src/HOL/Multivariate_Analysis/Linear_Algebra.thy
author wenzelm
Wed Sep 04 17:36:37 2013 +0200 (2013-09-04)
changeset 53406 d4374a69ddff
parent 53077 a1b3784f8129
child 53595 5078034ade16
permissions -rw-r--r--
tuned proofs;
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(*  Title:      HOL/Multivariate_Analysis/Linear_Algebra.thy
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    Author:     Amine Chaieb, University of Cambridge
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*)
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header {* Elementary linear algebra on Euclidean spaces *}
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theory Linear_Algebra
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imports
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  Euclidean_Space
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  "~~/src/HOL/Library/Infinite_Set"
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begin
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lemma cond_application_beta: "(if b then f else g) x = (if b then f x else g x)"
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  by auto
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notation inner (infix "\<bullet>" 70)
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lemma square_bound_lemma: "(x::real) < (1 + x) * (1 + x)"
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proof -
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  have "(x + 1/2)\<^sup>2 + 3/4 > 0"
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    using zero_le_power2[of "x+1/2"] by arith
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  then show ?thesis
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    by (simp add: field_simps power2_eq_square)
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qed
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lemma square_continuous:
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  fixes e :: real
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  shows "e > 0 \<Longrightarrow> \<exists>d. 0 < d \<and> (\<forall>y. abs (y - x) < d \<longrightarrow> abs (y * y - x * x) < e)"
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  using isCont_power[OF isCont_ident, of x, unfolded isCont_def LIM_eq, rule_format, of e 2]
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  apply (auto simp add: power2_eq_square)
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  apply (rule_tac x="s" in exI)
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  apply auto
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  apply (erule_tac x=y in allE)
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  apply auto
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  done
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lemma real_le_lsqrt: "0 \<le> x \<Longrightarrow> 0 \<le> y \<Longrightarrow> x \<le> y\<^sup>2 \<Longrightarrow> sqrt x \<le> y"
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  using real_sqrt_le_iff[of x "y\<^sup>2"] by simp
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lemma real_le_rsqrt: "x\<^sup>2 \<le> y \<Longrightarrow> x \<le> sqrt y"
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  using real_sqrt_le_mono[of "x\<^sup>2" y] by simp
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lemma real_less_rsqrt: "x\<^sup>2 < y \<Longrightarrow> x < sqrt y"
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  using real_sqrt_less_mono[of "x\<^sup>2" y] by simp
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lemma sqrt_even_pow2:
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  assumes n: "even n"
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  shows "sqrt (2 ^ n) = 2 ^ (n div 2)"
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proof -
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  from n obtain m where m: "n = 2 * m"
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    unfolding even_mult_two_ex ..
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  from m have "sqrt (2 ^ n) = sqrt ((2 ^ m)\<^sup>2)"
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    by (simp only: power_mult[symmetric] mult_commute)
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  then show ?thesis
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    using m by simp
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qed
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lemma real_div_sqrt: "0 \<le> x \<Longrightarrow> x / sqrt x = sqrt x"
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  apply (cases "x = 0")
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  apply simp_all
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  using sqrt_divide_self_eq[of x]
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  apply (simp add: inverse_eq_divide field_simps)
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  done
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text{* Hence derive more interesting properties of the norm. *}
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lemma norm_eq_0_dot: "norm x = 0 \<longleftrightarrow> x \<bullet> x = (0::real)"
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  by simp (* TODO: delete *)
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lemma norm_cauchy_schwarz: "x \<bullet> y \<le> norm x * norm y"
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  (* TODO: move to Inner_Product.thy *)
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  using Cauchy_Schwarz_ineq2[of x y] by auto
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lemma norm_triangle_sub:
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  fixes x y :: "'a::real_normed_vector"
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  shows "norm x \<le> norm y + norm (x - y)"
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  using norm_triangle_ineq[of "y" "x - y"] by (simp add: field_simps)
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lemma norm_le: "norm x \<le> norm y \<longleftrightarrow> x \<bullet> x \<le> y \<bullet> y"
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  by (simp add: norm_eq_sqrt_inner)
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lemma norm_lt: "norm x < norm y \<longleftrightarrow> x \<bullet> x < y \<bullet> y"
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  by (simp add: norm_eq_sqrt_inner)
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lemma norm_eq: "norm x = norm y \<longleftrightarrow> x \<bullet> x = y \<bullet> y"
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  apply (subst order_eq_iff)
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  apply (auto simp: norm_le)
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  done
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lemma norm_eq_1: "norm x = 1 \<longleftrightarrow> x \<bullet> x = 1"
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  by (simp add: norm_eq_sqrt_inner)
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text{* Squaring equations and inequalities involving norms.  *}
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lemma dot_square_norm: "x \<bullet> x = (norm x)\<^sup>2"
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  by (simp only: power2_norm_eq_inner) (* TODO: move? *)
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lemma norm_eq_square: "norm x = a \<longleftrightarrow> 0 \<le> a \<and> x \<bullet> x = a\<^sup>2"
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  by (auto simp add: norm_eq_sqrt_inner)
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lemma real_abs_le_square_iff: "\<bar>x\<bar> \<le> \<bar>y\<bar> \<longleftrightarrow> (x::real)\<^sup>2 \<le> y\<^sup>2"
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proof
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  assume "\<bar>x\<bar> \<le> \<bar>y\<bar>"
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  then have "\<bar>x\<bar>\<^sup>2 \<le> \<bar>y\<bar>\<^sup>2" by (rule power_mono, simp)
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  then show "x\<^sup>2 \<le> y\<^sup>2" by simp
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next
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  assume "x\<^sup>2 \<le> y\<^sup>2"
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  then have "sqrt (x\<^sup>2) \<le> sqrt (y\<^sup>2)" by (rule real_sqrt_le_mono)
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  then show "\<bar>x\<bar> \<le> \<bar>y\<bar>" by simp
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qed
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lemma norm_le_square: "norm x \<le> a \<longleftrightarrow> 0 \<le> a \<and> x \<bullet> x \<le> a\<^sup>2"
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  apply (simp add: dot_square_norm real_abs_le_square_iff[symmetric])
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  using norm_ge_zero[of x]
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  apply arith
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  done
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lemma norm_ge_square: "norm x \<ge> a \<longleftrightarrow> a \<le> 0 \<or> x \<bullet> x \<ge> a\<^sup>2"
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  apply (simp add: dot_square_norm real_abs_le_square_iff[symmetric])
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  using norm_ge_zero[of x]
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  apply arith
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  done
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lemma norm_lt_square: "norm(x) < a \<longleftrightarrow> 0 < a \<and> x \<bullet> x < a\<^sup>2"
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  by (metis not_le norm_ge_square)
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lemma norm_gt_square: "norm(x) > a \<longleftrightarrow> a < 0 \<or> x \<bullet> x > a\<^sup>2"
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  by (metis norm_le_square not_less)
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text{* Dot product in terms of the norm rather than conversely. *}
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lemmas inner_simps = inner_add_left inner_add_right inner_diff_right inner_diff_left
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  inner_scaleR_left inner_scaleR_right
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lemma dot_norm: "x \<bullet> y = ((norm (x + y))\<^sup>2 - (norm x)\<^sup>2 - (norm y)\<^sup>2) / 2"
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  unfolding power2_norm_eq_inner inner_simps inner_commute by auto
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lemma dot_norm_neg: "x \<bullet> y = (((norm x)\<^sup>2 + (norm y)\<^sup>2) - (norm (x - y))\<^sup>2) / 2"
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  unfolding power2_norm_eq_inner inner_simps inner_commute
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  by (auto simp add: algebra_simps)
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text{* Equality of vectors in terms of @{term "op \<bullet>"} products.    *}
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lemma vector_eq: "x = y \<longleftrightarrow> x \<bullet> x = x \<bullet> y \<and> y \<bullet> y = x \<bullet> x"
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  (is "?lhs \<longleftrightarrow> ?rhs")
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proof
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  assume ?lhs
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  then show ?rhs by simp
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next
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  assume ?rhs
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  then have "x \<bullet> x - x \<bullet> y = 0 \<and> x \<bullet> y - y \<bullet> y = 0"
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    by simp
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  then have "x \<bullet> (x - y) = 0 \<and> y \<bullet> (x - y) = 0"
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    by (simp add: inner_diff inner_commute)
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  then have "(x - y) \<bullet> (x - y) = 0"
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    by (simp add: field_simps inner_diff inner_commute)
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  then show "x = y" by simp
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qed
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lemma norm_triangle_half_r:
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  "norm (y - x1) < e / 2 \<Longrightarrow> norm (y - x2) < e / 2 \<Longrightarrow> norm (x1 - x2) < e"
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  using dist_triangle_half_r unfolding dist_norm[symmetric] by auto
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lemma norm_triangle_half_l:
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  assumes "norm (x - y) < e / 2"
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    and "norm (x' - (y)) < e / 2"
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  shows "norm (x - x') < e"
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  using dist_triangle_half_l[OF assms[unfolded dist_norm[symmetric]]]
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  unfolding dist_norm[symmetric] .
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lemma norm_triangle_le: "norm x + norm y \<le> e \<Longrightarrow> norm (x + y) \<le> e"
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  by (rule norm_triangle_ineq [THEN order_trans])
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lemma norm_triangle_lt: "norm x + norm y < e \<Longrightarrow> norm (x + y) < e"
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  by (rule norm_triangle_ineq [THEN le_less_trans])
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lemma setsum_clauses:
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  shows "setsum f {} = 0"
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    and "finite S \<Longrightarrow> setsum f (insert x S) = (if x \<in> S then setsum f S else f x + setsum f S)"
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  by (auto simp add: insert_absorb)
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lemma setsum_norm_le:
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  fixes f :: "'a \<Rightarrow> 'b::real_normed_vector"
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  assumes fg: "\<forall>x \<in> S. norm (f x) \<le> g x"
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  shows "norm (setsum f S) \<le> setsum g S"
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  by (rule order_trans [OF norm_setsum setsum_mono]) (simp add: fg)
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lemma setsum_norm_bound:
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  fixes f :: "'a \<Rightarrow> 'b::real_normed_vector"
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  assumes fS: "finite S"
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    and K: "\<forall>x \<in> S. norm (f x) \<le> K"
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  shows "norm (setsum f S) \<le> of_nat (card S) * K"
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  using setsum_norm_le[OF K] setsum_constant[symmetric]
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  by simp
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lemma setsum_group:
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  assumes fS: "finite S" and fT: "finite T" and fST: "f ` S \<subseteq> T"
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  shows "setsum (\<lambda>y. setsum g {x. x\<in> S \<and> f x = y}) T = setsum g S"
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  apply (subst setsum_image_gen[OF fS, of g f])
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  apply (rule setsum_mono_zero_right[OF fT fST])
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  apply (auto intro: setsum_0')
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  done
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lemma vector_eq_ldot: "(\<forall>x. x \<bullet> y = x \<bullet> z) \<longleftrightarrow> y = z"
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proof
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  assume "\<forall>x. x \<bullet> y = x \<bullet> z"
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  then have "\<forall>x. x \<bullet> (y - z) = 0"
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    by (simp add: inner_diff)
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  then have "(y - z) \<bullet> (y - z) = 0" ..
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  then show "y = z" by simp
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qed simp
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lemma vector_eq_rdot: "(\<forall>z. x \<bullet> z = y \<bullet> z) \<longleftrightarrow> x = y"
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proof
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  assume "\<forall>z. x \<bullet> z = y \<bullet> z"
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  then have "\<forall>z. (x - y) \<bullet> z = 0"
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    by (simp add: inner_diff)
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  then have "(x - y) \<bullet> (x - y) = 0" ..
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  then show "x = y" by simp
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qed simp
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subsection {* Orthogonality. *}
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context real_inner
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begin
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definition "orthogonal x y \<longleftrightarrow> (x \<bullet> y = 0)"
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lemma orthogonal_clauses:
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  "orthogonal a 0"
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  "orthogonal a x \<Longrightarrow> orthogonal a (c *\<^sub>R x)"
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  "orthogonal a x \<Longrightarrow> orthogonal a (-x)"
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  "orthogonal a x \<Longrightarrow> orthogonal a y \<Longrightarrow> orthogonal a (x + y)"
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  "orthogonal a x \<Longrightarrow> orthogonal a y \<Longrightarrow> orthogonal a (x - y)"
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  "orthogonal 0 a"
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  "orthogonal x a \<Longrightarrow> orthogonal (c *\<^sub>R x) a"
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  "orthogonal x a \<Longrightarrow> orthogonal (-x) a"
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  "orthogonal x a \<Longrightarrow> orthogonal y a \<Longrightarrow> orthogonal (x + y) a"
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  "orthogonal x a \<Longrightarrow> orthogonal y a \<Longrightarrow> orthogonal (x - y) a"
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  unfolding orthogonal_def inner_add inner_diff by auto
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end
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lemma orthogonal_commute: "orthogonal x y \<longleftrightarrow> orthogonal y x"
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  by (simp add: orthogonal_def inner_commute)
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subsection {* Linear functions. *}
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definition linear :: "('a::real_vector \<Rightarrow> 'b::real_vector) \<Rightarrow> bool"
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  where "linear f \<longleftrightarrow> (\<forall>x y. f(x + y) = f x + f y) \<and> (\<forall>c x. f(c *\<^sub>R x) = c *\<^sub>R f x)"
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lemma linearI:
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  assumes "\<And>x y. f (x + y) = f x + f y"
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    and "\<And>c x. f (c *\<^sub>R x) = c *\<^sub>R f x"
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  shows "linear f"
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  using assms unfolding linear_def by auto
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lemma linear_compose_cmul: "linear f \<Longrightarrow> linear (\<lambda>x. c *\<^sub>R f x)"
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  by (simp add: linear_def algebra_simps)
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lemma linear_compose_neg: "linear f \<Longrightarrow> linear (\<lambda>x. - f x)"
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  by (simp add: linear_def)
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lemma linear_compose_add: "linear f \<Longrightarrow> linear g \<Longrightarrow> linear (\<lambda>x. f x + g x)"
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  by (simp add: linear_def algebra_simps)
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lemma linear_compose_sub: "linear f \<Longrightarrow> linear g \<Longrightarrow> linear (\<lambda>x. f x - g x)"
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  by (simp add: linear_def algebra_simps)
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lemma linear_compose: "linear f \<Longrightarrow> linear g \<Longrightarrow> linear (g \<circ> f)"
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  by (simp add: linear_def)
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lemma linear_id: "linear id"
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  by (simp add: linear_def id_def)
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lemma linear_zero: "linear (\<lambda>x. 0)"
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  by (simp add: linear_def)
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lemma linear_compose_setsum:
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  assumes fS: "finite S"
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    and lS: "\<forall>a \<in> S. linear (f a)"
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  shows "linear(\<lambda>x. setsum (\<lambda>a. f a x) S)"
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  using lS
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  apply (induct rule: finite_induct[OF fS])
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  apply (auto simp add: linear_zero intro: linear_compose_add)
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  done
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lemma linear_0: "linear f \<Longrightarrow> f 0 = 0"
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  unfolding linear_def
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  apply clarsimp
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  apply (erule allE[where x="0::'a"])
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  apply simp
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  done
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lemma linear_cmul: "linear f \<Longrightarrow> f (c *\<^sub>R x) = c *\<^sub>R f x"
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  by (simp add: linear_def)
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lemma linear_neg: "linear f \<Longrightarrow> f (- x) = - f x"
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  using linear_cmul [where c="-1"] by simp
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lemma linear_add: "linear f \<Longrightarrow> f(x + y) = f x + f y"
wenzelm@49522
   304
  by (metis linear_def)
huffman@44133
   305
wenzelm@53406
   306
lemma linear_sub: "linear f \<Longrightarrow> f(x - y) = f x - f y"
huffman@44133
   307
  by (simp add: diff_minus linear_add linear_neg)
huffman@44133
   308
huffman@44133
   309
lemma linear_setsum:
wenzelm@53406
   310
  assumes lin: "linear f"
wenzelm@53406
   311
    and fin: "finite S"
wenzelm@53406
   312
  shows "f (setsum g S) = setsum (f \<circ> g) S"
wenzelm@53406
   313
  using fin
wenzelm@53406
   314
proof induct
wenzelm@49522
   315
  case empty
wenzelm@53406
   316
  then show ?case
wenzelm@53406
   317
    by (simp add: linear_0[OF lin])
huffman@44133
   318
next
wenzelm@49522
   319
  case (insert x F)
wenzelm@53406
   320
  have "f (setsum g (insert x F)) = f (g x + setsum g F)"
wenzelm@53406
   321
    using insert.hyps by simp
wenzelm@53406
   322
  also have "\<dots> = f (g x) + f (setsum g F)"
wenzelm@53406
   323
    using linear_add[OF lin] by simp
wenzelm@53406
   324
  also have "\<dots> = setsum (f \<circ> g) (insert x F)"
wenzelm@53406
   325
    using insert.hyps by simp
huffman@44133
   326
  finally show ?case .
huffman@44133
   327
qed
huffman@44133
   328
huffman@44133
   329
lemma linear_setsum_mul:
wenzelm@53406
   330
  assumes lin: "linear f"
wenzelm@53406
   331
    and fin: "finite S"
huffman@44133
   332
  shows "f (setsum (\<lambda>i. c i *\<^sub>R v i) S) = setsum (\<lambda>i. c i *\<^sub>R f (v i)) S"
wenzelm@53406
   333
  using linear_setsum[OF lin fin, of "\<lambda>i. c i *\<^sub>R v i" , unfolded o_def] linear_cmul[OF lin]
wenzelm@49522
   334
  by simp
huffman@44133
   335
huffman@44133
   336
lemma linear_injective_0:
wenzelm@53406
   337
  assumes lin: "linear f"
huffman@44133
   338
  shows "inj f \<longleftrightarrow> (\<forall>x. f x = 0 \<longrightarrow> x = 0)"
wenzelm@49663
   339
proof -
wenzelm@53406
   340
  have "inj f \<longleftrightarrow> (\<forall> x y. f x = f y \<longrightarrow> x = y)"
wenzelm@53406
   341
    by (simp add: inj_on_def)
wenzelm@53406
   342
  also have "\<dots> \<longleftrightarrow> (\<forall> x y. f x - f y = 0 \<longrightarrow> x - y = 0)"
wenzelm@53406
   343
    by simp
huffman@44133
   344
  also have "\<dots> \<longleftrightarrow> (\<forall> x y. f (x - y) = 0 \<longrightarrow> x - y = 0)"
wenzelm@53406
   345
    by (simp add: linear_sub[OF lin])
wenzelm@53406
   346
  also have "\<dots> \<longleftrightarrow> (\<forall> x. f x = 0 \<longrightarrow> x = 0)"
wenzelm@53406
   347
    by auto
huffman@44133
   348
  finally show ?thesis .
