src/HOL/Library/Inner_Product.thy
author wenzelm
Wed Jun 17 11:03:05 2015 +0200 (2015-06-17)
changeset 60500 903bb1495239
parent 58881 b9556a055632
child 60679 ade12ef2773c
permissions -rw-r--r--
isabelle update_cartouches;
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(*  Title:      HOL/Library/Inner_Product.thy
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    Author:     Brian Huffman
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*)
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section \<open>Inner Product Spaces and the Gradient Derivative\<close>
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theory Inner_Product
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imports "~~/src/HOL/Complex_Main"
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begin
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subsection \<open>Real inner product spaces\<close>
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text \<open>
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  Temporarily relax type constraints for @{term "open"},
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  @{term dist}, and @{term norm}.
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\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name "open"}, SOME @{typ "'a::open set \<Rightarrow> bool"})\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name dist}, SOME @{typ "'a::dist \<Rightarrow> 'a \<Rightarrow> real"})\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name norm}, SOME @{typ "'a::norm \<Rightarrow> real"})\<close>
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class real_inner = real_vector + sgn_div_norm + dist_norm + open_dist +
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  fixes inner :: "'a \<Rightarrow> 'a \<Rightarrow> real"
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  assumes inner_commute: "inner x y = inner y x"
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  and inner_add_left: "inner (x + y) z = inner x z + inner y z"
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  and inner_scaleR_left [simp]: "inner (scaleR r x) y = r * (inner x y)"
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  and inner_ge_zero [simp]: "0 \<le> inner x x"
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  and inner_eq_zero_iff [simp]: "inner x x = 0 \<longleftrightarrow> x = 0"
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  and norm_eq_sqrt_inner: "norm x = sqrt (inner x x)"
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begin
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lemma inner_zero_left [simp]: "inner 0 x = 0"
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  using inner_add_left [of 0 0 x] by simp
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lemma inner_minus_left [simp]: "inner (- x) y = - inner x y"
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  using inner_add_left [of x "- x" y] by simp
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lemma inner_diff_left: "inner (x - y) z = inner x z - inner y z"
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  using inner_add_left [of x "- y" z] by simp
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lemma inner_setsum_left: "inner (\<Sum>x\<in>A. f x) y = (\<Sum>x\<in>A. inner (f x) y)"
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  by (cases "finite A", induct set: finite, simp_all add: inner_add_left)
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text \<open>Transfer distributivity rules to right argument.\<close>
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lemma inner_add_right: "inner x (y + z) = inner x y + inner x z"
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  using inner_add_left [of y z x] by (simp only: inner_commute)
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lemma inner_scaleR_right [simp]: "inner x (scaleR r y) = r * (inner x y)"
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  using inner_scaleR_left [of r y x] by (simp only: inner_commute)
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lemma inner_zero_right [simp]: "inner x 0 = 0"
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  using inner_zero_left [of x] by (simp only: inner_commute)
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lemma inner_minus_right [simp]: "inner x (- y) = - inner x y"
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  using inner_minus_left [of y x] by (simp only: inner_commute)
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lemma inner_diff_right: "inner x (y - z) = inner x y - inner x z"
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  using inner_diff_left [of y z x] by (simp only: inner_commute)
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lemma inner_setsum_right: "inner x (\<Sum>y\<in>A. f y) = (\<Sum>y\<in>A. inner x (f y))"
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  using inner_setsum_left [of f A x] by (simp only: inner_commute)
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lemmas inner_add [algebra_simps] = inner_add_left inner_add_right
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lemmas inner_diff [algebra_simps]  = inner_diff_left inner_diff_right
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lemmas inner_scaleR = inner_scaleR_left inner_scaleR_right
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text \<open>Legacy theorem names\<close>
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lemmas inner_left_distrib = inner_add_left
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lemmas inner_right_distrib = inner_add_right
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lemmas inner_distrib = inner_left_distrib inner_right_distrib
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lemma inner_gt_zero_iff [simp]: "0 < inner x x \<longleftrightarrow> x \<noteq> 0"
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  by (simp add: order_less_le)
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lemma power2_norm_eq_inner: "(norm x)\<^sup>2 = inner x x"
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  by (simp add: norm_eq_sqrt_inner)
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lemma Cauchy_Schwarz_ineq:
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  "(inner x y)\<^sup>2 \<le> inner x x * inner y y"
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proof (cases)
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  assume "y = 0"
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  thus ?thesis by simp
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next
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  assume y: "y \<noteq> 0"
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  let ?r = "inner x y / inner y y"
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  have "0 \<le> inner (x - scaleR ?r y) (x - scaleR ?r y)"
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    by (rule inner_ge_zero)
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  also have "\<dots> = inner x x - inner y x * ?r"
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    by (simp add: inner_diff)
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  also have "\<dots> = inner x x - (inner x y)\<^sup>2 / inner y y"
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    by (simp add: power2_eq_square inner_commute)
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  finally have "0 \<le> inner x x - (inner x y)\<^sup>2 / inner y y" .
