)
-qed
-
-lemma not_in_interior_convex_hull:
-  fixes s :: "'a::euclidean_space set"
-  assumes "finite s" "card s \<le> Suc (DIM ('a))" "x \<in> s"
-  shows   "x \<notin> interior(convex hull s)"
-using in_frontier_convex_hull [OF assms]
-by (metis Diff_iff frontier_def)
-
-lemma interior_convex_hull_eq_empty:
-  fixes s :: "'a::euclidean_space set"
-  assumes "card s = Suc (DIM ('a))"
-  shows   "interior(convex hull s) = {} \<longleftrightarrow> affine_dependent s"
-proof -
-  { fix a b
-    assume ab: "a \<in> interior (convex hull s)" "b \<in> s" "b \<in> affine hull (s - {b})"
-    then have "interior(affine hull s) = {}" using assms
-      by (metis DIM_positive One_nat_def Suc_mono card.remove card_infinite empty_interior_affine_hull eq_iff hull_redundant insert_Diff not_less zero_le_one)
-    then have False using ab
-      by (metis convex_hull_subset_affine_hull equals0D interior_mono subset_eq)
-  } then
-  show ?thesis
-    using assms
-    apply auto
-    apply (metis UNIV_I affine_hull_convex_hull affine_hull_empty affine_independent_span_eq convex_convex_hull empty_iff rel_interior_interior rel_interior_same_affine_hull)
-    apply (auto simp: affine_dependent_def)
-    done
-qed
-
-
-subsection \<open>Coplanarity, and collinearity in terms of affine hull\<close>
-
-definition coplanar  where
-   "coplanar s \<equiv> \<exists>u v w. s \<subseteq> affine hull {u,v,w}"
-
-lemma collinear_affine_hull:
-  "collinear s \<longleftrightarrow> (\<exists>u v. s \<subseteq> affine hull {u,v})"
-proof (cases "s={}")
-  case True then show ?thesis
-    by simp
-next
-  case False
-  then obtain x where x: "x \<in> s" by auto
-  { fix u
-    assume *: "\<And>x y. \<lbrakk>x\<in>s; y\<in>s\<rbrakk> \<Longrightarrow> \<exists>c. x - y = c *\<^sub>R u"
-    have "\<exists>u v. s \<subseteq> {a *\<^sub>R u + b *\<^sub>R v |a b. a + b = 1}"
-      apply (rule_tac x=x in exI)
-      apply (rule_tac x="x+u" in exI, clarify)
-      apply (erule exE [OF * [OF x]])
-      apply (rename_tac c)
-      apply (rule_tac x="1+c" in exI)
-      apply (rule_tac x="-c" in exI)
-      apply (simp add: algebra_simps)
-      done
-  } moreover
-  { fix u v x y
-    assume *: "s \<subseteq> {a *\<^sub>R u + b *\<^sub>R v |a b. a + b = 1}"
-    have "x\<in>s \<Longrightarrow> y\<in>s \<Longrightarrow> \<exists>c. x - y = c *\<^sub>R (v-u)"
-      apply (drule subsetD [OF *])+
-      apply simp
-      apply clarify
-      apply (rename_tac r1 r2)
-      apply (rule_tac x="r1-r2" in exI)
-      apply (simp add: algebra_simps)
-      apply (metis scaleR_left.add)
-      done
-  } ultimately
-  show ?thesis
-  unfolding collinear_def affine_hull_2
-    by blast
-qed
-
-lemma collinear_closed_segment [simp]: "collinear (closed_segment a b)"
-by (metis affine_hull_convex_hull collinear_affine_hull hull_subset segment_convex_hull)
-
-lemma collinear_open_segment [simp]: "collinear (open_segment a b)"
-  unfolding open_segment_def
-  by (metis convex_hull_subset_affine_hull segment_convex_hull dual_order.trans
-    convex_hull_subset_affine_hull Diff_subset collinear_affine_hull)
-
-lemma collinear_between_cases:
-  fixes c :: "'a::euclidean_space"
-  shows "collinear {a,b,c} \<longleftrightarrow> between (b,c) a \<or> between (c,a) b \<or> between (a,b) c"
-         (is "?lhs = ?rhs")
-proof
-  assume ?lhs
-  then obtain u v where uv: "\<And>x. x \<in> {a, b, c} \<Longrightarrow> \<exists>c. x = u + c *\<^sub>R v"
-    by (auto simp: collinear_alt)
-  show ?rhs
-    using uv [of a] uv [of b] uv [of c] by (auto simp: between_1)
-next
-  assume ?rhs
-  then show ?lhs
-    unfolding between_mem_convex_hull
-    by (metis (no_types, hide_lams) collinear_closed_segment collinear_subset hull_redundant hull_subset insert_commute segment_convex_hull)
-qed
-
-
-lemma subset_continuous_image_segment_1:
-  fixes f :: "'a::euclidean_space \<Rightarrow> real"
-  assumes "continuous_on (closed_segment a b) f"
-  shows "closed_segment (f a) (f b) \<subseteq> image f (closed_segment a b)"
-by (metis connected_segment convex_contains_segment ends_in_segment imageI
-           is_interval_connected_1 is_interval_convex connected_continuous_image [OF assms])
-
-lemma continuous_injective_image_segment_1:
-  fixes f :: "'a::euclidean_space \<Rightarrow> real"
-  assumes contf: "continuous_on (closed_segment a b) f"
-      and injf: "inj_on f (closed_segment a b)"
-  shows "f ` (closed_segment a b) = closed_segment (f a) (f b)"
-proof
-  show "closed_segment (f a) (f b) \<subseteq> f ` closed_segment a b"
-    by (metis subset_continuous_image_segment_1 contf)
-  show "f ` closed_segment a b \<subseteq> closed_segment (f a) (f b)"
-  proof (cases "a = b")
-    case True
-    then show ?thesis by auto
-  next
-    case False
-    then have fnot: "f a \<noteq> f b"
-      using inj_onD injf by fastforce
-    moreover
-    have "f a \<notin> open_segment (f c) (f b)" if c: "c \<in> closed_segment a b" for c
-    proof (clarsimp simp add: open_segment_def)
-      assume fa: "f a \<in> closed_segment (f c) (f b)"
-      moreover have "closed_segment (f c) (f b) \<subseteq> f ` closed_segment c b"
-        by (meson closed_segment_subset contf continuous_on_subset convex_closed_segment ends_in_segment(2) subset_continuous_image_segment_1 that)
-      ultimately have "f a \<in> f ` closed_segment c b"
-        by blast
-      then have a: "a \<in> closed_segment c b"
-        by (meson ends_in_segment inj_on_image_mem_iff_alt injf subset_closed_segment that)
-      have cb: "closed_segment c b \<subseteq> closed_segment a b"
-        by (simp add: closed_segment_subset that)
-      show "f a = f c"
-      proof (rule between_antisym)
-        show "between (f c, f b) (f a)"
-          by (simp add: between_mem_segment fa)
-        show "between (f a, f b) (f c)"
-          by (metis a cb between_antisym between_mem_segment between_triv1 subset_iff)
-      qed
-    qed
-    moreover
-    have "f b \<notin> open_segment (f a) (f c)" if c: "c \<in> closed_segment a b" for c
-    proof (clarsimp simp add: open_segment_def fnot eq_commute)
-      assume fb: "f b \<in> closed_segment (f a) (f c)"
-      moreover have "closed_segment (f a) (f c) \<subseteq> f ` closed_segment a c"
-        by (meson contf continuous_on_subset ends_in_segment(1) subset_closed_segment subset_continuous_image_segment_1 that)
-      ultimately have "f b \<in> f ` closed_segment a c"
-        by blast
-      then have b: "b \<in> closed_segment a c"
-        by (meson ends_in_segment inj_on_image_mem_iff_alt injf subset_closed_segment that)
-      have ca: "closed_segment a c \<subseteq> closed_segment a b"
-        by (simp add: closed_segment_subset that)
-      show "f b = f c"
-      proof (rule between_antisym)
-        show "between (f c, f a) (f b)"
-          by (simp add: between_commute between_mem_segment fb)
-        show "between (f b, f a) (f c)"
-          by (metis b between_antisym between_commute between_mem_segment between_triv2 that)
-      qed
-    qed
-    ultimately show ?thesis
-      by (force simp: closed_segment_eq_real_ivl open_segment_eq_real_ivl split: if_split_asm)
-  qed
-qed
-
-lemma continuous_injective_image_open_segment_1:
-  fixes f :: "'a::euclidean_space \<Rightarrow> real"
-  assumes contf: "continuous_on (closed_segment a b) f"
-      and injf: "inj_on f (closed_segment a b)"
-    shows "f ` (open_segment a b) = open_segment (f a) (f b)"
-proof -
-  have "f ` (open_segment a b) = f ` (closed_segment a b) - {f a, f b}"
-    by (metis (no_types, hide_lams) empty_subsetI ends_in_segment image_insert image_is_empty inj_on_image_set_diff injf insert_subset open_segment_def segment_open_subset_closed)
-  also have "... = open_segment (f a) (f b)"
-    using continuous_injective_image_segment_1 [OF assms]
-    by (simp add: open_segment_def inj_on_image_set_diff [OF injf])
-  finally show ?thesis .
-qed
-
-lemma collinear_imp_coplanar:
-  "collinear s ==> coplanar s"
-by (metis collinear_affine_hull coplanar_def insert_absorb2)
-
-lemma collinear_small:
-  assumes "finite s" "card s \<le> 2"
-    shows "collinear s"
-proof -
-  have "card s = 0 \<or> card s = 1 \<or> card s = 2"
-    using assms by linarith
-  then show ?thesis using assms
-    using card_eq_SucD
-    by auto (metis collinear_2 numeral_2_eq_2)
-qed
-
-lemma coplanar_small:
-  assumes "finite s" "card s \<le> 3"
-    shows "coplanar s"
-proof -
-  have "card s \<le> 2 \<or> card s = Suc (Suc (Suc 0))"
-    using assms by linarith
-  then show ?thesis using assms
-    apply safe
-    apply (simp add: collinear_small collinear_imp_coplanar)
-    apply (safe dest!: card_eq_SucD)
-    apply (auto simp: coplanar_def)
-    apply (metis hull_subset insert_subset)
-    done
-qed
-
-lemma coplanar_empty: "coplanar {}"
-  by (simp add: coplanar_small)
-
-lemma coplanar_sing: "coplanar {a}"
-  by (simp add: coplanar_small)
-
-lemma coplanar_2: "coplanar {a,b}"
-  by (auto simp: card_insert_if coplanar_small)
-
-lemma coplanar_3: "coplanar {a,b,c}"
-  by (auto simp: card_insert_if coplanar_small)
-
-lemma collinear_affine_hull_collinear: "collinear(affine hull s) \<longleftrightarrow> collinear s"
-  unfolding collinear_affine_hull
-  by (metis affine_affine_hull subset_hull hull_hull hull_mono)
-
-lemma coplanar_affine_hull_coplanar: "coplanar(affine hull s) \<longleftrightarrow> coplanar s"
-  unfolding coplanar_def
-  by (metis affine_affine_hull subset_hull hull_hull hull_mono)
-
-lemma coplanar_linear_image:
-  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::real_normed_vector"
-  assumes "coplanar s" "linear f" shows "coplanar(f ` s)"
-proof -
-  { fix u v w
-    assume "s \<subseteq> affine hull {u, v, w}"
-    then have "f ` s \<subseteq> f ` (affine hull {u, v, w})"
-      by (simp add: image_mono)
-    then have "f ` s \<subseteq> affine hull (f ` {u, v, w})"
-      by (metis assms(2) linear_conv_bounded_linear affine_hull_linear_image)
-  } then
-  show ?thesis
-    by auto (meson assms(1) coplanar_def)
-qed
-
-lemma coplanar_translation_imp: "coplanar s \<Longrightarrow> coplanar ((\<lambda>x. a + x) ` s)"
-  unfolding coplanar_def
-  apply clarify
-  apply (rule_tac x="u+a" in exI)
-  apply (rule_tac x="v+a" in exI)
-  apply (rule_tac x="w+a" in exI)
-  using affine_hull_translation [of a "{u,v,w}" for u v w]
-  apply (force simp: add.commute)
-  done
-
-lemma coplanar_translation_eq: "coplanar((\<lambda>x. a + x) ` s) \<longleftrightarrow> coplanar s"
-    by (metis (no_types) coplanar_translation_imp translation_galois)
-
-lemma coplanar_linear_image_eq:
-  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space"
-  assumes "linear f" "inj f" shows "coplanar(f ` s) = coplanar s"
-proof
-  assume "coplanar s"
-  then show "coplanar (f ` s)"
-    unfolding coplanar_def
-    using affine_hull_linear_image [of f "{u,v,w}" for u v w]  assms
-    by (meson coplanar_def coplanar_linear_image)
-next
-  obtain g where g: "linear g" "g \<circ> f = id"
-    using linear_injective_left_inverse [OF assms]
-    by blast
-  assume "coplanar (f ` s)"
-  then obtain u v w where "f ` s \<subseteq> affine hull {u, v, w}"
-    by (auto simp: coplanar_def)
-  then have "g ` f ` s \<subseteq> g ` (affine hull {u, v, w})"
-    by blast
-  then have "s \<subseteq> g ` (affine hull {u, v, w})"
-    using g by (simp add: Fun.image_comp)
-  then show "coplanar s"
-    unfolding coplanar_def
-    using affine_hull_linear_image [of g "{u,v,w}" for u v w]  \<open>linear g\<close> linear_conv_bounded_linear
-    by fastforce
-qed
-(*The HOL Light proof is simply
-    MATCH_ACCEPT_TAC(LINEAR_INVARIANT_RULE COPLANAR_LINEAR_IMAGE));;
-*)
-
-lemma coplanar_subset: "\<lbrakk>coplanar t; s \<subseteq> t\<rbrakk> \<Longrightarrow> coplanar s"
-  by (meson coplanar_def order_trans)
-
-lemma affine_hull_3_imp_collinear: "c \<in> affine hull {a,b} \<Longrightarrow> collinear {a,b,c}"
-  by (metis collinear_2 collinear_affine_hull_collinear hull_redundant insert_commute)
-
-lemma collinear_3_imp_in_affine_hull: "\<lbrakk>collinear {a,b,c}; a \<noteq> b\<rbrakk> \<Longrightarrow> c \<in> affine hull {a,b}"
-  unfolding collinear_def
-  apply clarify
-  apply (frule_tac x=b in bspec, blast, drule_tac x=a in bspec, blast, erule exE)
-  apply (drule_tac x=c in bspec, blast, drule_tac x=a in bspec, blast, erule exE)
-  apply (rename_tac y x)
-  apply (simp add: affine_hull_2)
-  apply (rule_tac x="1 - x/y" in exI)
-  apply (simp add: algebra_simps)
-  done
-
-lemma collinear_3_affine_hull:
-  assumes "a \<noteq> b"
-    shows "collinear {a,b,c} \<longleftrightarrow> c \<in> affine hull {a,b}"
-using affine_hull_3_imp_collinear assms collinear_3_imp_in_affine_hull by blast
-
-lemma collinear_3_eq_affine_dependent:
-  "collinear{a,b,c} \<longleftrightarrow> a = b \<or> a = c \<or> b = c \<or> affine_dependent {a,b,c}"
-apply (case_tac "a=b", simp)
-apply (case_tac "a=c")
-apply (simp add: insert_commute)
-apply (case_tac "b=c")
-apply (simp add: insert_commute)
-apply (auto simp: affine_dependent_def collinear_3_affine_hull insert_Diff_if)
-apply (metis collinear_3_affine_hull insert_commute)+
-done
-
-lemma affine_dependent_imp_collinear_3:
-  "affine_dependent {a,b,c} \<Longrightarrow> collinear{a,b,c}"
-by (simp add: collinear_3_eq_affine_dependent)
-
-lemma collinear_3: "NO_MATCH 0 x \<Longrightarrow> collinear {x,y,z} \<longleftrightarrow> collinear {0, x-y, z-y}"
-  by (auto simp add: collinear_def)
-
-lemma collinear_3_expand:
-   "collinear{a,b,c} \<longleftrightarrow> a = c \<or> (\<exists>u. b = u *\<^sub>R a + (1 - u) *\<^sub>R c)"
-proof -
-  have "collinear{a,b,c} = collinear{a,c,b}"
-    by (simp add: insert_commute)
-  also have "... = collinear {0, a - c, b - c}"
-    by (simp add: collinear_3)
-  also have "... \<longleftrightarrow> (a = c \<or> b = c \<or> (\<exists>ca. b - c = ca *\<^sub>R (a - c)))"
-    by (simp add: collinear_lemma)
-  also have "... \<longleftrightarrow> a = c \<or> (\<exists>u. b = u *\<^sub>R a + (1 - u) *\<^sub>R c)"
-    by (cases "a = c \<or> b = c") (auto simp: algebra_simps)
-  finally show ?thesis .
-qed
-
-lemma collinear_aff_dim: "collinear S \<longleftrightarrow> aff_dim S \<le> 1"
-proof
-  assume "collinear S"
-  then obtain u and v :: "'a" where "aff_dim S \<le> aff_dim {u,v}"
-    by (metis \<open>collinear S\<close> aff_dim_affine_hull aff_dim_subset collinear_affine_hull)
-  then show "aff_dim S \<le> 1"
-    using order_trans by fastforce
-next
-  assume "aff_dim S \<le> 1"
-  then have le1: "aff_dim (affine hull S) \<le> 1"
-    by simp
-  obtain B where "B \<subseteq> S" and B: "\<not> affine_dependent B" "affine hull S = affine hull B"
-    using affine_basis_exists [of S] by auto
-  then have "finite B" "card B \<le> 2"
-    using B le1 by (auto simp: affine_independent_iff_card)
-  then have "collinear B"
-    by (rule collinear_small)
-  then show "collinear S"
-    by (metis \<open>affine hull S = affine hull B\<close> collinear_affine_hull_collinear)
-qed
-
-lemma collinear_midpoint: "collinear{a,midpoint a b,b}"
-  apply (auto simp: collinear_3 collinear_lemma)
-  apply (drule_tac x="-1" in spec)
-  apply (simp add: algebra_simps)
-  done
-
-lemma midpoint_collinear:
-  fixes a b c :: "'a::real_normed_vector"
-  assumes "a \<noteq> c"
-    shows "b = midpoint a c \<longleftrightarrow> collinear{a,b,c} \<and> dist a b = dist b c"
-proof -
-  have *: "a - (u *\<^sub>R a + (1 - u) *\<^sub>R c) = (1 - u) *\<^sub>R (a - c)"
-          "u *\<^sub>R a + (1 - u) *\<^sub>R c - c = u *\<^sub>R (a - c)"
-          "\<bar>1 - u\<bar> = \<bar>u\<bar> \<longleftrightarrow> u = 1/2" for u::real
-    by (auto simp: algebra_simps)
-  have "b = midpoint a c \<Longrightarrow> collinear{a,b,c} "
-    using collinear_midpoint by blast
-  moreover have "collinear{a,b,c} \<Longrightarrow> b = midpoint a c \<longleftrightarrow> dist a b = dist b c"
-    apply (auto simp: collinear_3_expand assms dist_midpoint)
-    apply (simp add: dist_norm * assms midpoint_def del: divide_const_simps)
-    apply (simp add: algebra_simps)
-    done
-  ultimately show ?thesis by blast
-qed
-
-lemma between_imp_collinear:
-  fixes x :: "'a :: euclidean_space"
-  assumes "between (a,b) x"
-    shows "collinear {a,x,b}"
-proof (cases "x = a \<or> x = b \<or> a = b")
-  case True with assms show ?thesis
-    by (auto simp: dist_commute)
-next
-  case False with assms show ?thesis
-    apply (auto simp: collinear_3 collinear_lemma between_norm)
-    apply (drule_tac x="-(norm(b - x) / norm(x - a))" in spec)
-    apply (simp add: vector_add_divide_simps eq_vector_fraction_iff real_vector.scale_minus_right [symmetric])
-    done
-qed
-
-lemma midpoint_between:
-  fixes a b :: "'a::euclidean_space"
-  shows "b = midpoint a c \<longleftrightarrow> between (a,c) b \<and> dist a b = dist b c"
-proof (cases "a = c")
-  case True then show ?thesis
-    by (auto simp: dist_commute)
-next
-  case False
-  show ?thesis
-    apply (rule iffI)
-    apply (simp add: between_midpoint(1) dist_midpoint)
-    using False between_imp_collinear midpoint_collinear by blast
-qed
-
-lemma collinear_triples:
-  assumes "a \<noteq> b"
-    shows "collinear(insert a (insert b S)) \<longleftrightarrow> (\<forall>x \<in> S. collinear{a,b,x})"
-          (is "?lhs = ?rhs")
-proof safe
-  fix x
-  assume ?lhs and "x \<in> S"
-  then show "collinear {a, b, x}"
-    using collinear_subset by force
-next
-  assume ?rhs
-  then have "\<forall>x \<in> S. collinear{a,x,b}"
-    by (simp add: insert_commute)
-  then have *: "\<exists>u. x = u *\<^sub>R a + (1 - u) *\<^sub>R b" if "x \<in> (insert a (insert b S))" for x
-    using that assms collinear_3_expand by fastforce+
-  show ?lhs
-    unfolding collinear_def
-    apply (rule_tac x="b-a" in exI)
-    apply (clarify dest!: *)
-    by (metis (no_types, hide_lams) add.commute diff_add_cancel diff_diff_eq2 real_vector.scale_right_diff_distrib scaleR_left.diff)
-qed
-
-lemma collinear_4_3:
-  assumes "a \<noteq> b"
-    shows "collinear {a,b,c,d} \<longleftrightarrow> collinear{a,b,c} \<and> collinear{a,b,d}"
-  using collinear_triples [OF assms, of "{c,d}"] by (force simp:)
-
-lemma collinear_3_trans:
-  assumes "collinear{a,b,c}" "collinear{b,c,d}" "b \<noteq> c"
-    shows "collinear{a,b,d}"
-proof -
-  have "collinear{b,c,a,d}"
-    by (metis (full_types) assms collinear_4_3 insert_commute)
-  then show ?thesis
-    by (simp add: collinear_subset)
-qed
-
-lemma affine_hull_eq_empty [simp]: "affine hull S = {} \<longleftrightarrow> S = {}"
-  using affine_hull_nonempty by blast
-
-lemma affine_hull_2_alt:
-  fixes a b :: "'a::real_vector"
-  shows "affine hull {a,b} = range (\<lambda>u. a + u *\<^sub>R (b - a))"
-apply (simp add: affine_hull_2, safe)
-apply (rule_tac x=v in image_eqI)
-apply (simp add: algebra_simps)
-apply (metis scaleR_add_left scaleR_one, simp)
-apply (rule_tac x="1-u" in exI)
-apply (simp add: algebra_simps)
-done
-
-lemma interior_convex_hull_3_minimal:
-  fixes a :: "'a::euclidean_space"
-  shows "\<lbrakk>~ collinear{a,b,c}; DIM('a) = 2\<rbrakk>
-         \<Longrightarrow> interior(convex hull {a,b,c}) =
-                {v. \<exists>x y z. 0 < x \<and> 0 < y \<and> 0 < z \<and> x + y + z = 1 \<and>
-                            x *\<^sub>R a + y *\<^sub>R b + z *\<^sub>R c = v}"
-apply (simp add: collinear_3_eq_affine_dependent interior_convex_hull_explicit_minimal, safe)
-apply (rule_tac x="u a" in exI, simp)
-apply (rule_tac x="u b" in exI, simp)
-apply (rule_tac x="u c" in exI, simp)
-apply (rename_tac uu x y z)
-apply (rule_tac x="\<lambda>r. (if r=a then x else if r=b then y else if r=c then z else 0)" in exI)
-apply simp
-done
-
-subsection\<open>The infimum of the distance between two sets\<close>
-
-definition setdist :: "'a::metric_space set \<Rightarrow> 'a set \<Rightarrow> real" where
-  "setdist s t \<equiv>
-       (if s = {} \<or> t = {} then 0
-        else Inf {dist x y| x y. x \<in> s \<and> y \<in> t})"
-
-lemma setdist_empty1 [simp]: "setdist {} t = 0"
-  by (simp add: setdist_def)
-
-lemma setdist_empty2 [simp]: "setdist t {} = 0"
-  by (simp add: setdist_def)
-
-lemma setdist_pos_le [simp]: "0 \<le> setdist s t"
-  by (auto simp: setdist_def ex_in_conv [symmetric] intro: cInf_greatest)
-
-lemma le_setdistI:
-  assumes "s \<noteq> {}" "t \<noteq> {}" "\<And>x y. \<lbrakk>x \<in> s; y \<in> t\<rbrakk> \<Longrightarrow> d \<le> dist x y"
-    shows "d \<le> setdist s t"
-  using assms
-  by (auto simp: setdist_def Set.ex_in_conv [symmetric] intro: cInf_greatest)
-
-lemma setdist_le_dist: "\<lbrakk>x \<in> s; y \<in> t\<rbrakk> \<Longrightarrow> setdist s t \<le> dist x y"
-  unfolding setdist_def
-  by (auto intro!: bdd_belowI [where m=0] cInf_lower)
-
-lemma le_setdist_iff:
-        "d \<le> setdist s t \<longleftrightarrow>
-        (\<forall>x \<in> s. \<forall>y \<in> t. d \<le> dist x y) \<and> (s = {} \<or> t = {} \<longrightarrow> d \<le> 0)"
-  apply (cases "s = {} \<or> t = {}")
-  apply (force simp add: setdist_def)
-  apply (intro iffI conjI)
-  using setdist_le_dist apply fastforce
-  apply (auto simp: intro: le_setdistI)
-  done
-
-lemma setdist_ltE:
-  assumes "setdist s t < b" "s \<noteq> {}" "t \<noteq> {}"
-    obtains x y where "x \<in> s" "y \<in> t" "dist x y < b"
-using assms
-by (auto simp: not_le [symmetric] le_setdist_iff)
-
-lemma setdist_refl: "setdist s s = 0"
-  apply (cases "s = {}")
-  apply (force simp add: setdist_def)
-  apply (rule antisym [OF _ setdist_pos_le])
-  apply (metis all_not_in_conv dist_self setdist_le_dist)
-  done
-