huffman@44133
   349
qed
huffman@44133
   350
wenzelm@49522
   351
wenzelm@49522
   352
subsection {* Bilinear functions. *}
huffman@44133
   353
wenzelm@53406
   354
definition "bilinear f \<longleftrightarrow> (\<forall>x. linear (\<lambda>y. f x y)) \<and> (\<forall>y. linear (\<lambda>x. f x y))"
wenzelm@53406
   355
wenzelm@53406
   356
lemma bilinear_ladd: "bilinear h \<Longrightarrow> h (x + y) z = h x z + h y z"
huffman@44133
   357
  by (simp add: bilinear_def linear_def)
wenzelm@49663
   358
wenzelm@53406
   359
lemma bilinear_radd: "bilinear h \<Longrightarrow> h x (y + z) = h x y + h x z"
huffman@44133
   360
  by (simp add: bilinear_def linear_def)
huffman@44133
   361
wenzelm@53406
   362
lemma bilinear_lmul: "bilinear h \<Longrightarrow> h (c *\<^sub>R x) y = c *\<^sub>R h x y"
huffman@44133
   363
  by (simp add: bilinear_def linear_def)
huffman@44133
   364
wenzelm@53406
   365
lemma bilinear_rmul: "bilinear h \<Longrightarrow> h x (c *\<^sub>R y) = c *\<^sub>R h x y"
huffman@44133
   366
  by (simp add: bilinear_def linear_def)
huffman@44133
   367
wenzelm@53406
   368
lemma bilinear_lneg: "bilinear h \<Longrightarrow> h (- x) y = - h x y"
huffman@44133
   369
  by (simp only: scaleR_minus1_left [symmetric] bilinear_lmul)
huffman@44133
   370
wenzelm@53406
   371
lemma bilinear_rneg: "bilinear h \<Longrightarrow> h x (- y) = - h x y"
huffman@44133
   372
  by (simp only: scaleR_minus1_left [symmetric] bilinear_rmul)
huffman@44133
   373
wenzelm@53406
   374
lemma (in ab_group_add) eq_add_iff: "x = x + y \<longleftrightarrow> y = 0"
huffman@44133
   375
  using add_imp_eq[of x y 0] by auto
huffman@44133
   376
wenzelm@53406
   377
lemma bilinear_lzero:
wenzelm@53406
   378
  assumes "bilinear h"
wenzelm@53406
   379
  shows "h 0 x = 0"
wenzelm@49663
   380
  using bilinear_ladd [OF assms, of 0 0 x] by (simp add: eq_add_iff field_simps)
wenzelm@49663
   381
wenzelm@53406
   382
lemma bilinear_rzero:
wenzelm@53406
   383
  assumes "bilinear h"
wenzelm@53406
   384
  shows "h x 0 = 0"
wenzelm@49663
   385
  using bilinear_radd [OF assms, of x 0 0 ] by (simp add: eq_add_iff field_simps)
huffman@44133
   386
wenzelm@53406
   387
lemma bilinear_lsub: "bilinear h \<Longrightarrow> h (x - y) z = h x z - h y z"
huffman@44133
   388
  by (simp  add: diff_minus bilinear_ladd bilinear_lneg)
huffman@44133
   389
wenzelm@53406
   390
lemma bilinear_rsub: "bilinear h \<Longrightarrow> h z (x - y) = h z x - h z y"
huffman@44133
   391
  by (simp  add: diff_minus bilinear_radd bilinear_rneg)
huffman@44133
   392
huffman@44133
   393
lemma bilinear_setsum:
wenzelm@49663
   394
  assumes bh: "bilinear h"
wenzelm@49663
   395
    and fS: "finite S"
wenzelm@49663
   396
    and fT: "finite T"
huffman@44133
   397
  shows "h (setsum f S) (setsum g T) = setsum (\<lambda>(i,j). h (f i) (g j)) (S \<times> T) "
wenzelm@49522
   398
proof -
huffman@44133
   399
  have "h (setsum f S) (setsum g T) = setsum (\<lambda>x. h (f x) (setsum g T)) S"
huffman@44133
   400
    apply (rule linear_setsum[unfolded o_def])
wenzelm@53406
   401
    using bh fS
wenzelm@53406
   402
    apply (auto simp add: bilinear_def)
wenzelm@49522
   403
    done
huffman@44133
   404
  also have "\<dots> = setsum (\<lambda>x. setsum (\<lambda>y. h (f x) (g y)) T) S"
huffman@44133
   405
    apply (rule setsum_cong, simp)
huffman@44133
   406
    apply (rule linear_setsum[unfolded o_def])
wenzelm@49522
   407
    using bh fT
wenzelm@49522
   408
    apply (auto simp add: bilinear_def)
wenzelm@49522
   409
    done
wenzelm@53406
   410
  finally show ?thesis
wenzelm@53406
   411
    unfolding setsum_cartesian_product .
huffman@44133
   412
qed
huffman@44133
   413
wenzelm@49522
   414
wenzelm@49522
   415
subsection {* Adjoints. *}
huffman@44133
   416
huffman@44133
   417
definition "adjoint f = (SOME f'. \<forall>x y. f x \<bullet> y = x \<bullet> f' y)"
huffman@44133
   418
huffman@44133
   419
lemma adjoint_unique:
huffman@44133
   420
  assumes "\<forall>x y. inner (f x) y = inner x (g y)"
huffman@44133
   421
  shows "adjoint f = g"
wenzelm@49522
   422
  unfolding adjoint_def
huffman@44133
   423
proof (rule some_equality)
wenzelm@53406
   424
  show "\<forall>x y. inner (f x) y = inner x (g y)"
wenzelm@53406
   425
    by (rule assms)
huffman@44133
   426
next
wenzelm@53406
   427
  fix h
wenzelm@53406
   428
  assume "\<forall>x y. inner (f x) y = inner x (h y)"
wenzelm@53406
   429
  then have "\<forall>x y. inner x (g y) = inner x (h y)"
wenzelm@53406
   430
    using assms by simp
wenzelm@53406
   431
  then have "\<forall>x y. inner x (g y - h y) = 0"
wenzelm@53406
   432
    by (simp add: inner_diff_right)
wenzelm@53406
   433
  then have "\<forall>y. inner (g y - h y) (g y - h y) = 0"
wenzelm@53406
   434
    by simp
wenzelm@53406
   435
  then have "\<forall>y. h y = g y"
wenzelm@53406
   436
    by simp
wenzelm@49652
   437
  then show "h = g" by (simp add: ext)
huffman@44133
   438
qed
huffman@44133
   439
hoelzl@50526
   440
text {* TODO: The following lemmas about adjoints should hold for any
hoelzl@50526
   441
Hilbert space (i.e. complete inner product space).
hoelzl@50526
   442
(see \url{http://en.wikipedia.org/wiki/Hermitian_adjoint})
hoelzl@50526
   443
*}
hoelzl@50526
   444
hoelzl@50526
   445
lemma adjoint_works:
hoelzl@50526
   446
  fixes f:: "'n::euclidean_space \<Rightarrow> 'm::euclidean_space"
hoelzl@50526
   447
  assumes lf: "linear f"
hoelzl@50526
   448
  shows "x \<bullet> adjoint f y = f x \<bullet> y"
hoelzl@50526
   449
proof -
hoelzl@50526
   450
  have "\<forall>y. \<exists>w. \<forall>x. f x \<bullet> y = x \<bullet> w"
hoelzl@50526
   451
  proof (intro allI exI)
hoelzl@50526
   452
    fix y :: "'m" and x
hoelzl@50526
   453
    let ?w = "(\<Sum>i\<in>Basis. (f i \<bullet> y) *\<^sub>R i) :: 'n"
hoelzl@50526
   454
    have "f x \<bullet> y = f (\<Sum>i\<in>Basis. (x \<bullet> i) *\<^sub>R i) \<bullet> y"
hoelzl@50526
   455
      by (simp add: euclidean_representation)
hoelzl@50526
   456
    also have "\<dots> = (\<Sum>i\<in>Basis. (x \<bullet> i) *\<^sub>R f i) \<bullet> y"
hoelzl@50526
   457
      unfolding linear_setsum[OF lf finite_Basis]
hoelzl@50526
   458
      by (simp add: linear_cmul[OF lf])
hoelzl@50526
   459
    finally show "f x \<bullet> y = x \<bullet> ?w"
wenzelm@53406
   460
      by (simp add: inner_setsum_left inner_setsum_right mult_commute)
hoelzl@50526
   461
  qed
hoelzl@50526
   462
  then show ?thesis
hoelzl@50526
   463
    unfolding adjoint_def choice_iff
hoelzl@50526
   464
    by (intro someI2_ex[where Q="\<lambda>f'. x \<bullet> f' y = f x \<bullet> y"]) auto
hoelzl@50526
   465
qed
hoelzl@50526
   466
hoelzl@50526
   467
lemma adjoint_clauses:
hoelzl@50526
   468
  fixes f:: "'n::euclidean_space \<Rightarrow> 'm::euclidean_space"
hoelzl@50526
   469
  assumes lf: "linear f"
hoelzl@50526
   470
  shows "x \<bullet> adjoint f y = f x \<bullet> y"
hoelzl@50526
   471
    and "adjoint f y \<bullet> x = y \<bullet> f x"
hoelzl@50526
   472
  by (simp_all add: adjoint_works[OF lf] inner_commute)
hoelzl@50526
   473
hoelzl@50526
   474
lemma adjoint_linear:
hoelzl@50526
   475
  fixes f:: "'n::euclidean_space \<Rightarrow> 'm::euclidean_space"
hoelzl@50526
   476
  assumes lf: "linear f"
hoelzl@50526
   477
  shows "linear (adjoint f)"
hoelzl@50526
   478
  by (simp add: lf linear_def euclidean_eq_iff[where 'a='n] euclidean_eq_iff[where 'a='m]
hoelzl@50526
   479
    adjoint_clauses[OF lf] inner_simps)
hoelzl@50526
   480
hoelzl@50526
   481
lemma adjoint_adjoint:
hoelzl@50526
   482
  fixes f:: "'n::euclidean_space \<Rightarrow> 'm::euclidean_space"
hoelzl@50526
   483
  assumes lf: "linear f"
hoelzl@50526
   484
  shows "adjoint (adjoint f) = f"
hoelzl@50526
   485
  by (rule adjoint_unique, simp add: adjoint_clauses [OF lf])
hoelzl@50526
   486
wenzelm@53406
   487
wenzelm@49522
   488
subsection {* Interlude: Some properties of real sets *}
huffman@44133
   489
wenzelm@53406
   490
lemma seq_mono_lemma:
wenzelm@53406
   491
  assumes "\<forall>(n::nat) \<ge> m. (d n :: real) < e n"
wenzelm@53406
   492
    and "\<forall>n \<ge> m. e n \<le> e m"
huffman@44133
   493
  shows "\<forall>n \<ge> m. d n < e m"
wenzelm@53406
   494
  using assms
wenzelm@53406
   495
  apply auto
huffman@44133
   496
  apply (erule_tac x="n" in allE)
huffman@44133
   497
  apply (erule_tac x="n" in allE)
huffman@44133
   498
  apply auto
huffman@44133
   499
  done
huffman@44133
   500
wenzelm@53406
   501
lemma infinite_enumerate:
wenzelm@53406
   502
  assumes fS: "infinite S"
huffman@44133
   503
  shows "\<exists>r. subseq r \<and> (\<forall>n. r n \<in> S)"
wenzelm@49525
   504
  unfolding subseq_def
wenzelm@49525
   505
  using enumerate_in_set[OF fS] enumerate_mono[of _ _ S] fS by auto
huffman@44133
   506
huffman@44133
   507
lemma approachable_lt_le: "(\<exists>(d::real)>0. \<forall>x. f x < d \<longrightarrow> P x) \<longleftrightarrow> (\<exists>d>0. \<forall>x. f x \<le> d \<longrightarrow> P x)"
wenzelm@49522
   508
  apply auto
wenzelm@49522
   509
  apply (rule_tac x="d/2" in exI)
wenzelm@49522
   510
  apply auto
wenzelm@49522
   511
  done
huffman@44133
   512
huffman@44133
   513
lemma triangle_lemma:
wenzelm@53406
   514
  fixes x y z :: real
wenzelm@53406
   515
  assumes x: "0 \<le> x"
wenzelm@53406
   516
    and y: "0 \<le> y"
wenzelm@53406
   517
    and z: "0 \<le> z"
wenzelm@53406
   518
    and xy: "x\<^sup>2 \<le> y\<^sup>2 + z\<^sup>2"
wenzelm@53406
   519
  shows "x \<le> y + z"
wenzelm@49522
   520
proof -
wenzelm@53406
   521
  have "y\<^sup>2 + z\<^sup>2 \<le> y\<^sup>2 + 2 *y * z + z\<^sup>2"
wenzelm@53406
   522
    using z y by (simp add: mult_nonneg_nonneg)
wenzelm@53406
   523
  with xy have th: "x\<^sup>2 \<le> (y + z)\<^sup>2"
wenzelm@53406
   524
    by (simp add: power2_eq_square field_simps)
wenzelm@53406
   525
  from y z have yz: "y + z \<ge> 0"
wenzelm@53406
   526
    by arith
huffman@44133
   527
  from power2_le_imp_le[OF th yz] show ?thesis .
huffman@44133
   528
qed
huffman@44133
   529
wenzelm@49522
   530
huffman@44133
   531
subsection {* A generic notion of "hull" (convex, affine, conic hull and closure). *}
huffman@44133
   532
wenzelm@53406
   533
definition hull :: "('a set \<Rightarrow> bool) \<Rightarrow> 'a set \<Rightarrow> 'a set"  (infixl "hull" 75)
wenzelm@53406
   534
  where "S hull s = \<Inter>{t. S t \<and> s \<subseteq> t}"
huffman@44170
   535
huffman@44170
   536
lemma hull_same: "S s \<Longrightarrow> S hull s = s"
huffman@44133
   537
  unfolding hull_def by auto
huffman@44133
   538
wenzelm@53406
   539
lemma hull_in: "(\<And>T. Ball T S \<Longrightarrow> S (\<Inter>T)) \<Longrightarrow> S (S hull s)"
wenzelm@49522
   540
  unfolding hull_def Ball_def by auto
huffman@44170
   541
wenzelm@53406
   542
lemma hull_eq: "(\<And>T. Ball T S \<Longrightarrow> S (\<Inter>T)) \<Longrightarrow> (S hull s) = s \<longleftrightarrow> S s"
wenzelm@49522
   543
  using hull_same[of S s] hull_in[of S s] by metis
huffman@44133
   544
huffman@44133
   545
lemma hull_hull: "S hull (S hull s) = S hull s"
huffman@44133
   546
  unfolding hull_def by blast
huffman@44133
   547
huffman@44133
   548
lemma hull_subset[intro]: "s \<subseteq> (S hull s)"
huffman@44133
   549
  unfolding hull_def by blast
huffman@44133
   550
wenzelm@53406
   551
lemma hull_mono: "s \<subseteq> t \<Longrightarrow> (S hull s) \<subseteq> (S hull t)"
huffman@44133
   552
  unfolding hull_def by blast
huffman@44133
   553
wenzelm@53406
   554
lemma hull_antimono: "\<forall>x. S x \<longrightarrow> T x \<Longrightarrow> (T hull s) \<subseteq> (S hull s)"
huffman@44133
   555
  unfolding hull_def by blast
huffman@44133
   556
wenzelm@53406
   557
lemma hull_minimal: "s \<subseteq> t \<Longrightarrow> S t \<Longrightarrow> (S hull s) \<subseteq> t"
huffman@44133
   558
  unfolding hull_def by blast
huffman@44133
   559
wenzelm@53406
   560
lemma subset_hull: "S t \<Longrightarrow> S hull s \<subseteq> t \<longleftrightarrow> s \<subseteq> t"
huffman@44133
   561
  unfolding hull_def by blast
huffman@44133
   562
wenzelm@53406
   563
lemma hull_unique: "s \<subseteq> t \<Longrightarrow> S t \<Longrightarrow> (\<And>t'. s \<subseteq> t' \<Longrightarrow> S t' \<Longrightarrow> t \<subseteq> t') \<Longrightarrow> (S hull s = t)"
wenzelm@49652
   564
  unfolding hull_def by auto
huffman@44133
   565
huffman@44133
   566
lemma hull_induct: "(\<And>x. x\<in> S \<Longrightarrow> P x) \<Longrightarrow> Q {x. P x} \<Longrightarrow> \<forall>x\<in> Q hull S. P x"
huffman@44133
   567
  using hull_minimal[of S "{x. P x}" Q]
huffman@44170
   568
  by (auto simp add: subset_eq)
huffman@44133
   569
wenzelm@49522
   570
lemma hull_inc: "x \<in> S \<Longrightarrow> x \<in> P hull S"
wenzelm@49522
   571
  by (metis hull_subset subset_eq)
huffman@44133
   572
huffman@44133
   573
lemma hull_union_subset: "(S hull s) \<union> (S hull t) \<subseteq> (S hull (s \<union> t))"
wenzelm@49522
   574
  unfolding Un_subset_iff by (metis hull_mono Un_upper1 Un_upper2)
wenzelm@49522
   575
wenzelm@49522
   576
lemma hull_union:
wenzelm@53406
   577
  assumes T: "\<And>T. Ball T S \<Longrightarrow> S (\<Inter>T)"
huffman@44133
   578
  shows "S hull (s \<union> t) = S hull (S hull s \<union> S hull t)"
wenzelm@49522
   579
  apply rule
wenzelm@49522
   580
  apply (rule hull_mono)
wenzelm@49522
   581
  unfolding Un_subset_iff
wenzelm@49522
   582
  apply (metis hull_subset Un_upper1 Un_upper2 subset_trans)
wenzelm@49522
   583
  apply (rule hull_minimal)
wenzelm@49522
   584
  apply (metis hull_union_subset)
wenzelm@49522
   585
  apply (metis hull_in T)
wenzelm@49522
   586
  done
huffman@44133
   587
huffman@44133
   588
lemma hull_redundant_eq: "a \<in> (S hull s) \<longleftrightarrow> (S hull (insert a s) = S hull s)"
huffman@44133
   589
  unfolding hull_def by blast
huffman@44133
   590
wenzelm@53406
   591
lemma hull_redundant: "a \<in> (S hull s) \<Longrightarrow> (S hull (insert a s) = S hull s)"
wenzelm@49522
   592
  by (metis hull_redundant_eq)
wenzelm@49522
   593
huffman@44133
   594
huffman@44666
   595
subsection {* Archimedean properties and useful consequences *}
huffman@44133
   596
wenzelm@53406
   597
lemma real_arch_simple: "\<exists>n. x \<le> real (n::nat)"
huffman@44666
   598
  unfolding real_of_nat_def by (rule ex_le_of_nat)
huffman@44133
   599
huffman@44133
   600
lemma real_arch_inv: "0 < e \<longleftrightarrow> (\<exists>n::nat. n \<noteq> 0 \<and> 0 < inverse (real n) \<and> inverse (real n) < e)"
huffman@44133
   601
  using reals_Archimedean
huffman@44133
   602
  apply (auto simp add: field_simps)
huffman@44133
   603
  apply (subgoal_tac "inverse (real n) > 0")
huffman@44133
   604
  apply arith
huffman@44133
   605
  apply simp
huffman@44133
   606
  done
huffman@44133
   607
wenzelm@53406
   608
lemma real_pow_lbound: "0 \<le> x \<Longrightarrow> 1 + real n * x \<le> (1 + x) ^ n"
wenzelm@49522
   609
proof (induct n)
wenzelm@49522
   610
  case 0
wenzelm@49522
   611
  then show ?case by simp
huffman@44133
   612
next
huffman@44133
   613
  case (Suc n)
wenzelm@53406
   614
  then have h: "1 + real n * x \<le> (1 + x) ^ n"
wenzelm@53406
   615
    by simp
wenzelm@53406
   616
  from h have p: "1 \<le> (1 + x) ^ n"
wenzelm@53406
   617
    using Suc.prems by simp
wenzelm@53406
   618
  from h have "1 + real n * x + x \<le> (1 + x) ^ n + x"
wenzelm@53406
   619
    by simp
wenzelm@53406
   620
  also have "\<dots> \<le> (1 + x) ^ Suc n"
wenzelm@53406
   621
    apply (subst diff_le_0_iff_le[symmetric])
huffman@44133
   622
    apply (simp add: field_simps)
wenzelm@53406
   623
    using mult_left_mono[OF p Suc.prems]
wenzelm@53406
   624
    apply simp
wenzelm@49522
   625
    done
wenzelm@53406
   626
  finally show ?case
wenzelm@53406
   627
    by (simp add: real_of_nat_Suc field_simps)