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  hence "(inner x y)\<^sup>2 / inner y y \<le> inner x x"
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    by (simp add: le_diff_eq)
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  thus "(inner x y)\<^sup>2 \<le> inner x x * inner y y"
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    by (simp add: pos_divide_le_eq y)
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qed
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lemma Cauchy_Schwarz_ineq2:
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  "\<bar>inner x y\<bar> \<le> norm x * norm y"
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proof (rule power2_le_imp_le)
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  have "(inner x y)\<^sup>2 \<le> inner x x * inner y y"
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    using Cauchy_Schwarz_ineq .
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  thus "\<bar>inner x y\<bar>\<^sup>2 \<le> (norm x * norm y)\<^sup>2"
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    by (simp add: power_mult_distrib power2_norm_eq_inner)
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  show "0 \<le> norm x * norm y"
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    unfolding norm_eq_sqrt_inner
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    by (intro mult_nonneg_nonneg real_sqrt_ge_zero inner_ge_zero)
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qed
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lemma norm_cauchy_schwarz: "inner x y \<le> norm x * norm y"
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  using Cauchy_Schwarz_ineq2 [of x y] by auto
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subclass real_normed_vector
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proof
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  fix a :: real and x y :: 'a
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  show "norm x = 0 \<longleftrightarrow> x = 0"
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    unfolding norm_eq_sqrt_inner by simp
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  show "norm (x + y) \<le> norm x + norm y"
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    proof (rule power2_le_imp_le)
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      have "inner x y \<le> norm x * norm y"
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        by (rule norm_cauchy_schwarz)
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      thus "(norm (x + y))\<^sup>2 \<le> (norm x + norm y)\<^sup>2"
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        unfolding power2_sum power2_norm_eq_inner
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        by (simp add: inner_add inner_commute)
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      show "0 \<le> norm x + norm y"
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        unfolding norm_eq_sqrt_inner by simp
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    qed
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  have "sqrt (a\<^sup>2 * inner x x) = \<bar>a\<bar> * sqrt (inner x x)"
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    by (simp add: real_sqrt_mult_distrib)
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  then show "norm (a *\<^sub>R x) = \<bar>a\<bar> * norm x"
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    unfolding norm_eq_sqrt_inner
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    by (simp add: power2_eq_square mult.assoc)
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qed
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end
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text \<open>
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  Re-enable constraints for @{term "open"},
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  @{term dist}, and @{term norm}.