-lemma setdist_sym: "setdist s t = setdist t s"
-  by (force simp: setdist_def dist_commute intro!: arg_cong [where f=Inf])
-
-lemma setdist_triangle: "setdist s t \<le> setdist s {a} + setdist {a} t"
-proof (cases "s = {} \<or> t = {}")
-  case True then show ?thesis
-    using setdist_pos_le by fastforce
-next
-  case False
-  have "\<And>x. x \<in> s \<Longrightarrow> setdist s t - dist x a \<le> setdist {a} t"
-    apply (rule le_setdistI, blast)
-    using False apply (fastforce intro: le_setdistI)
-    apply (simp add: algebra_simps)
-    apply (metis dist_commute dist_triangle3 order_trans [OF setdist_le_dist])
-    done
-  then have "setdist s t - setdist {a} t \<le> setdist s {a}"
-    using False by (fastforce intro: le_setdistI)
-  then show ?thesis
-    by (simp add: algebra_simps)
-qed
-
-lemma setdist_singletons [simp]: "setdist {x} {y} = dist x y"
-  by (simp add: setdist_def)
-
-lemma setdist_Lipschitz: "\<bar>setdist {x} s - setdist {y} s\<bar> \<le> dist x y"
-  apply (subst setdist_singletons [symmetric])
-  by (metis abs_diff_le_iff diff_le_eq setdist_triangle setdist_sym)
-
-lemma continuous_at_setdist [continuous_intros]: "continuous (at x) (\<lambda>y. (setdist {y} s))"
-  by (force simp: continuous_at_eps_delta dist_real_def intro: le_less_trans [OF setdist_Lipschitz])
-
-lemma continuous_on_setdist [continuous_intros]: "continuous_on t (\<lambda>y. (setdist {y} s))"
-  by (metis continuous_at_setdist continuous_at_imp_continuous_on)
-
-lemma uniformly_continuous_on_setdist: "uniformly_continuous_on t (\<lambda>y. (setdist {y} s))"
-  by (force simp: uniformly_continuous_on_def dist_real_def intro: le_less_trans [OF setdist_Lipschitz])
-
-lemma setdist_subset_right: "\<lbrakk>t \<noteq> {}; t \<subseteq> u\<rbrakk> \<Longrightarrow> setdist s u \<le> setdist s t"
-  apply (cases "s = {} \<or> u = {}", force)
-  apply (auto simp: setdist_def intro!: bdd_belowI [where m=0] cInf_superset_mono)
-  done
-
-lemma setdist_subset_left: "\<lbrakk>s \<noteq> {}; s \<subseteq> t\<rbrakk> \<Longrightarrow> setdist t u \<le> setdist s u"
-  by (metis setdist_subset_right setdist_sym)
-
-lemma setdist_closure_1 [simp]: "setdist (closure s) t = setdist s t"
-proof (cases "s = {} \<or> t = {}")
-  case True then show ?thesis by force
-next
-  case False
-  { fix y
-    assume "y \<in> t"
-    have "continuous_on (closure s) (\<lambda>a. dist a y)"
-      by (auto simp: continuous_intros dist_norm)
-    then have *: "\<And>x. x \<in> closure s \<Longrightarrow> setdist s t \<le> dist x y"
-      apply (rule continuous_ge_on_closure)
-      apply assumption
-      apply (blast intro: setdist_le_dist \<open>y \<in> t\<close> )
-      done
-  } note * = this
-  show ?thesis
-    apply (rule antisym)
-     using False closure_subset apply (blast intro: setdist_subset_left)
-    using False *
-    apply (force simp add: closure_eq_empty intro!: le_setdistI)
-    done
-qed
-
-lemma setdist_closure_2 [simp]: "setdist t (closure s) = setdist t s"
-by (metis setdist_closure_1 setdist_sym)
-
-lemma setdist_compact_closed:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "compact S" and T: "closed T"
-      and "S \<noteq> {}" "T \<noteq> {}"
-    shows "\<exists>x \<in> S. \<exists>y \<in> T. dist x y = setdist S T"
-proof -
-  have "(\<Union>x\<in> S. \<Union>y \<in> T. {x - y}) \<noteq> {}"
-    using assms by blast
-  then have "\<exists>x \<in> S. \<exists>y \<in> T. dist x y \<le> setdist S T"
-    apply (rule distance_attains_inf [where a=0, OF compact_closed_differences [OF S T]])
-    apply (simp add: dist_norm le_setdist_iff)
-    apply blast
-    done
-  then show ?thesis
-    by (blast intro!: antisym [OF _ setdist_le_dist] )
-qed
-
-lemma setdist_closed_compact:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "closed S" and T: "compact T"
-      and "S \<noteq> {}" "T \<noteq> {}"
-    shows "\<exists>x \<in> S. \<exists>y \<in> T. dist x y = setdist S T"
-  using setdist_compact_closed [OF T S \<open>T \<noteq> {}\<close> \<open>S \<noteq> {}\<close>]
-  by (metis dist_commute setdist_sym)
-
-lemma setdist_eq_0I: "\<lbrakk>x \<in> S; x \<in> T\<rbrakk> \<Longrightarrow> setdist S T = 0"
-  by (metis antisym dist_self setdist_le_dist setdist_pos_le)
-
-lemma setdist_eq_0_compact_closed:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "compact S" and T: "closed T"
-    shows "setdist S T = 0 \<longleftrightarrow> S = {} \<or> T = {} \<or> S \<inter> T \<noteq> {}"
-  apply (cases "S = {} \<or> T = {}", force)
-  using setdist_compact_closed [OF S T]
-  apply (force intro: setdist_eq_0I )
-  done
-
-corollary setdist_gt_0_compact_closed:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "compact S" and T: "closed T"
-    shows "setdist S T > 0 \<longleftrightarrow> (S \<noteq> {} \<and> T \<noteq> {} \<and> S \<inter> T = {})"
-  using setdist_pos_le [of S T] setdist_eq_0_compact_closed [OF assms]
-  by linarith
-
-lemma setdist_eq_0_closed_compact:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "closed S" and T: "compact T"
-    shows "setdist S T = 0 \<longleftrightarrow> S = {} \<or> T = {} \<or> S \<inter> T \<noteq> {}"
-  using setdist_eq_0_compact_closed [OF T S]
-  by (metis Int_commute setdist_sym)
-
-lemma setdist_eq_0_bounded:
-  fixes S :: "'a::euclidean_space set"
-  assumes "bounded S \<or> bounded T"
-    shows "setdist S T = 0 \<longleftrightarrow> S = {} \<or> T = {} \<or> closure S \<inter> closure T \<noteq> {}"
-  apply (cases "S = {} \<or> T = {}", force)
-  using setdist_eq_0_compact_closed [of "closure S" "closure T"]
-        setdist_eq_0_closed_compact [of "closure S" "closure T"] assms
-  apply (force simp add:  bounded_closure compact_eq_bounded_closed)
-  done
-
-lemma setdist_unique:
-  "\<lbrakk>a \<in> S; b \<in> T; \<And>x y. x \<in> S \<and> y \<in> T ==> dist a b \<le> dist x y\<rbrakk>
-   \<Longrightarrow> setdist S T = dist a b"
-  by (force simp add: setdist_le_dist le_setdist_iff intro: antisym)
-
-lemma setdist_closest_point:
-    "\<lbrakk>closed S; S \<noteq> {}\<rbrakk> \<Longrightarrow> setdist {a} S = dist a (closest_point S a)"
-  apply (rule setdist_unique)
-  using closest_point_le
-  apply (auto simp: closest_point_in_set)
-  done
-
-lemma setdist_eq_0_sing_1:
-    fixes S :: "'a::euclidean_space set"
-    shows "setdist {x} S = 0 \<longleftrightarrow> S = {} \<or> x \<in> closure S"
-  by (auto simp: setdist_eq_0_bounded)
-
-lemma setdist_eq_0_sing_2:
-    fixes S :: "'a::euclidean_space set"
-    shows "setdist S {x} = 0 \<longleftrightarrow> S = {} \<or> x \<in> closure S"
-  by (auto simp: setdist_eq_0_bounded)
-
-lemma setdist_neq_0_sing_1:
-    fixes S :: "'a::euclidean_space set"
-    shows "\<lbrakk>setdist {x} S = a; a \<noteq> 0\<rbrakk> \<Longrightarrow> S \<noteq> {} \<and> x \<notin> closure S"
-  by (auto simp: setdist_eq_0_sing_1)
-
-lemma setdist_neq_0_sing_2:
-    fixes S :: "'a::euclidean_space set"
-    shows "\<lbrakk>setdist S {x} = a; a \<noteq> 0\<rbrakk> \<Longrightarrow> S \<noteq> {} \<and> x \<notin> closure S"
-  by (auto simp: setdist_eq_0_sing_2)
-
-lemma setdist_sing_in_set:
-    fixes S :: "'a::euclidean_space set"
-    shows "x \<in> S \<Longrightarrow> setdist {x} S = 0"
-  using closure_subset by (auto simp: setdist_eq_0_sing_1)
-
-lemma setdist_le_sing: "x \<in> S ==> setdist S T \<le> setdist {x} T"
-  using setdist_subset_left by auto
-
-lemma setdist_eq_0_closed:
-  fixes S :: "'a::euclidean_space set"
-  shows  "closed S \<Longrightarrow> (setdist {x} S = 0 \<longleftrightarrow> S = {} \<or> x \<in> S)"
-by (simp add: setdist_eq_0_sing_1)
-
-lemma setdist_eq_0_closedin:
-  fixes S :: "'a::euclidean_space set"
-  shows "\<lbrakk>closedin (subtopology euclidean u) S; x \<in> u\<rbrakk>
-         \<Longrightarrow> (setdist {x} S = 0 \<longleftrightarrow> S = {} \<or> x \<in> S)"
-  by (auto simp: closedin_limpt setdist_eq_0_sing_1 closure_def)
-
-subsection\<open>Basic lemmas about hyperplanes and halfspaces\<close>
-
-lemma hyperplane_eq_Ex:
-  assumes "a \<noteq> 0" obtains x where "a \<bullet> x = b"
-  by (rule_tac x = "(b / (a \<bullet> a)) *\<^sub>R a" in that) (simp add: assms)
-
-lemma hyperplane_eq_empty:
-     "{x. a \<bullet> x = b} = {} \<longleftrightarrow> a = 0 \<and> b \<noteq> 0"
-  using hyperplane_eq_Ex apply auto[1]
-  using inner_zero_right by blast
-
-lemma hyperplane_eq_UNIV:
-   "{x. a \<bullet> x = b} = UNIV \<longleftrightarrow> a = 0 \<and> b = 0"
-proof -
-  have "UNIV \<subseteq> {x. a \<bullet> x = b} \<Longrightarrow> a = 0 \<and> b = 0"
-    apply (drule_tac c = "((b+1) / (a \<bullet> a)) *\<^sub>R a" in subsetD)
-    apply simp_all
-    by (metis add_cancel_right_right zero_neq_one)
-  then show ?thesis by force
-qed
-
-lemma halfspace_eq_empty_lt:
-   "{x. a \<bullet> x < b} = {} \<longleftrightarrow> a = 0 \<and> b \<le> 0"
-proof -
-  have "{x. a \<bullet> x < b} \<subseteq> {} \<Longrightarrow> a = 0 \<and> b \<le> 0"
-    apply (rule ccontr)
-    apply (drule_tac c = "((b-1) / (a \<bullet> a)) *\<^sub>R a" in subsetD)
-    apply force+
-    done
-  then show ?thesis by force
-qed
-
-lemma halfspace_eq_empty_gt:
-   "{x. a \<bullet> x > b} = {} \<longleftrightarrow> a = 0 \<and> b \<ge> 0"
-using halfspace_eq_empty_lt [of "-a" "-b"]
-by simp
-
-lemma halfspace_eq_empty_le:
-   "{x. a \<bullet> x \<le> b} = {} \<longleftrightarrow> a = 0 \<and> b < 0"
-proof -
-  have "{x. a \<bullet> x \<le> b} \<subseteq> {} \<Longrightarrow> a = 0 \<and> b < 0"
-    apply (rule ccontr)
-    apply (drule_tac c = "((b-1) / (a \<bullet> a)) *\<^sub>R a" in subsetD)
-    apply force+
-    done
-  then show ?thesis by force
-qed
-
-lemma halfspace_eq_empty_ge:
-   "{x. a \<bullet> x \<ge> b} = {} \<longleftrightarrow> a = 0 \<and> b > 0"
-using halfspace_eq_empty_le [of "-a" "-b"]
-by simp
-
-subsection\<open>Use set distance for an easy proof of separation properties\<close>
-
-proposition separation_closures:
-  fixes S :: "'a::euclidean_space set"
-  assumes "S \<inter> closure T = {}" "T \<inter> closure S = {}"
-  obtains U V where "U \<inter> V = {}" "open U" "open V" "S \<subseteq> U" "T \<subseteq> V"
-proof (cases "S = {} \<or> T = {}")
-  case True with that show ?thesis by auto
-next
-  case False
-  define f where "f \<equiv> \<lambda>x. setdist {x} T - setdist {x} S"
-  have contf: "continuous_on UNIV f"
-    unfolding f_def by (intro continuous_intros continuous_on_setdist)
-  show ?thesis
-  proof (rule_tac U = "{x. f x > 0}" and V = "{x. f x < 0}" in that)
-    show "{x. 0 < f x} \<inter> {x. f x < 0} = {}"
-      by auto
-    show "open {x. 0 < f x}"
-      by (simp add: open_Collect_less contf continuous_on_const)
-    show "open {x. f x < 0}"
-      by (simp add: open_Collect_less contf continuous_on_const)
-    show "S \<subseteq> {x. 0 < f x}"
-      apply (clarsimp simp add: f_def setdist_sing_in_set)
-      using assms
-      by (metis False IntI empty_iff le_less setdist_eq_0_sing_2 setdist_pos_le setdist_sym)
-    show "T \<subseteq> {x. f x < 0}"
-      apply (clarsimp simp add: f_def setdist_sing_in_set)
-      using assms
-      by (metis False IntI empty_iff le_less setdist_eq_0_sing_2 setdist_pos_le setdist_sym)
-  qed
-qed
-
-lemma separation_normal:
-  fixes S :: "'a::euclidean_space set"
-  assumes "closed S" "closed T" "S \<inter> T = {}"
-  obtains U V where "open U" "open V" "S \<subseteq> U" "T \<subseteq> V" "U \<inter> V = {}"
-using separation_closures [of S T]
-by (metis assms closure_closed disjnt_def inf_commute)
-
-
-lemma separation_normal_local:
-  fixes S :: "'a::euclidean_space set"
-  assumes US: "closedin (subtopology euclidean U) S"
-      and UT: "closedin (subtopology euclidean U) T"
-      and "S \<inter> T = {}"
-  obtains S' T' where "openin (subtopology euclidean U) S'"
-                      "openin (subtopology euclidean U) T'"
-                      "S \<subseteq> S'"  "T \<subseteq> T'"  "S' \<inter> T' = {}"
-proof (cases "S = {} \<or> T = {}")
-  case True with that show ?thesis
-    apply safe
-    using UT closedin_subset apply blast
-    using US closedin_subset apply blast
-    done
-next
-  case False
-  define f where "f \<equiv> \<lambda>x. setdist {x} T - setdist {x} S"
-  have contf: "continuous_on U f"
-    unfolding f_def by (intro continuous_intros)
-  show ?thesis
-  proof (rule_tac S' = "{x\<in>U. f x > 0}" and T' = "{x\<in>U. f x < 0}" in that)
-    show "{x \<in> U. 0 < f x} \<inter> {x \<in> U. f x < 0} = {}"
-      by auto
-    have "openin (subtopology euclidean U) {x \<in> U. f x \<in> {0<..}}"
-      by (rule continuous_openin_preimage [where T=UNIV]) (simp_all add: contf)
-    then show "openin (subtopology euclidean U) {x \<in> U. 0 < f x}" by simp
-  next
-    have "openin (subtopology euclidean U) {x \<in> U. f x \<in> {..<0}}"
-      by (rule continuous_openin_preimage [where T=UNIV]) (simp_all add: contf)
-    then show "openin (subtopology euclidean U) {x \<in> U. f x < 0}" by simp
-  next
-    show "S \<subseteq> {x \<in> U. 0 < f x}"
-      apply (clarsimp simp add: f_def setdist_sing_in_set)
-      using assms
-      by (metis False Int_insert_right closedin_imp_subset empty_not_insert insert_absorb insert_subset linorder_neqE_linordered_idom not_le setdist_eq_0_closedin setdist_pos_le)
-    show "T \<subseteq> {x \<in> U. f x < 0}"
-      apply (clarsimp simp add: f_def setdist_sing_in_set)
-      using assms
-      by (metis False closedin_subset disjoint_iff_not_equal insert_absorb insert_subset linorder_neqE_linordered_idom not_less setdist_eq_0_closedin setdist_pos_le topspace_euclidean_subtopology)
-  qed
-qed
-
-lemma separation_normal_compact:
-  fixes S :: "'a::euclidean_space set"
-  assumes "compact S" "closed T" "S \<inter> T = {}"
-  obtains U V where "open U" "compact(closure U)" "open V" "S \<subseteq> U" "T \<subseteq> V" "U \<inter> V = {}"
-proof -
-  have "closed S" "bounded S"
-    using assms by (auto simp: compact_eq_bounded_closed)
-  then obtain r where "r>0" and r: "S \<subseteq> ball 0 r"
-    by (auto dest!: bounded_subset_ballD)
-  have **: "closed (T \<union> - ball 0 r)" "S \<inter> (T \<union> - ball 0 r) = {}"
-    using assms r by blast+
-  then show ?thesis
-    apply (rule separation_normal [OF \<open>closed S\<close>])
-    apply (rule_tac U=U and V=V in that)
-    by auto (meson bounded_ball bounded_subset compl_le_swap2 disjoint_eq_subset_Compl)
-qed
-
-subsection\<open>Proper maps, including projections out of compact sets\<close>
-
-lemma finite_indexed_bound:
-  assumes A: "finite A" "\<And>x. x \<in> A \<Longrightarrow> \<exists>n::'a::linorder. P x n"
-    shows "\<exists>m. \<forall>x \<in> A. \<exists>k\<le>m. P x k"
-using A
-proof (induction A)
-  case empty then show ?case by force
-next
-  case (insert a A)
-    then obtain m n where "\<forall>x \<in> A. \<exists>k\<le>m. P x k" "P a n"
-      by force
-    then show ?case
-      apply (rule_tac x="max m n" in exI, safe)
-      using max.cobounded2 apply blast
-      by (meson le_max_iff_disj)
-qed
-
-proposition proper_map:
-  fixes f :: "'a::heine_borel \<Rightarrow> 'b::heine_borel"
-  assumes "closedin (subtopology euclidean S) K"
-      and com: "\<And>U. \<lbrakk>U \<subseteq> T; compact U\<rbrakk> \<Longrightarrow> compact {x \<in> S. f x \<in> U}"
-      and "f ` S \<subseteq> T"
-    shows "closedin (subtopology euclidean T) (f ` K)"
-proof -
-  have "K \<subseteq> S"
-    using assms closedin_imp_subset by metis
-  obtain C where "closed C" and Keq: "K = S \<inter> C"
-    using assms by (auto simp: closedin_closed)
-  have *: "y \<in> f ` K" if "y \<in> T" and y: "y islimpt f ` K" for y
-  proof -
-    obtain h where "\<forall>n. (\<exists>x\<in>K. h n = f x) \<and> h n \<noteq> y" "inj h" and hlim: "(h \<longlongrightarrow> y) sequentially"
-      using \<open>y \<in> T\<close> y by (force simp: limpt_sequential_inj)
-    then obtain X where X: "\<And>n. X n \<in> K \<and> h n = f (X n) \<and> h n \<noteq> y"
-      by metis
-    then have fX: "\<And>n. f (X n) = h n"
-      by metis
-    have "compact (C \<inter> {a \<in> S. f a \<in> insert y (range (\<lambda>i. f(X(n + i))))})" for n
-      apply (rule closed_Int_compact [OF \<open>closed C\<close>])
-      apply (rule com)
-       using X \<open>K \<subseteq> S\<close> \<open>f ` S \<subseteq> T\<close> \<open>y \<in> T\<close> apply blast
-      apply (rule compact_sequence_with_limit)
-      apply (simp add: fX add.commute [of n] LIMSEQ_ignore_initial_segment [OF hlim])
-      done
-    then have comf: "compact {a \<in> K. f a \<in> insert y (range (\<lambda>i. f(X(n + i))))}" for n
-      by (simp add: Keq Int_def conj_commute)
-    have ne: "\<Inter>\<F> \<noteq> {}"
-             if "finite \<F>"
-                and \<F>: "\<And>t. t \<in> \<F> \<Longrightarrow>
-                           (\<exists>n. t = {a \<in> K. f a \<in> insert y (range (\<lambda>i. f (X (n + i))))})"
-             for \<F>
-    proof -
-      obtain m where m: "\<And>t. t \<in> \<F> \<Longrightarrow> \<exists>k\<le>m. t = {a \<in> K. f a \<in> insert y (range (\<lambda>i. f (X (k + i))))}"
-        apply (rule exE)
-        apply (rule finite_indexed_bound [OF \<open>finite \<F>\<close> \<F>], assumption, force)
-        done
-      have "X m \<in> \<Inter>\<F>"
-        using X le_Suc_ex by (fastforce dest: m)
-      then show ?thesis by blast
-    qed
-    have "\<Inter>{{a. a \<in> K \<and> f a \<in> insert y (range (\<lambda>i. f(X(n + i))))} |n. n \<in> UNIV}
-               \<noteq> {}"
-      apply (rule compact_fip_heine_borel)
-       using comf apply force
-      using ne  apply (simp add: subset_iff del: insert_iff)
-      done
-    then have "\<exists>x. x \<in> (\<Inter>n. {a \<in> K. f a \<in> insert y (range (\<lambda>i. f (X (n + i))))})"
-      by blast
-    then show ?thesis
-      apply (simp add: image_iff fX)
-      by (metis \<open>inj h\<close> le_add1 not_less_eq_eq rangeI range_ex1_eq)
-  qed
-  with assms closedin_subset show ?thesis
-    by (force simp: closedin_limpt)
-qed
-
-
-lemma compact_continuous_image_eq:
-  fixes f :: "'a::heine_borel \<Rightarrow> 'b::heine_borel"
-  assumes f: "inj_on f S"
-  shows "continuous_on S f \<longleftrightarrow> (\<forall>T. compact T \<and> T \<subseteq> S \<longrightarrow> compact(f ` T))"
-           (is "?lhs = ?rhs")
-proof
-  assume ?lhs then show ?rhs
-    by (metis continuous_on_subset compact_continuous_image)
-next
-  assume RHS: ?rhs
-  obtain g where gf: "\<And>x. x \<in> S \<Longrightarrow> g (f x) = x"
-    by (metis inv_into_f_f f)
-  then have *: "{x \<in> S. f x \<in> U} = g ` U" if "U \<subseteq> f ` S" for U
-    using that by fastforce
-  have gfim: "g ` f ` S \<subseteq> S" using gf by auto
-  have **: "compact {x \<in> f ` S. g x \<in> C}" if C: "C \<subseteq> S" "compact C" for C
-  proof -
-    obtain h :: "'a set \<Rightarrow> 'a" where "h C \<in> C \<and> h C \<notin> S \<or> compact (f ` C)"
-      by (force simp: C RHS)
-    moreover have "f ` C = {b \<in> f ` S. g b \<in> C}"
-      using C gf by auto
-    ultimately show "compact {b \<in> f ` S. g b \<in> C}"
-      using C by auto
-  qed
-  show ?lhs
-    using proper_map [OF _ _ gfim] **
-    by (simp add: continuous_on_closed * closedin_imp_subset)
-qed
-
-subsection\<open>Trivial fact: convexity equals connectedness for collinear sets\<close>
-
-lemma convex_connected_collinear:
-  fixes S :: "'a::euclidean_space set"
-  assumes "collinear S"
-    shows "convex S \<longleftrightarrow> connected S"
-proof
-  assume "convex S"
-  then show "connected S"
-    using convex_connected by blast
-next
-  assume S: "connected S"
-  show "convex S"
-  proof (cases "S = {}")
-    case True
-    then show ?thesis by simp
-  next
-    case False
-    then obtain a where "a \<in> S" by auto
-    have "collinear (affine hull S)"
-      by (simp add: assms collinear_affine_hull_collinear)
-    then obtain z where "z \<noteq> 0" "\<And>x. x \<in> affine hull S \<Longrightarrow> \<exists>c. x - a = c *\<^sub>R z"
-      by (meson \<open>a \<in> S\<close> collinear hull_inc)
-    then obtain f where f: "\<And>x. x \<in> affine hull S \<Longrightarrow> x - a = f x *\<^sub>R z"
-      by metis
-    then have inj_f: "inj_on f (affine hull S)"
-      by (metis diff_add_cancel inj_onI)
-    have diff: "x - y = (f x - f y) *\<^sub>R z" if x: "x \<in> affine hull S" and y: "y \<in> affine hull S" for x y
-    proof -
-      have "f x *\<^sub>R z = x - a"
-        by (simp add: f hull_inc x)
-      moreover have "f y *\<^sub>R z = y - a"
-        by (simp add: f hull_inc y)
-      ultimately show ?thesis
-        by (simp add: scaleR_left.diff)
-    qed
-    have cont_f: "continuous_on (affine hull S) f"
-      apply (clarsimp simp: dist_norm continuous_on_iff diff)
-      by (metis \<open>z \<noteq> 0\<close> mult.commute mult_less_cancel_left_pos norm_minus_commute real_norm_def zero_less_mult_iff zero_less_norm_iff)
-    then have conn_fS: "connected (f ` S)"
-      by (meson S connected_continuous_image continuous_on_subset hull_subset)
-    show ?thesis
-    proof (clarsimp simp: convex_contains_segment)
-      fix x y z
-      assume "x \<in> S" "y \<in> S" "z \<in> closed_segment x y"
-      have False if "z \<notin> S"
-      proof -
-        have "f ` (closed_segment x y) = closed_segment (f x) (f y)"
-          apply (rule continuous_injective_image_segment_1)
-          apply (meson \<open>x \<in> S\<close> \<open>y \<in> S\<close> convex_affine_hull convex_contains_segment hull_inc continuous_on_subset [OF cont_f])