huffman@44133
   628
qed
huffman@44133
   629
wenzelm@53406
   630
lemma real_arch_pow:
wenzelm@53406
   631
  fixes x :: real
wenzelm@53406
   632
  assumes x: "1 < x"
wenzelm@53406
   633
  shows "\<exists>n. y < x^n"
wenzelm@49522
   634
proof -
wenzelm@53406
   635
  from x have x0: "x - 1 > 0"
wenzelm@53406
   636
    by arith
huffman@44666
   637
  from reals_Archimedean3[OF x0, rule_format, of y]
wenzelm@53406
   638
  obtain n :: nat where n: "y < real n * (x - 1)" by metis
huffman@44133
   639
  from x0 have x00: "x- 1 \<ge> 0" by arith
huffman@44133
   640
  from real_pow_lbound[OF x00, of n] n
huffman@44133
   641
  have "y < x^n" by auto
huffman@44133
   642
  then show ?thesis by metis
huffman@44133
   643
qed
huffman@44133
   644
wenzelm@53406
   645
lemma real_arch_pow2:
wenzelm@53406
   646
  fixes x :: real
wenzelm@53406
   647
  shows "\<exists>n. x < 2^ n"
huffman@44133
   648
  using real_arch_pow[of 2 x] by simp
huffman@44133
   649
wenzelm@49522
   650
lemma real_arch_pow_inv:
wenzelm@53406
   651
  fixes x y :: real
wenzelm@53406
   652
  assumes y: "y > 0"
wenzelm@53406
   653
    and x1: "x < 1"
huffman@44133
   654
  shows "\<exists>n. x^n < y"
wenzelm@53406
   655
proof (cases "x > 0")
wenzelm@53406
   656
  case True
wenzelm@53406
   657
  with x1 have ix: "1 < 1/x" by (simp add: field_simps)
wenzelm@53406
   658
  from real_arch_pow[OF ix, of "1/y"]
wenzelm@53406
   659
  obtain n where n: "1/y < (1/x)^n" by blast
wenzelm@53406
   660
  then show ?thesis using y `x > 0`
wenzelm@53406
   661
    by (auto simp add: field_simps power_divide)
wenzelm@53406
   662
next
wenzelm@53406
   663
  case False
wenzelm@53406
   664
  with y x1 show ?thesis
wenzelm@53406
   665
    apply auto
wenzelm@53406
   666
    apply (rule exI[where x=1])
wenzelm@53406
   667
    apply auto
wenzelm@53406
   668
    done
huffman@44133
   669
qed
huffman@44133
   670
wenzelm@49522
   671
lemma forall_pos_mono:
wenzelm@53406
   672
  "(\<And>d e::real. d < e \<Longrightarrow> P d \<Longrightarrow> P e) \<Longrightarrow>
wenzelm@53406
   673
    (\<And>n::nat. n \<noteq> 0 \<Longrightarrow> P (inverse (real n))) \<Longrightarrow> (\<And>e. 0 < e \<Longrightarrow> P e)"
huffman@44133
   674
  by (metis real_arch_inv)
huffman@44133
   675
wenzelm@49522
   676
lemma forall_pos_mono_1:
wenzelm@53406
   677
  "(\<And>d e::real. d < e \<Longrightarrow> P d \<Longrightarrow> P e) \<Longrightarrow>
wenzelm@53406
   678
    (\<And>n. P(inverse(real (Suc n)))) \<Longrightarrow> 0 < e \<Longrightarrow> P e"
huffman@44133
   679
  apply (rule forall_pos_mono)
huffman@44133
   680
  apply auto
huffman@44133
   681
  apply (atomize)
huffman@44133
   682
  apply (erule_tac x="n - 1" in allE)
huffman@44133
   683
  apply auto
huffman@44133
   684
  done
huffman@44133
   685
wenzelm@49522
   686
lemma real_archimedian_rdiv_eq_0:
wenzelm@53406
   687
  assumes x0: "x \<ge> 0"
wenzelm@53406
   688
    and c: "c \<ge> 0"
wenzelm@53406
   689
    and xc: "\<forall>(m::nat)>0. real m * x \<le> c"
huffman@44133
   690
  shows "x = 0"
wenzelm@53406
   691
proof (rule ccontr)
wenzelm@53406
   692
  assume "x \<noteq> 0"
wenzelm@53406
   693
  with x0 have xp: "x > 0" by arith
wenzelm@53406
   694
  from reals_Archimedean3[OF xp, rule_format, of c]
wenzelm@53406
   695
  obtain n :: nat where n: "c < real n * x"
wenzelm@53406
   696
    by blast
wenzelm@53406
   697
  with xc[rule_format, of n] have "n = 0"
wenzelm@53406
   698
    by arith
wenzelm@53406
   699
  with n c show False
wenzelm@53406
   700
    by simp
huffman@44133
   701
qed
huffman@44133
   702
wenzelm@49522
   703
huffman@44133
   704
subsection{* A bit of linear algebra. *}
huffman@44133
   705
wenzelm@49522
   706
definition (in real_vector) subspace :: "'a set \<Rightarrow> bool"
wenzelm@49522
   707
  where "subspace S \<longleftrightarrow> 0 \<in> S \<and> (\<forall>x\<in> S. \<forall>y \<in>S. x + y \<in> S) \<and> (\<forall>c. \<forall>x \<in>S. c *\<^sub>R x \<in>S )"
huffman@44133
   708
huffman@44133
   709
definition (in real_vector) "span S = (subspace hull S)"
huffman@44133
   710
definition (in real_vector) "dependent S \<longleftrightarrow> (\<exists>a \<in> S. a \<in> span(S - {a}))"
wenzelm@53406
   711
abbreviation (in real_vector) "independent s \<equiv> \<not> dependent s"
huffman@44133
   712
huffman@44133
   713
text {* Closure properties of subspaces. *}
huffman@44133
   714
wenzelm@53406
   715
lemma subspace_UNIV[simp]: "subspace UNIV"
wenzelm@53406
   716
  by (simp add: subspace_def)
wenzelm@53406
   717
wenzelm@53406
   718
lemma (in real_vector) subspace_0: "subspace S \<Longrightarrow> 0 \<in> S"
wenzelm@53406
   719
  by (metis subspace_def)
wenzelm@53406
   720
wenzelm@53406
   721
lemma (in real_vector) subspace_add: "subspace S \<Longrightarrow> x \<in> S \<Longrightarrow> y \<in> S \<Longrightarrow> x + y \<in> S"
huffman@44133
   722
  by (metis subspace_def)
huffman@44133
   723
huffman@44133
   724
lemma (in real_vector) subspace_mul: "subspace S \<Longrightarrow> x \<in> S \<Longrightarrow> c *\<^sub>R x \<in> S"
huffman@44133
   725
  by (metis subspace_def)
huffman@44133
   726
huffman@44133
   727
lemma subspace_neg: "subspace S \<Longrightarrow> x \<in> S \<Longrightarrow> - x \<in> S"
huffman@44133
   728
  by (metis scaleR_minus1_left subspace_mul)
huffman@44133
   729
huffman@44133
   730
lemma subspace_sub: "subspace S \<Longrightarrow> x \<in> S \<Longrightarrow> y \<in> S \<Longrightarrow> x - y \<in> S"
huffman@44133
   731
  by (metis diff_minus subspace_add subspace_neg)
huffman@44133
   732
huffman@44133
   733
lemma (in real_vector) subspace_setsum:
wenzelm@53406
   734
  assumes sA: "subspace A"
wenzelm@53406
   735
    and fB: "finite B"
wenzelm@49522
   736
    and f: "\<forall>x\<in> B. f x \<in> A"
huffman@44133
   737
  shows "setsum f B \<in> A"
huffman@44133
   738
  using  fB f sA
wenzelm@49522
   739
  by (induct rule: finite_induct[OF fB])
wenzelm@49522
   740
    (simp add: subspace_def sA, auto simp add: sA subspace_add)
huffman@44133
   741
huffman@44133
   742
lemma subspace_linear_image:
wenzelm@53406
   743
  assumes lf: "linear f"
wenzelm@53406
   744
    and sS: "subspace S"
wenzelm@53406
   745
  shows "subspace (f ` S)"
huffman@44133
   746
  using lf sS linear_0[OF lf]
huffman@44133
   747
  unfolding linear_def subspace_def
huffman@44133
   748
  apply (auto simp add: image_iff)
wenzelm@53406
   749
  apply (rule_tac x="x + y" in bexI)
wenzelm@53406
   750
  apply auto
wenzelm@53406
   751
  apply (rule_tac x="c *\<^sub>R x" in bexI)
wenzelm@53406
   752
  apply auto
huffman@44133
   753
  done
huffman@44133
   754
huffman@44521
   755
lemma subspace_linear_vimage: "linear f \<Longrightarrow> subspace S \<Longrightarrow> subspace (f -` S)"
huffman@44521
   756
  by (auto simp add: subspace_def linear_def linear_0[of f])
huffman@44521
   757
wenzelm@53406
   758
lemma subspace_linear_preimage: "linear f \<Longrightarrow> subspace S \<Longrightarrow> subspace {x. f x \<in> S}"
huffman@44133
   759
  by (auto simp add: subspace_def linear_def linear_0[of f])
huffman@44133
   760
huffman@44133
   761
lemma subspace_trivial: "subspace {0}"
huffman@44133
   762
  by (simp add: subspace_def)
huffman@44133
   763
wenzelm@53406
   764
lemma (in real_vector) subspace_inter: "subspace A \<Longrightarrow> subspace B \<Longrightarrow> subspace (A \<inter> B)"
huffman@44133
   765
  by (simp add: subspace_def)
huffman@44133
   766
wenzelm@53406
   767
lemma subspace_Times: "subspace A \<Longrightarrow> subspace B \<Longrightarrow> subspace (A \<times> B)"
huffman@44521
   768
  unfolding subspace_def zero_prod_def by simp
huffman@44521
   769
huffman@44521
   770
text {* Properties of span. *}
huffman@44521
   771
wenzelm@53406
   772
lemma (in real_vector) span_mono: "A \<subseteq> B \<Longrightarrow> span A \<subseteq> span B"
huffman@44133
   773
  by (metis span_def hull_mono)
huffman@44133
   774
wenzelm@53406
   775
lemma (in real_vector) subspace_span: "subspace (span S)"
huffman@44133
   776
  unfolding span_def
huffman@44170
   777
  apply (rule hull_in)
huffman@44133
   778
  apply (simp only: subspace_def Inter_iff Int_iff subset_eq)
huffman@44133
   779
  apply auto
huffman@44133
   780
  done
huffman@44133
   781
huffman@44133
   782
lemma (in real_vector) span_clauses:
wenzelm@53406
   783
  "a \<in> S \<Longrightarrow> a \<in> span S"
huffman@44133
   784
  "0 \<in> span S"
wenzelm@53406
   785
  "x\<in> span S \<Longrightarrow> y \<in> span S \<Longrightarrow> x + y \<in> span S"
huffman@44133
   786
  "x \<in> span S \<Longrightarrow> c *\<^sub>R x \<in> span S"
wenzelm@53406
   787
  by (metis span_def hull_subset subset_eq) (metis subspace_span subspace_def)+
huffman@44133
   788
huffman@44521
   789
lemma span_unique:
wenzelm@49522
   790
  "S \<subseteq> T \<Longrightarrow> subspace T \<Longrightarrow> (\<And>T'. S \<subseteq> T' \<Longrightarrow> subspace T' \<Longrightarrow> T \<subseteq> T') \<Longrightarrow> span S = T"
huffman@44521
   791
  unfolding span_def by (rule hull_unique)
huffman@44521
   792
huffman@44521
   793
lemma span_minimal: "S \<subseteq> T \<Longrightarrow> subspace T \<Longrightarrow> span S \<subseteq> T"
huffman@44521
   794
  unfolding span_def by (rule hull_minimal)
huffman@44521
   795
huffman@44521
   796
lemma (in real_vector) span_induct:
wenzelm@49522
   797
  assumes x: "x \<in> span S"
wenzelm@49522
   798
    and P: "subspace P"
wenzelm@53406
   799
    and SP: "\<And>x. x \<in> S \<Longrightarrow> x \<in> P"
huffman@44521
   800
  shows "x \<in> P"
wenzelm@49522
   801
proof -
wenzelm@53406
   802
  from SP have SP': "S \<subseteq> P"
wenzelm@53406
   803
    by (simp add: subset_eq)
huffman@44170
   804
  from x hull_minimal[where S=subspace, OF SP' P, unfolded span_def[symmetric]]
wenzelm@53406
   805
  show "x \<in> P"
wenzelm@53406
   806
    by (metis subset_eq)
huffman@44133
   807
qed
huffman@44133
   808
huffman@44133
   809
lemma span_empty[simp]: "span {} = {0}"
huffman@44133
   810
  apply (simp add: span_def)
huffman@44133
   811
  apply (rule hull_unique)
huffman@44170
   812
  apply (auto simp add: subspace_def)
huffman@44133
   813
  done
huffman@44133
   814
huffman@44133
   815
lemma (in real_vector) independent_empty[intro]: "independent {}"
huffman@44133
   816
  by (simp add: dependent_def)
huffman@44133
   817
wenzelm@49522
   818
lemma dependent_single[simp]: "dependent {x} \<longleftrightarrow> x = 0"
huffman@44133
   819
  unfolding dependent_def by auto
huffman@44133
   820
wenzelm@53406
   821
lemma (in real_vector) independent_mono: "independent A \<Longrightarrow> B \<subseteq> A \<Longrightarrow> independent B"
huffman@44133
   822
  apply (clarsimp simp add: dependent_def span_mono)
huffman@44133
   823
  apply (subgoal_tac "span (B - {a}) \<le> span (A - {a})")
huffman@44133
   824
  apply force
huffman@44133
   825
  apply (rule span_mono)
huffman@44133
   826
  apply auto
huffman@44133
   827
  done
huffman@44133
   828
huffman@44133
   829
lemma (in real_vector) span_subspace: "A \<subseteq> B \<Longrightarrow> B \<le> span A \<Longrightarrow>  subspace B \<Longrightarrow> span A = B"
huffman@44170
   830
  by (metis order_antisym span_def hull_minimal)
huffman@44133
   831
wenzelm@49711
   832
lemma (in real_vector) span_induct':
wenzelm@49711
   833
  assumes SP: "\<forall>x \<in> S. P x"
wenzelm@49711
   834
    and P: "subspace {x. P x}"
wenzelm@49711
   835
  shows "\<forall>x \<in> span S. P x"
huffman@44133
   836
  using span_induct SP P by blast
huffman@44133
   837
huffman@44170
   838
inductive_set (in real_vector) span_induct_alt_help for S:: "'a set"
wenzelm@53406
   839
where
huffman@44170
   840
  span_induct_alt_help_0: "0 \<in> span_induct_alt_help S"
wenzelm@49522
   841
| span_induct_alt_help_S:
wenzelm@53406
   842
    "x \<in> S \<Longrightarrow> z \<in> span_induct_alt_help S \<Longrightarrow>
wenzelm@53406
   843
      (c *\<^sub>R x + z) \<in> span_induct_alt_help S"
huffman@44133
   844
huffman@44133
   845
lemma span_induct_alt':
wenzelm@53406
   846
  assumes h0: "h 0"
wenzelm@53406
   847
    and hS: "\<And>c x y. x \<in> S \<Longrightarrow> h y \<Longrightarrow> h (c *\<^sub>R x + y)"
wenzelm@49522
   848
  shows "\<forall>x \<in> span S. h x"
wenzelm@49522
   849
proof -
wenzelm@53406
   850
  {
wenzelm@53406
   851
    fix x :: 'a
wenzelm@53406
   852
    assume x: "x \<in> span_induct_alt_help S"
huffman@44133
   853
    have "h x"
huffman@44133
   854
      apply (rule span_induct_alt_help.induct[OF x])
huffman@44133
   855
      apply (rule h0)
wenzelm@53406
   856
      apply (rule hS)
wenzelm@53406
   857
      apply assumption
wenzelm@53406
   858
      apply assumption
wenzelm@53406
   859
      done
wenzelm@53406
   860
  }
huffman@44133
   861
  note th0 = this
wenzelm@53406
   862
  {
wenzelm@53406
   863
    fix x
wenzelm@53406
   864
    assume x: "x \<in> span S"
huffman@44170
   865
    have "x \<in> span_induct_alt_help S"
wenzelm@49522
   866
    proof (rule span_induct[where x=x and S=S])
wenzelm@53406
   867
      show "x \<in> span S" by (rule x)
wenzelm@49522
   868
    next
wenzelm@53406
   869
      fix x
wenzelm@53406
   870
      assume xS: "x \<in> S"
wenzelm@53406
   871
      from span_induct_alt_help_S[OF xS span_induct_alt_help_0, of 1]
wenzelm@53406
   872
      show "x \<in> span_induct_alt_help S"
wenzelm@53406
   873
        by simp
wenzelm@49522
   874
    next
wenzelm@49522
   875
      have "0 \<in> span_induct_alt_help S" by (rule span_induct_alt_help_0)
wenzelm@49522
   876
      moreover
wenzelm@53406
   877
      {
wenzelm@53406
   878
        fix x y
wenzelm@49522
   879
        assume h: "x \<in> span_induct_alt_help S" "y \<in> span_induct_alt_help S"
wenzelm@49522
   880
        from h have "(x + y) \<in> span_induct_alt_help S"
wenzelm@49522
   881
          apply (induct rule: span_induct_alt_help.induct)
wenzelm@49522
   882
          apply simp
wenzelm@49522
   883
          unfolding add_assoc
wenzelm@49522
   884
          apply (rule span_induct_alt_help_S)
wenzelm@49522
   885
          apply assumption
wenzelm@49522
   886
          apply simp
wenzelm@53406
   887
          done
wenzelm@53406
   888
      }
wenzelm@49522
   889
      moreover
wenzelm@53406
   890
      {
wenzelm@53406
   891
        fix c x
wenzelm@49522
   892
        assume xt: "x \<in> span_induct_alt_help S"
wenzelm@49522
   893
        then have "(c *\<^sub>R x) \<in> span_induct_alt_help S"
wenzelm@49522
   894
          apply (induct rule: span_induct_alt_help.induct)
wenzelm@49522
   895
          apply (simp add: span_induct_alt_help_0)
wenzelm@49522
   896
          apply (simp add: scaleR_right_distrib)
wenzelm@49522
   897
          apply (rule span_induct_alt_help_S)
wenzelm@49522
   898
          apply assumption
wenzelm@49522
   899
          apply simp
wenzelm@49522
   900
          done }
wenzelm@53406
   901
      ultimately show "subspace (span_induct_alt_help S)"
wenzelm@49522
   902
        unfolding subspace_def Ball_def by blast
wenzelm@53406
   903
    qed
wenzelm@53406
   904
  }
huffman@44133
   905
  with th0 show ?thesis by blast
huffman@44133
   906
qed
huffman@44133
   907
huffman@44133
   908
lemma span_induct_alt:
wenzelm@53406
   909
  assumes h0: "h 0"
wenzelm@53406
   910
    and hS: "\<And>c x y. x \<in> S \<Longrightarrow> h y \<Longrightarrow> h (c *\<^sub>R x + y)"
wenzelm@53406
   911
    and x: "x \<in> span S"
huffman@44133
   912
  shows "h x"
wenzelm@49522
   913
  using span_induct_alt'[of h S] h0 hS x by blast
huffman@44133
   914
huffman@44133
   915
text {* Individual closure properties. *}
huffman@44133
   916
huffman@44133
   917
lemma span_span: "span (span A) = span A"
huffman@44133
   918
  unfolding span_def hull_hull ..