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\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name "open"}, SOME @{typ "'a::topological_space set \<Rightarrow> bool"})\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name dist}, SOME @{typ "'a::metric_space \<Rightarrow> 'a \<Rightarrow> real"})\<close>
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setup \<open>Sign.add_const_constraint
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  (@{const_name norm}, SOME @{typ "'a::real_normed_vector \<Rightarrow> real"})\<close>
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lemma bounded_bilinear_inner:
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  "bounded_bilinear (inner::'a::real_inner \<Rightarrow> 'a \<Rightarrow> real)"
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proof
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  fix x y z :: 'a and r :: real
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  show "inner (x + y) z = inner x z + inner y z"
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    by (rule inner_add_left)
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  show "inner x (y + z) = inner x y + inner x z"
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    by (rule inner_add_right)
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  show "inner (scaleR r x) y = scaleR r (inner x y)"
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    unfolding real_scaleR_def by (rule inner_scaleR_left)
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  show "inner x (scaleR r y) = scaleR r (inner x y)"
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    unfolding real_scaleR_def by (rule inner_scaleR_right)
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  show "\<exists>K. \<forall>x y::'a. norm (inner x y) \<le> norm x * norm y * K"
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  proof
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    show "\<forall>x y::'a. norm (inner x y) \<le> norm x * norm y * 1"
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      by (simp add: Cauchy_Schwarz_ineq2)
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  qed
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qed
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lemmas tendsto_inner [tendsto_intros] =
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  bounded_bilinear.tendsto [OF bounded_bilinear_inner]
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lemmas isCont_inner [simp] =
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  bounded_bilinear.isCont [OF bounded_bilinear_inner]
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lemmas has_derivative_inner [derivative_intros] =
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  bounded_bilinear.FDERIV [OF bounded_bilinear_inner]
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lemmas bounded_linear_inner_left =
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  bounded_bilinear.bounded_linear_left [OF bounded_bilinear_inner]
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lemmas bounded_linear_inner_right =
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  bounded_bilinear.bounded_linear_right [OF bounded_bilinear_inner]
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lemmas has_derivative_inner_right [derivative_intros] =
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  bounded_linear.has_derivative [OF bounded_linear_inner_right]
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lemmas has_derivative_inner_left [derivative_intros] =
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  bounded_linear.has_derivative [OF bounded_linear_inner_left]
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lemma differentiable_inner [simp]:
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  "f differentiable (at x within s) \<Longrightarrow> g differentiable at x within s \<Longrightarrow> (\<lambda>x. inner (f x) (g x)) differentiable at x within s"
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  unfolding differentiable_def by (blast intro: has_derivative_inner)
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subsection \<open>Class instances\<close>
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instantiation real :: real_inner
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begin
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definition inner_real_def [simp]: "inner = op *"
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instance proof
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  fix x y z r :: real
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  show "inner x y = inner y x"
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    unfolding inner_real_def by (rule mult.commute)
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  show "inner (x + y) z = inner x z + inner y z"
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    unfolding inner_real_def by (rule distrib_right)
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  show "inner (scaleR r x) y = r * inner x y"
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    unfolding inner_real_def real_scaleR_def by (rule mult.assoc)
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  show "0 \<le> inner x x"
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    unfolding inner_real_def by simp
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  show "inner x x = 0 \<longleftrightarrow> x = 0"
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    unfolding inner_real_def by simp
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  show "norm x = sqrt (inner x x)"
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    unfolding inner_real_def by simp
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qed
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end
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instantiation complex :: real_inner
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begin
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definition inner_complex_def:
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  "inner x y = Re x * Re y + Im x * Im y"
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instance proof
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  fix x y z :: complex and r :: real
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  show "inner x y = inner y x"
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    unfolding inner_complex_def by (simp add: mult.commute)
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  show "inner (x + y) z = inner x z + inner y z"
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    unfolding inner_complex_def by (simp add: distrib_right)
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  show "inner (scaleR r x) y = r * inner x y"
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    unfolding inner_complex_def by (simp add: distrib_left)
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  show "0 \<le> inner x x"
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    unfolding inner_complex_def by simp
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  show "inner x x = 0 \<longleftrightarrow> x = 0"
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    unfolding inner_complex_def
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    by (simp add: add_nonneg_eq_0_iff complex_Re_Im_cancel_iff)
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  show "norm x = sqrt (inner x x)"
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    unfolding inner_complex_def complex_norm_def
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    by (simp add: power2_eq_square)