-          by (meson \<open>x \<in> S\<close> \<open>y \<in> S\<close> convex_affine_hull convex_contains_segment hull_inc inj_on_subset [OF inj_f])
-        then have fz: "f z \<in> closed_segment (f x) (f y)"
-          using \<open>z \<in> closed_segment x y\<close> by blast
-        have "z \<in> affine hull S"
-          by (meson \<open>x \<in> S\<close> \<open>y \<in> S\<close> \<open>z \<in> closed_segment x y\<close> convex_affine_hull convex_contains_segment hull_inc subset_eq)
-        then have fz_notin: "f z \<notin> f ` S"
-          using hull_subset inj_f inj_onD that by fastforce
-        moreover have "{..<f z} \<inter> f ` S \<noteq> {}" "{f z<..} \<inter> f ` S \<noteq> {}"
-        proof -
-          have "{..<f z} \<inter> f ` {x,y} \<noteq> {}"  "{f z<..} \<inter> f ` {x,y} \<noteq> {}"
-            using fz fz_notin \<open>x \<in> S\<close> \<open>y \<in> S\<close>
-             apply (auto simp: closed_segment_eq_real_ivl split: if_split_asm)
-             apply (metis image_eqI less_eq_real_def)+
-            done
-          then show "{..<f z} \<inter> f ` S \<noteq> {}" "{f z<..} \<inter> f ` S \<noteq> {}"
-            using \<open>x \<in> S\<close> \<open>y \<in> S\<close> by blast+
-        qed
-        ultimately show False
-          using connectedD [OF conn_fS, of "{..<f z}" "{f z<..}"] by force
-      qed
-      then show "z \<in> S" by meson
-    qed
-  qed
-qed
-
-lemma compact_convex_collinear_segment_alt:
-  fixes S :: "'a::euclidean_space set"
-  assumes "S \<noteq> {}" "compact S" "connected S" "collinear S"
-  obtains a b where "S = closed_segment a b"
-proof -
-  obtain \<xi> where "\<xi> \<in> S" using \<open>S \<noteq> {}\<close> by auto
-  have "collinear (affine hull S)"
-    by (simp add: assms collinear_affine_hull_collinear)
-  then obtain z where "z \<noteq> 0" "\<And>x. x \<in> affine hull S \<Longrightarrow> \<exists>c. x - \<xi> = c *\<^sub>R z"
-    by (meson \<open>\<xi> \<in> S\<close> collinear hull_inc)
-  then obtain f where f: "\<And>x. x \<in> affine hull S \<Longrightarrow> x - \<xi> = f x *\<^sub>R z"
-    by metis
-  let ?g = "\<lambda>r. r *\<^sub>R z + \<xi>"
-  have gf: "?g (f x) = x" if "x \<in> affine hull S" for x
-    by (metis diff_add_cancel f that)
-  then have inj_f: "inj_on f (affine hull S)"
-    by (metis inj_onI)
-  have diff: "x - y = (f x - f y) *\<^sub>R z" if x: "x \<in> affine hull S" and y: "y \<in> affine hull S" for x y
-  proof -
-    have "f x *\<^sub>R z = x - \<xi>"
-      by (simp add: f hull_inc x)
-    moreover have "f y *\<^sub>R z = y - \<xi>"
-      by (simp add: f hull_inc y)
-    ultimately show ?thesis
-      by (simp add: scaleR_left.diff)
-  qed
-  have cont_f: "continuous_on (affine hull S) f"
-    apply (clarsimp simp: dist_norm continuous_on_iff diff)
-    by (metis \<open>z \<noteq> 0\<close> mult.commute mult_less_cancel_left_pos norm_minus_commute real_norm_def zero_less_mult_iff zero_less_norm_iff)
-  then have "connected (f ` S)"
-    by (meson \<open>connected S\<close> connected_continuous_image continuous_on_subset hull_subset)
-  moreover have "compact (f ` S)"
-    by (meson \<open>compact S\<close> compact_continuous_image_eq cont_f hull_subset inj_f)
-  ultimately obtain x y where "f ` S = {x..y}"
-    by (meson connected_compact_interval_1)
-  then have fS_eq: "f ` S = closed_segment x y"
-    using \<open>S \<noteq> {}\<close> closed_segment_eq_real_ivl by auto
-  obtain a b where "a \<in> S" "f a = x" "b \<in> S" "f b = y"
-    by (metis (full_types) ends_in_segment fS_eq imageE)
-  have "f ` (closed_segment a b) = closed_segment (f a) (f b)"
-    apply (rule continuous_injective_image_segment_1)
-     apply (meson \<open>a \<in> S\<close> \<open>b \<in> S\<close> convex_affine_hull convex_contains_segment hull_inc continuous_on_subset [OF cont_f])
-    by (meson \<open>a \<in> S\<close> \<open>b \<in> S\<close> convex_affine_hull convex_contains_segment hull_inc inj_on_subset [OF inj_f])
-  then have "f ` (closed_segment a b) = f ` S"
-    by (simp add: \<open>f a = x\<close> \<open>f b = y\<close> fS_eq)
-  then have "?g ` f ` (closed_segment a b) = ?g ` f ` S"
-    by simp
-  moreover have "(\<lambda>x. f x *\<^sub>R z + \<xi>) ` closed_segment a b = closed_segment a b"
-    apply safe
-     apply (metis (mono_tags, hide_lams) \<open>a \<in> S\<close> \<open>b \<in> S\<close> convex_affine_hull convex_contains_segment gf hull_inc subsetCE)
-    by (metis (mono_tags, lifting) \<open>a \<in> S\<close> \<open>b \<in> S\<close> convex_affine_hull convex_contains_segment gf hull_subset image_iff subsetCE)
-  ultimately have "closed_segment a b = S"
-    using gf by (simp add: image_comp o_def hull_inc cong: image_cong)
-  then show ?thesis
-    using that by blast
-qed
-
-lemma compact_convex_collinear_segment:
-  fixes S :: "'a::euclidean_space set"
-  assumes "S \<noteq> {}" "compact S" "convex S" "collinear S"
-  obtains a b where "S = closed_segment a b"
-  using assms convex_connected_collinear compact_convex_collinear_segment_alt by blast
-
-
-lemma proper_map_from_compact:
-  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space"
-  assumes contf: "continuous_on S f" and imf: "f ` S \<subseteq> T" and "compact S"
-          "closedin (subtopology euclidean T) K"
-  shows "compact {x. x \<in> S \<and> f x \<in> K}"
-by (rule closedin_compact [OF \<open>compact S\<close>] continuous_closedin_preimage_gen assms)+
-
-lemma proper_map_fst:
-  assumes "compact T" "K \<subseteq> S" "compact K"
-    shows "compact {z \<in> S \<times> T. fst z \<in> K}"
-proof -
-  have "{z \<in> S \<times> T. fst z \<in> K} = K \<times> T"
-    using assms by auto
-  then show ?thesis by (simp add: assms compact_Times)
-qed
-
-lemma closed_map_fst:
-  fixes S :: "'a::euclidean_space set" and T :: "'b::euclidean_space set"
-  assumes "compact T" "closedin (subtopology euclidean (S \<times> T)) c"
-   shows "closedin (subtopology euclidean S) (fst ` c)"
-proof -
-  have *: "fst ` (S \<times> T) \<subseteq> S"
-    by auto
-  show ?thesis
-    using proper_map [OF _ _ *] by (simp add: proper_map_fst assms)
-qed
-
-lemma proper_map_snd:
-  assumes "compact S" "K \<subseteq> T" "compact K"
-    shows "compact {z \<in> S \<times> T. snd z \<in> K}"
-proof -
-  have "{z \<in> S \<times> T. snd z \<in> K} = S \<times> K"
-    using assms by auto
-  then show ?thesis by (simp add: assms compact_Times)
-qed
-
-lemma closed_map_snd:
-  fixes S :: "'a::euclidean_space set" and T :: "'b::euclidean_space set"
-  assumes "compact S" "closedin (subtopology euclidean (S \<times> T)) c"
-   shows "closedin (subtopology euclidean T) (snd ` c)"
-proof -
-  have *: "snd ` (S \<times> T) \<subseteq> T"
-    by auto
-  show ?thesis
-    using proper_map [OF _ _ *] by (simp add: proper_map_snd assms)
-qed
-
-lemma closedin_compact_projection:
-  fixes S :: "'a::euclidean_space set" and T :: "'b::euclidean_space set"
-  assumes "compact S" and clo: "closedin (subtopology euclidean (S \<times> T)) U"
-    shows "closedin (subtopology euclidean T) {y. \<exists>x. x \<in> S \<and> (x, y) \<in> U}"
-proof -
-  have "U \<subseteq> S \<times> T"
-    by (metis clo closedin_imp_subset)
-  then have "{y. \<exists>x. x \<in> S \<and> (x, y) \<in> U} = snd ` U"
-    by force
-  moreover have "closedin (subtopology euclidean T) (snd ` U)"
-    by (rule closed_map_snd [OF assms])
-  ultimately show ?thesis
-    by simp
-qed
-
-
-lemma closed_compact_projection:
-  fixes S :: "'a::euclidean_space set"
-    and T :: "('a * 'b::euclidean_space) set"
-  assumes "compact S" and clo: "closed T"
-    shows "closed {y. \<exists>x. x \<in> S \<and> (x, y) \<in> T}"
-proof -
-  have *: "{y. \<exists>x. x \<in> S \<and> Pair x y \<in> T} =
-        {y. \<exists>x. x \<in> S \<and> Pair x y \<in> ((S \<times> UNIV) \<inter> T)}"
-    by auto
-  show ?thesis
-    apply (subst *)
-    apply (rule closedin_closed_trans [OF _ closed_UNIV])
-    apply (rule closedin_compact_projection [OF \<open>compact S\<close>])
-    by (simp add: clo closedin_closed_Int)
-qed
-
-subsubsection\<open>Representing affine hull as a finite intersection of hyperplanes\<close>
-
-proposition affine_hull_convex_Int_nonempty_interior:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "convex S" "S \<inter> interior T \<noteq> {}"
-    shows "affine hull (S \<inter> T) = affine hull S"
-proof
-  show "affine hull (S \<inter> T) \<subseteq> affine hull S"
-    by (simp add: hull_mono)
-next
-  obtain a where "a \<in> S" "a \<in> T" and at: "a \<in> interior T"
-    using assms interior_subset by blast
-  then obtain e where "e > 0" and e: "cball a e \<subseteq> T"
-    using mem_interior_cball by blast
-  have *: "x \<in> op + a ` span ((\<lambda>x. x - a) ` (S \<inter> T))" if "x \<in> S" for x
-  proof (cases "x = a")
-    case True with that span_0 eq_add_iff image_def mem_Collect_eq show ?thesis
-      by blast
-  next
-    case False
-    define k where "k = min (1/2) (e / norm (x-a))"
-    have k: "0 < k" "k < 1"
-      using \<open>e > 0\<close> False by (auto simp: k_def)
-    then have xa: "(x-a) = inverse k *\<^sub>R k *\<^sub>R (x-a)"
-      by simp
-    have "e / norm (x - a) \<ge> k"
-      using k_def by linarith
-    then have "a + k *\<^sub>R (x - a) \<in> cball a e"
-      using \<open>0 < k\<close> False by (simp add: dist_norm field_simps)
-    then have T: "a + k *\<^sub>R (x - a) \<in> T"
-      using e by blast
-    have S: "a + k *\<^sub>R (x - a) \<in> S"
-      using k \<open>a \<in> S\<close> convexD [OF \<open>convex S\<close> \<open>a \<in> S\<close> \<open>x \<in> S\<close>, of "1-k" k]
-      by (simp add: algebra_simps)
-    have "inverse k *\<^sub>R k *\<^sub>R (x-a) \<in> span ((\<lambda>x. x - a) ` (S \<inter> T))"
-      apply (rule span_mul)
-      apply (rule span_superset)
-      apply (rule image_eqI [where x = "a + k *\<^sub>R (x - a)"])
-      apply (auto simp: S T)
-      done
-    with xa image_iff show ?thesis  by fastforce
-  qed
-  show "affine hull S \<subseteq> affine hull (S \<inter> T)"
-    apply (simp add: subset_hull)
-    apply (simp add: \<open>a \<in> S\<close> \<open>a \<in> T\<close> hull_inc affine_hull_span_gen [of a])
-    apply (force simp: *)
-    done
-qed
-
-corollary affine_hull_convex_Int_open:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "convex S" "open T" "S \<inter> T \<noteq> {}"
-    shows "affine hull (S \<inter> T) = affine hull S"
-using affine_hull_convex_Int_nonempty_interior assms interior_eq by blast
-
-corollary affine_hull_affine_Int_nonempty_interior:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "affine S" "S \<inter> interior T \<noteq> {}"
-    shows "affine hull (S \<inter> T) = affine hull S"
-by (simp add: affine_hull_convex_Int_nonempty_interior affine_imp_convex assms)
-
-corollary affine_hull_affine_Int_open:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "affine S" "open T" "S \<inter> T \<noteq> {}"
-    shows "affine hull (S \<inter> T) = affine hull S"
-by (simp add: affine_hull_convex_Int_open affine_imp_convex assms)
-
-corollary affine_hull_convex_Int_openin:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "convex S" "openin (subtopology euclidean (affine hull S)) T" "S \<inter> T \<noteq> {}"
-    shows "affine hull (S \<inter> T) = affine hull S"
-using assms unfolding openin_open
-by (metis affine_hull_convex_Int_open hull_subset inf.orderE inf_assoc)
-
-corollary affine_hull_openin:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "openin (subtopology euclidean (affine hull T)) S" "S \<noteq> {}"
-    shows "affine hull S = affine hull T"
-using assms unfolding openin_open
-by (metis affine_affine_hull affine_hull_affine_Int_open hull_hull)
-
-corollary affine_hull_open:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "open S" "S \<noteq> {}"
-    shows "affine hull S = UNIV"
-by (metis affine_hull_convex_Int_nonempty_interior assms convex_UNIV hull_UNIV inf_top.left_neutral interior_open)
-
-lemma aff_dim_convex_Int_nonempty_interior:
-  fixes S :: "'a::euclidean_space set"
-  shows "\<lbrakk>convex S; S \<inter> interior T \<noteq> {}\<rbrakk> \<Longrightarrow> aff_dim(S \<inter> T) = aff_dim S"
-using aff_dim_affine_hull2 affine_hull_convex_Int_nonempty_interior by blast
-
-lemma aff_dim_convex_Int_open:
-  fixes S :: "'a::euclidean_space set"
-  shows "\<lbrakk>convex S; open T; S \<inter> T \<noteq> {}\<rbrakk> \<Longrightarrow>  aff_dim(S \<inter> T) = aff_dim S"
-using aff_dim_convex_Int_nonempty_interior interior_eq by blast
-
-lemma affine_hull_Diff:
-  fixes S:: "'a::real_normed_vector set"
-  assumes ope: "openin (subtopology euclidean (affine hull S)) S" and "finite F" "F \<subset> S"
-    shows "affine hull (S - F) = affine hull S"
-proof -
-  have clo: "closedin (subtopology euclidean S) F"
-    using assms finite_imp_closedin by auto
-  moreover have "S - F \<noteq> {}"
-    using assms by auto
-  ultimately show ?thesis
-    by (metis ope closedin_def topspace_euclidean_subtopology affine_hull_openin openin_trans)
-qed
-
-lemma affine_hull_halfspace_lt:
-  fixes a :: "'a::euclidean_space"
-  shows "affine hull {x. a \<bullet> x < r} = (if a = 0 \<and> r \<le> 0 then {} else UNIV)"
-using halfspace_eq_empty_lt [of a r]
-by (simp add: open_halfspace_lt affine_hull_open)
-
-lemma affine_hull_halfspace_le:
-  fixes a :: "'a::euclidean_space"
-  shows "affine hull {x. a \<bullet> x \<le> r} = (if a = 0 \<and> r < 0 then {} else UNIV)"
-proof (cases "a = 0")
-  case True then show ?thesis by simp
-next
-  case False
-  then have "affine hull closure {x. a \<bullet> x < r} = UNIV"
-    using affine_hull_halfspace_lt closure_same_affine_hull by fastforce
-  moreover have "{x. a \<bullet> x < r} \<subseteq> {x. a \<bullet> x \<le> r}"
-    by (simp add: Collect_mono)
-  ultimately show ?thesis using False antisym_conv hull_mono top_greatest
-    by (metis affine_hull_halfspace_lt)
-qed
-
-lemma affine_hull_halfspace_gt:
-  fixes a :: "'a::euclidean_space"
-  shows "affine hull {x. a \<bullet> x > r} = (if a = 0 \<and> r \<ge> 0 then {} else UNIV)"
-using halfspace_eq_empty_gt [of r a]
-by (simp add: open_halfspace_gt affine_hull_open)
-
-lemma affine_hull_halfspace_ge:
-  fixes a :: "'a::euclidean_space"
-  shows "affine hull {x. a \<bullet> x \<ge> r} = (if a = 0 \<and> r > 0 then {} else UNIV)"
-using affine_hull_halfspace_le [of "-a" "-r"] by simp
-
-lemma aff_dim_halfspace_lt:
-  fixes a :: "'a::euclidean_space"
-  shows "aff_dim {x. a \<bullet> x < r} =
-        (if a = 0 \<and> r \<le> 0 then -1 else DIM('a))"
-by simp (metis aff_dim_open halfspace_eq_empty_lt open_halfspace_lt)
-
-lemma aff_dim_halfspace_le:
-  fixes a :: "'a::euclidean_space"
-  shows "aff_dim {x. a \<bullet> x \<le> r} =
-        (if a = 0 \<and> r < 0 then -1 else DIM('a))"
-proof -
-  have "int (DIM('a)) = aff_dim (UNIV::'a set)"
-    by (simp add: aff_dim_UNIV)
-  then have "aff_dim (affine hull {x. a \<bullet> x \<le> r}) = DIM('a)" if "(a = 0 \<longrightarrow> r \<ge> 0)"
-    using that by (simp add: affine_hull_halfspace_le not_less)
-  then show ?thesis
-    by (force simp: aff_dim_affine_hull)
-qed
-
-lemma aff_dim_halfspace_gt:
-  fixes a :: "'a::euclidean_space"
-  shows "aff_dim {x. a \<bullet> x > r} =
-        (if a = 0 \<and> r \<ge> 0 then -1 else DIM('a))"
-by simp (metis aff_dim_open halfspace_eq_empty_gt open_halfspace_gt)
-
-lemma aff_dim_halfspace_ge:
-  fixes a :: "'a::euclidean_space"
-  shows "aff_dim {x. a \<bullet> x \<ge> r} =
-        (if a = 0 \<and> r > 0 then -1 else DIM('a))"
-using aff_dim_halfspace_le [of "-a" "-r"] by simp
-
-subsection\<open>Properties of special hyperplanes\<close>
-
-lemma subspace_hyperplane: "subspace {x. a \<bullet> x = 0}"
-  by (simp add: subspace_def inner_right_distrib)
-
-lemma subspace_hyperplane2: "subspace {x. x \<bullet> a = 0}"
-  by (simp add: inner_commute inner_right_distrib subspace_def)
-
-lemma special_hyperplane_span:
-  fixes S :: "'n::euclidean_space set"
-  assumes "k \<in> Basis"
-  shows "{x. k \<bullet> x = 0} = span (Basis - {k})"
-proof -
-  have *: "x \<in> span (Basis - {k})" if "k \<bullet> x = 0" for x
-  proof -
-    have "x = (\<Sum>b\<in>Basis. (x \<bullet> b) *\<^sub>R b)"
-      by (simp add: euclidean_representation)
-    also have "... = (\<Sum>b \<in> Basis - {k}. (x \<bullet> b) *\<^sub>R b)"
-      by (auto simp: sum.remove [of _ k] inner_commute assms that)
-    finally have "x = (\<Sum>b\<in>Basis - {k}. (x \<bullet> b) *\<^sub>R b)" .
-    then show ?thesis
-      by (simp add: Linear_Algebra.span_finite) metis
-  qed
-  show ?thesis
-    apply (rule span_subspace [symmetric])
-    using assms
-    apply (auto simp: inner_not_same_Basis intro: * subspace_hyperplane)
-    done
-qed
-
-lemma dim_special_hyperplane:
-  fixes k :: "'n::euclidean_space"
-  shows "k \<in> Basis \<Longrightarrow> dim {x. k \<bullet> x = 0} = DIM('n) - 1"
-apply (simp add: special_hyperplane_span)
-apply (rule Linear_Algebra.dim_unique [OF subset_refl])
-apply (auto simp: Diff_subset independent_substdbasis)
-apply (metis member_remove remove_def span_clauses(1))
-done
-
-proposition dim_hyperplane:
-  fixes a :: "'a::euclidean_space"
-  assumes "a \<noteq> 0"
-    shows "dim {x. a \<bullet> x = 0} = DIM('a) - 1"
-proof -
-  have span0: "span {x. a \<bullet> x = 0} = {x. a \<bullet> x = 0}"
-    by (rule span_unique) (auto simp: subspace_hyperplane)
-  then obtain B where "independent B"
-              and Bsub: "B \<subseteq> {x. a \<bullet> x = 0}"
-              and subspB: "{x. a \<bullet> x = 0} \<subseteq> span B"
-              and card0: "(card B = dim {x. a \<bullet> x = 0})"
-              and ortho: "pairwise orthogonal B"
-    using orthogonal_basis_exists by metis
-  with assms have "a \<notin> span B"
-    by (metis (mono_tags, lifting) span_eq inner_eq_zero_iff mem_Collect_eq span0 span_subspace)
-  then have ind: "independent (insert a B)"
-    by (simp add: \<open>independent B\<close> independent_insert)
-  have "finite B"
-    using \<open>independent B\<close> independent_bound by blast
-  have "UNIV \<subseteq> span (insert a B)"
-  proof fix y::'a
-    obtain r z where z: "y = r *\<^sub>R a + z" "a \<bullet> z = 0"
-      apply (rule_tac r="(a \<bullet> y) / (a \<bullet> a)" and z = "y - ((a \<bullet> y) / (a \<bullet> a)) *\<^sub>R a" in that)
-      using assms
-      by (auto simp: algebra_simps)
-    show "y \<in> span (insert a B)"
-      by (metis (mono_tags, lifting) z Bsub Convex_Euclidean_Space.span_eq
-         add_diff_cancel_left' mem_Collect_eq span0 span_breakdown_eq span_subspace subspB)
-  qed
-  then have dima: "DIM('a) = dim(insert a B)"
-    by (metis antisym dim_UNIV dim_subset_UNIV subset_le_dim)
-  then show ?thesis
-    by (metis (mono_tags, lifting) Bsub Diff_insert_absorb \<open>a \<notin> span B\<close> ind card0 card_Diff_singleton dim_span indep_card_eq_dim_span insertI1 subsetCE subspB)
-qed
-
-lemma lowdim_eq_hyperplane:
-  fixes S :: "'a::euclidean_space set"
-  assumes "dim S = DIM('a) - 1"
-  obtains a where "a \<noteq> 0" and "span S = {x. a \<bullet> x = 0}"
-proof -
-  have [simp]: "dim S < DIM('a)"
-    by (simp add: DIM_positive assms)
-  then obtain b where b: "b \<noteq> 0" "span S \<subseteq> {a. b \<bullet> a = 0}"
-    using lowdim_subset_hyperplane [of S] by fastforce
-  show ?thesis
-    using b that real_vector_class.subspace_span [of S]
-    by (simp add: assms dim_hyperplane subspace_dim_equal subspace_hyperplane)
-qed
-
-lemma dim_eq_hyperplane:
-  fixes S :: "'n::euclidean_space set"
-  shows "dim S = DIM('n) - 1 \<longleftrightarrow> (\<exists>a. a \<noteq> 0 \<and> span S = {x. a \<bullet> x = 0})"
-by (metis One_nat_def dim_hyperplane dim_span lowdim_eq_hyperplane)
-
-proposition aff_dim_eq_hyperplane:
-  fixes S :: "'a::euclidean_space set"
-  shows "aff_dim S = DIM('a) - 1 \<longleftrightarrow> (\<exists>a b. a \<noteq> 0 \<and> affine hull S = {x. a \<bullet> x = b})"
-proof (cases "S = {}")
-  case True then show ?thesis
-    by (auto simp: dest: hyperplane_eq_Ex)
-next
-  case False
-  then obtain c where "c \<in> S" by blast
-  show ?thesis
-  proof (cases "c = 0")
-    case True show ?thesis
-    apply (simp add: aff_dim_eq_dim [of c] affine_hull_span_gen [of c] \<open>c \<in> S\<close> hull_inc dim_eq_hyperplane
-                del: One_nat_def)
-    apply (rule ex_cong)
-    apply (metis (mono_tags) span_0 \<open>c = 0\<close> image_add_0 inner_zero_right mem_Collect_eq)
-    done
-  next
-    case False
-    have xc_im: "x \<in> op + c ` {y. a \<bullet> y = 0}" if "a \<bullet> x = a \<bullet> c" for a x
-    proof -
-      have "\<exists>y. a \<bullet> y = 0 \<and> c + y = x"
-        by (metis that add.commute diff_add_cancel inner_commute inner_diff_left right_minus_eq)
-      then show "x \<in> op + c ` {y. a \<bullet> y = 0}"
-        by blast
-    qed
-    have 2: "span ((\<lambda>x. x - c) ` S) = {x. a \<bullet> x = 0}"
-         if "op + c ` span ((\<lambda>x. x - c) ` S) = {x. a \<bullet> x = b}" for a b
-    proof -
-      have "b = a \<bullet> c"
-        using span_0 that by fastforce
-      with that have "op + c ` span ((\<lambda>x. x - c) ` S) = {x. a \<bullet> x = a \<bullet> c}"
-        by simp
-      then have "span ((\<lambda>x. x - c) ` S) = (\<lambda>x. x - c) ` {x. a \<bullet> x = a \<bullet> c}"
-        by (metis (no_types) image_cong translation_galois uminus_add_conv_diff)
-      also have "... = {x. a \<bullet> x = 0}"
-        by (force simp: inner_distrib inner_diff_right
-             intro: image_eqI [where x="x+c" for x])
-      finally show ?thesis .