huffman@44133
   919
wenzelm@53406
   920
lemma (in real_vector) span_superset: "x \<in> S \<Longrightarrow> x \<in> span S"
wenzelm@53406
   921
  by (metis span_clauses(1))
wenzelm@53406
   922
wenzelm@53406
   923
lemma (in real_vector) span_0: "0 \<in> span S"
wenzelm@53406
   924
  by (metis subspace_span subspace_0)
huffman@44133
   925
huffman@44133
   926
lemma span_inc: "S \<subseteq> span S"
huffman@44133
   927
  by (metis subset_eq span_superset)
huffman@44133
   928
wenzelm@53406
   929
lemma (in real_vector) dependent_0:
wenzelm@53406
   930
  assumes "0 \<in> A"
wenzelm@53406
   931
  shows "dependent A"
wenzelm@53406
   932
  unfolding dependent_def
wenzelm@53406
   933
  apply (rule_tac x=0 in bexI)
wenzelm@53406
   934
  using assms span_0
wenzelm@53406
   935
  apply auto
wenzelm@53406
   936
  done
wenzelm@53406
   937
wenzelm@53406
   938
lemma (in real_vector) span_add: "x \<in> span S \<Longrightarrow> y \<in> span S \<Longrightarrow> x + y \<in> span S"
huffman@44133
   939
  by (metis subspace_add subspace_span)
huffman@44133
   940
wenzelm@53406
   941
lemma (in real_vector) span_mul: "x \<in> span S \<Longrightarrow> c *\<^sub>R x \<in> span S"
huffman@44133
   942
  by (metis subspace_span subspace_mul)
huffman@44133
   943
wenzelm@53406
   944
lemma span_neg: "x \<in> span S \<Longrightarrow> - x \<in> span S"
huffman@44133
   945
  by (metis subspace_neg subspace_span)
huffman@44133
   946
wenzelm@53406
   947
lemma span_sub: "x \<in> span S \<Longrightarrow> y \<in> span S \<Longrightarrow> x - y \<in> span S"
huffman@44133
   948
  by (metis subspace_span subspace_sub)
huffman@44133
   949
wenzelm@53406
   950
lemma (in real_vector) span_setsum: "finite A \<Longrightarrow> \<forall>x \<in> A. f x \<in> span S \<Longrightarrow> setsum f A \<in> span S"
huffman@44133
   951
  by (rule subspace_setsum, rule subspace_span)
huffman@44133
   952
huffman@44133
   953
lemma span_add_eq: "x \<in> span S \<Longrightarrow> x + y \<in> span S \<longleftrightarrow> y \<in> span S"
huffman@44133
   954
  apply (auto simp only: span_add span_sub)
wenzelm@53406
   955
  apply (subgoal_tac "(x + y) - x \<in> span S")
wenzelm@53406
   956
  apply simp
wenzelm@49522
   957
  apply (simp only: span_add span_sub)
wenzelm@49522
   958
  done
huffman@44133
   959
huffman@44133
   960
text {* Mapping under linear image. *}
huffman@44133
   961
huffman@44521
   962
lemma image_subset_iff_subset_vimage: "f ` A \<subseteq> B \<longleftrightarrow> A \<subseteq> f -` B"
huffman@44521
   963
  by auto (* TODO: move *)
huffman@44521
   964
huffman@44521
   965
lemma span_linear_image:
huffman@44521
   966
  assumes lf: "linear f"
huffman@44133
   967
  shows "span (f ` S) = f ` (span S)"
huffman@44521
   968
proof (rule span_unique)
huffman@44521
   969
  show "f ` S \<subseteq> f ` span S"
huffman@44521
   970
    by (intro image_mono span_inc)
huffman@44521
   971
  show "subspace (f ` span S)"
huffman@44521
   972
    using lf subspace_span by (rule subspace_linear_image)
huffman@44521
   973
next
wenzelm@53406
   974
  fix T
wenzelm@53406
   975
  assume "f ` S \<subseteq> T" and "subspace T"
wenzelm@49522
   976
  then show "f ` span S \<subseteq> T"
huffman@44521
   977
    unfolding image_subset_iff_subset_vimage
huffman@44521
   978
    by (intro span_minimal subspace_linear_vimage lf)
huffman@44521
   979
qed
huffman@44521
   980
huffman@44521
   981
lemma span_union: "span (A \<union> B) = (\<lambda>(a, b). a + b) ` (span A \<times> span B)"
huffman@44521
   982
proof (rule span_unique)
huffman@44521
   983
  show "A \<union> B \<subseteq> (\<lambda>(a, b). a + b) ` (span A \<times> span B)"
huffman@44521
   984
    by safe (force intro: span_clauses)+
huffman@44521
   985
next
huffman@44521
   986
  have "linear (\<lambda>(a, b). a + b)"
huffman@44521
   987
    by (simp add: linear_def scaleR_add_right)
huffman@44521
   988
  moreover have "subspace (span A \<times> span B)"
huffman@44521
   989
    by (intro subspace_Times subspace_span)
huffman@44521
   990
  ultimately show "subspace ((\<lambda>(a, b). a + b) ` (span A \<times> span B))"
huffman@44521
   991
    by (rule subspace_linear_image)
huffman@44521
   992
next
wenzelm@49711
   993
  fix T
wenzelm@49711
   994
  assume "A \<union> B \<subseteq> T" and "subspace T"
wenzelm@49522
   995
  then show "(\<lambda>(a, b). a + b) ` (span A \<times> span B) \<subseteq> T"
huffman@44521
   996
    by (auto intro!: subspace_add elim: span_induct)
huffman@44133
   997
qed
huffman@44133
   998
huffman@44133
   999
text {* The key breakdown property. *}
huffman@44133
  1000
huffman@44521
  1001
lemma span_singleton: "span {x} = range (\<lambda>k. k *\<^sub>R x)"
huffman@44521
  1002
proof (rule span_unique)
huffman@44521
  1003
  show "{x} \<subseteq> range (\<lambda>k. k *\<^sub>R x)"
huffman@44521
  1004
    by (fast intro: scaleR_one [symmetric])
huffman@44521
  1005
  show "subspace (range (\<lambda>k. k *\<^sub>R x))"
huffman@44521
  1006
    unfolding subspace_def
huffman@44521
  1007
    by (auto intro: scaleR_add_left [symmetric])
wenzelm@53406
  1008
next
wenzelm@53406
  1009
  fix T
wenzelm@53406
  1010
  assume "{x} \<subseteq> T" and "subspace T"
wenzelm@53406
  1011
  then show "range (\<lambda>k. k *\<^sub>R x) \<subseteq> T"
huffman@44521
  1012
    unfolding subspace_def by auto
huffman@44521
  1013
qed
huffman@44521
  1014
wenzelm@49522
  1015
lemma span_insert: "span (insert a S) = {x. \<exists>k. (x - k *\<^sub>R a) \<in> span S}"
huffman@44521
  1016
proof -
huffman@44521
  1017
  have "span ({a} \<union> S) = {x. \<exists>k. (x - k *\<^sub>R a) \<in> span S}"
huffman@44521
  1018
    unfolding span_union span_singleton
huffman@44521
  1019
    apply safe
huffman@44521
  1020
    apply (rule_tac x=k in exI, simp)
huffman@44521
  1021
    apply (erule rev_image_eqI [OF SigmaI [OF rangeI]])
huffman@44521
  1022
    apply simp
huffman@44521
  1023
    apply (rule right_minus)
huffman@44521
  1024
    done
wenzelm@49522
  1025
  then show ?thesis by simp
huffman@44521
  1026
qed
huffman@44521
  1027
huffman@44133
  1028
lemma span_breakdown:
wenzelm@53406
  1029
  assumes bS: "b \<in> S"
wenzelm@53406
  1030
    and aS: "a \<in> span S"
huffman@44521
  1031
  shows "\<exists>k. a - k *\<^sub>R b \<in> span (S - {b})"
huffman@44521
  1032
  using assms span_insert [of b "S - {b}"]
huffman@44521
  1033
  by (simp add: insert_absorb)
huffman@44133
  1034
wenzelm@53406
  1035
lemma span_breakdown_eq: "x \<in> span (insert a S) \<longleftrightarrow> (\<exists>k. x - k *\<^sub>R a \<in> span S)"
huffman@44521
  1036
  by (simp add: span_insert)
huffman@44133
  1037
huffman@44133
  1038
text {* Hence some "reversal" results. *}
huffman@44133
  1039
huffman@44133
  1040
lemma in_span_insert:
wenzelm@49711
  1041
  assumes a: "a \<in> span (insert b S)"
wenzelm@49711
  1042
    and na: "a \<notin> span S"
huffman@44133
  1043
  shows "b \<in> span (insert a S)"
wenzelm@49663
  1044
proof -
huffman@44133
  1045
  from span_breakdown[of b "insert b S" a, OF insertI1 a]
huffman@44133
  1046
  obtain k where k: "a - k*\<^sub>R b \<in> span (S - {b})" by auto
wenzelm@53406
  1047
  show ?thesis
wenzelm@53406
  1048
  proof (cases "k = 0")
wenzelm@53406
  1049
    case True
huffman@44133
  1050
    with k have "a \<in> span S"
huffman@44133
  1051
      apply (simp)
huffman@44133
  1052
      apply (rule set_rev_mp)
huffman@44133
  1053
      apply assumption
huffman@44133
  1054
      apply (rule span_mono)
huffman@44133
  1055
      apply blast
huffman@44133
  1056
      done
wenzelm@53406
  1057
    with na show ?thesis by blast
wenzelm@53406
  1058
  next
wenzelm@53406
  1059
    case False
huffman@44133
  1060
    have eq: "b = (1/k) *\<^sub>R a - ((1/k) *\<^sub>R a - b)" by simp
wenzelm@53406
  1061
    from False have eq': "(1/k) *\<^sub>R (a - k*\<^sub>R b) = (1/k) *\<^sub>R a - b"
huffman@44133
  1062
      by (simp add: algebra_simps)
huffman@44133
  1063
    from k have "(1/k) *\<^sub>R (a - k*\<^sub>R b) \<in> span (S - {b})"
huffman@44133
  1064
      by (rule span_mul)
wenzelm@49652
  1065
    then have th: "(1/k) *\<^sub>R a - b \<in> span (S - {b})"
huffman@44133
  1066
      unfolding eq' .
wenzelm@53406
  1067
    from k show ?thesis
huffman@44133
  1068
      apply (subst eq)
huffman@44133
  1069
      apply (rule span_sub)
huffman@44133
  1070
      apply (rule span_mul)
huffman@44133
  1071
      apply (rule span_superset)
huffman@44133
  1072
      apply blast
huffman@44133
  1073
      apply (rule set_rev_mp)
huffman@44133
  1074
      apply (rule th)
huffman@44133
  1075
      apply (rule span_mono)
wenzelm@53406
  1076
      using na
wenzelm@53406
  1077
      apply blast
wenzelm@53406
  1078
      done
wenzelm@53406
  1079
  qed
huffman@44133
  1080
qed
huffman@44133
  1081
huffman@44133
  1082
lemma in_span_delete:
huffman@44133
  1083
  assumes a: "a \<in> span S"
wenzelm@49522
  1084
    and na: "a \<notin> span (S-{b})"
huffman@44133
  1085
  shows "b \<in> span (insert a (S - {b}))"
huffman@44133
  1086
  apply (rule in_span_insert)
huffman@44133
  1087
  apply (rule set_rev_mp)
huffman@44133
  1088
  apply (rule a)
huffman@44133
  1089
  apply (rule span_mono)
huffman@44133
  1090
  apply blast
huffman@44133
  1091
  apply (rule na)
huffman@44133
  1092
  done
huffman@44133
  1093
huffman@44133
  1094
text {* Transitivity property. *}
huffman@44133
  1095
huffman@44521
  1096
lemma span_redundant: "x \<in> span S \<Longrightarrow> span (insert x S) = span S"
huffman@44521
  1097
  unfolding span_def by (rule hull_redundant)
huffman@44521
  1098
huffman@44133
  1099
lemma span_trans:
wenzelm@53406
  1100
  assumes x: "x \<in> span S"
wenzelm@53406
  1101
    and y: "y \<in> span (insert x S)"
huffman@44133
  1102
  shows "y \<in> span S"
huffman@44521
  1103
  using assms by (simp only: span_redundant)
huffman@44133
  1104
huffman@44133
  1105
lemma span_insert_0[simp]: "span (insert 0 S) = span S"
huffman@44521
  1106
  by (simp only: span_redundant span_0)
huffman@44133
  1107
huffman@44133
  1108
text {* An explicit expansion is sometimes needed. *}
huffman@44133
  1109
huffman@44133
  1110
lemma span_explicit:
huffman@44133
  1111
  "span P = {y. \<exists>S u. finite S \<and> S \<subseteq> P \<and> setsum (\<lambda>v. u v *\<^sub>R v) S = y}"
huffman@44133
  1112
  (is "_ = ?E" is "_ = {y. ?h y}" is "_ = {y. \<exists>S u. ?Q S u y}")
wenzelm@49663
  1113
proof -
wenzelm@53406
  1114
  {
wenzelm@53406
  1115
    fix x
wenzelm@53406
  1116
    assume x: "x \<in> ?E"
huffman@44133
  1117
    then obtain S u where fS: "finite S" and SP: "S\<subseteq>P" and u: "setsum (\<lambda>v. u v *\<^sub>R v) S = x"
huffman@44133
  1118
      by blast
huffman@44133
  1119
    have "x \<in> span P"
huffman@44133
  1120
      unfolding u[symmetric]
huffman@44133
  1121
      apply (rule span_setsum[OF fS])
huffman@44133
  1122
      using span_mono[OF SP]
wenzelm@49522
  1123
      apply (auto intro: span_superset span_mul)
wenzelm@53406
  1124
      done
wenzelm@53406
  1125
  }
huffman@44133
  1126
  moreover
huffman@44133
  1127
  have "\<forall>x \<in> span P. x \<in> ?E"
wenzelm@49522
  1128
  proof (rule span_induct_alt')
huffman@44170
  1129
    show "0 \<in> Collect ?h"
huffman@44170
  1130
      unfolding mem_Collect_eq
wenzelm@49522
  1131
      apply (rule exI[where x="{}"])
wenzelm@49522
  1132
      apply simp
wenzelm@49522
  1133
      done
huffman@44133
  1134
  next
huffman@44133
  1135
    fix c x y
wenzelm@53406
  1136
    assume x: "x \<in> P"
wenzelm@53406
  1137
    assume hy: "y \<in> Collect ?h"
huffman@44133
  1138
    from hy obtain S u where fS: "finite S" and SP: "S\<subseteq>P"
huffman@44133
  1139
      and u: "setsum (\<lambda>v. u v *\<^sub>R v) S = y" by blast
huffman@44133
  1140
    let ?S = "insert x S"
wenzelm@49522
  1141
    let ?u = "\<lambda>y. if y = x then (if x \<in> S then u y + c else c) else u y"
wenzelm@53406
  1142
    from fS SP x have th0: "finite (insert x S)" "insert x S \<subseteq> P"
wenzelm@53406
  1143
      by blast+
wenzelm@53406
  1144
    have "?Q ?S ?u (c*\<^sub>R x + y)"
wenzelm@53406
  1145
    proof cases
wenzelm@53406
  1146
      assume xS: "x \<in> S"
huffman@44133
  1147
      have S1: "S = (S - {x}) \<union> {x}"
wenzelm@53406
  1148
        and Sss:"finite (S - {x})" "finite {x}" "(S -{x}) \<inter> {x} = {}"
wenzelm@53406
  1149
        using xS fS by auto
huffman@44133
  1150
      have "setsum (\<lambda>v. ?u v *\<^sub>R v) ?S =(\<Sum>v\<in>S - {x}. u v *\<^sub>R v) + (u x + c) *\<^sub>R x"
huffman@44133
  1151
        using xS
huffman@44133
  1152
        by (simp add: setsum_Un_disjoint[OF Sss, unfolded S1[symmetric]]
huffman@44133
  1153
          setsum_clauses(2)[OF fS] cong del: if_weak_cong)
huffman@44133
  1154
      also have "\<dots> = (\<Sum>v\<in>S. u v *\<^sub>R v) + c *\<^sub>R x"
huffman@44133
  1155
        apply (simp add: setsum_Un_disjoint[OF Sss, unfolded S1[symmetric]])
wenzelm@49522
  1156
        apply (simp add: algebra_simps)
wenzelm@49522
  1157
        done
huffman@44133
  1158
      also have "\<dots> = c*\<^sub>R x + y"
huffman@44133
  1159
        by (simp add: add_commute u)
huffman@44133
  1160
      finally have "setsum (\<lambda>v. ?u v *\<^sub>R v) ?S = c*\<^sub>R x + y" .
wenzelm@53406
  1161
      then show ?thesis using th0 by blast
wenzelm@53406
  1162
    next
wenzelm@53406
  1163
      assume xS: "x \<notin> S"
wenzelm@49522
  1164
      have th00: "(\<Sum>v\<in>S. (if v = x then c else u v) *\<^sub>R v) = y"
wenzelm@49522
  1165
        unfolding u[symmetric]
wenzelm@49522
  1166
        apply (rule setsum_cong2)
wenzelm@53406
  1167
        using xS
wenzelm@53406
  1168
        apply auto
wenzelm@49522
  1169
        done
wenzelm@53406
  1170
      show ?thesis using fS xS th0
wenzelm@53406
  1171
        by (simp add: th00 setsum_clauses add_commute cong del: if_weak_cong)
wenzelm@53406
  1172
    qed
huffman@44170
  1173
    then show "(c*\<^sub>R x + y) \<in> Collect ?h"
huffman@44170
  1174
      unfolding mem_Collect_eq
huffman@44133
  1175
      apply -
huffman@44133
  1176
      apply (rule exI[where x="?S"])
wenzelm@49522
  1177
      apply (rule exI[where x="?u"])
wenzelm@49522
  1178
      apply metis
wenzelm@49522
  1179
      done
huffman@44133
  1180
  qed
huffman@44133
  1181
  ultimately show ?thesis by blast
huffman@44133
  1182
qed
huffman@44133
  1183
huffman@44133
  1184
lemma dependent_explicit:
wenzelm@49522
  1185
  "dependent P \<longleftrightarrow> (\<exists>S u. finite S \<and> S \<subseteq> P \<and> (\<exists>v\<in>S. u v \<noteq> 0 \<and> setsum (\<lambda>v. u v *\<^sub>R v) S = 0))"
wenzelm@49522
  1186
  (is "?lhs = ?rhs")
wenzelm@49522
  1187
proof -
wenzelm@53406
  1188
  {
wenzelm@53406
  1189
    assume dP: "dependent P"
huffman@44133
  1190
    then obtain a S u where aP: "a \<in> P" and fS: "finite S"
huffman@44133
  1191
      and SP: "S \<subseteq> P - {a}" and ua: "setsum (\<lambda>v. u v *\<^sub>R v) S = a"
huffman@44133
  1192
      unfolding dependent_def span_explicit by blast
huffman@44133
  1193
    let ?S = "insert a S"
huffman@44133
  1194
    let ?u = "\<lambda>y. if y = a then - 1 else u y"
huffman@44133
  1195
    let ?v = a
wenzelm@53406
  1196
    from aP SP have aS: "a \<notin> S"
wenzelm@53406
  1197
      by blast
wenzelm@53406
  1198
    from fS SP aP have th0: "finite ?S" "?S \<subseteq> P" "?v \<in> ?S" "?u ?v \<noteq> 0"
wenzelm@53406
  1199
      by auto
huffman@44133
  1200
    have s0: "setsum (\<lambda>v. ?u v *\<^sub>R v) ?S = 0"
huffman@44133
  1201
      using fS aS
huffman@44133
  1202
      apply (simp add: setsum_clauses field_simps)
huffman@44133
  1203
      apply (subst (2) ua[symmetric])
huffman@44133
  1204
      apply (rule setsum_cong2)
wenzelm@49522
  1205
      apply auto
wenzelm@49522
  1206
      done
huffman@44133
  1207
    with th0 have ?rhs
huffman@44133
  1208
      apply -
huffman@44133
  1209
      apply (rule exI[where x= "?S"])
huffman@44133
  1210
      apply (rule exI[where x= "?u"])
wenzelm@49522
  1211
      apply auto
wenzelm@49522
  1212
      done
wenzelm@49522
  1213
  }
huffman@44133
  1214
  moreover
wenzelm@53406
  1215
  {
wenzelm@53406
  1216
    fix S u v
wenzelm@49522
  1217
    assume fS: "finite S"
wenzelm@53406
  1218
      and SP: "S \<subseteq> P"
wenzelm@53406
  1219
      and vS: "v \<in> S"
wenzelm@53406
  1220
      and uv: "u v \<noteq> 0"
wenzelm@49522
  1221
      and u: "setsum (\<lambda>v. u v *\<^sub>R v) S = 0"
huffman@44133
  1222
    let ?a = v
huffman@44133
  1223
    let ?S = "S - {v}"
huffman@44133
  1224
    let ?u = "\<lambda>i. (- u i) / u v"
wenzelm@53406
  1225
    have th0: "?a \<in> P" "finite ?S" "?S \<subseteq> P"
wenzelm@53406
  1226
      using fS SP vS by auto
wenzelm@53406
  1227
    have "setsum (\<lambda>v. ?u v *\<^sub>R v) ?S =
wenzelm@53406
  1228
      setsum (\<lambda>v. (- (inverse (u ?a))) *\<^sub>R (u v *\<^sub>R v)) S - ?u v *\<^sub>R v"
wenzelm@49522
  1229
      using fS vS uv by (simp add: setsum_diff1 divide_inverse field_simps)
wenzelm@53406
  1230
    also have "\<dots> = ?a"
wenzelm@53406
  1231
      unfolding scaleR_right.setsum [symmetric] u using uv by simp
wenzelm@53406
  1232
    finally have "setsum (\<lambda>v. ?u v *\<^sub>R v) ?S = ?a" .