-    qed
-    show ?thesis
-      apply (simp add: aff_dim_eq_dim [of c] affine_hull_span_gen [of c] \<open>c \<in> S\<close> hull_inc dim_eq_hyperplane
-                  del: One_nat_def, safe)
-      apply (fastforce simp add: inner_distrib intro: xc_im)
-      apply (force simp: intro!: 2)
-      done
-  qed
-qed
-
-corollary aff_dim_hyperplane [simp]:
-  fixes a :: "'a::euclidean_space"
-  shows "a \<noteq> 0 \<Longrightarrow> aff_dim {x. a \<bullet> x = r} = DIM('a) - 1"
-by (metis aff_dim_eq_hyperplane affine_hull_eq affine_hyperplane)
-
-subsection\<open>Some stepping theorems\<close>
-
-lemma dim_empty [simp]: "dim ({} :: 'a::euclidean_space set) = 0"
-  by (force intro!: dim_unique)
-
-lemma dim_insert:
-  fixes x :: "'a::euclidean_space"
-  shows "dim (insert x S) = (if x \<in> span S then dim S else dim S + 1)"
-proof -
-  show ?thesis
-  proof (cases "x \<in> span S")
-    case True then show ?thesis
-      by (metis dim_span span_redundant)
-  next
-    case False
-    obtain B where B: "B \<subseteq> span S" "independent B" "span S \<subseteq> span B" "card B = dim (span S)"
-      using basis_exists [of "span S"] by blast
-    have 1: "insert x B \<subseteq> span (insert x S)"
-      by (meson \<open>B \<subseteq> span S\<close> dual_order.trans insertI1 insert_subsetI span_mono span_superset subset_insertI)
-    have 2: "span (insert x S) \<subseteq> span (insert x B)"
-      by (metis \<open>B \<subseteq> span S\<close> \<open>span S \<subseteq> span B\<close> span_breakdown_eq span_subspace subsetI subspace_span)
-    have 3: "independent (insert x B)"
-      by (metis B independent_insert span_subspace subspace_span False)
-    have "dim (span (insert x S)) = Suc (dim S)"
-      apply (rule dim_unique [OF 1 2 3])
-      by (metis B False card_insert_disjoint dim_span independent_imp_finite subsetCE)
-    then show ?thesis
-      by (simp add: False)
-  qed
-qed
-
-lemma dim_singleton [simp]:
-  fixes x :: "'a::euclidean_space"
-  shows "dim{x} = (if x = 0 then 0 else 1)"
-by (simp add: dim_insert)
-
-lemma dim_eq_0 [simp]:
-  fixes S :: "'a::euclidean_space set"
-  shows "dim S = 0 \<longleftrightarrow> S \<subseteq> {0}"
-apply safe
-apply (metis DIM_positive DIM_real card_ge_dim_independent contra_subsetD dim_empty dim_insert dim_singleton empty_subsetI independent_empty less_not_refl zero_le)
-by (metis dim_singleton dim_subset le_0_eq)
-                  
-lemma aff_dim_insert:
-  fixes a :: "'a::euclidean_space"
-  shows "aff_dim (insert a S) = (if a \<in> affine hull S then aff_dim S else aff_dim S + 1)"
-proof (cases "S = {}")
-  case True then show ?thesis
-    by simp
-next
-  case False
-  then obtain x s' where S: "S = insert x s'" "x \<notin> s'"
-    by (meson Set.set_insert all_not_in_conv)
-  show ?thesis using S
-    apply (simp add: hull_redundant cong: aff_dim_affine_hull2)
-    apply (simp add: affine_hull_insert_span_gen hull_inc)
-    apply (simp add: insert_commute [of a] hull_inc aff_dim_eq_dim [of x] dim_insert span_0)
-    apply (metis (no_types, lifting) add_minus_cancel image_iff uminus_add_conv_diff)
-    done
-qed
-
-lemma subspace_bounded_eq_trivial:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "subspace S"
-    shows "bounded S \<longleftrightarrow> S = {0}"
-proof -
-  have "False" if "bounded S" "x \<in> S" "x \<noteq> 0" for x
-  proof -
-    obtain B where B: "\<And>y. y \<in> S \<Longrightarrow> norm y < B" "B > 0"
-      using \<open>bounded S\<close> by (force simp: bounded_pos_less)
-    have "(B / norm x) *\<^sub>R x \<in> S"
-      using assms subspace_mul \<open>x \<in> S\<close> by auto
-    moreover have "norm ((B / norm x) *\<^sub>R x) = B"
-      using that B by (simp add: algebra_simps)
-    ultimately show False using B by force
-  qed
-  then have "bounded S \<Longrightarrow> S = {0}"
-    using assms subspace_0 by fastforce
-  then show ?thesis
-    by blast
-qed
-
-lemma affine_bounded_eq_trivial:
-  fixes S :: "'a::real_normed_vector set"
-  assumes "affine S"
-    shows "bounded S \<longleftrightarrow> S = {} \<or> (\<exists>a. S = {a})"
-proof (cases "S = {}")
-  case True then show ?thesis
-    by simp
-next
-  case False
-  then obtain b where "b \<in> S" by blast
-  with False assms show ?thesis
-    apply safe
-    using affine_diffs_subspace [OF assms \<open>b \<in> S\<close>]
-    apply (metis (no_types, lifting) subspace_bounded_eq_trivial ab_left_minus bounded_translation
-                image_empty image_insert translation_invert)
-    apply force
-    done
-qed
-
-lemma affine_bounded_eq_lowdim:
-  fixes S :: "'a::euclidean_space set"
-  assumes "affine S"
-    shows "bounded S \<longleftrightarrow> aff_dim S \<le> 0"
-apply safe
-using affine_bounded_eq_trivial assms apply fastforce
-by (metis aff_dim_sing aff_dim_subset affine_dim_equal affine_sing all_not_in_conv assms bounded_empty bounded_insert dual_order.antisym empty_subsetI insert_subset)
-
-
-lemma bounded_hyperplane_eq_trivial_0:
-  fixes a :: "'a::euclidean_space"
-  assumes "a \<noteq> 0"
-  shows "bounded {x. a \<bullet> x = 0} \<longleftrightarrow> DIM('a) = 1"
-proof
-  assume "bounded {x. a \<bullet> x = 0}"
-  then have "aff_dim {x. a \<bullet> x = 0} \<le> 0"
-    by (simp add: affine_bounded_eq_lowdim affine_hyperplane)
-  with assms show "DIM('a) = 1"
-    by (simp add: le_Suc_eq aff_dim_hyperplane)
-next
-  assume "DIM('a) = 1"
-  then show "bounded {x. a \<bullet> x = 0}"
-    by (simp add: aff_dim_hyperplane affine_bounded_eq_lowdim affine_hyperplane assms)
-qed
-
-lemma bounded_hyperplane_eq_trivial:
-  fixes a :: "'a::euclidean_space"
-  shows "bounded {x. a \<bullet> x = r} \<longleftrightarrow> (if a = 0 then r \<noteq> 0 else DIM('a) = 1)"
-proof (simp add: bounded_hyperplane_eq_trivial_0, clarify)
-  assume "r \<noteq> 0" "a \<noteq> 0"
-  have "aff_dim {x. y \<bullet> x = 0} = aff_dim {x. a \<bullet> x = r}" if "y \<noteq> 0" for y::'a
-    by (metis that \<open>a \<noteq> 0\<close> aff_dim_hyperplane)
-  then show "bounded {x. a \<bullet> x = r} = (DIM('a) = Suc 0)"
-    by (metis One_nat_def \<open>a \<noteq> 0\<close> affine_bounded_eq_lowdim affine_hyperplane bounded_hyperplane_eq_trivial_0)
-qed
-
-subsection\<open>General case without assuming closure and getting non-strict separation\<close>
-
-proposition separating_hyperplane_closed_point_inset:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "closed S" "S \<noteq> {}" "z \<notin> S"
-  obtains a b where "a \<in> S" "(a - z) \<bullet> z < b" "\<And>x. x \<in> S \<Longrightarrow> b < (a - z) \<bullet> x"
-proof -
-  obtain y where "y \<in> S" and y: "\<And>u. u \<in> S \<Longrightarrow> dist z y \<le> dist z u"
-    using distance_attains_inf [of S z] assms by auto
-  then have *: "(y - z) \<bullet> z < (y - z) \<bullet> z + (norm (y - z))\<^sup>2 / 2"
-    using \<open>y \<in> S\<close> \<open>z \<notin> S\<close> by auto
-  show ?thesis
-  proof (rule that [OF \<open>y \<in> S\<close> *])
-    fix x
-    assume "x \<in> S"
-    have yz: "0 < (y - z) \<bullet> (y - z)"
-      using \<open>y \<in> S\<close> \<open>z \<notin> S\<close> by auto
-    { assume 0: "0 < ((z - y) \<bullet> (x - y))"
-      with any_closest_point_dot [OF \<open>convex S\<close> \<open>closed S\<close>]
-      have False
-        using y \<open>x \<in> S\<close> \<open>y \<in> S\<close> not_less by blast
-    }
-    then have "0 \<le> ((y - z) \<bullet> (x - y))"
-      by (force simp: not_less inner_diff_left)
-    with yz have "0 < 2 * ((y - z) \<bullet> (x - y)) + (y - z) \<bullet> (y - z)"
-      by (simp add: algebra_simps)
-    then show "(y - z) \<bullet> z + (norm (y - z))\<^sup>2 / 2 < (y - z) \<bullet> x"
-      by (simp add: field_simps inner_diff_left inner_diff_right dot_square_norm [symmetric])
-  qed
-qed
-
-lemma separating_hyperplane_closed_0_inset:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "closed S" "S \<noteq> {}" "0 \<notin> S"
-  obtains a b where "a \<in> S" "a \<noteq> 0" "0 < b" "\<And>x. x \<in> S \<Longrightarrow> a \<bullet> x > b"
-using separating_hyperplane_closed_point_inset [OF assms]
-by simp (metis \<open>0 \<notin> S\<close>)
-
-
-proposition separating_hyperplane_set_0_inspan:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "S \<noteq> {}" "0 \<notin> S"
-  obtains a where "a \<in> span S" "a \<noteq> 0" "\<And>x. x \<in> S \<Longrightarrow> 0 \<le> a \<bullet> x"
-proof -
-  define k where [abs_def]: "k c = {x. 0 \<le> c \<bullet> x}" for c :: 'a
-  have *: "span S \<inter> frontier (cball 0 1) \<inter> \<Inter>f' \<noteq> {}"
-          if f': "finite f'" "f' \<subseteq> k ` S" for f'
-  proof -
-    obtain C where "C \<subseteq> S" "finite C" and C: "f' = k ` C"
-      using finite_subset_image [OF f'] by blast
-    obtain a where "a \<in> S" "a \<noteq> 0"
-      using \<open>S \<noteq> {}\<close> \<open>0 \<notin> S\<close> ex_in_conv by blast
-    then have "norm (a /\<^sub>R (norm a)) = 1"
-      by simp
-    moreover have "a /\<^sub>R (norm a) \<in> span S"
-      by (simp add: \<open>a \<in> S\<close> span_mul span_superset)
-    ultimately have ass: "a /\<^sub>R (norm a) \<in> span S \<inter> sphere 0 1"
-      by simp
-    show ?thesis
-    proof (cases "C = {}")
-      case True with C ass show ?thesis
-        by auto
-    next
-      case False
-      have "closed (convex hull C)"
-        using \<open>finite C\<close> compact_eq_bounded_closed finite_imp_compact_convex_hull by auto
-      moreover have "convex hull C \<noteq> {}"
-        by (simp add: False)
-      moreover have "0 \<notin> convex hull C"
-        by (metis \<open>C \<subseteq> S\<close> \<open>convex S\<close> \<open>0 \<notin> S\<close> convex_hull_subset hull_same insert_absorb insert_subset)
-      ultimately obtain a b
-            where "a \<in> convex hull C" "a \<noteq> 0" "0 < b"
-                  and ab: "\<And>x. x \<in> convex hull C \<Longrightarrow> a \<bullet> x > b"
-        using separating_hyperplane_closed_0_inset by blast
-      then have "a \<in> S"
-        by (metis \<open>C \<subseteq> S\<close> assms(1) subsetCE subset_hull)
-      moreover have "norm (a /\<^sub>R (norm a)) = 1"
-        using \<open>a \<noteq> 0\<close> by simp
-      moreover have "a /\<^sub>R (norm a) \<in> span S"
-        by (simp add: \<open>a \<in> S\<close> span_mul span_superset)
-      ultimately have ass: "a /\<^sub>R (norm a) \<in> span S \<inter> sphere 0 1"
-        by simp
-      have aa: "a /\<^sub>R (norm a) \<in> (\<Inter>c\<in>C. {x. 0 \<le> c \<bullet> x})"
-        apply (clarsimp simp add: divide_simps)
-        using ab \<open>0 < b\<close>
-        by (metis hull_inc inner_commute less_eq_real_def less_trans)
-      show ?thesis
-        apply (simp add: C k_def)
-        using ass aa Int_iff empty_iff by blast
-    qed
-  qed
-  have "(span S \<inter> frontier(cball 0 1)) \<inter> (\<Inter> (k ` S)) \<noteq> {}"
-    apply (rule compact_imp_fip)
-    apply (blast intro: compact_cball)
-    using closed_halfspace_ge k_def apply blast
-    apply (metis *)
-    done
-  then show ?thesis
-    unfolding set_eq_iff k_def
-    by simp (metis inner_commute norm_eq_zero that zero_neq_one)
-qed
-
-
-lemma separating_hyperplane_set_point_inaff:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "S \<noteq> {}" and zno: "z \<notin> S"
-  obtains a b where "(z + a) \<in> affine hull (insert z S)"
-                and "a \<noteq> 0" and "a \<bullet> z \<le> b"
-                and "\<And>x. x \<in> S \<Longrightarrow> a \<bullet> x \<ge> b"
-proof -
-from separating_hyperplane_set_0_inspan [of "image (\<lambda>x. -z + x) S"]
-  have "convex (op + (- z) ` S)"
-    by (simp add: \<open>convex S\<close>)
-  moreover have "op + (- z) ` S \<noteq> {}"
-    by (simp add: \<open>S \<noteq> {}\<close>)
-  moreover have "0 \<notin> op + (- z) ` S"
-    using zno by auto
-  ultimately obtain a where "a \<in> span (op + (- z) ` S)" "a \<noteq> 0"
-                  and a:  "\<And>x. x \<in> (op + (- z) ` S) \<Longrightarrow> 0 \<le> a \<bullet> x"
-    using separating_hyperplane_set_0_inspan [of "image (\<lambda>x. -z + x) S"]
-    by blast
-  then have szx: "\<And>x. x \<in> S \<Longrightarrow> a \<bullet> z \<le> a \<bullet> x"
-    by (metis (no_types, lifting) imageI inner_minus_right inner_right_distrib minus_add neg_le_0_iff_le neg_le_iff_le real_add_le_0_iff)
-  show ?thesis
-    apply (rule_tac a=a and b = "a  \<bullet> z" in that, simp_all)
-    using \<open>a \<in> span (op + (- z) ` S)\<close> affine_hull_insert_span_gen apply blast
-    apply (simp_all add: \<open>a \<noteq> 0\<close> szx)
-    done
-qed
-
-proposition supporting_hyperplane_rel_boundary:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "x \<in> S" and xno: "x \<notin> rel_interior S"
-  obtains a where "a \<noteq> 0"
-              and "\<And>y. y \<in> S \<Longrightarrow> a \<bullet> x \<le> a \<bullet> y"
-              and "\<And>y. y \<in> rel_interior S \<Longrightarrow> a \<bullet> x < a \<bullet> y"
-proof -
-  obtain a b where aff: "(x + a) \<in> affine hull (insert x (rel_interior S))"
-                  and "a \<noteq> 0" and "a \<bullet> x \<le> b"
-                  and ageb: "\<And>u. u \<in> (rel_interior S) \<Longrightarrow> a \<bullet> u \<ge> b"
-    using separating_hyperplane_set_point_inaff [of "rel_interior S" x] assms
-    by (auto simp: rel_interior_eq_empty convex_rel_interior)
-  have le_ay: "a \<bullet> x \<le> a \<bullet> y" if "y \<in> S" for y
-  proof -
-    have con: "continuous_on (closure (rel_interior S)) (op \<bullet> a)"
-      by (rule continuous_intros continuous_on_subset | blast)+
-    have y: "y \<in> closure (rel_interior S)"
-      using \<open>convex S\<close> closure_def convex_closure_rel_interior \<open>y \<in> S\<close>
-      by fastforce
-    show ?thesis
-      using continuous_ge_on_closure [OF con y] ageb \<open>a \<bullet> x \<le> b\<close>
-      by fastforce
-  qed
-  have 3: "a \<bullet> x < a \<bullet> y" if "y \<in> rel_interior S" for y
-  proof -
-    obtain e where "0 < e" "y \<in> S" and e: "cball y e \<inter> affine hull S \<subseteq> S"
-      using \<open>y \<in> rel_interior S\<close> by (force simp: rel_interior_cball)
-    define y' where "y' = y - (e / norm a) *\<^sub>R ((x + a) - x)"
-    have "y' \<in> cball y e"
-      unfolding y'_def using \<open>0 < e\<close> by force
-    moreover have "y' \<in> affine hull S"
-      unfolding y'_def
-      by (metis \<open>x \<in> S\<close> \<open>y \<in> S\<close> \<open>convex S\<close> aff affine_affine_hull hull_redundant
-                rel_interior_same_affine_hull hull_inc mem_affine_3_minus2)
-    ultimately have "y' \<in> S"
-      using e by auto
-    have "a \<bullet> x \<le> a \<bullet> y"
-      using le_ay \<open>a \<noteq> 0\<close> \<open>y \<in> S\<close> by blast
-    moreover have "a \<bullet> x \<noteq> a \<bullet> y"
-      using le_ay [OF \<open>y' \<in> S\<close>] \<open>a \<noteq> 0\<close>
-      apply (simp add: y'_def inner_diff dot_square_norm power2_eq_square)
-      by (metis \<open>0 < e\<close> add_le_same_cancel1 inner_commute inner_real_def inner_zero_left le_diff_eq norm_le_zero_iff real_mult_le_cancel_iff2)
-    ultimately show ?thesis by force
-  qed
-  show ?thesis
-    by (rule that [OF \<open>a \<noteq> 0\<close> le_ay 3])
-qed
-
-lemma supporting_hyperplane_relative_frontier:
-  fixes S :: "'a::euclidean_space set"
-  assumes "convex S" "x \<in> closure S" "x \<notin> rel_interior S"
-  obtains a where "a \<noteq> 0"
-              and "\<And>y. y \<in> closure S \<Longrightarrow> a \<bullet> x \<le> a \<bullet> y"
-              and "\<And>y. y \<in> rel_interior S \<Longrightarrow> a \<bullet> x < a \<bullet> y"
-using supporting_hyperplane_rel_boundary [of "closure S" x]
-by (metis assms convex_closure convex_rel_interior_closure)
-
-
-subsection\<open> Some results on decomposing convex hulls: intersections, simplicial subdivision\<close>
-
-lemma
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ (affine_dependent(s \<union> t))"
-    shows convex_hull_Int_subset: "convex hull s \<inter> convex hull t \<subseteq> convex hull (s \<inter> t)" (is ?C)
-      and affine_hull_Int_subset: "affine hull s \<inter> affine hull t \<subseteq> affine hull (s \<inter> t)" (is ?A)
-proof -
-  have [simp]: "finite s" "finite t"
-    using aff_independent_finite assms by blast+
-    have "sum u (s \<inter> t) = 1 \<and>
-          (\<Sum>v\<in>s \<inter> t. u v *\<^sub>R v) = (\<Sum>v\<in>s. u v *\<^sub>R v)"
-      if [simp]:  "sum u s = 1"
-                 "sum v t = 1"
-         and eq: "(\<Sum>x\<in>t. v x *\<^sub>R x) = (\<Sum>x\<in>s. u x *\<^sub>R x)" for u v
-    proof -
-    define f where "f x = (if x \<in> s then u x else 0) - (if x \<in> t then v x else 0)" for x
-    have "sum f (s \<union> t) = 0"
-      apply (simp add: f_def sum_Un sum_subtractf)
-      apply (simp add: sum.inter_restrict [symmetric] Int_commute)
-      done
-    moreover have "(\<Sum>x\<in>(s \<union> t). f x *\<^sub>R x) = 0"
-      apply (simp add: f_def sum_Un scaleR_left_diff_distrib sum_subtractf)
-      apply (simp add: if_smult sum.inter_restrict [symmetric] Int_commute eq
-          cong del: if_weak_cong)
-      done
-    ultimately have "\<And>v. v \<in> s \<union> t \<Longrightarrow> f v = 0"
-      using aff_independent_finite assms unfolding affine_dependent_explicit
-      by blast
-    then have u [simp]: "\<And>x. x \<in> s \<Longrightarrow> u x = (if x \<in> t then v x else 0)"
-      by (simp add: f_def) presburger
-    have "sum u (s \<inter> t) = sum u s"
-      by (simp add: sum.inter_restrict)
-    then have "sum u (s \<inter> t) = 1"
-      using that by linarith
-    moreover have "(\<Sum>v\<in>s \<inter> t. u v *\<^sub>R v) = (\<Sum>v\<in>s. u v *\<^sub>R v)"
-      by (auto simp: if_smult sum.inter_restrict intro: sum.cong)
-    ultimately show ?thesis
-      by force
-    qed
-    then show ?A ?C
-      by (auto simp: convex_hull_finite affine_hull_finite)
-qed
-
-
-proposition affine_hull_Int:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ (affine_dependent(s \<union> t))"
-    shows "affine hull (s \<inter> t) = affine hull s \<inter> affine hull t"
-apply (rule subset_antisym)
-apply (simp add: hull_mono)
-by (simp add: affine_hull_Int_subset assms)
-
-proposition convex_hull_Int:
-  fixes s :: "'a::euclidean_space set"
-  assumes "~ (affine_dependent(s \<union> t))"
-    shows "convex hull (s \<inter> t) = convex hull s \<inter> convex hull t"
-apply (rule subset_antisym)
-apply (simp add: hull_mono)
-by (simp add: convex_hull_Int_subset assms)
-
-proposition
-  fixes s :: "'a::euclidean_space set set"
-  assumes "~ (affine_dependent (\<Union>s))"
-    shows affine_hull_Inter: "affine hull (\<Inter>s) = (\<Inter>t\<in>s. affine hull t)" (is "?A")
-      and convex_hull_Inter: "convex hull (\<Inter>s) = (\<Inter>t\<in>s. convex hull t)" (is "?C")
-proof -
-  have "finite s"
-    using aff_independent_finite assms finite_UnionD by blast
-  then have "?A \<and> ?C" using assms
-  proof (induction s rule: finite_induct)
-    case empty then show ?case by auto
-  next
-    case (insert t F)
-    then show ?case
-    proof (cases "F={}")
-      case True then show ?thesis by simp
-    next
-      case False
-      with "insert.prems" have [simp]: "\<not> affine_dependent (t \<union> \<Inter>F)"
-        by (auto intro: affine_dependent_subset)
-      have [simp]: "\<not> affine_dependent (\<Union>F)"
-        using affine_independent_subset insert.prems by fastforce
-      show ?thesis
-        by (simp add: affine_hull_Int convex_hull_Int insert.IH)
-    qed
-  qed
-  then show "?A" "?C"
-    by auto
-qed
-
-proposition in_convex_hull_exchange_unique:
-  fixes S :: "'a::euclidean_space set"
-  assumes naff: "~ affine_dependent S" and a: "a \<in> convex hull S"
-      and S: "T \<subseteq> S" "T' \<subseteq> S"
-      and x:  "x \<in> convex hull (insert a T)"
-      and x': "x \<in> convex hull (insert a T')"
-    shows "x \<in> convex hull (insert a (T \<inter> T'))"
-proof (cases "a \<in> S")
-  case True
-  then have "\<not> affine_dependent (insert a T \<union> insert a T')"
-    using affine_dependent_subset assms by auto
-  then have "x \<in> convex hull (insert a T \<inter> insert a T')"
-    by (metis IntI convex_hull_Int x x')
-  then show ?thesis
-    by simp
-next
-  case False
-  then have anot: "a \<notin> T" "a \<notin> T'"
-    using assms by auto
-  have [simp]: "finite S"
-    by (simp add: aff_independent_finite assms)
-  then obtain b where b0: "\<And>s. s \<in> S \<Longrightarrow> 0 \<le> b s"
-                  and b1: "sum b S = 1" and aeq: "a = (\<Sum>s\<in>S. b s *\<^sub>R s)"
-    using a by (auto simp: convex_hull_finite)
-  have fin [simp]: "finite T" "finite T'"
-    using assms infinite_super \<open>finite S\<close> by blast+
-  then obtain c c' where c0: "\<And>t. t \<in> insert a T \<Longrightarrow> 0 \<le> c t"
-                     and c1: "sum c (insert a T) = 1"
-                     and xeq: "x = (\<Sum>t \<in> insert a T. c t *\<^sub>R t)"
-                     and c'0: "\<And>t. t \<in> insert a T' \<Longrightarrow> 0 \<le> c' t"
-                     and c'1: "sum c' (insert a T') = 1"
-                     and x'eq: "x = (\<Sum>t \<in> insert a T'. c' t *\<^sub>R t)"
-    using x x' by (auto simp: convex_hull_finite)
-  with fin anot
-  have sumTT': "sum c T = 1 - c a" "sum c' T' = 1 - c' a"
-   and wsumT: "(\<Sum>t \<in> T. c t *\<^sub>R t) = x - c a *\<^sub>R a"
-    by simp_all
-  have wsumT': "(\<Sum>t \<in> T'. c' t *\<^sub>R t) = x - c' a *\<^sub>R a"
-    using x'eq fin anot by simp
-  define cc  where "cc \<equiv> \<lambda>x. if x \<in> T then c x else 0"
-  define cc' where "cc' \<equiv> \<lambda>x. if x \<in> T' then c' x else 0"
-  define dd  where "dd \<equiv> \<lambda>x. cc x - cc' x + (c a - c' a) * b x"
-  have sumSS': "sum cc S = 1 - c a" "sum cc' S = 1 - c' a"
-    unfolding cc_def cc'_def  using S
-    by (simp_all add: Int_absorb1 Int_absorb2 sum_subtractf sum.inter_restrict [symmetric] sumTT')
-  have wsumSS: "(\<Sum>t \<in> S. cc t *\<^sub>R t) = x - c a *\<^sub>R a" "(\<Sum>t \<in> S. cc' t *\<^sub>R t) = x - c' a *\<^sub>R a"
-    unfolding cc_def cc'_def  using S
-    by (simp_all add: Int_absorb1 Int_absorb2 if_smult sum.inter_restrict [symmetric] wsumT wsumT' cong: if_cong)
-  have sum_dd0: "sum dd S = 0"
-    unfolding dd_def  using S
-    by (simp add: sumSS' comm_monoid_add_class.sum.distrib sum_subtractf
-                  algebra_simps sum_distrib_right [symmetric] b1)
-  have "(\<Sum>v\<in>S. (b v * x) *\<^sub>R v) = x *\<^sub>R (\<Sum>v\<in>S. b v *\<^sub>R v)" for x
-    by (simp add: pth_5 real_vector.scale_sum_right mult.commute)
-  then have *: "(\<Sum>v\<in>S. (b v * x) *\<^sub>R v) = x *\<^sub>R a" for x
-    using aeq by blast
-  have "(\<Sum>v \<in> S. dd v *\<^sub>R v) = 0"
-    unfolding dd_def using S
-    by (simp add: * wsumSS sum.distrib sum_subtractf algebra_simps)
-  then have dd0: "dd v = 0" if "v \<in> S" for v
-    using naff that \<open>finite S\<close> sum_dd0 unfolding affine_dependent_explicit
-    apply (simp only: not_ex)
-    apply (drule_tac x=S in spec)
-    apply (drule_tac x=dd in spec, simp)
-    done
-  consider "c' a \<le> c a" | "c a \<le> c' a" by linarith
-  then show ?thesis
-  proof cases
-    case 1
-    then have "sum cc S \<le> sum cc' S"
-      by (simp add: sumSS')
-    then have le: "cc x \<le> cc' x" if "x \<in> S" for x
-      using dd0 [OF that] 1 b0 mult_left_mono that
-      by (fastforce simp add: dd_def algebra_simps)
-    have cc0: "cc x = 0" if "x \<in> S" "x \<notin> T \<inter> T'" for x
-      using le [OF \<open>x \<in> S\<close>] that c0
-      by (force simp: cc_def cc'_def split: if_split_asm)
-    show ?thesis
-    proof (simp add: convex_hull_finite, intro exI conjI)
-      show "\<forall>x\<in>T \<inter> T'. 0 \<le> (cc(a := c a)) x"
-        by (simp add: c0 cc_def)
-      show "0 \<le> (cc(a := c a)) a"
-        by (simp add: c0)
-      have "sum (cc(a := c a)) (insert a (T \<inter> T')) = c a + sum (cc(a := c a)) (T \<inter> T')"
-        by (simp add: anot)
-      also have "... = c a + sum (cc(a := c a)) S"
-        apply simp
-        apply (rule sum.mono_neutral_left)
-        using \<open>T \<subseteq> S\<close> apply (auto simp: \<open>a \<notin> S\<close> cc0)
-        done
-      also have "... = c a + (1 - c a)"
-        by (metis \<open>a \<notin> S\<close> fun_upd_other sum.cong sumSS')
-      finally show "sum (cc(a := c a)) (insert a (T \<inter> T')) = 1"
-        by simp
-      have "(\<Sum>x\<in>insert a (T \<inter> T'). (cc(a := c a)) x *\<^sub>R x) = c a *\<^sub>R a + (\<Sum>x \<in> T \<inter> T'. (cc(a := c a)) x *\<^sub>R x)"
-        by (simp add: anot)
-      also have "... = c a *\<^sub>R a + (\<Sum>x \<in> S. (cc(a := c a)) x *\<^sub>R x)"
-        apply simp
-        apply (rule sum.mono_neutral_left)
-        using \<open>T \<subseteq> S\<close> apply (auto simp: \<open>a \<notin> S\<close> cc0)
-        done
-      also have "... = c a *\<^sub>R a + x - c a *\<^sub>R a"
-        by (simp add: wsumSS \<open>a \<notin> S\<close> if_smult sum_delta_notmem)
-      finally show "(\<Sum>x\<in>insert a (T \<inter> T'). (cc(a := c a)) x *\<^sub>R x) = x"
-        by simp
-    qed
-  next
-    case 2
-    then have "sum cc' S \<le> sum cc S"
-      by (simp add: sumSS')
-    then have le: "cc' x \<le> cc x" if "x \<in> S" for x
-      using dd0 [OF that] 2 b0 mult_left_mono that
-      by (fastforce simp add: dd_def algebra_simps)
-    have cc0: "cc' x = 0" if "x \<in> S" "x \<notin> T \<inter> T'" for x
-      using le [OF \<open>x \<in> S\<close>] that c'0
-      by (force simp: cc_def cc'_def split: if_split_asm)
-    show ?thesis
-    proof (simp add: convex_hull_finite, intro exI conjI)
-      show "\<forall>x\<in>T \<inter> T'. 0 \<le> (cc'(a := c' a)) x"
-        by (simp add: c'0 cc'_def)
-      show "0 \<le> (cc'(a := c' a)) a"
-        by (simp add: c'0)
-      have "sum (cc'(a := c' a)) (insert a (T \<inter> T')) = c' a + sum (cc'(a := c' a)) (T \<inter> T')"
-        by (simp add: anot)
-      also have "... = c' a + sum (cc'(a := c' a)) S"
-        apply simp
-        apply (rule sum.mono_neutral_left)
-        using \<open>T \<subseteq> S\<close> apply (auto simp: \<open>a \<notin> S\<close> cc0)
-        done
-      also have "... = c' a + (1 - c' a)"
-        by (metis \<open>a \<notin> S\<close> fun_upd_other sum.cong sumSS')
-      finally show "sum (cc'(a := c' a)) (insert a (T \<inter> T')) = 1"
-        by simp
-      have "(\<Sum>x\<in>insert a (T \<inter> T'). (cc'(a := c' a)) x *\<^sub>R x) = c' a *\<^sub>R a + (\<Sum>x \<in> T \<inter> T'. (cc'(a := c' a)) x *\<^sub>R x)"
-        by (simp add: anot)
-      also have "... = c' a *\<^sub>R a + (\<Sum>x \<in> S. (cc'(a := c' a)) x *\<^sub>R x)"
-        apply simp
-        apply (rule sum.mono_neutral_left)
-        using \<open>T \<subseteq> S\<close> apply (auto simp: \<open>a \<notin> S\<close> cc0)
-        done
-      also have "... = c a *\<^sub>R a + x - c a *\<^sub>R a"
-        by (simp add: wsumSS \<open>a \<notin> S\<close> if_smult sum_delta_notmem)
-      finally show "(\<Sum>x\<in>insert a (T \<inter> T'). (cc'(a := c' a)) x *\<^sub>R x) = x"
-        by simp
-    qed
-  qed
-qed
-
-corollary convex_hull_exchange_Int:
-  fixes a  :: "'a::euclidean_space"
-  assumes "~ affine_dependent S" "a \<in> convex hull S" "T \<subseteq> S" "T' \<subseteq> S"
-  shows "(convex hull (insert a T)) \<inter> (convex hull (insert a T')) =
-         convex hull (insert a (T \<inter> T'))"
-apply (rule subset_antisym)
-  using in_convex_hull_exchange_unique assms apply blast
-  by (metis hull_mono inf_le1 inf_le2 insert_inter_insert le_inf_iff)
-
-lemma Int_closed_segment:
-  fixes b :: "'a::euclidean_space"
-  assumes "b \<in> closed_segment a c \<or> ~collinear{a,b,c}"
-    shows "closed_segment a b \<inter> closed_segment b c = {b}"
-proof (cases "c = a")
-  case True
-  then show ?thesis
-    using assms collinear_3_eq_affine_dependent by fastforce
-next
-  case False
-  from assms show ?thesis
-  proof
-    assume "b \<in> closed_segment a c"
-    moreover have "\<not> affine_dependent {a, c}"
-      by (simp add: affine_independent_2)
-    ultimately show ?thesis
-      using False convex_hull_exchange_Int [of "{a,c}" b "{a}" "{c}"]
-      by (simp add: segment_convex_hull insert_commute)
-  next
-    assume ncoll: "\<not> collinear {a, b, c}"
-    have False if "closed_segment a b \<inter> closed_segment b c \<noteq> {b}"
-    proof -
-      have "b \<in> closed_segment a b" and "b \<in> closed_segment b c"
-        by auto
-      with that obtain d where "b \<noteq> d" "d \<in> closed_segment a b" "d \<in> closed_segment b c"
-        by force
-      then have d: "collinear {a, d, b}"  "collinear {b, d, c}"
-        by (auto simp:  between_mem_segment between_imp_collinear)
-      have "collinear {a, b, c}"
-        apply (rule collinear_3_trans [OF _ _ \<open>b \<noteq> d\<close>])
-        using d  by (auto simp: insert_commute)
-      with ncoll show False ..
-    qed
-    then show ?thesis
-      by blast
-  qed
-qed
-
-lemma affine_hull_finite_intersection_hyperplanes:
-  fixes s :: "'a::euclidean_space set"
-  obtains f where
-     "finite f"
-     "of_nat (card f) + aff_dim s = DIM('a)"
-     "affine hull s = \<Inter>f"
-     "\<And>h. h \<in> f \<Longrightarrow> \<exists>a b. a \<noteq> 0 \<and> h = {x. a \<bullet> x = b}"
-proof -
-  obtain b where "b \<subseteq> s"
-             and indb: "\<not> affine_dependent b"
-             and eq: "affine hull s = affine hull b"
-    using affine_basis_exists by blast
-  obtain c where indc: "\<not> affine_dependent c" and "b \<subseteq> c"
-             and affc: "affine hull c = UNIV"
-    by (metis extend_to_affine_basis affine_UNIV hull_same indb subset_UNIV)
-  then have "finite c"
-    by (simp add: aff_independent_finite)
-  then have fbc: "finite b" "card b \<le> card c"
-    using \<open>b \<subseteq> c\<close> infinite_super by (auto simp: card_mono)
-  have imeq: "(\<lambda>x. affine hull x) ` ((\<lambda>a. c - {a}) ` (c - b)) = ((\<lambda>a. affine hull (c - {a})) ` (c - b))"
-    by blast
-  have card1: "card ((\<lambda>a. affine hull (c - {a})) ` (c - b)) = card (c - b)"
-    apply (rule card_image [OF inj_onI])
-    by (metis Diff_eq_empty_iff Diff_iff indc affine_dependent_def hull_subset insert_iff)
-  have card2: "(card (c - b)) + aff_dim s = DIM('a)"
-  proof -
-    have aff: "aff_dim (UNIV::'a set) = aff_dim c"
-      by (metis aff_dim_affine_hull affc)
-    have "aff_dim b = aff_dim s"
-      by (metis (no_types) aff_dim_affine_hull eq)
-    then have "int (card b) = 1 + aff_dim s"
-      by (simp add: aff_dim_affine_independent indb)
-    then show ?thesis
-      using fbc aff
-      by (simp add: \<open>\<not> affine_dependent c\<close> \<open>b \<subseteq> c\<close> aff_dim_affine_independent aff_dim_UNIV card_Diff_subset of_nat_diff)
-  qed
-  show ?thesis
-  proof (cases "c = b")
-    case True show ?thesis
-      apply (rule_tac f="{}" in that)
-      using True affc
-      apply (simp_all add: eq [symmetric])
-      by (metis aff_dim_UNIV aff_dim_affine_hull)
-  next
-    case False
-    have ind: "\<not> affine_dependent (\<Union>a\<in>c - b. c - {a})"
-      by (rule affine_independent_subset [OF indc]) auto
-    have affeq: "affine hull s = (\<Inter>x\<in>(\<lambda>a. c - {a}) ` (c - b). affine hull x)"
-      using \<open>b \<subseteq> c\<close> False
-      apply (subst affine_hull_Inter [OF ind, symmetric])
-      apply (simp add: eq double_diff)
-      done
-    have *: "1 + aff_dim (c - {t}) = int (DIM('a))"
-            if t: "t \<in> c" for t
-    proof -
-      have "insert t c = c"
-        using t by blast
-      then show ?thesis
-        by (metis (full_types) add.commute aff_dim_affine_hull aff_dim_insert aff_dim_UNIV affc affine_dependent_def indc insert_Diff_single t)
-    qed
-    show ?thesis
-      apply (rule_tac f = "(\<lambda>x. affine hull x) ` ((\<lambda>a. c - {a}) ` (c - b))" in that)
-         using \<open>finite c\<close> apply blast
-        apply (simp add: imeq card1 card2)
-      apply (simp add: affeq, clarify)
-      apply (metis DIM_positive One_nat_def Suc_leI add_diff_cancel_left' of_nat_1 aff_dim_eq_hyperplane of_nat_diff *)
-      done
-  qed
-qed
-
-subsection\<open>Misc results about span\<close>
-
-lemma eq_span_insert_eq:
-  assumes "(x - y) \<in> span S"
-    shows "span(insert x S) = span(insert y S)"
-proof -
-  have *: "span(insert x S) \<subseteq> span(insert y S)" if "(x - y) \<in> span S" for x y
-  proof -
-    have 1: "(r *\<^sub>R x - r *\<^sub>R y) \<in> span S" for r
-      by (metis real_vector.scale_right_diff_distrib span_mul that)
-    have 2: "(z - k *\<^sub>R y) - k *\<^sub>R (x - y) = z - k *\<^sub>R x" for  z k
-      by (simp add: real_vector.scale_right_diff_distrib)
-  show ?thesis
-    apply (clarsimp simp add: span_breakdown_eq)
-    by (metis 1 2 diff_add_cancel real_vector.scale_right_diff_distrib span_add_eq)
-  qed
-  show ?thesis
-    apply (intro subset_antisym * assms)
-    using assms subspace_neg subspace_span minus_diff_eq by force
-qed
-
-lemma dim_psubset:
-    fixes S :: "'a :: euclidean_space set"
-    shows "span S \<subset> span T \<Longrightarrow> dim S < dim T"
-by (metis (no_types, hide_lams) dim_span less_le not_le subspace_dim_equal subspace_span)
-
-
-lemma basis_subspace_exists:
-  fixes S :: "'a::euclidean_space set"
-  shows
-   "subspace S
-        \<Longrightarrow> \<exists>b. finite b \<and> b \<subseteq> S \<and>
-                independent b \<and> span b = S \<and> card b = dim S"
-by (metis span_subspace basis_exists independent_imp_finite)
-
-lemma affine_hyperplane_sums_eq_UNIV_0:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "affine S"
-     and "0 \<in> S" and "w \<in> S"
-     and "a \<bullet> w \<noteq> 0"
-   shows "{x + y| x y. x \<in> S \<and> a \<bullet> y = 0} = UNIV"
-proof -
-  have "subspace S"
-    by (simp add: assms subspace_affine)
-  have span1: "span {y. a \<bullet> y = 0} \<subseteq> span {x + y |x y. x \<in> S \<and> a \<bullet> y = 0}"
-    apply (rule span_mono)
-    using \<open>0 \<in> S\<close> add.left_neutral by force
-  have "w \<notin> span {y. a \<bullet> y = 0}"
-    using \<open>a \<bullet> w \<noteq> 0\<close> span_induct subspace_hyperplane by auto
-  moreover have "w \<in> span {x + y |x y. x \<in> S \<and> a \<bullet> y = 0}"
-    using \<open>w \<in> S\<close>
-    by (metis (mono_tags, lifting) inner_zero_right mem_Collect_eq pth_d span_superset)
-  ultimately have span2: "span {y. a \<bullet> y = 0} \<noteq> span {x + y |x y. x \<in> S \<and> a \<bullet> y = 0}"
-    by blast
-  have "a \<noteq> 0" using assms inner_zero_left by blast
-  then have "DIM('a) - 1 = dim {y. a \<bullet> y = 0}"
-    by (simp add: dim_hyperplane)
-  also have "... < dim {x + y |x y. x \<in> S \<and> a \<bullet> y = 0}"
-    using span1 span2 by (blast intro: dim_psubset)
-  finally have DIM_lt: "DIM('a) - 1 < dim {x + y |x y. x \<in> S \<and> a \<bullet> y = 0}" .
-  have subs: "subspace {x + y| x y. x \<in> S \<and> a \<bullet> y = 0}"
-    using subspace_sums [OF \<open>subspace S\<close> subspace_hyperplane] by simp
-  moreover have "span {x + y| x y. x \<in> S \<and> a \<bullet> y = 0} = UNIV"
-    apply (rule dim_eq_full [THEN iffD1])
-    apply (rule antisym [OF dim_subset_UNIV])
-    using DIM_lt apply simp
-    done
-  ultimately show ?thesis
-    by (simp add: subs) (metis (lifting) span_eq subs)
-qed
-
-proposition affine_hyperplane_sums_eq_UNIV:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "affine S"
-      and "S \<inter> {v. a \<bullet> v = b} \<noteq> {}"
-      and "S - {v. a \<bullet> v = b} \<noteq> {}"
-    shows "{x + y| x y. x \<in> S \<and> a \<bullet> y = b} = UNIV"
-proof (cases "a = 0")
-  case True with assms show ?thesis
-    by (auto simp: if_splits)
-next
-  case False
-  obtain c where "c \<in> S" and c: "a \<bullet> c = b"
-    using assms by force
-  with affine_diffs_subspace [OF \<open>affine S\<close>]
-  have "subspace (op + (- c) ` S)" by blast
-  then have aff: "affine (op + (- c) ` S)"
-    by (simp add: subspace_imp_affine)
-  have 0: "0 \<in> op + (- c) ` S"
-    by (simp add: \<open>c \<in> S\<close>)
-  obtain d where "d \<in> S" and "a \<bullet> d \<noteq> b" and dc: "d-c \<in> op + (- c) ` S"
-    using assms by auto
-  then have adc: "a \<bullet> (d - c) \<noteq> 0"
-    by (simp add: c inner_diff_right)
-  let ?U = "op + (c+c) ` {x + y |x y. x \<in> op + (- c) ` S \<and> a \<bullet> y = 0}"
-  have "u + v \<in> op + (c + c) ` {x + v |x v. x \<in> op + (- c) ` S \<and> a \<bullet> v = 0}"
-              if "u \<in> S" "b = a \<bullet> v" for u v
-    apply (rule_tac x="u+v-c-c" in image_eqI)
-    apply (simp_all add: algebra_simps)
-    apply (rule_tac x="u-c" in exI)
-    apply (rule_tac x="v-c" in exI)
-    apply (simp add: algebra_simps that c)
-    done
-  moreover have "\<lbrakk>a \<bullet> v = 0; u \<in> S\<rbrakk>
-       \<Longrightarrow> \<exists>x ya. v + (u + c) = x + ya \<and> x \<in> S \<and> a \<bullet> ya = b" for v u
-    by (metis add.left_commute c inner_right_distrib pth_d)
-  ultimately have "{x + y |x y. x \<in> S \<and> a \<bullet> y = b} = ?U"
-    by (fastforce simp: algebra_simps)
-  also have "... = op + (c+c) ` UNIV"
-    by (simp add: affine_hyperplane_sums_eq_UNIV_0 [OF aff 0 dc adc])
-  also have "... = UNIV"
-    by (simp add: translation_UNIV)
-  finally show ?thesis .
-qed
-
-proposition dim_sums_Int:
-    fixes S :: "'a :: euclidean_space set"
-  assumes "subspace S" "subspace T"
-  shows "dim {x + y |x y. x \<in> S \<and> y \<in> T} + dim(S \<inter> T) = dim S + dim T"
-proof -
-  obtain B where B: "B \<subseteq> S \<inter> T" "S \<inter> T \<subseteq> span B"
-             and indB: "independent B"
-             and cardB: "card B = dim (S \<inter> T)"
-    using basis_exists by blast
-  then obtain C D where "B \<subseteq> C" "C \<subseteq> S" "independent C" "S \<subseteq> span C"
-                    and "B \<subseteq> D" "D \<subseteq> T" "independent D" "T \<subseteq> span D"
-    using maximal_independent_subset_extend
-    by (metis Int_subset_iff \<open>B \<subseteq> S \<inter> T\<close> indB)
-  then have "finite B" "finite C" "finite D"
-    by (simp_all add: independent_imp_finite indB independent_bound)
-  have Beq: "B = C \<inter> D"
-    apply (rule sym)
-    apply (rule spanning_subset_independent)
-    using \<open>B \<subseteq> C\<close> \<open>B \<subseteq> D\<close> apply blast
-    apply (meson \<open>independent C\<close> independent_mono inf.cobounded1)
-    using B \<open>C \<subseteq> S\<close> \<open>D \<subseteq> T\<close> apply auto
-    done
-  then have Deq: "D = B \<union> (D - C)"
-    by blast
-  have CUD: "C \<union> D \<subseteq> {x + y |x y. x \<in> S \<and> y \<in> T}"
-    apply safe
-    apply (metis add.right_neutral subsetCE \<open>C \<subseteq> S\<close> \<open>subspace T\<close> set_eq_subset span_0 span_minimal)
-    apply (metis add.left_neutral subsetCE \<open>D \<subseteq> T\<close> \<open>subspace S\<close> set_eq_subset span_0 span_minimal)
-    done
-  have "a v = 0" if 0: "(\<Sum>v\<in>C. a v *\<^sub>R v) + (\<Sum>v\<in>D - C. a v *\<^sub>R v) = 0"
-                 and v: "v \<in> C \<union> (D-C)" for a v
-  proof -
-    have eq: "(\<Sum>v\<in>D - C. a v *\<^sub>R v) = - (\<Sum>v\<in>C. a v *\<^sub>R v)"
-      using that add_eq_0_iff by blast
-    have "(\<Sum>v\<in>D - C. a v *\<^sub>R v) \<in> S"
-      apply (subst eq)
-      apply (rule subspace_neg [OF \<open>subspace S\<close>])
-      apply (rule subspace_sum [OF \<open>subspace S\<close>])
-      by (meson subsetCE subspace_mul \<open>C \<subseteq> S\<close> \<open>subspace S\<close>)
-    moreover have "(\<Sum>v\<in>D - C. a v *\<^sub>R v) \<in> T"
-      apply (rule subspace_sum [OF \<open>subspace T\<close>])
-      by (meson DiffD1 \<open>D \<subseteq> T\<close> \<open>subspace T\<close> subset_eq subspace_def)
-    ultimately have "(\<Sum>v \<in> D-C. a v *\<^sub>R v) \<in> span B"
-      using B by blast
-    then obtain e where e: "(\<Sum>v\<in>B. e v *\<^sub>R v) = (\<Sum>v \<in> D-C. a v *\<^sub>R v)"
-      using span_finite [OF \<open>finite B\<close>] by blast
-    have "\<And>c v. \<lbrakk>(\<Sum>v\<in>C. c v *\<^sub>R v) = 0; v \<in> C\<rbrakk> \<Longrightarrow> c v = 0"
-      using independent_explicit \<open>independent C\<close> by blast
-    define cc where "cc x = (if x \<in> B then a x + e x else a x)" for x
-    have [simp]: "C \<inter> B = B" "D \<inter> B = B" "C \<inter> - B = C-D" "B \<inter> (D - C) = {}"
-      using \<open>B \<subseteq> C\<close> \<open>B \<subseteq> D\<close> Beq by blast+
-    have f2: "(\<Sum>v\<in>C \<inter> D. e v *\<^sub>R v) = (\<Sum>v\<in>D - C. a v *\<^sub>R v)"
-      using Beq e by presburger
-    have f3: "(\<Sum>v\<in>C \<union> D. a v *\<^sub>R v) = (\<Sum>v\<in>C - D. a v *\<^sub>R v) + (\<Sum>v\<in>D - C. a v *\<^sub>R v) + (\<Sum>v\<in>C \<inter> D. a v *\<^sub>R v)"
-      using \<open>finite C\<close> \<open>finite D\<close> sum.union_diff2 by blast
-    have f4: "(\<Sum>v\<in>C \<union> (D - C). a v *\<^sub>R v) = (\<Sum>v\<in>C. a v *\<^sub>R v) + (\<Sum>v\<in>D - C. a v *\<^sub>R v)"
-      by (meson Diff_disjoint \<open>finite C\<close> \<open>finite D\<close> finite_Diff sum.union_disjoint)
-    have "(\<Sum>v\<in>C. cc v *\<^sub>R v) = 0"
-      using 0 f2 f3 f4
-      apply (simp add: cc_def Beq if_smult \<open>finite C\<close> sum.If_cases algebra_simps sum.distrib)
-      apply (simp add: add.commute add.left_commute diff_eq)
-      done
-    then have "\<And>v. v \<in> C \<Longrightarrow> cc v = 0"
-      using independent_explicit \<open>independent C\<close> by blast
-    then have C0: "\<And>v. v \<in> C - B \<Longrightarrow> a v = 0"
-      by (simp add: cc_def Beq) meson
-    then have [simp]: "(\<Sum>x\<in>C - B. a x *\<^sub>R x) = 0"
-      by simp
-    have "(\<Sum>x\<in>C. a x *\<^sub>R x) = (\<Sum>x\<in>B. a x *\<^sub>R x)"
-    proof -
-      have "C - D = C - B"
-        using Beq by blast
-      then show ?thesis
-        using Beq \<open>(\<Sum>x\<in>C - B. a x *\<^sub>R x) = 0\<close> f3 f4 by auto
-    qed
-    with 0 have Dcc0: "(\<Sum>v\<in>D. a v *\<^sub>R v) = 0"
-      apply (subst Deq)
-      by (simp add: \<open>finite B\<close> \<open>finite D\<close> sum_Un)
-    then have D0: "\<And>v. v \<in> D \<Longrightarrow> a v = 0"
-      using independent_explicit \<open>independent D\<close> by blast
-    show ?thesis
-      using v C0 D0 Beq by blast
-  qed
-  then have "independent (C \<union> (D - C))"
-    by (simp add: independent_explicit \<open>finite C\<close> \<open>finite D\<close> sum_Un del: Un_Diff_cancel)
-  then have indCUD: "independent (C \<union> D)" by simp
-  have "dim (S \<inter> T) = card B"
-    by (rule dim_unique [OF B indB refl])
-  moreover have "dim S = card C"
-    by (metis \<open>C \<subseteq> S\<close> \<open>independent C\<close> \<open>S \<subseteq> span C\<close> basis_card_eq_dim)
-  moreover have "dim T = card D"
-    by (metis \<open>D \<subseteq> T\<close> \<open>independent D\<close> \<open>T \<subseteq> span D\<close> basis_card_eq_dim)
-  moreover have "dim {x + y |x y. x \<in> S \<and> y \<in> T} = card(C \<union> D)"
-    apply (rule dim_unique [OF CUD _ indCUD refl], clarify)
-    apply (meson \<open>S \<subseteq> span C\<close> \<open>T \<subseteq> span D\<close> span_add span_inc span_minimal subsetCE subspace_span sup.bounded_iff)
-    done
-  ultimately show ?thesis
-    using \<open>B = C \<inter> D\<close> [symmetric]
-    by (simp add:  \<open>independent C\<close> \<open>independent D\<close> card_Un_Int independent_finite)
-qed
-
-
-lemma aff_dim_sums_Int_0:
-  assumes "affine S"
-      and "affine T"
-      and "0 \<in> S" "0 \<in> T"
-    shows "aff_dim {x + y| x y. x \<in> S \<and> y \<in> T} = (aff_dim S + aff_dim T) - aff_dim(S \<inter> T)"
-proof -
-  have "0 \<in> {x + y |x y. x \<in> S \<and> y \<in> T}"
-    using assms by force
-  then have 0: "0 \<in> affine hull {x + y |x y. x \<in> S \<and> y \<in> T}"
-    by (metis (lifting) hull_inc)
-  have sub: "subspace S"  "subspace T"
-    using assms by (auto simp: subspace_affine)
-  show ?thesis
-    using dim_sums_Int [OF sub] by (simp add: aff_dim_zero assms 0 hull_inc)
-qed
-
-proposition aff_dim_sums_Int:
-  assumes "affine S"
-      and "affine T"
-      and "S \<inter> T \<noteq> {}"
-    shows "aff_dim {x + y| x y. x \<in> S \<and> y \<in> T} = (aff_dim S + aff_dim T) - aff_dim(S \<inter> T)"
-proof -
-  obtain a where a: "a \<in> S" "a \<in> T" using assms by force
-  have aff: "affine (op+ (-a) ` S)"  "affine (op+ (-a) ` T)"
-    using assms by (auto simp: affine_translation [symmetric])
-  have zero: "0 \<in> (op+ (-a) ` S)"  "0 \<in> (op+ (-a) ` T)"
-    using a assms by auto
-  have [simp]: "{x + y |x y. x \<in> op + (- a) ` S \<and> y \<in> op + (- a) ` T} =
-        op + (- 2 *\<^sub>R a) ` {x + y| x y. x \<in> S \<and> y \<in> T}"
-    by (force simp: algebra_simps scaleR_2)
-  have [simp]: "op + (- a) ` S \<inter> op + (- a) ` T = op + (- a) ` (S \<inter> T)"
-    by auto
-  show ?thesis
-    using aff_dim_sums_Int_0 [OF aff zero]
-    by (auto simp: aff_dim_translation_eq)
-qed
-
-lemma aff_dim_affine_Int_hyperplane:
-  fixes a :: "'a::euclidean_space"
-  assumes "affine S"
-    shows "aff_dim(S \<inter> {x. a \<bullet> x = b}) =
-             (if S \<inter> {v. a \<bullet> v = b} = {} then - 1
-              else if S \<subseteq> {v. a \<bullet> v = b} then aff_dim S
-              else aff_dim S - 1)"
-proof (cases "a = 0")
-  case True with assms show ?thesis
-    by auto
-next
-  case False
-  then have "aff_dim (S \<inter> {x. a \<bullet> x = b}) = aff_dim S - 1"
-            if "x \<in> S" "a \<bullet> x \<noteq> b" and non: "S \<inter> {v. a \<bullet> v = b} \<noteq> {}" for x
-  proof -
-    have [simp]: "{x + y| x y. x \<in> S \<and> a \<bullet> y = b} = UNIV"
-      using affine_hyperplane_sums_eq_UNIV [OF assms non] that  by blast
-    show ?thesis
-      using aff_dim_sums_Int [OF assms affine_hyperplane non]
-      by (simp add: of_nat_diff False)
-  qed
-  then show ?thesis
-    by (metis (mono_tags, lifting) inf.orderE aff_dim_empty_eq mem_Collect_eq subsetI)
-qed
-
-lemma aff_dim_lt_full:
-  fixes S :: "'a::euclidean_space set"
-  shows "aff_dim S < DIM('a) \<longleftrightarrow> (affine hull S \<noteq> UNIV)"
-by (metis (no_types) aff_dim_affine_hull aff_dim_le_DIM aff_dim_UNIV affine_hull_UNIV less_le)
-
-
-lemma dim_Times:
-  fixes S :: "'a :: euclidean_space set" and T :: "'a set"
-  assumes "subspace S" "subspace T"
-  shows "dim(S \<times> T) = dim S + dim T"
-proof -
-  have ss: "subspace ((\<lambda>x. (x, 0)) ` S)" "subspace (Pair 0 ` T)"
-    by (rule subspace_linear_image, unfold_locales, auto simp: assms)+
-  have "dim(S \<times> T) = dim({u + v |u v. u \<in> (\<lambda>x. (x, 0)) ` S \<and> v \<in> Pair 0 ` T})"
-    by (simp add: Times_eq_image_sum)
-  moreover have "dim ((\<lambda>x. (x, 0::'a)) ` S) = dim S" "dim (Pair (0::'a) ` T) = dim T"
-    by (auto simp: additive.intro linear.intro linear_axioms.intro inj_on_def intro: dim_image_eq)
-  moreover have "dim ((\<lambda>x. (x, 0)) ` S \<inter> Pair 0 ` T) = 0"
-    by (subst dim_eq_0) (force simp: zero_prod_def)
-  ultimately show ?thesis
-    using dim_sums_Int [OF ss] by linarith
-qed
-
-subsection\<open> Orthogonal bases, Gram-Schmidt process, and related theorems\<close>
-
-lemma span_delete_0 [simp]: "span(S - {0}) = span S"
-proof
-  show "span (S - {0}) \<subseteq> span S"
-    by (blast intro!: span_mono)
-next
-  have "span S \<subseteq> span(insert 0 (S - {0}))"
-    by (blast intro!: span_mono)
-  also have "... \<subseteq> span(S - {0})"
-    using span_insert_0 by blast
-  finally show "span S \<subseteq> span (S - {0})" .