huffman@44133
  1233
    with th0 have ?lhs
huffman@44133
  1234
      unfolding dependent_def span_explicit
huffman@44133
  1235
      apply -
huffman@44133
  1236
      apply (rule bexI[where x= "?a"])
huffman@44133
  1237
      apply (simp_all del: scaleR_minus_left)
huffman@44133
  1238
      apply (rule exI[where x= "?S"])
wenzelm@49522
  1239
      apply (auto simp del: scaleR_minus_left)
wenzelm@49522
  1240
      done
wenzelm@49522
  1241
  }
huffman@44133
  1242
  ultimately show ?thesis by blast
huffman@44133
  1243
qed
huffman@44133
  1244
huffman@44133
  1245
huffman@44133
  1246
lemma span_finite:
huffman@44133
  1247
  assumes fS: "finite S"
huffman@44133
  1248
  shows "span S = {y. \<exists>u. setsum (\<lambda>v. u v *\<^sub>R v) S = y}"
huffman@44133
  1249
  (is "_ = ?rhs")
wenzelm@49522
  1250
proof -
wenzelm@53406
  1251
  {
wenzelm@53406
  1252
    fix y
wenzelm@49711
  1253
    assume y: "y \<in> span S"
wenzelm@53406
  1254
    from y obtain S' u where fS': "finite S'"
wenzelm@53406
  1255
      and SS': "S' \<subseteq> S"
wenzelm@53406
  1256
      and u: "setsum (\<lambda>v. u v *\<^sub>R v) S' = y"
wenzelm@53406
  1257
      unfolding span_explicit by blast
huffman@44133
  1258
    let ?u = "\<lambda>x. if x \<in> S' then u x else 0"
huffman@44133
  1259
    have "setsum (\<lambda>v. ?u v *\<^sub>R v) S = setsum (\<lambda>v. u v *\<^sub>R v) S'"
huffman@44133
  1260
      using SS' fS by (auto intro!: setsum_mono_zero_cong_right)
wenzelm@49522
  1261
    then have "setsum (\<lambda>v. ?u v *\<^sub>R v) S = y" by (metis u)
wenzelm@53406
  1262
    then have "y \<in> ?rhs" by auto
wenzelm@53406
  1263
  }
huffman@44133
  1264
  moreover
wenzelm@53406
  1265
  {
wenzelm@53406
  1266
    fix y u
wenzelm@49522
  1267
    assume u: "setsum (\<lambda>v. u v *\<^sub>R v) S = y"
wenzelm@53406
  1268
    then have "y \<in> span S" using fS unfolding span_explicit by auto
wenzelm@53406
  1269
  }
huffman@44133
  1270
  ultimately show ?thesis by blast
huffman@44133
  1271
qed
huffman@44133
  1272
huffman@44133
  1273
text {* This is useful for building a basis step-by-step. *}
huffman@44133
  1274
huffman@44133
  1275
lemma independent_insert:
wenzelm@53406
  1276
  "independent (insert a S) \<longleftrightarrow>
wenzelm@53406
  1277
    (if a \<in> S then independent S else independent S \<and> a \<notin> span S)"
wenzelm@53406
  1278
  (is "?lhs \<longleftrightarrow> ?rhs")
wenzelm@53406
  1279
proof (cases "a \<in> S")
wenzelm@53406
  1280
  case True
wenzelm@53406
  1281
  then show ?thesis
wenzelm@53406
  1282
    using insert_absorb[OF True] by simp
wenzelm@53406
  1283
next
wenzelm@53406
  1284
  case False
wenzelm@53406
  1285
  show ?thesis
wenzelm@53406
  1286
  proof
wenzelm@53406
  1287
    assume i: ?lhs
wenzelm@53406
  1288
    then show ?rhs
wenzelm@53406
  1289
      using False
wenzelm@53406
  1290
      apply simp
wenzelm@53406
  1291
      apply (rule conjI)
wenzelm@53406
  1292
      apply (rule independent_mono)
wenzelm@53406
  1293
      apply assumption
wenzelm@53406
  1294
      apply blast
wenzelm@53406
  1295
      apply (simp add: dependent_def)
wenzelm@53406
  1296
      done
wenzelm@53406
  1297
  next
wenzelm@53406
  1298
    assume i: ?rhs
wenzelm@53406
  1299
    show ?lhs
wenzelm@53406
  1300
      using i False
wenzelm@53406
  1301
      apply simp
wenzelm@53406
  1302
      apply (auto simp add: dependent_def)
wenzelm@53406
  1303
      apply (case_tac "aa = a")
wenzelm@53406
  1304
      apply auto
wenzelm@53406
  1305
      apply (subgoal_tac "insert a S - {aa} = insert a (S - {aa})")
wenzelm@53406
  1306
      apply simp
wenzelm@53406
  1307
      apply (subgoal_tac "a \<in> span (insert aa (S - {aa}))")
wenzelm@53406
  1308
      apply (subgoal_tac "insert aa (S - {aa}) = S")
wenzelm@53406
  1309
      apply simp
wenzelm@53406
  1310
      apply blast
wenzelm@53406
  1311
      apply (rule in_span_insert)
wenzelm@53406
  1312
      apply assumption
wenzelm@53406
  1313
      apply blast
wenzelm@53406
  1314
      apply blast
wenzelm@53406
  1315
      done
wenzelm@53406
  1316
  qed
huffman@44133
  1317
qed
huffman@44133
  1318
huffman@44133
  1319
text {* The degenerate case of the Exchange Lemma. *}
huffman@44133
  1320
huffman@44133
  1321
lemma mem_delete: "x \<in> (A - {a}) \<longleftrightarrow> x \<noteq> a \<and> x \<in> A"
huffman@44133
  1322
  by blast
huffman@44133
  1323
huffman@44133
  1324
lemma spanning_subset_independent:
wenzelm@49711
  1325
  assumes BA: "B \<subseteq> A"
wenzelm@49711
  1326
    and iA: "independent A"
wenzelm@49522
  1327
    and AsB: "A \<subseteq> span B"
huffman@44133
  1328
  shows "A = B"
huffman@44133
  1329
proof
wenzelm@49663
  1330
  show "B \<subseteq> A" by (rule BA)
wenzelm@49663
  1331
huffman@44133
  1332
  from span_mono[OF BA] span_mono[OF AsB]
huffman@44133
  1333
  have sAB: "span A = span B" unfolding span_span by blast
huffman@44133
  1334
wenzelm@53406
  1335
  {
wenzelm@53406
  1336
    fix x
wenzelm@53406
  1337
    assume x: "x \<in> A"
huffman@44133
  1338
    from iA have th0: "x \<notin> span (A - {x})"
huffman@44133
  1339
      unfolding dependent_def using x by blast
wenzelm@53406
  1340
    from x have xsA: "x \<in> span A"
wenzelm@53406
  1341
      by (blast intro: span_superset)
huffman@44133
  1342
    have "A - {x} \<subseteq> A" by blast
wenzelm@53406
  1343
    then have th1: "span (A - {x}) \<subseteq> span A"
wenzelm@53406
  1344
      by (metis span_mono)
wenzelm@53406
  1345
    {
wenzelm@53406
  1346
      assume xB: "x \<notin> B"
wenzelm@53406
  1347
      from xB BA have "B \<subseteq> A - {x}"
wenzelm@53406
  1348
        by blast
wenzelm@53406
  1349
      then have "span B \<subseteq> span (A - {x})"
wenzelm@53406
  1350
        by (metis span_mono)
wenzelm@53406
  1351
      with th1 th0 sAB have "x \<notin> span A"
wenzelm@53406
  1352
        by blast
wenzelm@53406
  1353
      with x have False
wenzelm@53406
  1354
        by (metis span_superset)
wenzelm@53406
  1355
    }
wenzelm@53406
  1356
    then have "x \<in> B" by blast
wenzelm@53406
  1357
  }
huffman@44133
  1358
  then show "A \<subseteq> B" by blast
huffman@44133
  1359
qed
huffman@44133
  1360
huffman@44133
  1361
text {* The general case of the Exchange Lemma, the key to what follows. *}
huffman@44133
  1362
huffman@44133
  1363
lemma exchange_lemma:
wenzelm@49711
  1364
  assumes f:"finite t"
wenzelm@49711
  1365
    and i: "independent s"
wenzelm@49711
  1366
    and sp: "s \<subseteq> span t"
wenzelm@53406
  1367
  shows "\<exists>t'. card t' = card t \<and> finite t' \<and> s \<subseteq> t' \<and> t' \<subseteq> s \<union> t \<and> s \<subseteq> span t'"
wenzelm@49663
  1368
  using f i sp
wenzelm@49522
  1369
proof (induct "card (t - s)" arbitrary: s t rule: less_induct)
huffman@44133
  1370
  case less
huffman@44133
  1371
  note ft = `finite t` and s = `independent s` and sp = `s \<subseteq> span t`
wenzelm@53406
  1372
  let ?P = "\<lambda>t'. card t' = card t \<and> finite t' \<and> s \<subseteq> t' \<and> t' \<subseteq> s \<union> t \<and> s \<subseteq> span t'"
huffman@44133
  1373
  let ?ths = "\<exists>t'. ?P t'"
wenzelm@53406
  1374
  {
wenzelm@53406
  1375
    assume st: "s \<subseteq> t"
wenzelm@53406
  1376
    from st ft span_mono[OF st]
wenzelm@53406
  1377
    have ?ths
wenzelm@53406
  1378
      apply -
wenzelm@53406
  1379
      apply (rule exI[where x=t])
wenzelm@49522
  1380
      apply (auto intro: span_superset)
wenzelm@53406
  1381
      done
wenzelm@53406
  1382
  }
huffman@44133
  1383
  moreover
wenzelm@53406
  1384
  {
wenzelm@53406
  1385
    assume st: "t \<subseteq> s"
wenzelm@53406
  1386
    from spanning_subset_independent[OF st s sp] st ft span_mono[OF st]
wenzelm@53406
  1387
    have ?ths
wenzelm@53406
  1388
      apply -
wenzelm@53406
  1389
      apply (rule exI[where x=t])
wenzelm@53406
  1390
      apply (auto intro: span_superset)
wenzelm@53406
  1391
      done
wenzelm@53406
  1392
  }
huffman@44133
  1393
  moreover
wenzelm@53406
  1394
  {
wenzelm@53406
  1395
    assume st: "\<not> s \<subseteq> t" "\<not> t \<subseteq> s"
wenzelm@53406
  1396
    from st(2) obtain b where b: "b \<in> t" "b \<notin> s"
wenzelm@53406
  1397
      by blast
wenzelm@53406
  1398
    from b have "t - {b} - s \<subset> t - s"
wenzelm@53406
  1399
      by blast
wenzelm@53406
  1400
    then have cardlt: "card (t - {b} - s) < card (t - s)"
wenzelm@53406
  1401
      using ft by (auto intro: psubset_card_mono)
wenzelm@53406
  1402
    from b ft have ct0: "card t \<noteq> 0"
wenzelm@53406
  1403
      by auto
wenzelm@53406
  1404
    have ?ths
wenzelm@53406
  1405
    proof cases
wenzelm@53406
  1406
      assume stb: "s \<subseteq> span(t - {b})"
wenzelm@53406
  1407
      from ft have ftb: "finite (t -{b})"
wenzelm@53406
  1408
        by auto
huffman@44133
  1409
      from less(1)[OF cardlt ftb s stb]
wenzelm@49522
  1410
      obtain u where u: "card u = card (t-{b})" "s \<subseteq> u" "u \<subseteq> s \<union> (t - {b})" "s \<subseteq> span u"
wenzelm@49522
  1411
        and fu: "finite u" by blast
huffman@44133
  1412
      let ?w = "insert b u"
wenzelm@53406
  1413
      have th0: "s \<subseteq> insert b u"
wenzelm@53406
  1414
        using u by blast
wenzelm@53406
  1415
      from u(3) b have "u \<subseteq> s \<union> t"
wenzelm@53406
  1416
        by blast
wenzelm@53406
  1417
      then have th1: "insert b u \<subseteq> s \<union> t"
wenzelm@53406
  1418
        using u b by blast
wenzelm@53406
  1419
      have bu: "b \<notin> u"
wenzelm@53406
  1420
        using b u by blast
wenzelm@53406
  1421
      from u(1) ft b have "card u = (card t - 1)"
wenzelm@53406
  1422
        by auto
wenzelm@49522
  1423
      then have th2: "card (insert b u) = card t"
huffman@44133
  1424
        using card_insert_disjoint[OF fu bu] ct0 by auto
huffman@44133
  1425
      from u(4) have "s \<subseteq> span u" .
wenzelm@53406
  1426
      also have "\<dots> \<subseteq> span (insert b u)"
wenzelm@53406
  1427
        by (rule span_mono) blast
huffman@44133
  1428
      finally have th3: "s \<subseteq> span (insert b u)" .
wenzelm@53406
  1429
      from th0 th1 th2 th3 fu have th: "?P ?w"
wenzelm@53406
  1430
        by blast
wenzelm@53406
  1431
      from th show ?thesis by blast
wenzelm@53406
  1432
    next
wenzelm@53406
  1433
      assume stb: "\<not> s \<subseteq> span(t - {b})"
wenzelm@53406
  1434
      from stb obtain a where a: "a \<in> s" "a \<notin> span (t - {b})"
wenzelm@53406
  1435
        by blast
wenzelm@53406
  1436
      have ab: "a \<noteq> b"
wenzelm@53406
  1437
        using a b by blast
wenzelm@53406
  1438
      have at: "a \<notin> t"
wenzelm@53406
  1439
        using a ab span_superset[of a "t- {b}"] by auto
huffman@44133
  1440
      have mlt: "card ((insert a (t - {b})) - s) < card (t - s)"
huffman@44133
  1441
        using cardlt ft a b by auto
wenzelm@53406
  1442
      have ft': "finite (insert a (t - {b}))"
wenzelm@53406
  1443
        using ft by auto
wenzelm@53406
  1444
      {
wenzelm@53406
  1445
        fix x
wenzelm@53406
  1446
        assume xs: "x \<in> s"
wenzelm@53406
  1447
        have t: "t \<subseteq> insert b (insert a (t - {b}))"
wenzelm@53406
  1448
          using b by auto
wenzelm@53406
  1449
        from b(1) have "b \<in> span t"
wenzelm@53406
  1450
          by (simp add: span_superset)
wenzelm@53406
  1451
        have bs: "b \<in> span (insert a (t - {b}))"
wenzelm@53406
  1452
          apply (rule in_span_delete)
wenzelm@53406
  1453
          using a sp unfolding subset_eq
wenzelm@53406
  1454
          apply auto
wenzelm@53406
  1455
          done
wenzelm@53406
  1456
        from xs sp have "x \<in> span t"
wenzelm@53406
  1457
          by blast
wenzelm@53406
  1458
        with span_mono[OF t] have x: "x \<in> span (insert b (insert a (t - {b})))" ..
wenzelm@53406
  1459
        from span_trans[OF bs x] have "x \<in> span (insert a (t - {b}))" .
wenzelm@53406
  1460
      }
wenzelm@53406
  1461
      then have sp': "s \<subseteq> span (insert a (t - {b}))"
wenzelm@53406
  1462
        by blast
wenzelm@53406
  1463
      from less(1)[OF mlt ft' s sp'] obtain u where u:
wenzelm@53406
  1464
        "card u = card (insert a (t -{b}))"
wenzelm@53406
  1465
        "finite u" "s \<subseteq> u" "u \<subseteq> s \<union> insert a (t -{b})"
wenzelm@53406
  1466
        "s \<subseteq> span u" by blast
wenzelm@53406
  1467
      from u a b ft at ct0 have "?P u"
wenzelm@53406
  1468
        by auto
wenzelm@53406
  1469
      then show ?thesis by blast
wenzelm@53406
  1470
    qed
huffman@44133
  1471
  }
wenzelm@49522
  1472
  ultimately show ?ths by blast
huffman@44133
  1473
qed
huffman@44133
  1474
huffman@44133
  1475
text {* This implies corresponding size bounds. *}
huffman@44133
  1476
huffman@44133
  1477
lemma independent_span_bound:
wenzelm@53406
  1478
  assumes f: "finite t"
wenzelm@53406
  1479
    and i: "independent s"
wenzelm@53406
  1480
    and sp: "s \<subseteq> span t"
huffman@44133
  1481
  shows "finite s \<and> card s \<le> card t"
huffman@44133
  1482
  by (metis exchange_lemma[OF f i sp] finite_subset card_mono)
huffman@44133
  1483
huffman@44133
  1484
lemma finite_Atleast_Atmost_nat[simp]: "finite {f x |x. x\<in> (UNIV::'a::finite set)}"
wenzelm@49522
  1485
proof -
wenzelm@53406
  1486
  have eq: "{f x |x. x\<in> UNIV} = f ` UNIV"
wenzelm@53406
  1487
    by auto
huffman@44133
  1488
  show ?thesis unfolding eq
huffman@44133
  1489
    apply (rule finite_imageI)
huffman@44133
  1490
    apply (rule finite)
huffman@44133
  1491
    done
huffman@44133
  1492
qed
huffman@44133
  1493
wenzelm@53406
  1494
wenzelm@53406
  1495
subsection {* Euclidean Spaces as Typeclass *}
huffman@44133
  1496
hoelzl@50526
  1497
lemma independent_Basis: "independent Basis"
hoelzl@50526
  1498
  unfolding dependent_def
hoelzl@50526
  1499
  apply (subst span_finite)
hoelzl@50526
  1500
  apply simp
huffman@44133
  1501
  apply clarify
hoelzl@50526
  1502
  apply (drule_tac f="inner a" in arg_cong)
hoelzl@50526
  1503
  apply (simp add: inner_Basis inner_setsum_right eq_commute)
hoelzl@50526
  1504
  done
hoelzl@50526
  1505
hoelzl@50526
  1506
lemma span_Basis[simp]: "span Basis = (UNIV :: 'a::euclidean_space set)"
hoelzl@50526
  1507
  apply (subst span_finite)
hoelzl@50526
  1508
  apply simp
hoelzl@50526
  1509
  apply (safe intro!: UNIV_I)
hoelzl@50526
  1510
  apply (rule_tac x="inner x" in exI)
hoelzl@50526
  1511
  apply (simp add: euclidean_representation)
huffman@44133
  1512
  done
huffman@44133
  1513
hoelzl@50526
  1514
lemma in_span_Basis: "x \<in> span Basis"
hoelzl@50526
  1515
  unfolding span_Basis ..
hoelzl@50526
  1516
hoelzl@50526
  1517
lemma Basis_le_norm: "b \<in> Basis \<Longrightarrow> \<bar>x \<bullet> b\<bar> \<le> norm x"
hoelzl@50526
  1518
  by (rule order_trans [OF Cauchy_Schwarz_ineq2]) simp
hoelzl@50526
  1519
hoelzl@50526
  1520
lemma norm_bound_Basis_le: "b \<in> Basis \<Longrightarrow> norm x \<le> e \<Longrightarrow> \<bar>x \<bullet> b\<bar> \<le> e"
hoelzl@50526
  1521
  by (metis Basis_le_norm order_trans)
hoelzl@50526
  1522
hoelzl@50526
  1523
lemma norm_bound_Basis_lt: "b \<in> Basis \<Longrightarrow> norm x < e \<Longrightarrow> \<bar>x \<bullet> b\<bar> < e"
hoelzl@50526
  1524
  by (metis Basis_le_norm basic_trans_rules(21))
hoelzl@50526
  1525
hoelzl@50526
  1526
lemma norm_le_l1: "norm x \<le> (\<Sum>b\<in>Basis. \<bar>x \<bullet> b\<bar>)"
hoelzl@50526
  1527
  apply (subst euclidean_representation[of x, symmetric])
huffman@44176
  1528
  apply (rule order_trans[OF norm_setsum])
wenzelm@49522
  1529
  apply (auto intro!: setsum_mono)
wenzelm@49522
  1530
  done
huffman@44133
  1531
huffman@44133
  1532
lemma setsum_norm_allsubsets_bound:
huffman@44133
  1533
  fixes f:: "'a \<Rightarrow> 'n::euclidean_space"
wenzelm@53406
  1534
  assumes fP: "finite P"
wenzelm@53406
  1535
    and fPs: "\<And>Q. Q \<subseteq> P \<Longrightarrow> norm (setsum f Q) \<le> e"
hoelzl@50526
  1536
  shows "(\<Sum>x\<in>P. norm (f x)) \<le> 2 * real DIM('n) * e"
wenzelm@49522
  1537
proof -
hoelzl@50526
  1538
  have "(\<Sum>x\<in>P. norm (f x)) \<le> (\<Sum>x\<in>P. \<Sum>b\<in>Basis. \<bar>f x \<bullet> b\<bar>)"
hoelzl@50526
  1539
    by (rule setsum_mono) (rule norm_le_l1)
hoelzl@50526
  1540
  also have "(\<Sum>x\<in>P. \<Sum>b\<in>Basis. \<bar>f x \<bullet> b\<bar>) = (\<Sum>b\<in>Basis. \<Sum>x\<in>P. \<bar>f x \<bullet> b\<bar>)"
huffman@44133
  1541
    by (rule setsum_commute)
hoelzl@50526
  1542
  also have "\<dots> \<le> of_nat (card (Basis :: 'n set)) * (2 * e)"
wenzelm@49522
  1543
  proof (rule setsum_bounded)
wenzelm@53406
  1544
    fix i :: 'n
wenzelm@53406
  1545
    assume i: "i \<in> Basis"
wenzelm@53406
  1546
    have "norm (\<Sum>x\<in>P. \<bar>f x \<bullet> i\<bar>) \<le>
hoelzl@50526
  1547
      norm ((\<Sum>x\<in>P \<inter> - {x. f x \<bullet> i < 0}. f x) \<bullet> i) + norm ((\<Sum>x\<in>P \<inter> {x. f x \<bullet> i < 0}. f x) \<bullet> i)"
hoelzl@50526
  1548
      by (simp add: abs_real_def setsum_cases[OF fP] setsum_negf uminus_add_conv_diff
wenzelm@53406
  1549
            norm_triangle_ineq4 inner_setsum_left del: real_norm_def)
wenzelm@53406
  1550
    also have "\<dots> \<le> e + e"
wenzelm@53406
  1551
      unfolding real_norm_def
hoelzl@50526
  1552
      by (intro add_mono norm_bound_Basis_le i fPs) auto
hoelzl@50526
  1553
    finally show "(\<Sum>x\<in>P. \<bar>f x \<bullet> i\<bar>) \<le> 2*e" by simp
huffman@44133
  1554
  qed
hoelzl@50526
  1555
  also have "\<dots> = 2 * real DIM('n) * e"
hoelzl@50526
  1556
    by (simp add: real_of_nat_def)
huffman@44133
  1557
  finally show ?thesis .
huffman@44133
  1558
qed
huffman@44133
  1559
wenzelm@53406
  1560
huffman@44133
  1561
subsection {* Linearity and Bilinearity continued *}
huffman@44133
  1562
huffman@44133
  1563
lemma linear_bounded:
huffman@44133
  1564
  fixes f:: "'a::euclidean_space \<Rightarrow> 'b::real_normed_vector"
huffman@44133
  1565
  assumes lf: "linear f"
huffman@44133
  1566
  shows "\<exists>B. \<forall>x. norm (f x) \<le> B * norm x"
wenzelm@49522
  1567
proof -
hoelzl@50526
  1568
  let ?B = "\<Sum>b\<in>Basis. norm (f b)"
wenzelm@53406
  1569
  {
wenzelm@53406
  1570
    fix x :: 'a
hoelzl@50526
  1571
    let ?g = "\<lambda>b. (x \<bullet> b) *\<^sub>R f b"
hoelzl@50526
  1572
    have "norm (f x) = norm (f (\<Sum>b\<in>Basis. (x \<bullet> b) *\<^sub>R b))"
hoelzl@50526
  1573
      unfolding euclidean_representation ..