-qed
-
-lemma span_image_scale:
-  assumes "finite S" and nz: "\<And>x. x \<in> S \<Longrightarrow> c x \<noteq> 0"
-    shows "span ((\<lambda>x. c x *\<^sub>R x) ` S) = span S"
-using assms
-proof (induction S arbitrary: c)
-  case (empty c) show ?case by simp
-next
-  case (insert x F c)
-  show ?case
-  proof (intro set_eqI iffI)
-    fix y
-      assume "y \<in> span ((\<lambda>x. c x *\<^sub>R x) ` insert x F)"
-      then show "y \<in> span (insert x F)"
-        using insert by (force simp: span_breakdown_eq)
-  next
-    fix y
-      assume "y \<in> span (insert x F)"
-      then show "y \<in> span ((\<lambda>x. c x *\<^sub>R x) ` insert x F)"
-        using insert
-        apply (clarsimp simp: span_breakdown_eq)
-        apply (rule_tac x="k / c x" in exI)
-        by simp
-  qed
-qed
-
-lemma pairwise_orthogonal_independent:
-  assumes "pairwise orthogonal S" and "0 \<notin> S"
-    shows "independent S"
-proof -
-  have 0: "\<And>x y. \<lbrakk>x \<noteq> y; x \<in> S; y \<in> S\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    using assms by (simp add: pairwise_def orthogonal_def)
-  have "False" if "a \<in> S" and a: "a \<in> span (S - {a})" for a
-  proof -
-    obtain T U where "T \<subseteq> S - {a}" "a = (\<Sum>v\<in>T. U v *\<^sub>R v)"
-      using a by (force simp: span_explicit)
-    then have "a \<bullet> a = a \<bullet> (\<Sum>v\<in>T. U v *\<^sub>R v)"
-      by simp
-    also have "... = 0"
-      apply (simp add: inner_sum_right)
-      apply (rule comm_monoid_add_class.sum.neutral)
-      by (metis "0" DiffE \<open>T \<subseteq> S - {a}\<close> mult_not_zero singletonI subsetCE \<open>a \<in> S\<close>)
-    finally show ?thesis
-      using \<open>0 \<notin> S\<close> \<open>a \<in> S\<close> by auto
-  qed
-  then show ?thesis
-    by (force simp: dependent_def)
-qed
-
-lemma pairwise_orthogonal_imp_finite:
-  fixes S :: "'a::euclidean_space set"
-  assumes "pairwise orthogonal S"
-    shows "finite S"
-proof -
-  have "independent (S - {0})"
-    apply (rule pairwise_orthogonal_independent)
-     apply (metis Diff_iff assms pairwise_def)
-    by blast
-  then show ?thesis
-    by (meson independent_imp_finite infinite_remove)
-qed
-
-lemma subspace_orthogonal_to_vector: "subspace {y. orthogonal x y}"
-  by (simp add: subspace_def orthogonal_clauses)
-
-lemma subspace_orthogonal_to_vectors: "subspace {y. \<forall>x \<in> S. orthogonal x y}"
-  by (simp add: subspace_def orthogonal_clauses)
-
-lemma orthogonal_to_span:
-  assumes a: "a \<in> span S" and x: "\<And>y. y \<in> S \<Longrightarrow> orthogonal x y"
-    shows "orthogonal x a"
-apply (rule span_induct [OF a subspace_orthogonal_to_vector])
-apply (simp add: x)
-done
-
-proposition Gram_Schmidt_step:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "pairwise orthogonal S" and x: "x \<in> span S"
-    shows "orthogonal x (a - (\<Sum>b\<in>S. (b \<bullet> a / (b \<bullet> b)) *\<^sub>R b))"
-proof -
-  have "finite S"
-    by (simp add: S pairwise_orthogonal_imp_finite)
-  have "orthogonal (a - (\<Sum>b\<in>S. (b \<bullet> a / (b \<bullet> b)) *\<^sub>R b)) x"
-       if "x \<in> S" for x
-  proof -
-    have "a \<bullet> x = (\<Sum>y\<in>S. if y = x then y \<bullet> a else 0)"
-      by (simp add: \<open>finite S\<close> inner_commute sum.delta that)
-    also have "... =  (\<Sum>b\<in>S. b \<bullet> a * (b \<bullet> x) / (b \<bullet> b))"
-      apply (rule sum.cong [OF refl], simp)
-      by (meson S orthogonal_def pairwise_def that)
-   finally show ?thesis
-     by (simp add: orthogonal_def algebra_simps inner_sum_left)
-  qed
-  then show ?thesis
-    using orthogonal_to_span orthogonal_commute x by blast
-qed
-
-
-lemma orthogonal_extension_aux:
-  fixes S :: "'a::euclidean_space set"
-  assumes "finite T" "finite S" "pairwise orthogonal S"
-    shows "\<exists>U. pairwise orthogonal (S \<union> U) \<and> span (S \<union> U) = span (S \<union> T)"
-using assms
-proof (induction arbitrary: S)
-  case empty then show ?case
-    by simp (metis sup_bot_right)
-next
-  case (insert a T)
-  have 0: "\<And>x y. \<lbrakk>x \<noteq> y; x \<in> S; y \<in> S\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    using insert by (simp add: pairwise_def orthogonal_def)
-  define a' where "a' = a - (\<Sum>b\<in>S. (b \<bullet> a / (b \<bullet> b)) *\<^sub>R b)"
-  obtain U where orthU: "pairwise orthogonal (S \<union> insert a' U)"
-             and spanU: "span (insert a' S \<union> U) = span (insert a' S \<union> T)"
-    apply (rule exE [OF insert.IH [of "insert a' S"]])
-    apply (auto simp: Gram_Schmidt_step a'_def insert.prems orthogonal_commute pairwise_orthogonal_insert span_clauses)
-    done
-  have orthS: "\<And>x. x \<in> S \<Longrightarrow> a' \<bullet> x = 0"
-    apply (simp add: a'_def)
-    using Gram_Schmidt_step [OF \<open>pairwise orthogonal S\<close>]
-    apply (force simp: orthogonal_def inner_commute span_inc [THEN subsetD])
-    done
-  have "span (S \<union> insert a' U) = span (insert a' (S \<union> T))"
-    using spanU by simp
-  also have "... = span (insert a (S \<union> T))"
-    apply (rule eq_span_insert_eq)
-    apply (simp add: a'_def span_neg span_sum span_clauses(1) span_mul)
-    done
-  also have "... = span (S \<union> insert a T)"
-    by simp
-  finally show ?case
-    apply (rule_tac x="insert a' U" in exI)
-    using orthU apply auto
-    done
-qed
-
-
-proposition orthogonal_extension:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "pairwise orthogonal S"
-  obtains U where "pairwise orthogonal (S \<union> U)" "span (S \<union> U) = span (S \<union> T)"
-proof -
-  obtain B where "finite B" "span B = span T"
-    using basis_subspace_exists [of "span T"] subspace_span by auto
-  with orthogonal_extension_aux [of B S]
-  obtain U where "pairwise orthogonal (S \<union> U)" "span (S \<union> U) = span (S \<union> B)"
-    using assms pairwise_orthogonal_imp_finite by auto
-  show ?thesis
-    apply (rule_tac U=U in that)
-     apply (simp add: \<open>pairwise orthogonal (S \<union> U)\<close>)
-    by (metis \<open>span (S \<union> U) = span (S \<union> B)\<close> \<open>span B = span T\<close> span_Un)
-qed
-
-corollary orthogonal_extension_strong:
-  fixes S :: "'a::euclidean_space set"
-  assumes S: "pairwise orthogonal S"
-  obtains U where "U \<inter> (insert 0 S) = {}" "pairwise orthogonal (S \<union> U)"
-                   "span (S \<union> U) = span (S \<union> T)"
-proof -
-  obtain U where "pairwise orthogonal (S \<union> U)" "span (S \<union> U) = span (S \<union> T)"
-    using orthogonal_extension assms by blast
-  then show ?thesis
-    apply (rule_tac U = "U - (insert 0 S)" in that)
-      apply blast
-     apply (force simp: pairwise_def)
-    apply (metis (no_types, lifting) Un_Diff_cancel span_insert_0 span_Un)
-  done
-qed
-
-subsection\<open>Decomposing a vector into parts in orthogonal subspaces.\<close>
-
-text\<open>existence of orthonormal basis for a subspace.\<close>
-
-lemma orthogonal_spanningset_subspace:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "subspace S"
-  obtains B where "B \<subseteq> S" "pairwise orthogonal B" "span B = S"
-proof -
-  obtain B where "B \<subseteq> S" "independent B" "S \<subseteq> span B" "card B = dim S"
-    using basis_exists by blast
-  with orthogonal_extension [of "{}" B]
-  show ?thesis
-    by (metis Un_empty_left assms pairwise_empty span_inc span_subspace that)
-qed
-
-lemma orthogonal_basis_subspace:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "subspace S"
-  obtains B where "0 \<notin> B" "B \<subseteq> S" "pairwise orthogonal B" "independent B"
-                  "card B = dim S" "span B = S"
-proof -
-  obtain B where "B \<subseteq> S" "pairwise orthogonal B" "span B = S"
-    using assms orthogonal_spanningset_subspace by blast
-  then show ?thesis
-    apply (rule_tac B = "B - {0}" in that)
-    apply (auto simp: indep_card_eq_dim_span pairwise_subset Diff_subset pairwise_orthogonal_independent elim: pairwise_subset)
-    done
-qed
-
-proposition orthonormal_basis_subspace:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "subspace S"
-  obtains B where "B \<subseteq> S" "pairwise orthogonal B"
-              and "\<And>x. x \<in> B \<Longrightarrow> norm x = 1"
-              and "independent B" "card B = dim S" "span B = S"
-proof -
-  obtain B where "0 \<notin> B" "B \<subseteq> S"
-             and orth: "pairwise orthogonal B"
-             and "independent B" "card B = dim S" "span B = S"
-    by (blast intro: orthogonal_basis_subspace [OF assms])
-  have 1: "(\<lambda>x. x /\<^sub>R norm x) ` B \<subseteq> S"
-    using \<open>span B = S\<close> span_clauses(1) span_mul by fastforce
-  have 2: "pairwise orthogonal ((\<lambda>x. x /\<^sub>R norm x) ` B)"
-    using orth by (force simp: pairwise_def orthogonal_clauses)
-  have 3: "\<And>x. x \<in> (\<lambda>x. x /\<^sub>R norm x) ` B \<Longrightarrow> norm x = 1"
-    by (metis (no_types, lifting) \<open>0 \<notin> B\<close> image_iff norm_sgn sgn_div_norm)
-  have 4: "independent ((\<lambda>x. x /\<^sub>R norm x) ` B)"
-    by (metis "2" "3" norm_zero pairwise_orthogonal_independent zero_neq_one)
-  have "inj_on (\<lambda>x. x /\<^sub>R norm x) B"
-  proof
-    fix x y
-    assume "x \<in> B" "y \<in> B" "x /\<^sub>R norm x = y /\<^sub>R norm y"
-    moreover have "\<And>i. i \<in> B \<Longrightarrow> norm (i /\<^sub>R norm i) = 1"
-      using 3 by blast
-    ultimately show "x = y"
-      by (metis norm_eq_1 orth orthogonal_clauses(7) orthogonal_commute orthogonal_def pairwise_def zero_neq_one)
-  qed
-  then have 5: "card ((\<lambda>x. x /\<^sub>R norm x) ` B) = dim S"
-    by (metis \<open>card B = dim S\<close> card_image)
-  have 6: "span ((\<lambda>x. x /\<^sub>R norm x) ` B) = S"
-    by (metis "1" "4" "5" assms card_eq_dim independent_finite span_subspace)
-  show ?thesis
-    by (rule that [OF 1 2 3 4 5 6])
-qed
-
-proposition orthogonal_subspace_decomp_exists:
-  fixes S :: "'a :: euclidean_space set"
-  obtains y z where "y \<in> span S" "\<And>w. w \<in> span S \<Longrightarrow> orthogonal z w" "x = y + z"
-proof -
-  obtain T where "0 \<notin> T" "T \<subseteq> span S" "pairwise orthogonal T" "independent T" "card T = dim (span S)" "span T = span S"
-    using orthogonal_basis_subspace subspace_span by blast
-  let ?a = "\<Sum>b\<in>T. (b \<bullet> x / (b \<bullet> b)) *\<^sub>R b"
-  have orth: "orthogonal (x - ?a) w" if "w \<in> span S" for w
-    by (simp add: Gram_Schmidt_step \<open>pairwise orthogonal T\<close> \<open>span T = span S\<close> orthogonal_commute that)
-  show ?thesis
-    apply (rule_tac y = "?a" and z = "x - ?a" in that)
-      apply (meson \<open>T \<subseteq> span S\<close> span_mul span_sum subsetCE)
-     apply (fact orth, simp)
-    done
-qed
-
-lemma orthogonal_subspace_decomp_unique:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "x + y = x' + y'"
-      and ST: "x \<in> span S" "x' \<in> span S" "y \<in> span T" "y' \<in> span T"
-      and orth: "\<And>a b. \<lbrakk>a \<in> S; b \<in> T\<rbrakk> \<Longrightarrow> orthogonal a b"
-  shows "x = x' \<and> y = y'"
-proof -
-  have "x + y - y' = x'"
-    by (simp add: assms)
-  moreover have "\<And>a b. \<lbrakk>a \<in> span S; b \<in> span T\<rbrakk> \<Longrightarrow> orthogonal a b"
-    by (meson orth orthogonal_commute orthogonal_to_span)
-  ultimately have "0 = x' - x"
-    by (metis (full_types) add_diff_cancel_left' ST diff_right_commute orthogonal_clauses(10) orthogonal_clauses(5) orthogonal_self)
-  with assms show ?thesis by auto
-qed
-
-proposition dim_orthogonal_sum:
-  fixes A :: "'a::euclidean_space set"
-  assumes "\<And>x y. \<lbrakk>x \<in> A; y \<in> B\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    shows "dim(A \<union> B) = dim A + dim B"
-proof -
-  have 1: "\<And>x y. \<lbrakk>x \<in> span A; y \<in> B\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    by (erule span_induct [OF _ subspace_hyperplane2]; simp add: assms)
-  have "\<And>x y. \<lbrakk>x \<in> span A; y \<in> span B\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    apply (erule span_induct [OF _ subspace_hyperplane])
-    using 1 by (simp add: )
-  then have 0: "\<And>x y. \<lbrakk>x \<in> span A; y \<in> span B\<rbrakk> \<Longrightarrow> x \<bullet> y = 0"
-    by simp
-  have "dim(A \<union> B) = dim (span (A \<union> B))"
-    by simp
-  also have "... = dim ((\<lambda>(a, b). a + b) ` (span A \<times> span B))"
-    by (simp add: span_Un)
-  also have "... = dim {x + y |x y. x \<in> span A \<and> y \<in> span B}"
-    by (auto intro!: arg_cong [where f=dim])
-  also have "... = dim {x + y |x y. x \<in> span A \<and> y \<in> span B} + dim(span A \<inter> span B)"
-    by (auto simp: dest: 0)
-  also have "... = dim (span A) + dim (span B)"
-    by (rule dim_sums_Int) auto
-  also have "... = dim A + dim B"
-    by simp
-  finally show ?thesis .
-qed
-
-lemma dim_subspace_orthogonal_to_vectors:
-  fixes A :: "'a::euclidean_space set"
-  assumes "subspace A" "subspace B" "A \<subseteq> B"
-    shows "dim {y \<in> B. \<forall>x \<in> A. orthogonal x y} + dim A = dim B"
-proof -
-  have "dim (span ({y \<in> B. \<forall>x\<in>A. orthogonal x y} \<union> A)) = dim (span B)"
-  proof (rule arg_cong [where f=dim, OF subset_antisym])
-    show "span ({y \<in> B. \<forall>x\<in>A. orthogonal x y} \<union> A) \<subseteq> span B"
-      by (simp add: \<open>A \<subseteq> B\<close> Collect_restrict span_mono)
-  next
-    have *: "x \<in> span ({y \<in> B. \<forall>x\<in>A. orthogonal x y} \<union> A)"
-         if "x \<in> B" for x
-    proof -
-      obtain y z where "x = y + z" "y \<in> span A" and orth: "\<And>w. w \<in> span A \<Longrightarrow> orthogonal z w"
-        using orthogonal_subspace_decomp_exists [of A x] that by auto
-      have "y \<in> span B"
-        by (metis span_eq \<open>y \<in> span A\<close> assms subset_iff)
-      then have "z \<in> {a \<in> B. \<forall>x. x \<in> A \<longrightarrow> orthogonal x a}"
-        by simp (metis (no_types) span_eq \<open>x = y + z\<close> \<open>subspace A\<close> \<open>subspace B\<close> orth orthogonal_commute span_add_eq that)
-      then have z: "z \<in> span {y \<in> B. \<forall>x\<in>A. orthogonal x y}"
-        by (meson span_inc subset_iff)
-      then show ?thesis
-        apply (simp add: span_Un image_def)
-        apply (rule bexI [OF _ z])
-        apply (simp add: \<open>x = y + z\<close> \<open>y \<in> span A\<close>)
-        done
-    qed
-    show "span B \<subseteq> span ({y \<in> B. \<forall>x\<in>A. orthogonal x y} \<union> A)"
-      by (rule span_minimal) (auto intro: * span_minimal elim: )
-  qed
-  then show ?thesis
-    by (metis (no_types, lifting) dim_orthogonal_sum dim_span mem_Collect_eq orthogonal_commute orthogonal_def)
-qed
-
-lemma aff_dim_openin:
-  fixes S :: "'a::euclidean_space set"
-  assumes ope: "openin (subtopology euclidean T) S" and "affine T" "S \<noteq> {}"
-  shows "aff_dim S = aff_dim T"
-proof -
-  show ?thesis
-  proof (rule order_antisym)
-    show "aff_dim S \<le> aff_dim T"
-      by (blast intro: aff_dim_subset [OF openin_imp_subset] ope)
-  next
-    obtain a where "a \<in> S"
-      using \<open>S \<noteq> {}\<close> by blast
-    have "S \<subseteq> T"
-      using ope openin_imp_subset by auto
-    then have "a \<in> T"
-      using \<open>a \<in> S\<close> by auto
-    then have subT': "subspace ((\<lambda>x. - a + x) ` T)"
-      using affine_diffs_subspace \<open>affine T\<close> by auto
-    then obtain B where Bsub: "B \<subseteq> ((\<lambda>x. - a + x) ` T)" and po: "pairwise orthogonal B"
-                    and eq1: "\<And>x. x \<in> B \<Longrightarrow> norm x = 1" and "independent B"
-                    and cardB: "card B = dim ((\<lambda>x. - a + x) ` T)"
-                    and spanB: "span B = ((\<lambda>x. - a + x) ` T)"
-      by (rule orthonormal_basis_subspace) auto
-    obtain e where "0 < e" and e: "cball a e \<inter> T \<subseteq> S"
-      by (meson \<open>a \<in> S\<close> openin_contains_cball ope)
-    have "aff_dim T = aff_dim ((\<lambda>x. - a + x) ` T)"
-      by (metis aff_dim_translation_eq)
-    also have "... = dim ((\<lambda>x. - a + x) ` T)"
-      using aff_dim_subspace subT' by blast
-    also have "... = card B"
-      by (simp add: cardB)
-    also have "... = card ((\<lambda>x. e *\<^sub>R x) ` B)"
-      using \<open>0 < e\<close>  by (force simp: inj_on_def card_image)
-    also have "... \<le> dim ((\<lambda>x. - a + x) ` S)"
-    proof (simp, rule independent_card_le_dim)
-      have e': "cball 0 e \<inter> (\<lambda>x. x - a) ` T \<subseteq> (\<lambda>x. x - a) ` S"
-        using e by (auto simp: dist_norm norm_minus_commute subset_eq)
-      have "(\<lambda>x. e *\<^sub>R x) ` B \<subseteq> cball 0 e \<inter> (\<lambda>x. x - a) ` T"
-        using Bsub \<open>0 < e\<close> eq1 subT' \<open>a \<in> T\<close> by (auto simp: subspace_def)
-      then show "(\<lambda>x. e *\<^sub>R x) ` B \<subseteq> (\<lambda>x. x - a) ` S"
-        using e' by blast
-      show "independent ((\<lambda>x. e *\<^sub>R x) ` B)"
-        using \<open>independent B\<close>
-        apply (rule independent_injective_image, simp)
-        by (metis \<open>0 < e\<close> injective_scaleR less_irrefl)
-    qed
-    also have "... = aff_dim S"
-      using \<open>a \<in> S\<close> aff_dim_eq_dim hull_inc by force
-    finally show "aff_dim T \<le> aff_dim S" .
-  qed
-qed
-
-lemma dim_openin:
-  fixes S :: "'a::euclidean_space set"
-  assumes ope: "openin (subtopology euclidean T) S" and "subspace T" "S \<noteq> {}"
-  shows "dim S = dim T"
-proof (rule order_antisym)
-  show "dim S \<le> dim T"
-    by (metis ope dim_subset openin_subset topspace_euclidean_subtopology)
-next
-  have "dim T = aff_dim S"
-    using aff_dim_openin
-    by (metis aff_dim_subspace \<open>subspace T\<close> \<open>S \<noteq> {}\<close> ope subspace_affine)
-  also have "... \<le> dim S"
-    by (metis aff_dim_subset aff_dim_subspace dim_span span_inc subspace_span)
-  finally show "dim T \<le> dim S" by simp
-qed
-
-subsection\<open>Parallel slices, etc.\<close>
-
-text\<open> If we take a slice out of a set, we can do it perpendicularly,
-  with the normal vector to the slice parallel to the affine hull.\<close>
-
-proposition affine_parallel_slice:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "affine S"
-      and "S \<inter> {x. a \<bullet> x \<le> b} \<noteq> {}"
-      and "~ (S \<subseteq> {x. a \<bullet> x \<le> b})"
-  obtains a' b' where "a' \<noteq> 0"
-                   "S \<inter> {x. a' \<bullet> x \<le> b'} = S \<inter> {x. a \<bullet> x \<le> b}"
-                   "S \<inter> {x. a' \<bullet> x = b'} = S \<inter> {x. a \<bullet> x = b}"
-                   "\<And>w. w \<in> S \<Longrightarrow> (w + a') \<in> S"
-proof (cases "S \<inter> {x. a \<bullet> x = b} = {}")
-  case True
-  then obtain u v where "u \<in> S" "v \<in> S" "a \<bullet> u \<le> b" "a \<bullet> v > b"
-    using assms by (auto simp: not_le)
-  define \<eta> where "\<eta> = u + ((b - a \<bullet> u) / (a \<bullet> v - a \<bullet> u)) *\<^sub>R (v - u)"
-  have "\<eta> \<in> S"
-    by (simp add: \<eta>_def \<open>u \<in> S\<close> \<open>v \<in> S\<close> \<open>affine S\<close> mem_affine_3_minus)
-  moreover have "a \<bullet> \<eta> = b"
-    using \<open>a \<bullet> u \<le> b\<close> \<open>b < a \<bullet> v\<close>
-    by (simp add: \<eta>_def algebra_simps) (simp add: field_simps)
-  ultimately have False
-    using True by force
-  then show ?thesis ..
-next
-  case False
-  then obtain z where "z \<in> S" and z: "a \<bullet> z = b"
-    using assms by auto
-  with affine_diffs_subspace [OF \<open>affine S\<close>]
-  have sub: "subspace (op + (- z) ` S)" by blast
-  then have aff: "affine (op + (- z) ` S)" and span: "span (op + (- z) ` S) = (op + (- z) ` S)"
-    by (auto simp: subspace_imp_affine)
-  obtain a' a'' where a': "a' \<in> span (op + (- z) ` S)" and a: "a = a' + a''"
-                  and "\<And>w. w \<in> span (op + (- z) ` S) \<Longrightarrow> orthogonal a'' w"
-      using orthogonal_subspace_decomp_exists [of "op + (- z) ` S" "a"] by metis
-  then have "\<And>w. w \<in> S \<Longrightarrow> a'' \<bullet> (w-z) = 0"
-    by (simp add: imageI orthogonal_def span)
-  then have a'': "\<And>w. w \<in> S \<Longrightarrow> a'' \<bullet> w = (a - a') \<bullet> z"
-    by (simp add: a inner_diff_right)
-  then have ba'': "\<And>w. w \<in> S \<Longrightarrow> a'' \<bullet> w = b - a' \<bullet> z"
-    by (simp add: inner_diff_left z)
-  have "\<And>w. w \<in> op + (- z) ` S \<Longrightarrow> (w + a') \<in> op + (- z) ` S"
-    by (metis subspace_add a' span_eq sub)
-  then have Sclo: "\<And>w. w \<in> S \<Longrightarrow> (w + a') \<in> S"
-    by fastforce
-  show ?thesis
-  proof (cases "a' = 0")
-    case True
-    with a assms True a'' diff_zero less_irrefl show ?thesis
-      by auto
-  next
-    case False
-    show ?thesis
-      apply (rule_tac a' = "a'" and b' = "a' \<bullet> z" in that)
-      apply (auto simp: a ba'' inner_left_distrib False Sclo)
-      done
-  qed
-qed
-
-lemma diffs_affine_hull_span:
-  assumes "a \<in> S"
-    shows "{x - a |x. x \<in> affine hull S} = span {x - a |x. x \<in> S}"
-proof -
-  have *: "((\<lambda>x. x - a) ` (S - {a})) = {x. x + a \<in> S} - {0}"
-    by (auto simp: algebra_simps)
-  show ?thesis
-    apply (simp add: affine_hull_span2 [OF assms] *)
-    apply (auto simp: algebra_simps)
-    done
-qed
-
-lemma aff_dim_dim_affine_diffs:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "affine S" "a \<in> S"
-    shows "aff_dim S = dim {x - a |x. x \<in> S}"
-proof -
-  obtain B where aff: "affine hull B = affine hull S"
-             and ind: "\<not> affine_dependent B"
-             and card: "of_nat (card B) = aff_dim S + 1"
-    using aff_dim_basis_exists by blast
-  then have "B \<noteq> {}" using assms
-    by (metis affine_hull_eq_empty ex_in_conv)
-  then obtain c where "c \<in> B" by auto
-  then have "c \<in> S"
-    by (metis aff affine_hull_eq \<open>affine S\<close> hull_inc)
-  have xy: "x - c = y - a \<longleftrightarrow> y = x + 1 *\<^sub>R (a - c)" for x y c and a::'a
-    by (auto simp: algebra_simps)
-  have *: "{x - c |x. x \<in> S} = {x - a |x. x \<in> S}"
-    apply safe
-    apply (simp_all only: xy)
-    using mem_affine_3_minus [OF \<open>affine S\<close>] \<open>a \<in> S\<close> \<open>c \<in> S\<close> apply blast+
-    done
-  have affS: "affine hull S = S"
-    by (simp add: \<open>affine S\<close>)
-  have "aff_dim S = of_nat (card B) - 1"
-    using card by simp
-  also have "... = dim {x - c |x. x \<in> B}"
-    by (simp add: affine_independent_card_dim_diffs [OF ind \<open>c \<in> B\<close>])
-  also have "... = dim {x - c | x. x \<in> affine hull B}"
-     by (simp add: diffs_affine_hull_span \<open>c \<in> B\<close>)
-  also have "... = dim {x - a |x. x \<in> S}"
-     by (simp add: affS aff *)
-   finally show ?thesis .
-qed
-
-lemma aff_dim_linear_image_le:
-  assumes "linear f"
-    shows "aff_dim(f ` S) \<le> aff_dim S"
-proof -
-  have "aff_dim (f ` T) \<le> aff_dim T" if "affine T" for T
-  proof (cases "T = {}")
-    case True then show ?thesis by (simp add: aff_dim_geq)
-  next
-    case False
-    then obtain a where "a \<in> T" by auto
-    have 1: "((\<lambda>x. x - f a) ` f ` T) = {x - f a |x. x \<in> f ` T}"
-      by auto
-    have 2: "{x - f a| x. x \<in> f ` T} = f ` {x - a| x. x \<in> T}"
-      by (force simp: linear_diff [OF assms])
-    have "aff_dim (f ` T) = int (dim {x - f a |x. x \<in> f ` T})"
-      by (simp add: \<open>a \<in> T\<close> hull_inc aff_dim_eq_dim [of "f a"] 1)
-    also have "... = int (dim (f ` {x - a| x. x \<in> T}))"
-      by (force simp: linear_diff [OF assms] 2)
-    also have "... \<le> int (dim {x - a| x. x \<in> T})"
-      by (simp add: dim_image_le [OF assms])
-    also have "... \<le> aff_dim T"
-      by (simp add: aff_dim_dim_affine_diffs [symmetric] \<open>a \<in> T\<close> \<open>affine T\<close>)
-    finally show ?thesis .
-  qed
-  then
-  have "aff_dim (f ` (affine hull S)) \<le> aff_dim (affine hull S)"
-    using affine_affine_hull [of S] by blast
-  then show ?thesis
-    using affine_hull_linear_image assms linear_conv_bounded_linear by fastforce
-qed
-
-lemma aff_dim_injective_linear_image [simp]:
-  assumes "linear f" "inj f"
-    shows "aff_dim (f ` S) = aff_dim S"
-proof (rule antisym)
-  show "aff_dim (f ` S) \<le> aff_dim S"
-    by (simp add: aff_dim_linear_image_le assms(1))
-next
-  obtain g where "linear g" "g \<circ> f = id"
-    using linear_injective_left_inverse assms by blast
-  then have "aff_dim S \<le> aff_dim(g ` f ` S)"
-    by (simp add: image_comp)
-  also have "... \<le> aff_dim (f ` S)"
-    by (simp add: \<open>linear g\<close> aff_dim_linear_image_le)
-  finally show "aff_dim S \<le> aff_dim (f ` S)" .
-qed
-
-
-text\<open>Choosing a subspace of a given dimension\<close>
-proposition choose_subspace_of_subspace:
-  fixes S :: "'n::euclidean_space set"
-  assumes "n \<le> dim S"
-  obtains T where "subspace T" "T \<subseteq> span S" "dim T = n"
-proof -
-  have "\<exists>T. subspace T \<and> T \<subseteq> span S \<and> dim T = n"
-  using assms
-  proof (induction n)
-    case 0 then show ?case by force
-  next
-    case (Suc n)
-    then obtain T where "subspace T" "T \<subseteq> span S" "dim T = n"
-      by force
-    then show ?case
-    proof (cases "span S \<subseteq> span T")
-      case True
-      have "dim S = dim T"
-        apply (rule span_eq_dim [OF subset_antisym [OF True]])
-        by (simp add: \<open>T \<subseteq> span S\<close> span_minimal subspace_span)
-      then show ?thesis
-        using Suc.prems \<open>dim T = n\<close> by linarith
-    next
-      case False
-      then obtain y where y: "y \<in> S" "y \<notin> T"
-        by (meson span_mono subsetI)
-      then have "span (insert y T) \<subseteq> span S"
-        by (metis (no_types) \<open>T \<subseteq> span S\<close> subsetD insert_subset span_inc span_mono span_span)
-      with \<open>dim T = n\<close>  \<open>subspace T\<close> y show ?thesis
-        apply (rule_tac x="span(insert y T)" in exI)
-        apply (auto simp: dim_insert)
-        using span_eq by blast
-    qed
-  qed
-  with that show ?thesis by blast
-qed
-
-lemma choose_affine_subset:
-  assumes "affine S" "-1 \<le> d" and dle: "d \<le> aff_dim S"
-  obtains T where "affine T" "T \<subseteq> S" "aff_dim T = d"
-proof (cases "d = -1 \<or> S={}")
-  case True with assms show ?thesis
-    by (metis aff_dim_empty affine_empty bot.extremum that eq_iff)
-next
-  case False
-  with assms obtain a where "a \<in> S" "0 \<le> d" by auto
-  with assms have ss: "subspace (op + (- a) ` S)"
-    by (simp add: affine_diffs_subspace)
-  have "nat d \<le> dim (op + (- a) ` S)"
-    by (metis aff_dim_subspace aff_dim_translation_eq dle nat_int nat_mono ss)
-  then obtain T where "subspace T" and Tsb: "T \<subseteq> span (op + (- a) ` S)"
-                  and Tdim: "dim T = nat d"
-    using choose_subspace_of_subspace [of "nat d" "op + (- a) ` S"] by blast
-  then have "affine T"
-    using subspace_affine by blast
-  then have "affine (op + a ` T)"
-    by (metis affine_hull_eq affine_hull_translation)
-  moreover have "op + a ` T \<subseteq> S"
-  proof -
-    have "T \<subseteq> op + (- a) ` S"
-      by (metis (no_types) span_eq Tsb ss)
-    then show "op + a ` T \<subseteq> S"
-      using add_ac by auto
-  qed
-  moreover have "aff_dim (op + a ` T) = d"
-    by (simp add: aff_dim_subspace Tdim \<open>0 \<le> d\<close> \<open>subspace T\<close> aff_dim_translation_eq)
-  ultimately show ?thesis
-    by (rule that)
-qed
-
-subsection\<open>Several Variants of Paracompactness\<close>
-
-proposition paracompact:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "S \<subseteq> \<Union>\<C>" and opC: "\<And>T. T \<in> \<C> \<Longrightarrow> open T"
-  obtains \<C>' where "S \<subseteq> \<Union> \<C>'"
-               and "\<And>U. U \<in> \<C>' \<Longrightarrow> open U \<and> (\<exists>T. T \<in> \<C> \<and> U \<subseteq> T)"
-               and "\<And>x. x \<in> S
-                       \<Longrightarrow> \<exists>V. open V \<and> x \<in> V \<and>
-                               finite {U. U \<in> \<C>' \<and> (U \<inter> V \<noteq> {})}"
-proof (cases "S = {}")
-  case True with that show ?thesis by blast
-next
-  case False
-  have "\<exists>T U. x \<in> U \<and> open U \<and> closure U \<subseteq> T \<and> T \<in> \<C>" if "x \<in> S" for x
-  proof -
-    obtain T where "x \<in> T" "T \<in> \<C>" "open T"
-      using assms \<open>x \<in> S\<close> by blast
-    then obtain e where "e > 0" "cball x e \<subseteq> T"
-      by (force simp: open_contains_cball)
-    then show ?thesis
-      apply (rule_tac x = T in exI)
-      apply (rule_tac x = "ball x e" in exI)
-      using  \<open>T \<in> \<C>\<close>
-      apply (simp add: closure_minimal)
-      done
-  qed
-  then obtain F G where Gin: "x \<in> G x" and oG: "open (G x)"
-                    and clos: "closure (G x) \<subseteq> F x" and Fin: "F x \<in> \<C>"
-         if "x \<in> S" for x
-    by metis
-  then obtain \<F> where "\<F> \<subseteq> G ` S" "countable \<F>" "\<Union>\<F> = UNION S G"
-    using Lindelof [of "G ` S"] by (metis image_iff)
-  then obtain K where K: "K \<subseteq> S" "countable K" and eq: "UNION K G = UNION S G"
-    by (metis countable_subset_image)
-  with False Gin have "K \<noteq> {}" by force
-  then obtain a :: "nat \<Rightarrow> 'a" where "range a = K"
-    by (metis range_from_nat_into \<open>countable K\<close>)
-  then have odif: "\<And>n. open (F (a n) - \<Union>{closure (G (a m)) |m. m < n})"
-    using \<open>K \<subseteq> S\<close> Fin opC by (fastforce simp add:)
-  let ?C = "range (\<lambda>n. F(a n) - \<Union>{closure(G(a m)) |m. m < n})"
-  have enum_S: "\<exists>n. x \<in> F(a n) \<and> x \<in> G(a n)" if "x \<in> S" for x
-  proof -
-    have "\<exists>y \<in> K. x \<in> G y" using eq that Gin by fastforce
-    then show ?thesis
-      using clos K \<open>range a = K\<close> closure_subset by blast
-  qed
-  have 1: "S \<subseteq> Union ?C"
-  proof
-    fix x assume "x \<in> S"
-    define n where "n \<equiv> LEAST n. x \<in> F(a n)"
-    have n: "x \<in> F(a n)"
-      using enum_S [OF \<open>x \<in> S\<close>] by (force simp: n_def intro: LeastI)
-    have notn: "x \<notin> F(a m)" if "m < n" for m
-      using that not_less_Least by (force simp: n_def)
-    then have "x \<notin> \<Union>{closure (G (a m)) |m. m < n}"
-      using n \<open>K \<subseteq> S\<close> \<open>range a = K\<close> clos notn by fastforce
-    with n show "x \<in> Union ?C"
-      by blast
-  qed
-  have 3: "\<exists>V. open V \<and> x \<in> V \<and> finite {U. U \<in> ?C \<and> (U \<inter> V \<noteq> {})}" if "x \<in> S" for x
-  proof -
-    obtain n where n: "x \<in> F(a n)" "x \<in> G(a n)"
-      using \<open>x \<in> S\<close> enum_S by auto
-    have "{U \<in> ?C. U \<inter> G (a n) \<noteq> {}} \<subseteq> (\<lambda>n. F(a n) - \<Union>{closure(G(a m)) |m. m < n}) ` atMost n"
-    proof clarsimp
-      fix k  assume "(F (a k) - \<Union>{closure (G (a m)) |m. m < k}) \<inter> G (a n) \<noteq> {}"
-      then have "k \<le> n"
-        by auto (metis closure_subset not_le subsetCE)
-      then show "F (a k) - \<Union>{closure (G (a m)) |m. m < k}
-                 \<in> (\<lambda>n. F (a n) - \<Union>{closure (G (a m)) |m. m < n}) ` {..n}"
-        by force
-    qed
-    moreover have "finite ((\<lambda>n. F(a n) - \<Union>{closure(G(a m)) |m. m < n}) ` atMost n)"
-      by force
-    ultimately have *: "finite {U \<in> ?C. U \<inter> G (a n) \<noteq> {}}"
-      using finite_subset by blast
-    show ?thesis
-      apply (rule_tac x="G (a n)" in exI)
-      apply (intro conjI oG n *)
-      using \<open>K \<subseteq> S\<close> \<open>range a = K\<close> apply blast
-      done
-  qed
-  show ?thesis
-    apply (rule that [OF 1 _ 3])
-    using Fin \<open>K \<subseteq> S\<close> \<open>range a = K\<close>  apply (auto simp: odif)
-    done
-qed
-
-corollary paracompact_closedin:
-  fixes S :: "'a :: euclidean_space set"
-  assumes cin: "closedin (subtopology euclidean U) S"
-      and oin: "\<And>T. T \<in> \<C> \<Longrightarrow> openin (subtopology euclidean U) T"
-      and "S \<subseteq> \<Union>\<C>"
-  obtains \<C>' where "S \<subseteq> \<Union> \<C>'"
-               and "\<And>V. V \<in> \<C>' \<Longrightarrow> openin (subtopology euclidean U) V \<and> (\<exists>T. T \<in> \<C> \<and> V \<subseteq> T)"
-               and "\<And>x. x \<in> U
-                       \<Longrightarrow> \<exists>V. openin (subtopology euclidean U) V \<and> x \<in> V \<and>
-                               finite {X. X \<in> \<C>' \<and> (X \<inter> V \<noteq> {})}"
-proof -
-  have "\<exists>Z. open Z \<and> (T = U \<inter> Z)" if "T \<in> \<C>" for T
-    using oin [OF that] by (auto simp: openin_open)
-  then obtain F where opF: "open (F T)" and intF: "U \<inter> F T = T" if "T \<in> \<C>" for T
-    by metis
-  obtain K where K: "closed K" "U \<inter> K = S"
-    using cin by (auto simp: closedin_closed)
-  have 1: "U \<subseteq> \<Union>insert (- K) (F ` \<C>)"
-    by clarsimp (metis Int_iff Union_iff \<open>U \<inter> K = S\<close> \<open>S \<subseteq> \<Union>\<C>\<close> subsetD intF)
-  have 2: "\<And>T. T \<in> insert (- K) (F ` \<C>) \<Longrightarrow> open T"
-    using \<open>closed K\<close> by (auto simp: opF)
-  obtain \<D> where "U \<subseteq> \<Union>\<D>"
-             and D1: "\<And>U. U \<in> \<D> \<Longrightarrow> open U \<and> (\<exists>T. T \<in> insert (- K) (F ` \<C>) \<and> U \<subseteq> T)"
-             and D2: "\<And>x. x \<in> U \<Longrightarrow> \<exists>V. open V \<and> x \<in> V \<and> finite {U \<in> \<D>. U \<inter> V \<noteq> {}}"
-    using paracompact [OF 1 2] by auto
-  let ?C = "{U \<inter> V |V. V \<in> \<D> \<and> (V \<inter> K \<noteq> {})}"
-  show ?thesis
-  proof (rule_tac \<C>' = "{U \<inter> V |V. V \<in> \<D> \<and> (V \<inter> K \<noteq> {})}" in that)
-    show "S \<subseteq> \<Union>?C"
-      using \<open>U \<inter> K = S\<close> \<open>U \<subseteq> \<Union>\<D>\<close> K by (blast dest!: subsetD)
-    show "\<And>V. V \<in> ?C \<Longrightarrow> openin (subtopology euclidean U) V \<and> (\<exists>T. T \<in> \<C> \<and> V \<subseteq> T)"
-      using D1 intF by fastforce
-    have *: "{X. (\<exists>V. X = U \<inter> V \<and> V \<in> \<D> \<and> V \<inter> K \<noteq> {}) \<and> X \<inter> (U \<inter> V) \<noteq> {}} \<subseteq>
-             (\<lambda>x. U \<inter> x) ` {U \<in> \<D>. U \<inter> V \<noteq> {}}" for V
-      by blast
-    show "\<exists>V. openin (subtopology euclidean U) V \<and> x \<in> V \<and> finite {X \<in> ?C. X \<inter> V \<noteq> {}}"
-         if "x \<in> U" for x
-      using D2 [OF that]
-      apply clarify
-      apply (rule_tac x="U \<inter> V" in exI)
-      apply (auto intro: that finite_subset [OF *])
-      done
-    qed
-qed
-
-corollary paracompact_closed:
-  fixes S :: "'a :: euclidean_space set"
-  assumes "closed S"
-      and opC: "\<And>T. T \<in> \<C> \<Longrightarrow> open T"
-      and "S \<subseteq> \<Union>\<C>"
-  obtains \<C>' where "S \<subseteq> \<Union>\<C>'"
-               and "\<And>U. U \<in> \<C>' \<Longrightarrow> open U \<and> (\<exists>T. T \<in> \<C> \<and> U \<subseteq> T)"
-               and "\<And>x. \<exists>V. open V \<and> x \<in> V \<and>
-                               finite {U. U \<in> \<C>' \<and> (U \<inter> V \<noteq> {})}"
-using paracompact_closedin [of UNIV S \<C>] assms
-by (auto simp: open_openin [symmetric] closed_closedin [symmetric])
-
-  
-subsection\<open>Closed-graph characterization of continuity\<close>
-
-lemma continuous_closed_graph_gen:
-  fixes T :: "'b::real_normed_vector set"
-  assumes contf: "continuous_on S f" and fim: "f ` S \<subseteq> T"
-    shows "closedin (subtopology euclidean (S \<times> T)) ((\<lambda>x. Pair x (f x)) ` S)"
-proof -
-  have eq: "((\<lambda>x. Pair x (f x)) ` S) = {z. z \<in> S \<times> T \<and> (f \<circ> fst)z - snd z \<in> {0}}"
-    using fim by auto
-  show ?thesis
-    apply (subst eq)
-    apply (intro continuous_intros continuous_closedin_preimage continuous_on_subset [OF contf])
-    by auto
-qed
-
-lemma continuous_closed_graph_eq:
-  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space"
-  assumes "compact T" and fim: "f ` S \<subseteq> T"
-  shows "continuous_on S f \<longleftrightarrow>
-         closedin (subtopology euclidean (S \<times> T)) ((\<lambda>x. Pair x (f x)) ` S)"
-         (is "?lhs = ?rhs")
-proof -
-  have "?lhs" if ?rhs
-  proof (clarsimp simp add: continuous_on_closed_gen [OF fim])
-    fix U
-    assume U: "closedin (subtopology euclidean T) U"
-    have eq: "{x. x \<in> S \<and> f x \<in> U} = fst ` (((\<lambda>x. Pair x (f x)) ` S) \<inter> (S \<times> U))"
-      by (force simp: image_iff)
-    show "closedin (subtopology euclidean S) {x \<in> S. f x \<in> U}"
-      by (simp add: U closedin_Int closedin_Times closed_map_fst [OF \<open>compact T\<close>] that eq)
-  qed
-  with continuous_closed_graph_gen assms show ?thesis by blast
-qed
-
-lemma continuous_closed_graph:
-  fixes f :: "'a::topological_space \<Rightarrow> 'b::real_normed_vector"
-  assumes "closed S" and contf: "continuous_on S f"
-  shows "closed ((\<lambda>x. Pair x (f x)) ` S)"
-  apply (rule closedin_closed_trans)
-   apply (rule continuous_closed_graph_gen [OF contf subset_UNIV])
-  by (simp add: \<open>closed S\<close> closed_Times)
-
-lemma continuous_from_closed_graph:
-  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space"
-  assumes "compact T" and fim: "f ` S \<subseteq> T" and clo: "closed ((\<lambda>x. Pair x (f x)) ` S)"
-  shows "continuous_on S f"
-    using fim clo
-    by (auto intro: closed_subset simp: continuous_closed_graph_eq [OF \<open>compact T\<close> fim])
-
-lemma continuous_on_Un_local_open:
-  assumes opS: "openin (subtopology euclidean (S \<union> T)) S"
-      and opT: "openin (subtopology euclidean (S \<union> T)) T"
-      and contf: "continuous_on S f" and contg: "continuous_on T f"
-    shows "continuous_on (S \<union> T) f"
-using pasting_lemma [of "{S,T}" "S \<union> T" "\<lambda>i. i" "\<lambda>i. f" f] contf contg opS opT by blast
-
-lemma continuous_on_cases_local_open:
-  assumes opS: "openin (subtopology euclidean (S \<union> T)) S"
-      and opT: "openin (subtopology euclidean (S \<union> T)) T"
-      and contf: "continuous_on S f" and contg: "continuous_on T g"
-      and fg: "\<And>x. x \<in> S \<and> ~P x \<or> x \<in> T \<and> P x \<Longrightarrow> f x = g x"
-    shows "continuous_on (S \<union> T) (\<lambda>x. if P x then f x else g x)"
-proof -
-  have "\<And>x. x \<in> S \<Longrightarrow> (if P x then f x else g x) = f x"  "\<And>x. x \<in> T \<Longrightarrow> (if P x then f x else g x) = g x"
-    by (simp_all add: fg)
-  then have "continuous_on S (\<lambda>x. if P x then f x else g x)" "continuous_on T (\<lambda>x. if P x then f x else g x)"
-    by (simp_all add: contf contg cong: continuous_on_cong)
-  then show ?thesis
-    by (rule continuous_on_Un_local_open [OF opS opT])
-qed
-  
-subsection\<open>The union of two collinear segments is another segment\<close>
-
-proposition in_convex_hull_exchange:
-  fixes a :: "'a::euclidean_space"
-  assumes a: "a \<in> convex hull S" and xS: "x \<in> convex hull S"
-  obtains b where "b \<in> S" "x \<in> convex hull (insert a (S - {b}))"
-proof (cases "a \<in> S")
-  case True
-  with xS insert_Diff that  show ?thesis by fastforce
-next
-  case False
-  show ?thesis
-  proof (cases "finite S \<and> card S \<le> Suc (DIM('a))")
-    case True
-    then obtain u where u0: "\<And>i. i \<in> S \<Longrightarrow> 0 \<le> u i" and u1: "sum u S = 1"
-                    and ua: "(\<Sum>i\<in>S. u i *\<^sub>R i) = a"
-        using a by (auto simp: convex_hull_finite)
-    obtain v where v0: "\<And>i. i \<in> S \<Longrightarrow> 0 \<le> v i" and v1: "sum v S = 1"
-               and vx: "(\<Sum>i\<in>S. v i *\<^sub>R i) = x"
-      using True xS by (auto simp: convex_hull_finite)
-    show ?thesis
-    proof (cases "\<exists>b. b \<in> S \<and> v b = 0")
-      case True
-      then obtain b where b: "b \<in> S" "v b = 0"
-        by blast
-      show ?thesis
-      proof
-        have fin: "finite (insert a (S - {b}))"
-          using sum.infinite v1 by fastforce
-        show "x \<in> convex hull insert a (S - {b})"
-          unfolding convex_hull_finite [OF fin] mem_Collect_eq
-        proof (intro conjI exI ballI)
-          have "(\<Sum>x \<in> insert a (S - {b}). if x = a then 0 else v x) =
-                (\<Sum>x \<in> S - {b}. if x = a then 0 else v x)"
-            apply (rule sum.mono_neutral_right)
-            using fin by auto
-          also have "... = (\<Sum>x \<in> S - {b}. v x)"
-            using b False by (auto intro!: sum.cong split: if_split_asm)
-          also have "... = (\<Sum>x\<in>S. v x)"
-            by (metis \<open>v b = 0\<close> diff_zero sum.infinite sum_diff1 u1 zero_neq_one)
-          finally show "(\<Sum>x\<in>insert a (S - {b}). if x = a then 0 else v x) = 1"
-            by (simp add: v1)
-          show "\<And>x. x \<in> insert a (S - {b}) \<Longrightarrow> 0 \<le> (if x = a then 0 else v x)"
-            by (auto simp: v0)
-          have "(\<Sum>x \<in> insert a (S - {b}). (if x = a then 0 else v x) *\<^sub>R x) =
-                (\<Sum>x \<in> S - {b}. (if x = a then 0 else v x) *\<^sub>R x)"
-            apply (rule sum.mono_neutral_right)
-            using fin by auto
-          also have "... = (\<Sum>x \<in> S - {b}. v x *\<^sub>R x)"
-            using b False by (auto intro!: sum.cong split: if_split_asm)
-          also have "... = (\<Sum>x\<in>S. v x *\<^sub>R x)"
-            by (metis (no_types, lifting) b(2) diff_zero fin finite.emptyI finite_Diff2 finite_insert real_vector.scale_eq_0_iff sum_diff1)
-          finally show "(\<Sum>x\<in>insert a (S - {b}). (if x = a then 0 else v x) *\<^sub>R x) = x"
-            by (simp add: vx)
-        qed
-      qed (rule \<open>b \<in> S\<close>)
-    next
-      case False
-      have le_Max: "u i / v i \<le> Max ((\<lambda>i. u i / v i) ` S)" if "i \<in> S" for i
-        by (simp add: True that)
-      have "Max ((\<lambda>i. u i / v i) ` S) \<in> (\<lambda>i. u i / v i) ` S"
-        using True v1 by (auto intro: Max_in)
-      then obtain b where "b \<in> S" and beq: "Max ((\<lambda>b. u b / v b) ` S) = u b / v b"
-        by blast
-      then have "0 \<noteq> u b / v b"
-        using le_Max beq divide_le_0_iff le_numeral_extra(2) sum_nonpos u1
-        by (metis False eq_iff v0)
-      then have  "0 < u b" "0 < v b"
-        using False \<open>b \<in> S\<close> u0 v0 by force+
-      have fin: "finite (insert a (S - {b}))"
-        using sum.infinite v1 by fastforce
-      show ?thesis
-      proof
-        show "x \<in> convex hull insert a (S - {b})"
-          unfolding convex_hull_finite [OF fin] mem_Collect_eq
-        proof (intro conjI exI ballI)
-          have "(\<Sum>x \<in> insert a (S - {b}). if x=a then v b / u b else v x - (v b / u b) * u x) =
-                v b / u b + (\<Sum>x \<in> S - {b}. v x - (v b / u b) * u x)"
-            using \<open>a \<notin> S\<close> \<open>b \<in> S\<close> True  apply simp
-            apply (rule sum.cong, auto)
-            done
-          also have "... = v b / u b + (\<Sum>x \<in> S - {b}. v x) - (v b / u b) * (\<Sum>x \<in> S - {b}. u x)"
-            by (simp add: Groups_Big.sum_subtractf sum_distrib_left)
-          also have "... = (\<Sum>x\<in>S. v x)"
-            using \<open>0 < u b\<close> True  by (simp add: Groups_Big.sum_diff1 u1 field_simps)
-          finally show "sum (\<lambda>x. if x=a then v b / u b else v x - (v b / u b) * u x) (insert a (S - {b})) = 1"
-            by (simp add: v1)
-          show "0 \<le> (if i = a then v b / u b else v i - v b / u b * u i)"
-            if "i \<in> insert a (S - {b})" for i
-            using \<open>0 < u b\<close> \<open>0 < v b\<close> v0 [of i] le_Max [of i] beq that False
-            by (auto simp: field_simps split: if_split_asm)
-          have "(\<Sum>x\<in>insert a (S - {b}). (if x=a then v b / u b else v x - v b / u b * u x) *\<^sub>R x) =
-                (v b / u b) *\<^sub>R a + (\<Sum>x\<in>S - {b}. (v x - v b / u b * u x) *\<^sub>R x)"
-            using \<open>a \<notin> S\<close> \<open>b \<in> S\<close> True  apply simp
-            apply (rule sum.cong, auto)
-            done
-          also have "... = (v b / u b) *\<^sub>R a + (\<Sum>x \<in> S - {b}. v x *\<^sub>R x) - (v b / u b) *\<^sub>R (\<Sum>x \<in> S - {b}. u x *\<^sub>R x)"
-            by (simp add: Groups_Big.sum_subtractf scaleR_left_diff_distrib sum_distrib_left real_vector.scale_sum_right)
-          also have "... = (\<Sum>x\<in>S. v x *\<^sub>R x)"
-            using \<open>0 < u b\<close> True  by (simp add: ua vx Groups_Big.sum_diff1 algebra_simps)
-          finally
-          show "(\<Sum>x\<in>insert a (S - {b}). (if x=a then v b / u b else v x - v b / u b * u x) *\<^sub>R x) = x"
-            by (simp add: vx)
-        qed
-      qed (rule \<open>b \<in> S\<close>)
-    qed
-  next
-    case False
-    obtain T where "finite T" "T \<subseteq> S" and caT: "card T \<le> Suc (DIM('a))" and xT: "x \<in> convex hull T"
-      using xS by (auto simp: caratheodory [of S])
-    with False obtain b where b: "b \<in> S" "b \<notin> T"
-      by (metis antisym subsetI)
-    show ?thesis
-    proof
-      show "x \<in> convex hull insert a (S - {b})"
-        using  \<open>T \<subseteq> S\<close> b by (blast intro: subsetD [OF hull_mono xT])
-    qed (rule \<open>b \<in> S\<close>)
-  qed
-qed
-
-lemma convex_hull_exchange_Union:
-  fixes a :: "'a::euclidean_space"
-  assumes "a \<in> convex hull S"
-  shows "convex hull S = (\<Union>b \<in> S. convex hull (insert a (S - {b})))" (is "?lhs = ?rhs")
-proof
-  show "?lhs \<subseteq> ?rhs"
-    by (blast intro: in_convex_hull_exchange [OF assms])
-  show "?rhs \<subseteq> ?lhs"
-  proof clarify
-    fix x b
-    assume"b \<in> S" "x \<in> convex hull insert a (S - {b})"
-    then show "x \<in> convex hull S" if "b \<in> S"
-      by (metis (no_types) that assms order_refl hull_mono hull_redundant insert_Diff_single insert_subset subsetCE)
-  qed
-qed
-
-lemma Un_closed_segment:
-  fixes a :: "'a::euclidean_space"
-  assumes "b \<in> closed_segment a c"
-    shows "closed_segment a b \<union> closed_segment b c = closed_segment a c"
-proof (cases "c = a")
-  case True
-  with assms show ?thesis by simp
-next
-  case False
-  with assms have "convex hull {a, b} \<union> convex hull {b, c} = (\<Union>ba\<in>{a, c}. convex hull insert b ({a, c} - {ba}))"
-    by (auto simp: insert_Diff_if insert_commute)
-  then show ?thesis
-    using convex_hull_exchange_Union
-    by (metis assms segment_convex_hull)
-qed
-
-lemma Un_open_segment:
-  fixes a :: "'a::euclidean_space"
-  assumes "b \<in> open_segment a c"
-  shows "open_segment a b \<union> {b} \<union> open_segment b c = open_segment a c"
-proof -
-  have b: "b \<in> closed_segment a c"
-    by (simp add: assms open_closed_segment)
-  have *: "open_segment a c \<subseteq> insert b (open_segment a b \<union> open_segment b c)"
-          if "{b,c,a} \<union> open_segment a b \<union> open_segment b c = {c,a} \<union> open_segment a c"
-  proof -
-    have "insert a (insert c (insert b (open_segment a b \<union> open_segment b c))) = insert a (insert c (open_segment a c))"
-      using that by (simp add: insert_commute)
-    then show ?thesis
-      by (metis (no_types) Diff_cancel Diff_eq_empty_iff Diff_insert2 open_segment_def)
-  qed
-  show ?thesis
-    using Un_closed_segment [OF b]
-    apply (simp add: closed_segment_eq_open)
-      apply (rule equalityI)
-    using assms
-     apply (simp add: b subset_open_segment)
-      using * by (simp add: insert_commute)
-qed
-
-subsection\<open>Covering an open set by a countable chain of compact sets\<close>
-  
-proposition open_Union_compact_subsets:
-  fixes S :: "'a::euclidean_space set"
-  assumes "open S"
-  obtains C where "\<And>n. compact(C n)" "\<And>n. C n \<subseteq> S"
-                  "\<And>n. C n \<subseteq> interior(C(Suc n))"
-                  "\<Union>(range C) = S"
-                  "\<And>K. \<lbrakk>compact K; K \<subseteq> S\<rbrakk> \<Longrightarrow> \<exists>N. \<forall>n\<ge>N. K \<subseteq> (C n)"
-proof (cases "S = {}")
-  case True
-  then show ?thesis
-    by (rule_tac C = "\<lambda>n. {}" in that) auto
-next
-  case False
-  then obtain a where "a \<in> S"
-    by auto
-  let ?C = "\<lambda>n. cball a (real n) - (\<Union>x \<in> -S. \<Union>e \<in> ball 0 (1 / real(Suc n)). {x + e})"
-  have "\<exists>N. \<forall>n\<ge>N. K \<subseteq> (f n)"
-        if "\<And>n. compact(f n)" and sub_int: "\<And>n. f n \<subseteq> interior (f(Suc n))"
-            and eq: "\<Union>(range f) = S" and "compact K" "K \<subseteq> S" for f K
-  proof -
-    have *: "\<forall>n. f n \<subseteq> (\<Union>n. interior (f n))"
-      by (meson Sup_upper2 UNIV_I \<open>\<And>n. f n \<subseteq> interior (f (Suc n))\<close> image_iff)
-    have mono: "\<And>m n. m \<le> n \<Longrightarrow>f m \<subseteq> f n"
-      by (meson dual_order.trans interior_subset lift_Suc_mono_le sub_int)
-    obtain I where "finite I" and I: "K \<subseteq> (\<Union>i\<in>I. interior (f i))"
-    proof (rule compactE_image [OF \<open>compact K\<close>])
-      show "K \<subseteq> (\<Union>n. interior (f n))"
-        using \<open>K \<subseteq> S\<close> \<open>UNION UNIV f = S\<close> * by blast
-    qed auto
-    { fix n
-      assume n: "Max I \<le> n"
-      have "(\<Union>i\<in>I. interior (f i)) \<subseteq> f n"
-        by (rule UN_least) (meson dual_order.trans interior_subset mono I Max_ge [OF \<open>finite I\<close>] n)
-      then have "K \<subseteq> f n"
-        using I by auto
-    }
-    then show ?thesis
-      by blast
-  qed
-  moreover have "\<exists>f. (\<forall>n. compact(f n)) \<and> (\<forall>n. (f n) \<subseteq> S) \<and> (\<forall>n. (f n) \<subseteq> interior(f(Suc n))) \<and>
-                     ((\<Union>(range f) = S))"
-  proof (intro exI conjI allI)
-    show "\<And>n. compact (?C n)"
-      by (auto simp: compact_diff open_sums)
-    show "\<And>n. ?C n \<subseteq> S"
-      by auto
-    show "?C n \<subseteq> interior (?C (Suc n))" for n
-    proof (simp add: interior_diff, rule Diff_mono)
-      show "cball a (real n) \<subseteq> ball a (1 + real n)"
-        by (simp add: cball_subset_ball_iff)
-      have cl: "closed (\<Union>x\<in>- S. \<Union>e\<in>cball 0 (1 / (2 + real n)). {x + e})"
-        using assms by (auto intro: closed_compact_sums)
-      have "closure (\<Union>x\<in>- S. \<Union>y\<in>ball 0 (1 / (2 + real n)). {x + y})
-            \<subseteq> (\<Union>x \<in> -S. \<Union>e \<in> cball 0 (1 / (2 + real n)). {x + e})"
-        by (intro closure_minimal UN_mono ball_subset_cball order_refl cl)
-      also have "... \<subseteq> (\<Union>x \<in> -S. \<Union>y\<in>ball 0 (1 / (1 + real n)). {x + y})"
-        apply (intro UN_mono order_refl)
-        apply (simp add: cball_subset_ball_iff divide_simps)
-        done
-      finally show "closure (\<Union>x\<in>- S. \<Union>y\<in>ball 0 (1 / (2 + real n)). {x + y})
-                    \<subseteq> (\<Union>x \<in> -S. \<Union>y\<in>ball 0 (1 / (1 + real n)). {x + y})" .