hoelzl@50526
  1574
    also have "\<dots> = norm (setsum ?g Basis)"
wenzelm@53406
  1575
      using linear_setsum[OF lf finite_Basis, of "\<lambda>b. (x \<bullet> b) *\<^sub>R b", unfolded o_def] linear_cmul[OF lf]
wenzelm@53406
  1576
      by auto
hoelzl@50526
  1577
    finally have th0: "norm (f x) = norm (setsum ?g Basis)" .
wenzelm@53406
  1578
    {
wenzelm@53406
  1579
      fix i :: 'a
wenzelm@53406
  1580
      assume i: "i \<in> Basis"
hoelzl@50526
  1581
      from Basis_le_norm[OF i, of x]
hoelzl@50526
  1582
      have "norm (?g i) \<le> norm (f i) * norm x"
wenzelm@49663
  1583
        unfolding norm_scaleR
hoelzl@50526
  1584
        apply (subst mult_commute)
wenzelm@49663
  1585
        apply (rule mult_mono)
wenzelm@49663
  1586
        apply (auto simp add: field_simps)
wenzelm@53406
  1587
        done
wenzelm@53406
  1588
    }
hoelzl@50526
  1589
    then have th: "\<forall>b\<in>Basis. norm (?g b) \<le> norm (f b) * norm x"
wenzelm@49522
  1590
      by metis
hoelzl@50526
  1591
    from setsum_norm_le[of _ ?g, OF th]
wenzelm@53406
  1592
    have "norm (f x) \<le> ?B * norm x"
wenzelm@53406
  1593
      unfolding th0 setsum_left_distrib by metis
wenzelm@53406
  1594
  }
huffman@44133
  1595
  then show ?thesis by blast
huffman@44133
  1596
qed
huffman@44133
  1597
huffman@44133
  1598
lemma linear_bounded_pos:
huffman@44133
  1599
  fixes f:: "'a::euclidean_space \<Rightarrow> 'b::real_normed_vector"
huffman@44133
  1600
  assumes lf: "linear f"
huffman@44133
  1601
  shows "\<exists>B > 0. \<forall>x. norm (f x) \<le> B * norm x"
wenzelm@49663
  1602
proof -
huffman@44133
  1603
  from linear_bounded[OF lf] obtain B where
huffman@44133
  1604
    B: "\<forall>x. norm (f x) \<le> B * norm x" by blast
huffman@44133
  1605
  let ?K = "\<bar>B\<bar> + 1"
huffman@44133
  1606
  have Kp: "?K > 0" by arith
wenzelm@53406
  1607
  {
wenzelm@53406
  1608
    assume C: "B < 0"
hoelzl@50526
  1609
    def One \<equiv> "\<Sum>Basis ::'a"
hoelzl@50526
  1610
    then have "One \<noteq> 0"
hoelzl@50526
  1611
      unfolding euclidean_eq_iff[where 'a='a]
hoelzl@50526
  1612
      by (simp add: inner_setsum_left inner_Basis setsum_cases)
hoelzl@50526
  1613
    then have "norm One > 0" by auto
hoelzl@50526
  1614
    with C have "B * norm One < 0"
wenzelm@49663
  1615
      by (simp add: mult_less_0_iff)
hoelzl@50526
  1616
    with B[rule_format, of One] norm_ge_zero[of "f One"]
hoelzl@50526
  1617
    have False by simp
wenzelm@49663
  1618
  }
wenzelm@53406
  1619
  then have Bp: "B \<ge> 0"
wenzelm@53406
  1620
    by (metis not_leE)
wenzelm@53406
  1621
  {
wenzelm@53406
  1622
    fix x::"'a"
wenzelm@49663
  1623
    have "norm (f x) \<le> ?K *  norm x"
huffman@44133
  1624
      using B[rule_format, of x] norm_ge_zero[of x] norm_ge_zero[of "f x"] Bp
huffman@44133
  1625
      apply (auto simp add: field_simps split add: abs_split)
huffman@44133
  1626
      apply (erule order_trans, simp)
huffman@44133
  1627
      done
wenzelm@53406
  1628
  }
wenzelm@53406
  1629
  then show ?thesis
wenzelm@53406
  1630
    using Kp by blast
huffman@44133
  1631
qed
huffman@44133
  1632
huffman@44133
  1633
lemma linear_conv_bounded_linear:
huffman@44133
  1634
  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::real_normed_vector"
huffman@44133
  1635
  shows "linear f \<longleftrightarrow> bounded_linear f"
huffman@44133
  1636
proof
huffman@44133
  1637
  assume "linear f"
huffman@44133
  1638
  show "bounded_linear f"
huffman@44133
  1639
  proof
wenzelm@53406
  1640
    fix x y
wenzelm@53406
  1641
    show "f (x + y) = f x + f y"
huffman@44133
  1642
      using `linear f` unfolding linear_def by simp
huffman@44133
  1643
  next
wenzelm@53406
  1644
    fix r x
wenzelm@53406
  1645
    show "f (scaleR r x) = scaleR r (f x)"
huffman@44133
  1646
      using `linear f` unfolding linear_def by simp
huffman@44133
  1647
  next
huffman@44133
  1648
    have "\<exists>B. \<forall>x. norm (f x) \<le> B * norm x"
huffman@44133
  1649
      using `linear f` by (rule linear_bounded)
wenzelm@49522
  1650
    then show "\<exists>K. \<forall>x. norm (f x) \<le> norm x * K"
huffman@44133
  1651
      by (simp add: mult_commute)
huffman@44133
  1652
  qed
huffman@44133
  1653
next
huffman@44133
  1654
  assume "bounded_linear f"
huffman@44133
  1655
  then interpret f: bounded_linear f .
wenzelm@53406
  1656
  show "linear f" by (simp add: f.add f.scaleR linear_def)
huffman@44133
  1657
qed
huffman@44133
  1658
wenzelm@49522
  1659
lemma bounded_linearI':
wenzelm@49522
  1660
  fixes f::"'a::euclidean_space \<Rightarrow> 'b::real_normed_vector"
wenzelm@53406
  1661
  assumes "\<And>x y. f (x + y) = f x + f y"
wenzelm@53406
  1662
    and "\<And>c x. f (c *\<^sub>R x) = c *\<^sub>R f x"
wenzelm@49522
  1663
  shows "bounded_linear f"
wenzelm@53406
  1664
  unfolding linear_conv_bounded_linear[symmetric]
wenzelm@49522
  1665
  by (rule linearI[OF assms])
huffman@44133
  1666
huffman@44133
  1667
lemma bilinear_bounded:
huffman@44133
  1668
  fixes h:: "'m::euclidean_space \<Rightarrow> 'n::euclidean_space \<Rightarrow> 'k::real_normed_vector"
huffman@44133
  1669
  assumes bh: "bilinear h"
huffman@44133
  1670
  shows "\<exists>B. \<forall>x y. norm (h x y) \<le> B * norm x * norm y"
hoelzl@50526
  1671
proof (clarify intro!: exI[of _ "\<Sum>i\<in>Basis. \<Sum>j\<in>Basis. norm (h i j)"])
wenzelm@53406
  1672
  fix x :: 'm
wenzelm@53406
  1673
  fix y :: 'n
wenzelm@53406
  1674
  have "norm (h x y) = norm (h (setsum (\<lambda>i. (x \<bullet> i) *\<^sub>R i) Basis) (setsum (\<lambda>i. (y \<bullet> i) *\<^sub>R i) Basis))"
wenzelm@53406
  1675
    apply (subst euclidean_representation[where 'a='m])
wenzelm@53406
  1676
    apply (subst euclidean_representation[where 'a='n])
hoelzl@50526
  1677
    apply rule
hoelzl@50526
  1678
    done
wenzelm@53406
  1679
  also have "\<dots> = norm (setsum (\<lambda> (i,j). h ((x \<bullet> i) *\<^sub>R i) ((y \<bullet> j) *\<^sub>R j)) (Basis \<times> Basis))"
hoelzl@50526
  1680
    unfolding bilinear_setsum[OF bh finite_Basis finite_Basis] ..
hoelzl@50526
  1681
  finally have th: "norm (h x y) = \<dots>" .
hoelzl@50526
  1682
  show "norm (h x y) \<le> (\<Sum>i\<in>Basis. \<Sum>j\<in>Basis. norm (h i j)) * norm x * norm y"
wenzelm@53406
  1683
    apply (auto simp add: setsum_left_distrib th setsum_cartesian_product)
wenzelm@53406
  1684
    apply (rule setsum_norm_le)
wenzelm@53406
  1685
    apply simp
wenzelm@53406
  1686
    apply (auto simp add: bilinear_rmul[OF bh] bilinear_lmul[OF bh]
wenzelm@53406
  1687
      field_simps simp del: scaleR_scaleR)
wenzelm@53406
  1688
    apply (rule mult_mono)
wenzelm@53406
  1689
    apply (auto simp add: zero_le_mult_iff Basis_le_norm)
wenzelm@53406
  1690
    apply (rule mult_mono)
wenzelm@53406
  1691
    apply (auto simp add: zero_le_mult_iff Basis_le_norm)
wenzelm@53406
  1692
    done
huffman@44133
  1693
qed
huffman@44133
  1694
huffman@44133
  1695
lemma bilinear_bounded_pos:
huffman@44133
  1696
  fixes h:: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space \<Rightarrow> 'c::real_normed_vector"
huffman@44133
  1697
  assumes bh: "bilinear h"
huffman@44133
  1698
  shows "\<exists>B > 0. \<forall>x y. norm (h x y) \<le> B * norm x * norm y"
wenzelm@49522
  1699
proof -
huffman@44133
  1700
  from bilinear_bounded[OF bh] obtain B where
huffman@44133
  1701
    B: "\<forall>x y. norm (h x y) \<le> B * norm x * norm y" by blast
huffman@44133
  1702
  let ?K = "\<bar>B\<bar> + 1"
huffman@44133
  1703
  have Kp: "?K > 0" by arith
huffman@44133
  1704
  have KB: "B < ?K" by arith
wenzelm@53406
  1705
  {
wenzelm@53406
  1706
    fix x :: 'a
wenzelm@53406
  1707
    fix y :: 'b
wenzelm@53406
  1708
    from KB Kp have "B * norm x * norm y \<le> ?K * norm x * norm y"
huffman@44133
  1709
      apply -
huffman@44133
  1710
      apply (rule mult_right_mono, rule mult_right_mono)
wenzelm@49522
  1711
      apply auto
wenzelm@49522
  1712
      done
huffman@44133
  1713
    then have "norm (h x y) \<le> ?K * norm x * norm y"
wenzelm@53406
  1714
      using B[rule_format, of x y] by simp
wenzelm@53406
  1715
  }
huffman@44133
  1716
  with Kp show ?thesis by blast
huffman@44133
  1717
qed
huffman@44133
  1718
huffman@44133
  1719
lemma bilinear_conv_bounded_bilinear:
huffman@44133
  1720
  fixes h :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space \<Rightarrow> 'c::real_normed_vector"
huffman@44133
  1721
  shows "bilinear h \<longleftrightarrow> bounded_bilinear h"
huffman@44133
  1722
proof
huffman@44133
  1723
  assume "bilinear h"
huffman@44133
  1724
  show "bounded_bilinear h"
huffman@44133
  1725
  proof
wenzelm@53406
  1726
    fix x y z
wenzelm@53406
  1727
    show "h (x + y) z = h x z + h y z"
huffman@44133
  1728
      using `bilinear h` unfolding bilinear_def linear_def by simp
huffman@44133
  1729
  next
wenzelm@53406
  1730
    fix x y z
wenzelm@53406
  1731
    show "h x (y + z) = h x y + h x z"
huffman@44133
  1732
      using `bilinear h` unfolding bilinear_def linear_def by simp
huffman@44133
  1733
  next
wenzelm@53406
  1734
    fix r x y
wenzelm@53406
  1735
    show "h (scaleR r x) y = scaleR r (h x y)"
huffman@44133
  1736
      using `bilinear h` unfolding bilinear_def linear_def
huffman@44133
  1737
      by simp
huffman@44133
  1738
  next
wenzelm@53406
  1739
    fix r x y
wenzelm@53406
  1740
    show "h x (scaleR r y) = scaleR r (h x y)"
huffman@44133
  1741
      using `bilinear h` unfolding bilinear_def linear_def
huffman@44133
  1742
      by simp
huffman@44133
  1743
  next
huffman@44133
  1744
    have "\<exists>B. \<forall>x y. norm (h x y) \<le> B * norm x * norm y"
huffman@44133
  1745
      using `bilinear h` by (rule bilinear_bounded)
wenzelm@49522
  1746
    then show "\<exists>K. \<forall>x y. norm (h x y) \<le> norm x * norm y * K"
huffman@44133
  1747
      by (simp add: mult_ac)
huffman@44133
  1748
  qed
huffman@44133
  1749
next
huffman@44133
  1750
  assume "bounded_bilinear h"
huffman@44133
  1751
  then interpret h: bounded_bilinear h .
huffman@44133
  1752
  show "bilinear h"
huffman@44133
  1753
    unfolding bilinear_def linear_conv_bounded_linear
wenzelm@49522
  1754
    using h.bounded_linear_left h.bounded_linear_right by simp
huffman@44133
  1755
qed
huffman@44133
  1756
wenzelm@49522
  1757
huffman@44133
  1758
subsection {* We continue. *}
huffman@44133
  1759
huffman@44133
  1760
lemma independent_bound:
huffman@44133
  1761
  fixes S:: "('a::euclidean_space) set"
hoelzl@50526
  1762
  shows "independent S \<Longrightarrow> finite S \<and> card S \<le> DIM('a::euclidean_space)"
hoelzl@50526
  1763
  using independent_span_bound[OF finite_Basis, of S] by auto
huffman@44133
  1764
wenzelm@49663
  1765
lemma dependent_biggerset:
wenzelm@53406
  1766
  "(finite (S::('a::euclidean_space) set) \<Longrightarrow> card S > DIM('a)) \<Longrightarrow> dependent S"
huffman@44133
  1767
  by (metis independent_bound not_less)
huffman@44133
  1768
huffman@44133
  1769
text {* Hence we can create a maximal independent subset. *}
huffman@44133
  1770
huffman@44133
  1771
lemma maximal_independent_subset_extend:
wenzelm@53406
  1772
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1773
  assumes sv: "S \<subseteq> V"
wenzelm@49663
  1774
    and iS: "independent S"
huffman@44133
  1775
  shows "\<exists>B. S \<subseteq> B \<and> B \<subseteq> V \<and> independent B \<and> V \<subseteq> span B"
huffman@44133
  1776
  using sv iS
wenzelm@49522
  1777
proof (induct "DIM('a) - card S" arbitrary: S rule: less_induct)
huffman@44133
  1778
  case less
huffman@44133
  1779
  note sv = `S \<subseteq> V` and i = `independent S`
huffman@44133
  1780
  let ?P = "\<lambda>B. S \<subseteq> B \<and> B \<subseteq> V \<and> independent B \<and> V \<subseteq> span B"
huffman@44133
  1781
  let ?ths = "\<exists>x. ?P x"
huffman@44133
  1782
  let ?d = "DIM('a)"
wenzelm@53406
  1783
  show ?ths
wenzelm@53406
  1784
  proof (cases "V \<subseteq> span S")
wenzelm@53406
  1785
    case True
wenzelm@53406
  1786
    then show ?thesis
wenzelm@53406
  1787
      using sv i by blast
wenzelm@53406
  1788
  next
wenzelm@53406
  1789
    case False
wenzelm@53406
  1790
    then obtain a where a: "a \<in> V" "a \<notin> span S"
wenzelm@53406
  1791
      by blast
wenzelm@53406
  1792
    from a have aS: "a \<notin> S"
wenzelm@53406
  1793
      by (auto simp add: span_superset)
wenzelm@53406
  1794
    have th0: "insert a S \<subseteq> V"
wenzelm@53406
  1795
      using a sv by blast
huffman@44133
  1796
    from independent_insert[of a S]  i a
wenzelm@53406
  1797
    have th1: "independent (insert a S)"
wenzelm@53406
  1798
      by auto
huffman@44133
  1799
    have mlt: "?d - card (insert a S) < ?d - card S"
wenzelm@49522
  1800
      using aS a independent_bound[OF th1] by auto
huffman@44133
  1801
huffman@44133
  1802
    from less(1)[OF mlt th0 th1]
huffman@44133
  1803
    obtain B where B: "insert a S \<subseteq> B" "B \<subseteq> V" "independent B" " V \<subseteq> span B"
huffman@44133
  1804
      by blast
huffman@44133
  1805
    from B have "?P B" by auto
wenzelm@53406
  1806
    then show ?thesis by blast
wenzelm@53406
  1807
  qed
huffman@44133
  1808
qed
huffman@44133
  1809
huffman@44133
  1810
lemma maximal_independent_subset:
huffman@44133
  1811
  "\<exists>(B:: ('a::euclidean_space) set). B\<subseteq> V \<and> independent B \<and> V \<subseteq> span B"
wenzelm@49522
  1812
  by (metis maximal_independent_subset_extend[of "{}:: ('a::euclidean_space) set"]
wenzelm@49522
  1813
    empty_subsetI independent_empty)
huffman@44133
  1814
huffman@44133
  1815
huffman@44133
  1816
text {* Notion of dimension. *}
huffman@44133
  1817
wenzelm@53406
  1818
definition "dim V = (SOME n. \<exists>B. B \<subseteq> V \<and> independent B \<and> V \<subseteq> span B \<and> card B = n)"
huffman@44133
  1819
wenzelm@49522
  1820
lemma basis_exists:
wenzelm@49522
  1821
  "\<exists>B. (B :: ('a::euclidean_space) set) \<subseteq> V \<and> independent B \<and> V \<subseteq> span B \<and> (card B = dim V)"
wenzelm@49522
  1822
  unfolding dim_def some_eq_ex[of "\<lambda>n. \<exists>B. B \<subseteq> V \<and> independent B \<and> V \<subseteq> span B \<and> (card B = n)"]
wenzelm@49522
  1823
  using maximal_independent_subset[of V] independent_bound
wenzelm@49522
  1824
  by auto
huffman@44133
  1825
huffman@44133
  1826
text {* Consequences of independence or spanning for cardinality. *}
huffman@44133
  1827
wenzelm@53406
  1828
lemma independent_card_le_dim:
wenzelm@53406
  1829
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  1830
  assumes "B \<subseteq> V"
wenzelm@53406
  1831
    and "independent B"
wenzelm@49522
  1832
  shows "card B \<le> dim V"
huffman@44133
  1833
proof -
huffman@44133
  1834
  from basis_exists[of V] `B \<subseteq> V`
wenzelm@53406
  1835
  obtain B' where "independent B'"
wenzelm@53406
  1836
    and "B \<subseteq> span B'"
wenzelm@53406
  1837
    and "card B' = dim V"
wenzelm@53406
  1838
    by blast
huffman@44133
  1839
  with independent_span_bound[OF _ `independent B` `B \<subseteq> span B'`] independent_bound[of B']
huffman@44133
  1840
  show ?thesis by auto
huffman@44133
  1841
qed
huffman@44133
  1842
wenzelm@49522
  1843
lemma span_card_ge_dim:
wenzelm@53406
  1844
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  1845
  shows "B \<subseteq> V \<Longrightarrow> V \<subseteq> span B \<Longrightarrow> finite B \<Longrightarrow> dim V \<le> card B"
huffman@44133
  1846
  by (metis basis_exists[of V] independent_span_bound subset_trans)
huffman@44133
  1847
huffman@44133
  1848
lemma basis_card_eq_dim:
wenzelm@53406
  1849
  fixes V :: "'a::euclidean_space set"
wenzelm@53406
  1850
  shows "B \<subseteq> V \<Longrightarrow> V \<subseteq> span B \<Longrightarrow> independent B \<Longrightarrow> finite B \<and> card B = dim V"
huffman@44133
  1851
  by (metis order_eq_iff independent_card_le_dim span_card_ge_dim independent_bound)
huffman@44133
  1852
wenzelm@53406
  1853
lemma dim_unique:
wenzelm@53406
  1854
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  1855
  shows "B \<subseteq> V \<Longrightarrow> V \<subseteq> span B \<Longrightarrow> independent B \<Longrightarrow> card B = n \<Longrightarrow> dim V = n"
huffman@44133
  1856
  by (metis basis_card_eq_dim)
huffman@44133
  1857
huffman@44133
  1858
text {* More lemmas about dimension. *}
huffman@44133
  1859
wenzelm@53406
  1860
lemma dim_UNIV: "dim (UNIV :: 'a::euclidean_space set) = DIM('a)"
hoelzl@50526
  1861
  using independent_Basis
hoelzl@50526
  1862
  by (intro dim_unique[of Basis]) auto
huffman@44133
  1863
huffman@44133
  1864
lemma dim_subset:
wenzelm@53406
  1865
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1866
  shows "S \<subseteq> T \<Longrightarrow> dim S \<le> dim T"
huffman@44133
  1867
  using basis_exists[of T] basis_exists[of S]
huffman@44133
  1868
  by (metis independent_card_le_dim subset_trans)
huffman@44133
  1869
wenzelm@53406
  1870
lemma dim_subset_UNIV:
wenzelm@53406
  1871
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1872
  shows "dim S \<le> DIM('a)"
huffman@44133
  1873
  by (metis dim_subset subset_UNIV dim_UNIV)
huffman@44133
  1874
huffman@44133
  1875
text {* Converses to those. *}
huffman@44133
  1876
huffman@44133
  1877
lemma card_ge_dim_independent:
wenzelm@53406
  1878
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  1879
  assumes BV: "B \<subseteq> V"
wenzelm@53406
  1880
    and iB: "independent B"
wenzelm@53406
  1881
    and dVB: "dim V \<le> card B"
huffman@44133
  1882
  shows "V \<subseteq> span B"
wenzelm@53406
  1883
proof
wenzelm@53406
  1884
  fix a
wenzelm@53406
  1885
  assume aV: "a \<in> V"
wenzelm@53406
  1886
  {
wenzelm@53406
  1887
    assume aB: "a \<notin> span B"
wenzelm@53406
  1888
    then have iaB: "independent (insert a B)"
wenzelm@53406
  1889
      using iB aV BV by (simp add: independent_insert)
wenzelm@53406
  1890
    from aV BV have th0: "insert a B \<subseteq> V"
wenzelm@53406
  1891
      by blast
wenzelm@53406
  1892
    from aB have "a \<notin>B"
wenzelm@53406
  1893
      by (auto simp add: span_superset)
wenzelm@53406
  1894
    with independent_card_le_dim[OF th0 iaB] dVB independent_bound[OF iB]
wenzelm@53406
  1895
    have False by auto
wenzelm@53406
  1896
  }
wenzelm@53406
  1897
  then show "a \<in> span B" by blast
huffman@44133
  1898
qed
huffman@44133
  1899
huffman@44133
  1900
lemma card_le_dim_spanning:
wenzelm@49663
  1901
  assumes BV: "(B:: ('a::euclidean_space) set) \<subseteq> V"
wenzelm@49663
  1902
    and VB: "V \<subseteq> span B"
wenzelm@49663
  1903
    and fB: "finite B"
wenzelm@49663
  1904
    and dVB: "dim V \<ge> card B"
huffman@44133
  1905
  shows "independent B"
wenzelm@49522
  1906
proof -
wenzelm@53406
  1907
  {
wenzelm@53406
  1908
    fix a
wenzelm@53406
  1909
    assume a: "a \<in> B" "a \<in> span (B -{a})"
wenzelm@53406
  1910
    from a fB have c0: "card B \<noteq> 0"
wenzelm@53406
  1911
      by auto
wenzelm@53406
  1912
    from a fB have cb: "card (B -{a}) = card B - 1"
wenzelm@53406
  1913
      by auto
wenzelm@53406
  1914
    from BV a have th0: "B -{a} \<subseteq> V"
wenzelm@53406
  1915
      by blast
wenzelm@53406
  1916
    {
wenzelm@53406
  1917
      fix x
wenzelm@53406
  1918
      assume x: "x \<in> V"
wenzelm@53406
  1919
      from a have eq: "insert a (B -{a}) = B"
wenzelm@53406
  1920
        by blast
wenzelm@53406
  1921
      from x VB have x': "x \<in> span B"
wenzelm@53406
  1922
        by blast
huffman@44133
  1923
      from span_trans[OF a(2), unfolded eq, OF x']
wenzelm@53406
  1924
      have "x \<in> span (B -{a})" .
wenzelm@53406
  1925
    }
wenzelm@53406
  1926
    then have th1: "V \<subseteq> span (B -{a})"
wenzelm@53406
  1927
      by blast
wenzelm@53406
  1928
    have th2: "finite (B -{a})"
wenzelm@53406
  1929
      using fB by auto
huffman@44133
  1930
    from span_card_ge_dim[OF th0 th1 th2]
huffman@44133
  1931
    have c: "dim V \<le> card (B -{a})" .
wenzelm@53406
  1932
    from c c0 dVB cb have False by simp
wenzelm@53406
  1933
  }
wenzelm@53406
  1934
  then show ?thesis
wenzelm@53406
  1935
    unfolding dependent_def by blast
huffman@44133
  1936
qed
huffman@44133
  1937
wenzelm@53406
  1938
lemma card_eq_dim:
wenzelm@53406
  1939
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  1940
  shows "B \<subseteq> V \<Longrightarrow> card B = dim V \<Longrightarrow> finite B \<Longrightarrow> independent B \<longleftrightarrow> V \<subseteq> span B"
wenzelm@49522
  1941
  by (metis order_eq_iff card_le_dim_spanning card_ge_dim_independent)
huffman@44133
  1942
huffman@44133
  1943
text {* More general size bound lemmas. *}
huffman@44133
  1944
huffman@44133
  1945
lemma independent_bound_general:
wenzelm@53406
  1946
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1947
  shows "independent S \<Longrightarrow> finite S \<and> card S \<le> dim S"
huffman@44133
  1948
  by (metis independent_card_le_dim independent_bound subset_refl)
huffman@44133
  1949
wenzelm@49522
  1950
lemma dependent_biggerset_general:
wenzelm@53406
  1951
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1952
  shows "(finite S \<Longrightarrow> card S > dim S) \<Longrightarrow> dependent S"
huffman@44133
  1953
  using independent_bound_general[of S] by (metis linorder_not_le)
huffman@44133
  1954
wenzelm@53406
  1955
lemma dim_span:
wenzelm@53406
  1956
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1957
  shows "dim (span S) = dim S"
wenzelm@49522
  1958
proof -
huffman@44133
  1959
  have th0: "dim S \<le> dim (span S)"
huffman@44133
  1960
    by (auto simp add: subset_eq intro: dim_subset span_superset)
huffman@44133
  1961
  from basis_exists[of S]
wenzelm@53406
  1962
  obtain B where B: "B \<subseteq> S" "independent B" "S \<subseteq> span B" "card B = dim S"
wenzelm@53406
  1963
    by blast
wenzelm@53406
  1964
  from B have fB: "finite B" "card B = dim S"
wenzelm@53406
  1965
    using independent_bound by blast+
wenzelm@53406
  1966
  have bSS: "B \<subseteq> span S"
wenzelm@53406
  1967
    using B(1) by (metis subset_eq span_inc)
wenzelm@53406
  1968
  have sssB: "span S \<subseteq> span B"
wenzelm@53406
  1969
    using span_mono[OF B(3)] by (simp add: span_span)
huffman@44133
  1970
  from span_card_ge_dim[OF bSS sssB fB(1)] th0 show ?thesis
wenzelm@49522
  1971
    using fB(2) by arith
huffman@44133
  1972
qed
huffman@44133
  1973
wenzelm@53406
  1974
lemma subset_le_dim:
wenzelm@53406
  1975
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  1976
  shows "S \<subseteq> span T \<Longrightarrow> dim S \<le> dim T"
huffman@44133
  1977
  by (metis dim_span dim_subset)
huffman@44133
  1978
wenzelm@53406
  1979
lemma span_eq_dim:
wenzelm@53406
  1980
  fixes S:: "'a::euclidean_space set"
wenzelm@53406
  1981
  shows "span S = span T \<Longrightarrow> dim S = dim T"
huffman@44133
  1982
  by (metis dim_span)
huffman@44133
  1983
huffman@44133
  1984
lemma spans_image:
wenzelm@49663
  1985
  assumes lf: "linear f"
wenzelm@49663
  1986
    and VB: "V \<subseteq> span B"
huffman@44133
  1987
  shows "f ` V \<subseteq> span (f ` B)"
wenzelm@49522
  1988
  unfolding span_linear_image[OF lf] by (metis VB image_mono)
huffman@44133
  1989
huffman@44133
  1990
lemma dim_image_le:
huffman@44133
  1991
  fixes f :: "'a::euclidean_space \<Rightarrow> 'b::euclidean_space"
wenzelm@49663
  1992
  assumes lf: "linear f"
wenzelm@49663
  1993
  shows "dim (f ` S) \<le> dim (S)"
wenzelm@49522
  1994
proof -
huffman@44133
  1995
  from basis_exists[of S] obtain B where
huffman@44133
  1996
    B: "B \<subseteq> S" "independent B" "S \<subseteq> span B" "card B = dim S" by blast
wenzelm@53406
  1997
  from B have fB: "finite B" "card B = dim S"
wenzelm@53406
  1998
    using independent_bound by blast+
huffman@44133
  1999
  have "dim (f ` S) \<le> card (f ` B)"
huffman@44133
  2000
    apply (rule span_card_ge_dim)
wenzelm@53406
  2001
    using lf B fB
wenzelm@53406
  2002
    apply (auto simp add: span_linear_image spans_image subset_image_iff)
wenzelm@49522
  2003
    done
wenzelm@53406
  2004
  also have "\<dots> \<le> dim S"
wenzelm@53406
  2005
    using card_image_le[OF fB(1)] fB by simp
huffman@44133
  2006
  finally show ?thesis .
huffman@44133
  2007
qed
huffman@44133
  2008
huffman@44133
  2009
text {* Relation between bases and injectivity/surjectivity of map. *}
huffman@44133
  2010
huffman@44133
  2011
lemma spanning_surjective_image:
huffman@44133
  2012
  assumes us: "UNIV \<subseteq> span S"
wenzelm@53406
  2013
    and lf: "linear f"
wenzelm@53406
  2014
    and sf: "surj f"
huffman@44133
  2015
  shows "UNIV \<subseteq> span (f ` S)"
wenzelm@49663
  2016
proof -
wenzelm@53406
  2017
  have "UNIV \<subseteq> f ` UNIV"
wenzelm@53406
  2018
    using sf by (auto simp add: surj_def)
wenzelm@53406
  2019
  also have " \<dots> \<subseteq> span (f ` S)"
wenzelm@53406
  2020
    using spans_image[OF lf us] .
wenzelm@53406
  2021
  finally show ?thesis .
huffman@44133
  2022
qed
huffman@44133
  2023
huffman@44133
  2024
lemma independent_injective_image:
wenzelm@49663
  2025
  assumes iS: "independent S"
wenzelm@49663
  2026
    and lf: "linear f"
wenzelm@49663
  2027
    and fi: "inj f"
huffman@44133
  2028
  shows "independent (f ` S)"
wenzelm@49663
  2029
proof -
wenzelm@53406
  2030
  {
wenzelm@53406
  2031
    fix a
wenzelm@49663
  2032
    assume a: "a \<in> S" "f a \<in> span (f ` S - {f a})"
wenzelm@53406
  2033
    have eq: "f ` S - {f a} = f ` (S - {a})"
wenzelm@53406
  2034
      using fi by (auto simp add: inj_on_def)
huffman@44133
  2035
    from a have "f a \<in> f ` span (S -{a})"
wenzelm@53406
  2036
      unfolding eq span_linear_image[OF lf, of "S - {a}"] by blast
wenzelm@53406
  2037
    then have "a \<in> span (S -{a})"
wenzelm@53406
  2038
      using fi by (auto simp add: inj_on_def)
wenzelm@53406
  2039
    with a(1) iS have False
wenzelm@53406
  2040
      by (simp add: dependent_def)
wenzelm@53406
  2041
  }
wenzelm@53406
  2042
  then show ?thesis
wenzelm@53406
  2043
    unfolding dependent_def by blast
huffman@44133
  2044
qed
huffman@44133
  2045
huffman@44133
  2046
text {* Picking an orthogonal replacement for a spanning set. *}
huffman@44133
  2047
wenzelm@53406
  2048
(* FIXME : Move to some general theory ?*)
huffman@44133
  2049
definition "pairwise R S \<longleftrightarrow> (\<forall>x \<in> S. \<forall>y\<in> S. x\<noteq>y \<longrightarrow> R x y)"
huffman@44133
  2050
wenzelm@53406
  2051
lemma vector_sub_project_orthogonal:
wenzelm@53406
  2052
  fixes b x :: "'a::euclidean_space"
wenzelm@53406
  2053
  shows "b \<bullet> (x - ((b \<bullet> x) / (b \<bullet> b)) *\<^sub>R b) = 0"
huffman@44133
  2054
  unfolding inner_simps by auto
huffman@44133
  2055
huffman@44528
  2056
lemma pairwise_orthogonal_insert:
huffman@44528
  2057
  assumes "pairwise orthogonal S"
wenzelm@49522
  2058
    and "\<And>y. y \<in> S \<Longrightarrow> orthogonal x y"
huffman@44528
  2059
  shows "pairwise orthogonal (insert x S)"
huffman@44528
  2060
  using assms unfolding pairwise_def
huffman@44528
  2061
  by (auto simp add: orthogonal_commute)
huffman@44528
  2062
huffman@44133
  2063
lemma basis_orthogonal:
wenzelm@53406
  2064
  fixes B :: "'a::real_inner set"
huffman@44133
  2065
  assumes fB: "finite B"
huffman@44133
  2066
  shows "\<exists>C. finite C \<and> card C \<le> card B \<and> span C = span B \<and> pairwise orthogonal C"
huffman@44133
  2067
  (is " \<exists>C. ?P B C")
wenzelm@49522
  2068
  using fB
wenzelm@49522
  2069
proof (induct rule: finite_induct)
wenzelm@49522
  2070
  case empty
wenzelm@53406
  2071
  then show ?case
wenzelm@53406
  2072
    apply (rule exI[where x="{}"])
wenzelm@53406
  2073
    apply (auto simp add: pairwise_def)
wenzelm@53406
  2074
    done
huffman@44133
  2075
next
wenzelm@49522
  2076
  case (insert a B)
huffman@44133
  2077
  note fB = `finite B` and aB = `a \<notin> B`
huffman@44133
  2078
  from `\<exists>C. finite C \<and> card C \<le> card B \<and> span C = span B \<and> pairwise orthogonal C`
huffman@44133
  2079
  obtain C where C: "finite C" "card C \<le> card B"
huffman@44133
  2080
    "span C = span B" "pairwise orthogonal C" by blast
huffman@44133
  2081
  let ?a = "a - setsum (\<lambda>x. (x \<bullet> a / (x \<bullet> x)) *\<^sub>R x) C"
huffman@44133
  2082
  let ?C = "insert ?a C"
wenzelm@53406
  2083
  from C(1) have fC: "finite ?C"
wenzelm@53406
  2084
    by simp
wenzelm@49522
  2085
  from fB aB C(1,2) have cC: "card ?C \<le> card (insert a B)"
wenzelm@49522
  2086
    by (simp add: card_insert_if)
wenzelm@53406
  2087
  {
wenzelm@53406
  2088
    fix x k
wenzelm@49522
  2089
    have th0: "\<And>(a::'a) b c. a - (b - c) = c + (a - b)"
wenzelm@49522
  2090
      by (simp add: field_simps)
huffman@44133
  2091
    have "x - k *\<^sub>R (a - (\<Sum>x\<in>C. (x \<bullet> a / (x \<bullet> x)) *\<^sub>R x)) \<in> span C \<longleftrightarrow> x - k *\<^sub>R a \<in> span C"
huffman@44133
  2092
      apply (simp only: scaleR_right_diff_distrib th0)
huffman@44133
  2093
      apply (rule span_add_eq)
huffman@44133
  2094
      apply (rule span_mul)
huffman@44133
  2095
      apply (rule span_setsum[OF C(1)])
huffman@44133
  2096
      apply clarify
huffman@44133
  2097
      apply (rule span_mul)
wenzelm@49522
  2098
      apply (rule span_superset)
wenzelm@49522
  2099
      apply assumption
wenzelm@53406
  2100
      done
wenzelm@53406
  2101
  }
huffman@44133
  2102
  then have SC: "span ?C = span (insert a B)"
huffman@44133
  2103
    unfolding set_eq_iff span_breakdown_eq C(3)[symmetric] by auto
wenzelm@53406
  2104
  {
wenzelm@53406
  2105
    fix y
wenzelm@53406
  2106
    assume yC: "y \<in> C"
wenzelm@53406
  2107
    then have Cy: "C = insert y (C - {y})"
wenzelm@53406
  2108
      by blast
wenzelm@53406
  2109
    have fth: "finite (C - {y})"
wenzelm@53406
  2110
      using C by simp
huffman@44528
  2111
    have "orthogonal ?a y"
huffman@44528
  2112
      unfolding orthogonal_def
huffman@44528
  2113
      unfolding inner_diff inner_setsum_left diff_eq_0_iff_eq
huffman@44528
  2114
      unfolding setsum_diff1' [OF `finite C` `y \<in> C`]
huffman@44528
  2115
      apply (clarsimp simp add: inner_commute[of y a])
huffman@44528
  2116
      apply (rule setsum_0')
huffman@44528
  2117
      apply clarsimp
huffman@44528
  2118
      apply (rule C(4)[unfolded pairwise_def orthogonal_def, rule_format])
wenzelm@53406
  2119
      using `y \<in> C` by auto
wenzelm@53406
  2120
  }
huffman@44528
  2121
  with `pairwise orthogonal C` have CPO: "pairwise orthogonal ?C"
huffman@44528
  2122
    by (rule pairwise_orthogonal_insert)
wenzelm@53406
  2123
  from fC cC SC CPO have "?P (insert a B) ?C"
wenzelm@53406
  2124
    by blast
huffman@44133
  2125
  then show ?case by blast
huffman@44133
  2126
qed
huffman@44133
  2127
huffman@44133
  2128
lemma orthogonal_basis_exists:
huffman@44133
  2129
  fixes V :: "('a::euclidean_space) set"
huffman@44133
  2130
  shows "\<exists>B. independent B \<and> B \<subseteq> span V \<and> V \<subseteq> span B \<and> (card B = dim V) \<and> pairwise orthogonal B"
wenzelm@49663
  2131
proof -
wenzelm@49522
  2132
  from basis_exists[of V] obtain B where
wenzelm@53406
  2133
    B: "B \<subseteq> V" "independent B" "V \<subseteq> span B" "card B = dim V"
wenzelm@53406
  2134
    by blast
wenzelm@53406
  2135
  from B have fB: "finite B" "card B = dim V"
wenzelm@53406
  2136
    using independent_bound by auto
huffman@44133
  2137
  from basis_orthogonal[OF fB(1)] obtain C where
wenzelm@53406
  2138
    C: "finite C" "card C \<le> card B" "span C = span B" "pairwise orthogonal C"
wenzelm@53406
  2139
    by blast
wenzelm@53406
  2140
  from C B have CSV: "C \<subseteq> span V"
wenzelm@53406
  2141
    by (metis span_inc span_mono subset_trans)
wenzelm@53406
  2142
  from span_mono[OF B(3)] C have SVC: "span V \<subseteq> span C"
wenzelm@53406
  2143
    by (simp add: span_span)
huffman@44133
  2144
  from card_le_dim_spanning[OF CSV SVC C(1)] C(2,3) fB
wenzelm@53406
  2145
  have iC: "independent C"
huffman@44133
  2146
    by (simp add: dim_span)
wenzelm@53406
  2147
  from C fB have "card C \<le> dim V"
wenzelm@53406
  2148
    by simp
wenzelm@53406
  2149
  moreover have "dim V \<le> card C"
wenzelm@53406
  2150
    using span_card_ge_dim[OF CSV SVC C(1)]
wenzelm@53406
  2151
    by (simp add: dim_span)
wenzelm@53406
  2152
  ultimately have CdV: "card C = dim V"
wenzelm@53406
  2153
    using C(1) by simp
wenzelm@53406
  2154
  from C B CSV CdV iC show ?thesis
wenzelm@53406
  2155
    by auto
huffman@44133
  2156
qed
huffman@44133
  2157
huffman@44133
  2158
lemma span_eq: "span S = span T \<longleftrightarrow> S \<subseteq> span T \<and> T \<subseteq> span S"
huffman@44133
  2159
  using span_inc[unfolded subset_eq] using span_mono[of T "span S"] span_mono[of S "span T"]
wenzelm@49522
  2160
  by (auto simp add: span_span)
huffman@44133
  2161
huffman@44133
  2162
text {* Low-dimensional subset is in a hyperplane (weak orthogonal complement). *}
huffman@44133
  2163
wenzelm@49522
  2164
lemma span_not_univ_orthogonal:
wenzelm@53406
  2165
  fixes S :: "'a::euclidean_space set"
huffman@44133
  2166
  assumes sU: "span S \<noteq> UNIV"
huffman@44133
  2167
  shows "\<exists>(a::'a). a \<noteq>0 \<and> (\<forall>x \<in> span S. a \<bullet> x = 0)"
wenzelm@49522
  2168
proof -
wenzelm@53406
  2169
  from sU obtain a where a: "a \<notin> span S"
wenzelm@53406
  2170
    by blast
huffman@44133
  2171
  from orthogonal_basis_exists obtain B where
huffman@44133
  2172
    B: "independent B" "B \<subseteq> span S" "S \<subseteq> span B" "card B = dim S" "pairwise orthogonal B"
huffman@44133
  2173
    by blast
wenzelm@53406
  2174
  from B have fB: "finite B" "card B = dim S"
wenzelm@53406
  2175
    using independent_bound by auto
huffman@44133
  2176
  from span_mono[OF B(2)] span_mono[OF B(3)]
wenzelm@53406
  2177
  have sSB: "span S = span B"
wenzelm@53406
  2178
    by (simp add: span_span)
huffman@44133
  2179
  let ?a = "a - setsum (\<lambda>b. (a \<bullet> b / (b \<bullet> b)) *\<^sub>R b) B"
huffman@44133
  2180
  have "setsum (\<lambda>b. (a \<bullet> b / (b \<bullet> b)) *\<^sub>R b) B \<in> span S"
huffman@44133
  2181
    unfolding sSB
huffman@44133
  2182
    apply (rule span_setsum[OF fB(1)])
huffman@44133
  2183
    apply clarsimp
huffman@44133
  2184
    apply (rule span_mul)
wenzelm@49522
  2185
    apply (rule span_superset)
wenzelm@49522
  2186
    apply assumption
wenzelm@49522
  2187
    done
wenzelm@53406
  2188
  with a have a0:"?a  \<noteq> 0"
wenzelm@53406
  2189
    by auto
huffman@44133
  2190
  have "\<forall>x\<in>span B. ?a \<bullet> x = 0"
wenzelm@49522
  2191
  proof (rule span_induct')
wenzelm@49522
  2192
    show "subspace {x. ?a \<bullet> x = 0}"
wenzelm@49522
  2193
      by (auto simp add: subspace_def inner_add)
wenzelm@49522
  2194
  next
wenzelm@53406
  2195
    {
wenzelm@53406
  2196
      fix x
wenzelm@53406
  2197
      assume x: "x \<in> B"
wenzelm@53406
  2198
      from x have B': "B = insert x (B - {x})"
wenzelm@53406
  2199
        by blast
wenzelm@53406
  2200
      have fth: "finite (B - {x})"
wenzelm@53406
  2201
        using fB by simp
huffman@44133
  2202
      have "?a \<bullet> x = 0"
wenzelm@53406
  2203
        apply (subst B')
wenzelm@53406
  2204
        using fB fth
huffman@44133
  2205
        unfolding setsum_clauses(2)[OF fth]
huffman@44133
  2206
        apply simp unfolding inner_simps
huffman@44527
  2207
        apply (clarsimp simp add: inner_add inner_setsum_left)
huffman@44133
  2208
        apply (rule setsum_0', rule ballI)
huffman@44133
  2209
        unfolding inner_commute
wenzelm@49711
  2210
        apply (auto simp add: x field_simps
wenzelm@49711
  2211
          intro: B(5)[unfolded pairwise_def orthogonal_def, rule_format])
wenzelm@53406
  2212
        done
wenzelm@53406
  2213
    }
wenzelm@53406
  2214
    then show "\<forall>x \<in> B. ?a \<bullet> x = 0"
wenzelm@53406
  2215
      by blast
huffman@44133
  2216
  qed
wenzelm@53406
  2217
  with a0 show ?thesis
wenzelm@53406
  2218
    unfolding sSB by (auto intro: exI[where x="?a"])
huffman@44133
  2219
qed
huffman@44133
  2220
huffman@44133
  2221
lemma span_not_univ_subset_hyperplane:
wenzelm@53406
  2222
  fixes S :: "'a::euclidean_space set"
wenzelm@53406
  2223
  assumes SU: "span S \<noteq> UNIV"
huffman@44133
  2224
  shows "\<exists> a. a \<noteq>0 \<and> span S \<subseteq> {x. a \<bullet> x = 0}"
huffman@44133
  2225
  using span_not_univ_orthogonal[OF SU] by auto
huffman@44133
  2226
wenzelm@49663
  2227
lemma lowdim_subset_hyperplane:
wenzelm@53406
  2228
  fixes S :: "'a::euclidean_space set"
huffman@44133
  2229
  assumes d: "dim S < DIM('a)"
huffman@44133
  2230
  shows "\<exists>(a::'a). a  \<noteq> 0 \<and> span S \<subseteq> {x. a \<bullet> x = 0}"
wenzelm@49522
  2231
proof -
wenzelm@53406
  2232
  {
wenzelm@53406
  2233
    assume "span S = UNIV"
wenzelm@53406
  2234
    then have "dim (span S) = dim (UNIV :: ('a) set)"
wenzelm@53406
  2235
      by simp
wenzelm@53406
  2236
    then have "dim S = DIM('a)"
wenzelm@53406
  2237
      by (simp add: dim_span dim_UNIV)
wenzelm@53406
  2238
    with d have False by arith
wenzelm@53406
  2239
  }
wenzelm@53406
  2240
  then have th: "span S \<noteq> UNIV"
wenzelm@53406
  2241
    by blast
huffman@44133
  2242
  from span_not_univ_subset_hyperplane[OF th] show ?thesis .