-    qed
-    have "S \<subseteq> UNION UNIV ?C"
-    proof
-      fix x
-      assume x: "x \<in> S"
-      then obtain e where "e > 0" and e: "ball x e \<subseteq> S"
-        using assms open_contains_ball by blast
-      then obtain N1 where "N1 > 0" and N1: "real N1 > 1/e"
-        using reals_Archimedean2
-        by (metis divide_less_0_iff less_eq_real_def neq0_conv not_le of_nat_0 of_nat_1 of_nat_less_0_iff)
-      obtain N2 where N2: "norm(x - a) \<le> real N2"
-        by (meson real_arch_simple)
-      have N12: "inverse((N1 + N2) + 1) \<le> inverse(N1)"
-        using \<open>N1 > 0\<close> by (auto simp: divide_simps)
-      have "x \<noteq> y + z" if "y \<notin> S" "norm z < 1 / (1 + (real N1 + real N2))" for y z
-      proof -
-        have "e * real N1 < e * (1 + (real N1 + real N2))"
-          by (simp add: \<open>0 < e\<close>)
-        then have "1 / (1 + (real N1 + real N2)) < e"
-          using N1 \<open>e > 0\<close>
-          by (metis divide_less_eq less_trans mult.commute of_nat_add of_nat_less_0_iff of_nat_Suc)
-        then have "x - z \<in> ball x e"
-          using that by simp
-        then have "x - z \<in> S"
-          using e by blast
-        with that show ?thesis
-          by auto
-      qed
-      with N2 show "x \<in> UNION UNIV ?C"
-        by (rule_tac a = "N1+N2" in UN_I) (auto simp: dist_norm norm_minus_commute)
-    qed
-    then show "UNION UNIV ?C = S" by auto
-  qed
-  ultimately show ?thesis
-    using that by metis
-qed
-  
 end
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/src/HOL/Analysis/Starlike.thy	Thu Jul 20 14:05:29 2017 +0100
@@ -0,0 +1,7896 @@
+(* Title:      HOL/Analysis/Starlike.thy
+   Author:     L C Paulson, University of Cambridge
+   Author:     Robert Himmelmann, TU Muenchen
+   Author:     Bogdan Grechuk, University of Edinburgh
+   Author:     Armin Heller, TU Muenchen
+   Author:     Johannes Hoelzl, TU Muenchen
+*)
+
+section \<open>Line segments, Starlike Sets, etc.\<close>
+
+theory Starlike
+  imports Convex_Euclidean_Space
+
+begin
+
+definition midpoint :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a"
+  where "midpoint a b = (inverse (2::real)) *\<^sub>R (a + b)"
+
+definition closed_segment :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a set"
+  where "closed_segment a b = {(1 - u) *\<^sub>R a + u *\<^sub>R b | u::real. 0 \<le> u \<and> u \<le> 1}"
+
+definition open_segment :: "'a::real_vector \<Rightarrow> 'a \<Rightarrow> 'a set" where
+  "open_segment a b \<equiv> closed_segment a b - {a,b}"
+
+lemmas segment = open_segment_def closed_segment_def
+
+lemma in_segment:
+    "x \<in> closed_segment a b \<longleftrightarrow> (\<exists>u. 0 \<le> u \<and> u \<le> 1 \<and> x = (1 - u) *\<^sub>R a + u *\<^sub>R b)"
+    "x \<in> open_segment a b \<longleftrightarrow> a \<noteq> b \<and> (\<exists>u. 0 < u \<and> u < 1 \<and> x = (1 - u) *\<^sub>R a + u *\<^sub>R b)"
+  using less_eq_real_def by (auto simp: segment algebra_simps)
+
+lemma closed_segment_linear_image:
+    "linear f \<Longrightarrow> closed_segment (f a) (f b) = f ` (closed_segment a b)"
+  by (force simp add: in_segment linear_add_cmul)
+
+lemma open_segment_linear_image:
+    "\<lbrakk>linear f; inj f\<rbrakk> \<Longrightarrow> open_segment (f a) (f b) = f ` (open_segment a b)"
+  by (force simp: open_segment_def closed_segment_linear_image inj_on_def)
+
+lemma closed_segment_translation:
+    "closed_segment (c + a) (c + b) = image (\<lambda>x. c + x) (closed_segment a b)"
+apply safe
+apply (rule_tac x="x-c" in image_eqI)
+apply (auto simp: in_segment algebra_simps)
+done
+
+lemma open_segment_translation:
+    "open_segment (c + a) (c + b) = image (\<lambda>x. c + x) (open_segment a b)"
+by (simp add: open_segment_def closed_segment_translation translation_diff)
+
+lemma closed_segment_of_real:
+    "closed_segment (of_real x) (of_real y) = of_real ` closed_segment x y"
+  apply (auto simp: image_iff in_segment scaleR_conv_of_real)
+    apply (rule_tac x="(1-u)*x + u*y" in bexI)
+  apply (auto simp: in_segment)
+  done
+
+lemma open_segment_of_real:
+    "open_segment (of_real x) (of_real y) = of_real ` open_segment x y"
+  apply (auto simp: image_iff in_segment scaleR_conv_of_real)
+    apply (rule_tac x="(1-u)*x + u*y" in bexI)
+  apply (auto simp: in_segment)
+  done
+
+lemma closed_segment_Reals:
+    "\<lbrakk>x \<in> Reals; y \<in> Reals\<rbrakk> \<Longrightarrow> closed_segment x y = of_real ` closed_segment (Re x) (Re y)"
+  by (metis closed_segment_of_real of_real_Re)
+
+lemma open_segment_Reals:
+    "\<lbrakk>x \<in> Reals; y \<in> Reals\<rbrakk> \<Longrightarrow> open_segment x y = of_real ` open_segment (Re x) (Re y)"
+  by (metis open_segment_of_real of_real_Re)
+
+lemma open_segment_PairD:
+    "(x, x') \<in> open_segment (a, a') (b, b')
+     \<Longrightarrow> (x \<in> open_segment a b \<or> a = b) \<and> (x' \<in> open_segment a' b' \<or> a' = b')"
+  by (auto simp: in_segment)
+
+lemma closed_segment_PairD:
+  "(x, x') \<in> closed_segment (a, a') (b, b') \<Longrightarrow> x \<in> closed_segment a b \<and> x' \<in> closed_segment a' b'"
+  by (auto simp: closed_segment_def)
+
+lemma closed_segment_translation_eq [simp]:
+    "d + x \<in> closed_segment (d + a) (d + b) \<longleftrightarrow> x \<in> closed_segment a b"
+proof -
+  have *: "\<And>d x a b. x \<in> closed_segment a b \<Longrightarrow> d + x \<in> closed_segment (d + a) (d + b)"
+    apply (simp add: closed_segment_def)
+    apply (erule ex_forward)
+    apply (simp add: algebra_simps)
+    done
+  show ?thesis
+  using * [where d = "-d"] *
+  by (fastforce simp add:)
+qed
+
+lemma open_segment_translation_eq [simp]:
+    "d + x \<in> open_segment (d + a) (d + b) \<longleftrightarrow> x \<in> open_segment a b"
+  by (simp add: open_segment_def)
+
+lemma of_real_closed_segment [simp]:
+  "of_real x \<in> closed_segment (of_real a) (of_real b) \<longleftrightarrow> x \<in> closed_segment a b"
+  apply (auto simp: in_segment scaleR_conv_of_real elim!: ex_forward)
+  using of_real_eq_iff by fastforce
+
+lemma of_real_open_segment [simp]:
+  "of_real x \<in> open_segment (of_real a) (of_real b) \<longleftrightarrow> x \<in> open_segment a b"
+  apply (auto simp: in_segment scaleR_conv_of_real elim!: ex_forward del: exE)
+  using of_real_eq_iff by fastforce
+
+lemma midpoint_idem [simp]: "midpoint x x = x"
+  unfolding midpoint_def
+  unfolding scaleR_right_distrib
+  unfolding scaleR_left_distrib[symmetric]
+  by auto
+
+lemma midpoint_sym: "midpoint a b = midpoint b a"
+  unfolding midpoint_def by (auto simp add: scaleR_right_distrib)
+
+lemma midpoint_eq_iff: "midpoint a b = c \<longleftrightarrow> a + b = c + c"
+proof -
+  have "midpoint a b = c \<longleftrightarrow> scaleR 2 (midpoint a b) = scaleR 2 c"
+    by simp
+  then show ?thesis
+    unfolding midpoint_def scaleR_2 [symmetric] by simp
+qed
+
+lemma
+  fixes a::real
+  assumes "a \<le> b" shows ge_midpoint_1: "a \<le> midpoint a b"
+                    and le_midpoint_1: "midpoint a b \<le> b"
+  by (simp_all add: midpoint_def assms)
+
+lemma dist_midpoint:
+  fixes a b :: "'a::real_normed_vector" shows
+  "dist a (midpoint a b) = (dist a b) / 2" (is ?t1)
+  "dist b (midpoint a b) = (dist a b) / 2" (is ?t2)
+  "dist (midpoint a b) a = (dist a b) / 2" (is ?t3)
+  "dist (midpoint a b) b = (dist a b) / 2" (is ?t4)
+proof -
+  have *: "\<And>x y::'a. 2 *\<^sub>R x = - y \<Longrightarrow> norm x = (norm y) / 2"
+    unfolding equation_minus_iff by auto
+  have **: "\<And>x y::'a. 2 *\<^sub>R x =   y \<Longrightarrow> norm x = (norm y) / 2"
+    by auto
+  note scaleR_right_distrib [simp]
+  show ?t1
+    unfolding midpoint_def dist_norm
+    apply (rule **)
+    apply (simp add: scaleR_right_diff_distrib)
+    apply (simp add: scaleR_2)
+    done
+  show ?t2
+    unfolding midpoint_def dist_norm
+    apply (rule *)
+    apply (simp add: scaleR_right_diff_distrib)
+    apply (simp add: scaleR_2)
+    done
+  show ?t3
+    unfolding midpoint_def dist_norm
+    apply (rule *)
+    apply (simp add: scaleR_right_diff_distrib)
+    apply (simp add: scaleR_2)
+    done
+  show ?t4
+    unfolding midpoint_def dist_norm
+    apply (rule **)
+    apply (simp add: scaleR_right_diff_distrib)
+    apply (simp add: scaleR_2)
+    done
+qed
+
+lemma midpoint_eq_endpoint [simp]:
+  "midpoint a b = a \<longleftrightarrow> a = b"
+  "midpoint a b = b \<longleftrightarrow> a = b"
+  unfolding midpoint_eq_iff by auto
+
+lemma midpoint_plus_self [simp]: "midpoint a b + midpoint a b = a + b"
+  using midpoint_eq_iff by metis
+
+lemma midpoint_linear_image:
+   "linear f \<Longrightarrow> midpoint(f a)(f b) = f(midpoint a b)"
+by (simp add: linear_iff midpoint_def)
+
+subsection\<open>Starlike sets\<close>
+
+definition "starlike S \<longleftrightarrow> (\<exists>a\<in>S. \<forall>x\<in>S. closed_segment a x \<subseteq> S)"
+
+lemma starlike_UNIV [simp]: "starlike UNIV"
+  by (simp add: starlike_def)
+
+lemma convex_contains_segment:
+  "convex S \<longleftrightarrow> (\<forall>a\<in>S. \<forall>b\<in>S. closed_segment a b \<subseteq> S)"
+  unfolding convex_alt closed_segment_def by auto
+
+lemma closed_segment_subset: "\<lbrakk>x \<in> S; y \<in> S; convex S\<rbrakk> \<Longrightarrow> closed_segment x y \<subseteq> S"
+  by (simp add: convex_contains_segment)
+
+lemma closed_segment_subset_convex_hull:
+    "\<lbrakk>x \<in> convex hull S; y \<in> convex hull S\<rbrakk> \<Longrightarrow> closed_segment x y \<subseteq> convex hull S"
+  using convex_contains_segment by blast
+
+lemma convex_imp_starlike:
+  "convex S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> starlike S"
+  unfolding convex_contains_segment starlike_def by auto
+
+lemma segment_convex_hull:
+  "closed_segment a b = convex hull {a,b}"
+proof -
+  have *: "\<And>x. {x} \<noteq> {}" by auto
+  show ?thesis
+    unfolding segment convex_hull_insert[OF *] convex_hull_singleton
+    by (safe; rule_tac x="1 - u" in exI; force)
+qed
+
+lemma open_closed_segment: "u \<in> open_segment w z \<Longrightarrow> u \<in> closed_segment w z"
+  by (auto simp add: closed_segment_def open_segment_def)
+
+lemma segment_open_subset_closed:
+   "open_segment a b \<subseteq> closed_segment a b"
+  by (auto simp: closed_segment_def open_segment_def)
+
+lemma bounded_closed_segment:
+    fixes a :: "'a::euclidean_space" shows "bounded (closed_segment a b)"
+  by (simp add: segment_convex_hull compact_convex_hull compact_imp_bounded)
+
+lemma bounded_open_segment:
+    fixes a :: "'a::euclidean_space" shows "bounded (open_segment a b)"
+  by (rule bounded_subset [OF bounded_closed_segment segment_open_subset_closed])
+
+lemmas bounded_segment = bounded_closed_segment open_closed_segment
+
+lemma ends_in_segment [iff]: "a \<in> closed_segment a b" "b \<in> closed_segment a b"
+  unfolding segment_convex_hull
+  by (auto intro!: hull_subset[unfolded subset_eq, rule_format])
+
+lemma eventually_closed_segment:
+  fixes x0::"'a::real_normed_vector"
+  assumes "open X0" "x0 \<in> X0"
+  shows "\<forall>\<^sub>F x in at x0 within U. closed_segment x0 x \<subseteq> X0"
+proof -
+  from openE[OF assms]
+  obtain e where e: "0 < e" "ball x0 e \<subseteq> X0" .
+  then have "\<forall>\<^sub>F x in at x0 within U. x \<in> ball x0 e"
+    by (auto simp: dist_commute eventually_at)
+  then show ?thesis
+  proof eventually_elim
+    case (elim x)
+    have "x0 \<in> ball x0 e" using \<open>e > 0\<close> by simp
+    from convex_ball[unfolded convex_contains_segment, rule_format, OF this elim]
+    have "closed_segment x0 x \<subseteq> ball x0 e" .
+    also note \<open>\<dots> \<subseteq> X0\<close>
+    finally show ?case .
+  qed
+qed
+
+lemma segment_furthest_le:
+  fixes a b x y :: "'a::euclidean_space"
+  assumes "x \<in> closed_segment a b"
+  shows "norm (y - x) \<le> norm (y - a) \<or>  norm (y - x) \<le> norm (y - b)"
+proof -
+  obtain z where "z \<in> {a, b}" "norm (x - y) \<le> norm (z - y)"
+    using simplex_furthest_le[of "{a, b}" y]
+    using assms[unfolded segment_convex_hull]
+    by auto
+  then show ?thesis
+    by (auto simp add:norm_minus_commute)
+qed
+
+lemma closed_segment_commute: "closed_segment a b = closed_segment b a"
+proof -
+  have "{a, b} = {b, a}" by auto
+  thus ?thesis
+    by (simp add: segment_convex_hull)
+qed
+
+lemma segment_bound1:
+  assumes "x \<in> closed_segment a b"
+  shows "norm (x - a) \<le> norm (b - a)"
+proof -
+  obtain u where "x = (1 - u) *\<^sub>R a + u *\<^sub>R b" "0 \<le> u" "u \<le> 1"
+    using assms by (auto simp add: closed_segment_def)
+  then show "norm (x - a) \<le> norm (b - a)"
+    apply clarify
+    apply (auto simp: algebra_simps)
+    apply (simp add: scaleR_diff_right [symmetric] mult_left_le_one_le)
+    done
+qed
+
+lemma segment_bound:
+  assumes "x \<in> closed_segment a b"
+  shows "norm (x - a) \<le> norm (b - a)" "norm (x - b) \<le> norm (b - a)"
+apply (simp add: assms segment_bound1)
+by (metis assms closed_segment_commute dist_commute dist_norm segment_bound1)
+
+lemma open_segment_commute: "open_segment a b = open_segment b a"
+proof -
+  have "{a, b} = {b, a}" by auto
+  thus ?thesis
+    by (simp add: closed_segment_commute open_segment_def)
+qed
+
+lemma closed_segment_idem [simp]: "closed_segment a a = {a}"
+  unfolding segment by (auto simp add: algebra_simps)
+
+lemma open_segment_idem [simp]: "open_segment a a = {}"
+  by (simp add: open_segment_def)
+
+lemma closed_segment_eq_open: "closed_segment a b = open_segment a b \<union> {a,b}"
+  using open_segment_def by auto
+
+lemma convex_contains_open_segment:
+  "convex s \<longleftrightarrow> (\<forall>a\<in>s. \<forall>b\<in>s. open_segment a b \<subseteq> s)"
+  by (simp add: convex_contains_segment closed_segment_eq_open)
+
+lemma closed_segment_eq_real_ivl:
+  fixes a b::real
+  shows "closed_segment a b = (if a \<le> b then {a .. b} else {b .. a})"
+proof -
+  have "b \<le> a \<Longrightarrow> closed_segment b a = {b .. a}"
+    and "a \<le> b \<Longrightarrow> closed_segment a b = {a .. b}"
+    by (auto simp: convex_hull_eq_real_cbox segment_convex_hull)
+  thus ?thesis
+    by (auto simp: closed_segment_commute)
+qed
+
+lemma open_segment_eq_real_ivl:
+  fixes a b::real
+  shows "open_segment a b = (if a \<le> b then {a<..<b} else {b<..<a})"
+by (auto simp: closed_segment_eq_real_ivl open_segment_def split: if_split_asm)
+
+lemma closed_segment_real_eq:
+  fixes u::real shows "closed_segment u v = (\<lambda>x. (v - u) * x + u) ` {0..1}"
+  by (simp add: add.commute [of u] image_affinity_atLeastAtMost [where c=u] closed_segment_eq_real_ivl)
+
+lemma dist_in_closed_segment:
+  fixes a :: "'a :: euclidean_space"
+  assumes "x \<in> closed_segment a b"
+    shows "dist x a \<le> dist a b \<and> dist x b \<le> dist a b"
+proof (intro conjI)
+  obtain u where u: "0 \<le> u" "u \<le> 1" and x: "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
+    using assms by (force simp: in_segment algebra_simps)
+  have "dist x a = u * dist a b"
+    apply (simp add: dist_norm algebra_simps x)
+    by (metis \<open>0 \<le> u\<close> abs_of_nonneg norm_minus_commute norm_scaleR real_vector.scale_right_diff_distrib)
+  also have "...  \<le> dist a b"
+    by (simp add: mult_left_le_one_le u)
+  finally show "dist x a \<le> dist a b" .
+  have "dist x b = norm ((1-u) *\<^sub>R a - (1-u) *\<^sub>R b)"
+    by (simp add: dist_norm algebra_simps x)
+  also have "... = (1-u) * dist a b"
+  proof -
+    have "norm ((1 - 1 * u) *\<^sub>R (a - b)) = (1 - 1 * u) * norm (a - b)"
+      using \<open>u \<le> 1\<close> by force
+    then show ?thesis                     
+      by (simp add: dist_norm real_vector.scale_right_diff_distrib)
+  qed
+  also have "... \<le> dist a b"
+    by (simp add: mult_left_le_one_le u)
+  finally show "dist x b \<le> dist a b" .
+qed
+
+lemma dist_in_open_segment:
+  fixes a :: "'a :: euclidean_space"
+  assumes "x \<in> open_segment a b"
+    shows "dist x a < dist a b \<and> dist x b < dist a b"
+proof (intro conjI)
+  obtain u where u: "0 < u" "u < 1" and x: "x = (1 - u) *\<^sub>R a + u *\<^sub>R b"
+    using assms by (force simp: in_segment algebra_simps)
+  have "dist x a = u * dist a b"
+    apply (simp add: dist_norm algebra_simps x)
+    by (metis abs_of_nonneg less_eq_real_def norm_minus_commute norm_scaleR real_vector.scale_right_diff_distrib \<open>0 < u\<close>)
+  also have *: "...  < dist a b"
+    by (metis (no_types) assms dist_eq_0_iff dist_not_less_zero in_segment(2) linorder_neqE_linordered_idom mult.left_neutral real_mult_less_iff1 \<open>u < 1\<close>)
+  finally show "dist x a < dist a b" .
+  have ab_ne0: "dist a b \<noteq> 0"
+    using * by fastforce
+  have "dist x b = norm ((1-u) *\<^sub>R a - (1-u) *\<^sub>R b)"
+    by (simp add: dist_norm algebra_simps x)
+  also have "... = (1-u) * dist a b"
+  proof -
+    have "norm ((1 - 1 * u) *\<^sub>R (a - b)) = (1 - 1 * u) * norm (a - b)"
+      using \<open>u < 1\<close> by force
+    then show ?thesis
+      by (simp add: dist_norm real_vector.scale_right_diff_distrib)
+  qed
+  also have "... < dist a b"
+    using ab_ne0 \<open>0 < u\<close> by simp
+  finally show "dist x b < dist a b" .
+qed
+
+lemma dist_decreases_open_segment_0:
+  fixes x :: "'a :: euclidean_space"
+  assumes "x \<in> open_segment 0 b"
+    shows "dist c x < dist c 0 \<or> dist c x < dist c b"
+proof (rule ccontr, clarsimp simp: not_less)
+  obtain u where u: "0 \<noteq> b" "0 < u" "u < 1" and x: "x = u *\<^sub>R b"
+    using assms by (auto simp: in_segment)
+  have xb: "x \<bullet> b < b \<bullet> b"
+    using u x by auto
+  assume "norm c \<le> dist c x"
+  then have "c \<bullet> c \<le> (c - x) \<bullet> (c - x)"
+    by (simp add: dist_norm norm_le)
+  moreover have "0 < x \<bullet> b"
+    using u x by auto
+  ultimately have less: "c \<bullet> b < x \<bullet> b"
+    by (simp add: x algebra_simps inner_commute u)
+  assume "dist c b \<le> dist c x"
+  then have "(c - b) \<bullet> (c - b) \<le> (c - x) \<bullet> (c - x)"
+    by (simp add: dist_norm norm_le)
+  then have "(b \<bullet> b) * (1 - u*u) \<le> 2 * (b \<bullet> c) * (1-u)"
+    by (simp add: x algebra_simps inner_commute)
+  then have "(1+u) * (b \<bullet> b) * (1-u) \<le> 2 * (b \<bullet> c) * (1-u)"
+    by (simp add: algebra_simps)
+  then have "(1+u) * (b \<bullet> b) \<le> 2 * (b \<bullet> c)"
+    using \<open>u < 1\<close> by auto
+  with xb have "c \<bullet> b \<ge> x \<bullet> b"
+    by (auto simp: x algebra_simps inner_commute)
+  with less show False by auto
+qed
+
+proposition dist_decreases_open_segment:
+  fixes a :: "'a :: euclidean_space"
+  assumes "x \<in> open_segment a b"
+    shows "dist c x < dist c a \<or> dist c x < dist c b"
+proof -
+  have *: "x - a \<in> open_segment 0 (b - a)" using assms
+    by (metis diff_self open_segment_translation_eq uminus_add_conv_diff)
+  show ?thesis
+    using dist_decreases_open_segment_0 [OF *, of "c-a"] assms
+    by (simp add: dist_norm)
+qed
+
+corollary open_segment_furthest_le:
+  fixes a b x y :: "'a::euclidean_space"
+  assumes "x \<in> open_segment a b"
+  shows "norm (y - x) < norm (y - a) \<or>  norm (y - x) < norm (y - b)"
+  by (metis assms dist_decreases_open_segment dist_norm)
+
+corollary dist_decreases_closed_segment:
+  fixes a :: "'a :: euclidean_space"
+  assumes "x \<in> closed_segment a b"
+    shows "dist c x \<le> dist c a \<or> dist c x \<le> dist c b"
+apply (cases "x \<in> open_segment a b")
+ using dist_decreases_open_segment less_eq_real_def apply blast
+by (metis DiffI assms empty_iff insertE open_segment_def order_refl)
+
+lemma convex_intermediate_ball:
+  fixes a :: "'a :: euclidean_space"
+  shows "\<lbrakk>ball a r \<subseteq> T; T \<subseteq> cball a r\<rbrakk> \<Longrightarrow> convex T"
+apply (simp add: convex_contains_open_segment, clarify)
+by (metis (no_types, hide_lams) less_le_trans mem_ball mem_cball subsetCE dist_decreases_open_segment)
+
+lemma csegment_midpoint_subset: "closed_segment (midpoint a b) b \<subseteq> closed_segment a b"
+  apply (clarsimp simp: midpoint_def in_segment)
+  apply (rule_tac x="(1 + u) / 2" in exI)
+  apply (auto simp: algebra_simps add_divide_distrib diff_divide_distrib)
+  by (metis real_sum_of_halves scaleR_left.add)
+
+lemma notin_segment_midpoint:
+  fixes a :: "'a :: euclidean_space"
+  shows "a \<noteq> b \<Longrightarrow> a \<notin> closed_segment (midpoint a b) b"
+by (auto simp: dist_midpoint dest!: dist_in_closed_segment)
+
+lemma segment_to_closest_point:
+  fixes S :: "'a :: euclidean_space set"
+  shows "\<lbrakk>closed S; S \<noteq> {}\<rbrakk> \<Longrightarrow> open_segment a (closest_point S a) \<inter> S = {}"
+  apply (subst disjoint_iff_not_equal)
+  apply (clarify dest!: dist_in_open_segment)
+  by (metis closest_point_le dist_commute le_less_trans less_irrefl)
+
+lemma segment_to_point_exists:
+  fixes S :: "'a :: euclidean_space set"
+    assumes "closed S" "S \<noteq> {}"
+    obtains b where "b \<in> S" "open_segment a b \<inter> S = {}"
+  by (metis assms segment_to_closest_point closest_point_exists that)
+
+subsubsection\<open>More lemmas, especially for working with the underlying formula\<close>
+
+lemma segment_eq_compose:
+  fixes a :: "'a :: real_vector"
+  shows "(\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) = (\<lambda>x. a + x) o (\<lambda>u. u *\<^sub>R (b - a))"
+    by (simp add: o_def algebra_simps)
+
+lemma segment_degen_1:
+  fixes a :: "'a :: real_vector"
+  shows "(1 - u) *\<^sub>R a + u *\<^sub>R b = b \<longleftrightarrow> a=b \<or> u=1"
+proof -
+  { assume "(1 - u) *\<^sub>R a + u *\<^sub>R b = b"
+    then have "(1 - u) *\<^sub>R a = (1 - u) *\<^sub>R b"
+      by (simp add: algebra_simps)
+    then have "a=b \<or> u=1"
+      by simp
+  } then show ?thesis
+      by (auto simp: algebra_simps)
+qed
+
+lemma segment_degen_0:
+    fixes a :: "'a :: real_vector"
+    shows "(1 - u) *\<^sub>R a + u *\<^sub>R b = a \<longleftrightarrow> a=b \<or> u=0"
+  using segment_degen_1 [of "1-u" b a]
+  by (auto simp: algebra_simps)
+
+lemma add_scaleR_degen:
+  fixes a b ::"'a::real_vector"
+  assumes  "(u *\<^sub>R b + v *\<^sub>R a) = (u *\<^sub>R a + v *\<^sub>R b)"  "u \<noteq> v"
+  shows "a=b"
+  by (metis (no_types, hide_lams) add.commute add_diff_eq diff_add_cancel real_vector.scale_cancel_left real_vector.scale_left_diff_distrib assms)
+  
+lemma closed_segment_image_interval:
+     "closed_segment a b = (\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) ` {0..1}"
+  by (auto simp: set_eq_iff image_iff closed_segment_def)
+
+lemma open_segment_image_interval:
+     "open_segment a b = (if a=b then {} else (\<lambda>u. (1 - u) *\<^sub>R a + u *\<^sub>R b) ` {0<..<1})"
+  by (auto simp:  open_segment_def closed_segment_def segment_degen_0 segment_degen_1)
+
+lemmas segment_image_interval = closed_segment_image_interval open_segment_image_interval
+
+lemma open_segment_bound1:
+  assumes "x \<in> open_segment a b"
+  shows "norm (x - a) < norm (b - a)"
+proof -
+  obtain u where "x = (1 - u) *\<^sub>R a + u *\<^sub>R b" "0 < u" "u < 1" "a \<noteq> b"
+    using assms by (auto simp add: open_segment_image_interval split: if_split_asm)
+  then show "norm (x - a) < norm (b - a)"
+    apply clarify
+    apply (auto simp: algebra_simps)
+    apply (simp add: scaleR_diff_right [symmetric])
+    done
+qed
+
+lemma compact_segment [simp]:
+  fixes a :: "'a::real_normed_vector"
+  shows "compact (closed_segment a b)"
+  by (auto simp: segment_image_interval intro!: compact_continuous_image continuous_intros)
+
+lemma closed_segment [simp]:
+  fixes a :: "'a::real_normed_vector"
+  shows "closed (closed_segment a b)"
+  by (simp add: compact_imp_closed)
+
+lemma closure_closed_segment [simp]:
+  fixes a :: "'a::real_normed_vector"
+  shows "closure(closed_segment a b) = closed_segment a b"
+  by simp
+
+lemma open_segment_bound:
+  assumes "x \<in> open_segment a b"
+  shows "norm (x - a) < norm (b - a)" "norm (x - b) < norm (b - a)"
+apply (simp add: assms open_segment_bound1)
+by (metis assms norm_minus_commute open_segment_bound1 open_segment_commute)
+
+lemma closure_open_segment [simp]:
+    fixes a :: "'a::euclidean_space"
+    shows "closure(open_segment a b) = (if a = b then {} else closed_segment a b)"
+proof -
+  have "closure ((\<lambda>u. u *\<^sub>R (b - a)) ` {0<..<1}) = (\<lambda>u. u *\<^sub>R (b - a)) ` closure {0<..<1}" if "a \<noteq> b"
+    apply (rule closure_injective_linear_image [symmetric])
+    apply (simp add:)
+    using that by (simp add: inj_on_def)
+  then show ?thesis
+    by (simp add: segment_image_interval segment_eq_compose closure_greaterThanLessThan [symmetric]
+         closure_translation image_comp [symmetric] del: closure_greaterThanLessThan)
+qed
+
+lemma closed_open_segment_iff [simp]:
+    fixes a :: "'a::euclidean_space"  shows "closed(open_segment a b) \<longleftrightarrow> a = b"
+  by (metis open_segment_def DiffE closure_eq closure_open_segment ends_in_segment(1) insert_iff segment_image_interval(2))
+
+lemma compact_open_segment_iff [simp]:
+    fixes a :: "'a::euclidean_space"  shows "compact(open_segment a b) \<longleftrightarrow> a = b"
+  by (simp add: bounded_open_segment compact_eq_bounded_closed)
+
+lemma convex_closed_segment [iff]: "convex (closed_segment a b)"
+  unfolding segment_convex_hull by(rule convex_convex_hull)
+
+lemma convex_open_segment [iff]: &q