huffman@44133
  2243
qed
huffman@44133
  2244
huffman@44133
  2245
text {* We can extend a linear basis-basis injection to the whole set. *}
huffman@44133
  2246
huffman@44133
  2247
lemma linear_indep_image_lemma:
wenzelm@49663
  2248
  assumes lf: "linear f"
wenzelm@49663
  2249
    and fB: "finite B"
wenzelm@49522
  2250
    and ifB: "independent (f ` B)"
wenzelm@49663
  2251
    and fi: "inj_on f B"
wenzelm@49663
  2252
    and xsB: "x \<in> span B"
wenzelm@49522
  2253
    and fx: "f x = 0"
huffman@44133
  2254
  shows "x = 0"
huffman@44133
  2255
  using fB ifB fi xsB fx
wenzelm@49522
  2256
proof (induct arbitrary: x rule: finite_induct[OF fB])
wenzelm@49663
  2257
  case 1
wenzelm@49663
  2258
  then show ?case by auto
huffman@44133
  2259
next
huffman@44133
  2260
  case (2 a b x)
huffman@44133
  2261
  have fb: "finite b" using "2.prems" by simp
huffman@44133
  2262
  have th0: "f ` b \<subseteq> f ` (insert a b)"
wenzelm@53406
  2263
    apply (rule image_mono)
wenzelm@53406
  2264
    apply blast
wenzelm@53406
  2265
    done
huffman@44133
  2266
  from independent_mono[ OF "2.prems"(2) th0]
huffman@44133
  2267
  have ifb: "independent (f ` b)"  .
huffman@44133
  2268
  have fib: "inj_on f b"
huffman@44133
  2269
    apply (rule subset_inj_on [OF "2.prems"(3)])
wenzelm@49522
  2270
    apply blast
wenzelm@49522
  2271
    done
huffman@44133
  2272
  from span_breakdown[of a "insert a b", simplified, OF "2.prems"(4)]
wenzelm@53406
  2273
  obtain k where k: "x - k*\<^sub>R a \<in> span (b - {a})"
wenzelm@53406
  2274
    by blast
huffman@44133
  2275
  have "f (x - k*\<^sub>R a) \<in> span (f ` b)"
huffman@44133
  2276
    unfolding span_linear_image[OF lf]
huffman@44133
  2277
    apply (rule imageI)
wenzelm@53406
  2278
    using k span_mono[of "b-{a}" b]
wenzelm@53406
  2279
    apply blast
wenzelm@49522
  2280
    done
wenzelm@49522
  2281
  then have "f x - k*\<^sub>R f a \<in> span (f ` b)"
huffman@44133
  2282
    by (simp add: linear_sub[OF lf] linear_cmul[OF lf])
wenzelm@49522
  2283
  then have th: "-k *\<^sub>R f a \<in> span (f ` b)"
huffman@44133
  2284
    using "2.prems"(5) by simp
wenzelm@53406
  2285
  have xsb: "x \<in> span b"
wenzelm@53406
  2286
  proof (cases "k = 0")
wenzelm@53406
  2287
    case True
wenzelm@53406
  2288
    with k have "x \<in> span (b -{a})" by simp
wenzelm@53406
  2289
    then show ?thesis using span_mono[of "b-{a}" b]
wenzelm@53406
  2290
      by blast
wenzelm@53406
  2291
  next
wenzelm@53406
  2292
    case False
wenzelm@53406
  2293
    with span_mul[OF th, of "- 1/ k"]
huffman@44133
  2294
    have th1: "f a \<in> span (f ` b)"
huffman@44133
  2295
      by auto
huffman@44133
  2296
    from inj_on_image_set_diff[OF "2.prems"(3), of "insert a b " "{a}", symmetric]
huffman@44133
  2297
    have tha: "f ` insert a b - f ` {a} = f ` (insert a b - {a})" by blast
huffman@44133
  2298
    from "2.prems"(2) [unfolded dependent_def bex_simps(8), rule_format, of "f a"]
huffman@44133
  2299
    have "f a \<notin> span (f ` b)" using tha
huffman@44133
  2300
      using "2.hyps"(2)
huffman@44133
  2301
      "2.prems"(3) by auto
huffman@44133
  2302
    with th1 have False by blast
wenzelm@53406
  2303
    then show ?thesis by blast
wenzelm@53406
  2304
  qed
wenzelm@53406
  2305
  from "2.hyps"(3)[OF fb ifb fib xsb "2.prems"(5)] show "x = 0" .
huffman@44133
  2306
qed
huffman@44133
  2307
huffman@44133
  2308
text {* We can extend a linear mapping from basis. *}
huffman@44133
  2309
huffman@44133
  2310
lemma linear_independent_extend_lemma:
huffman@44133
  2311
  fixes f :: "'a::real_vector \<Rightarrow> 'b::real_vector"
wenzelm@53406
  2312
  assumes fi: "finite B"
wenzelm@53406
  2313
    and ib: "independent B"
wenzelm@53406
  2314
  shows "\<exists>g.
wenzelm@53406
  2315
    (\<forall>x\<in> span B. \<forall>y\<in> span B. g (x + y) = g x + g y) \<and>
wenzelm@53406
  2316
    (\<forall>x\<in> span B. \<forall>c. g (c*\<^sub>R x) = c *\<^sub>R g x) \<and>
wenzelm@53406
  2317
    (\<forall>x\<in> B. g x = f x)"
wenzelm@49663
  2318
  using ib fi
wenzelm@49522
  2319
proof (induct rule: finite_induct[OF fi])
wenzelm@49663
  2320
  case 1
wenzelm@49663
  2321
  then show ?case by auto
huffman@44133
  2322
next
huffman@44133
  2323
  case (2 a b)
huffman@44133
  2324
  from "2.prems" "2.hyps" have ibf: "independent b" "finite b"
huffman@44133
  2325
    by (simp_all add: independent_insert)
huffman@44133
  2326
  from "2.hyps"(3)[OF ibf] obtain g where
huffman@44133
  2327
    g: "\<forall>x\<in>span b. \<forall>y\<in>span b. g (x + y) = g x + g y"
huffman@44133
  2328
    "\<forall>x\<in>span b. \<forall>c. g (c *\<^sub>R x) = c *\<^sub>R g x" "\<forall>x\<in>b. g x = f x" by blast
huffman@44133
  2329
  let ?h = "\<lambda>z. SOME k. (z - k *\<^sub>R a) \<in> span b"
wenzelm@53406
  2330
  {
wenzelm@53406
  2331
    fix z
wenzelm@53406
  2332
    assume z: "z \<in> span (insert a b)"
huffman@44133
  2333
    have th0: "z - ?h z *\<^sub>R a \<in> span b"
huffman@44133
  2334
      apply (rule someI_ex)
huffman@44133
  2335
      unfolding span_breakdown_eq[symmetric]
wenzelm@53406
  2336
      apply (rule z)
wenzelm@53406
  2337
      done
wenzelm@53406
  2338
    {
wenzelm@53406
  2339
      fix k
wenzelm@53406
  2340
      assume k: "z - k *\<^sub>R a \<in> span b"
huffman@44133
  2341
      have eq: "z - ?h z *\<^sub>R a - (z - k*\<^sub>R a) = (k - ?h z) *\<^sub>R a"
huffman@44133
  2342
        by (simp add: field_simps scaleR_left_distrib [symmetric])
wenzelm@53406
  2343
      from span_sub[OF th0 k] have khz: "(k - ?h z) *\<^sub>R a \<in> span b"
wenzelm@53406
  2344
        by (simp add: eq)
wenzelm@53406
  2345
      {
wenzelm@53406
  2346
        assume "k \<noteq> ?h z"
wenzelm@53406
  2347
        then have k0: "k - ?h z \<noteq> 0" by simp
huffman@44133
  2348
        from k0 span_mul[OF khz, of "1 /(k - ?h z)"]
huffman@44133
  2349
        have "a \<in> span b" by simp
huffman@44133
  2350
        with "2.prems"(1) "2.hyps"(2) have False
wenzelm@53406
  2351
          by (auto simp add: dependent_def)
wenzelm@53406
  2352
      }
wenzelm@53406
  2353
      then have "k = ?h z" by blast
wenzelm@53406
  2354
    }
wenzelm@53406
  2355
    with th0 have "z - ?h z *\<^sub>R a \<in> span b \<and> (\<forall>k. z - k *\<^sub>R a \<in> span b \<longrightarrow> k = ?h z)"
wenzelm@53406
  2356
      by blast
wenzelm@53406
  2357
  }
huffman@44133
  2358
  note h = this
huffman@44133
  2359
  let ?g = "\<lambda>z. ?h z *\<^sub>R f a + g (z - ?h z *\<^sub>R a)"
wenzelm@53406
  2360
  {
wenzelm@53406
  2361
    fix x y
wenzelm@53406
  2362
    assume x: "x \<in> span (insert a b)"
wenzelm@53406
  2363
      and y: "y \<in> span (insert a b)"
huffman@44133
  2364
    have tha: "\<And>(x::'a) y a k l. (x + y) - (k + l) *\<^sub>R a = (x - k *\<^sub>R a) + (y - l *\<^sub>R a)"
huffman@44133
  2365
      by (simp add: algebra_simps)
huffman@44133
  2366
    have addh: "?h (x + y) = ?h x + ?h y"
huffman@44133
  2367
      apply (rule conjunct2[OF h, rule_format, symmetric])
huffman@44133
  2368
      apply (rule span_add[OF x y])
huffman@44133
  2369
      unfolding tha
wenzelm@53406
  2370
      apply (metis span_add x y conjunct1[OF h, rule_format])
wenzelm@53406
  2371
      done
huffman@44133
  2372
    have "?g (x + y) = ?g x + ?g y"
huffman@44133
  2373
      unfolding addh tha
huffman@44133
  2374
      g(1)[rule_format,OF conjunct1[OF h, OF x] conjunct1[OF h, OF y]]
huffman@44133
  2375
      by (simp add: scaleR_left_distrib)}
huffman@44133
  2376
  moreover
wenzelm@53406
  2377
  {
wenzelm@53406
  2378
    fix x :: "'a"
wenzelm@53406
  2379
    fix c :: real
wenzelm@49522
  2380
    assume x: "x \<in> span (insert a b)"
huffman@44133
  2381
    have tha: "\<And>(x::'a) c k a. c *\<^sub>R x - (c * k) *\<^sub>R a = c *\<^sub>R (x - k *\<^sub>R a)"
huffman@44133
  2382
      by (simp add: algebra_simps)
huffman@44133
  2383
    have hc: "?h (c *\<^sub>R x) = c * ?h x"
huffman@44133
  2384
      apply (rule conjunct2[OF h, rule_format, symmetric])
huffman@44133
  2385
      apply (metis span_mul x)
wenzelm@49522
  2386
      apply (metis tha span_mul x conjunct1[OF h])
wenzelm@49522
  2387
      done
huffman@44133
  2388
    have "?g (c *\<^sub>R x) = c*\<^sub>R ?g x"
huffman@44133
  2389
      unfolding hc tha g(2)[rule_format, OF conjunct1[OF h, OF x]]
wenzelm@53406
  2390
      by (simp add: algebra_simps)
wenzelm@53406
  2391
  }
huffman@44133
  2392
  moreover
wenzelm@53406
  2393
  {
wenzelm@53406
  2394
    fix x
wenzelm@53406
  2395
    assume x: "x \<in> insert a b"
wenzelm@53406
  2396
    {
wenzelm@53406
  2397
      assume xa: "x = a"
huffman@44133
  2398
      have ha1: "1 = ?h a"
huffman@44133
  2399
        apply (rule conjunct2[OF h, rule_format])
huffman@44133
  2400
        apply (metis span_superset insertI1)
huffman@44133
  2401
        using conjunct1[OF h, OF span_superset, OF insertI1]
wenzelm@49522
  2402
        apply (auto simp add: span_0)
wenzelm@49522
  2403
        done
huffman@44133
  2404
      from xa ha1[symmetric] have "?g x = f x"
huffman@44133
  2405
        apply simp
huffman@44133
  2406
        using g(2)[rule_format, OF span_0, of 0]
wenzelm@49522
  2407
        apply simp
wenzelm@53406
  2408
        done
wenzelm@53406
  2409
    }
huffman@44133
  2410
    moreover
wenzelm@53406
  2411
    {
wenzelm@53406
  2412
      assume xb: "x \<in> b"
huffman@44133
  2413
      have h0: "0 = ?h x"
huffman@44133
  2414
        apply (rule conjunct2[OF h, rule_format])
huffman@44133
  2415
        apply (metis  span_superset x)
huffman@44133
  2416
        apply simp
huffman@44133
  2417
        apply (metis span_superset xb)
huffman@44133
  2418
        done
huffman@44133
  2419
      have "?g x = f x"
wenzelm@53406
  2420
        by (simp add: h0[symmetric] g(3)[rule_format, OF xb])
wenzelm@53406
  2421
    }
wenzelm@53406
  2422
    ultimately have "?g x = f x"
wenzelm@53406
  2423
      using x by blast
wenzelm@53406
  2424
  }
wenzelm@49663
  2425
  ultimately show ?case
wenzelm@49663
  2426
    apply -
wenzelm@49663
  2427
    apply (rule exI[where x="?g"])
wenzelm@49663
  2428
    apply blast
wenzelm@49663
  2429
    done
huffman@44133
  2430
qed
huffman@44133
  2431
huffman@44133
  2432
lemma linear_independent_extend:
wenzelm@53406
  2433
  fixes B :: "'a::euclidean_space set"
wenzelm@53406
  2434
  assumes iB: "independent B"
huffman@44133
  2435
  shows "\<exists>g. linear g \<and> (\<forall>x\<in>B. g x = f x)"
wenzelm@49522
  2436
proof -
huffman@44133
  2437
  from maximal_independent_subset_extend[of B UNIV] iB
wenzelm@53406
  2438
  obtain C where C: "B \<subseteq> C" "independent C" "\<And>x. x \<in> span C"
wenzelm@53406
  2439
    by auto
huffman@44133
  2440
huffman@44133
  2441
  from C(2) independent_bound[of C] linear_independent_extend_lemma[of C f]
wenzelm@53406
  2442
  obtain g where g:
wenzelm@53406
  2443
    "(\<forall>x\<in> span C. \<forall>y\<in> span C. g (x + y) = g x + g y) \<and>
wenzelm@53406
  2444
     (\<forall>x\<in> span C. \<forall>c. g (c*\<^sub>R x) = c *\<^sub>R g x) \<and>
wenzelm@53406
  2445
     (\<forall>x\<in> C. g x = f x)" by blast
wenzelm@53406
  2446
  from g show ?thesis
wenzelm@53406
  2447
    unfolding linear_def
wenzelm@53406
  2448
    using C
wenzelm@49663
  2449
    apply clarsimp
wenzelm@49663
  2450
    apply blast
wenzelm@49663
  2451
    done
huffman@44133
  2452
qed
huffman@44133
  2453
huffman@44133
  2454
text {* Can construct an isomorphism between spaces of same dimension. *}
huffman@44133
  2455
wenzelm@49522
  2456
lemma card_le_inj:
wenzelm@49663
  2457
  assumes fA: "finite A"
wenzelm@49663
  2458
    and fB: "finite B"
wenzelm@49522
  2459
    and c: "card A \<le> card B"
wenzelm@49663
  2460
  shows "\<exists>f. f ` A \<subseteq> B \<and> inj_on f A"
wenzelm@49522
  2461
  using fA fB c
wenzelm@49522
  2462
proof (induct arbitrary: B rule: finite_induct)
wenzelm@49522
  2463
  case empty
wenzelm@49522
  2464
  then show ?case by simp
huffman