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qed
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end
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lemma complex_inner_1 [simp]: "inner 1 x = Re x"
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  unfolding inner_complex_def by simp
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lemma complex_inner_1_right [simp]: "inner x 1 = Re x"
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  unfolding inner_complex_def by simp
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lemma complex_inner_ii_left [simp]: "inner ii x = Im x"
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  unfolding inner_complex_def by simp
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lemma complex_inner_ii_right [simp]: "inner x ii = Im x"
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  unfolding inner_complex_def by simp
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subsection \<open>Gradient derivative\<close>
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definition
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  gderiv ::
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    "['a::real_inner \<Rightarrow> real, 'a, 'a] \<Rightarrow> bool"
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          ("(GDERIV (_)/ (_)/ :> (_))" [1000, 1000, 60] 60)
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where
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  "GDERIV f x :> D \<longleftrightarrow> FDERIV f x :> (\<lambda>h. inner h D)"
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lemma gderiv_deriv [simp]: "GDERIV f x :> D \<longleftrightarrow> DERIV f x :> D"
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  by (simp only: gderiv_def has_field_derivative_def inner_real_def mult_commute_abs)
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lemma GDERIV_DERIV_compose:
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    "\<lbrakk>GDERIV f x :> df; DERIV g (f x) :> dg\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. g (f x)) x :> scaleR dg df"
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  unfolding gderiv_def has_field_derivative_def
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  apply (drule (1) has_derivative_compose)
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  apply (simp add: ac_simps)
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  done
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lemma has_derivative_subst: "\<lbrakk>FDERIV f x :> df; df = d\<rbrakk> \<Longrightarrow> FDERIV f x :> d"
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  by simp
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lemma GDERIV_subst: "\<lbrakk>GDERIV f x :> df; df = d\<rbrakk> \<Longrightarrow> GDERIV f x :> d"
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  by simp
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lemma GDERIV_const: "GDERIV (\<lambda>x. k) x :> 0"
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  unfolding gderiv_def inner_zero_right by (rule has_derivative_const)
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lemma GDERIV_add:
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    "\<lbrakk>GDERIV f x :> df; GDERIV g x :> dg\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. f x + g x) x :> df + dg"
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  unfolding gderiv_def inner_add_right by (rule has_derivative_add)
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lemma GDERIV_minus:
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    "GDERIV f x :> df \<Longrightarrow> GDERIV (\<lambda>x. - f x) x :> - df"
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  unfolding gderiv_def inner_minus_right by (rule has_derivative_minus)
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lemma GDERIV_diff:
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    "\<lbrakk>GDERIV f x :> df; GDERIV g x :> dg\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. f x - g x) x :> df - dg"
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  unfolding gderiv_def inner_diff_right by (rule has_derivative_diff)
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lemma GDERIV_scaleR:
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    "\<lbrakk>DERIV f x :> df; GDERIV g x :> dg\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. scaleR (f x) (g x)) x
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      :> (scaleR (f x) dg + scaleR df (g x))"
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  unfolding gderiv_def has_field_derivative_def inner_add_right inner_scaleR_right
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  apply (rule has_derivative_subst)
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  apply (erule (1) has_derivative_scaleR)
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  apply (simp add: ac_simps)
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  done
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lemma GDERIV_mult:
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    "\<lbrakk>GDERIV f x :> df; GDERIV g x :> dg\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. f x * g x) x :> scaleR (f x) dg + scaleR (g x) df"
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  unfolding gderiv_def
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  apply (rule has_derivative_subst)
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  apply (erule (1) has_derivative_mult)
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  apply (simp add: inner_add ac_simps)
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  done
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lemma GDERIV_inverse:
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    "\<lbrakk>GDERIV f x :> df; f x \<noteq> 0\<rbrakk>
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     \<Longrightarrow> GDERIV (\<lambda>x. inverse (f x)) x :> - (inverse (f x))\<^sup>2 *\<^sub>R df"
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  apply (erule GDERIV_DERIV_compose)
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  apply (erule DERIV_inverse [folded numeral_2_eq_2])
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  done
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   334
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lemma GDERIV_norm:
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  assumes "x \<noteq> 0" shows "GDERIV (\<lambda>x. norm x) x :> sgn x"
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proof -
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  have 1: "FDERIV (\<lambda>x. inner x x) x :> (\<lambda>h. inner x h + inner h x)"
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    by (intro has_derivative_inner has_derivative_ident)
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  have 2: "(\<lambda>h. inner x h + inner h x) = (\<lambda>h. inner h (scaleR 2 x))"
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    by (simp add: fun_eq_iff inner_commute)
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  have "0 < inner x x" using \<open>x \<noteq> 0\<close> by simp
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  then have 3: "DERIV sqrt (inner x x) :> (inverse (sqrt (inner x x)) / 2)"
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    by (rule DERIV_real_sqrt)
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  have 4: "(inverse (sqrt (inner x x)) / 2) *\<^sub>R 2 *\<^sub>R x = sgn x"
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    by (simp add: sgn_div_norm norm_eq_sqrt_inner)
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  show ?thesis
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    unfolding norm_eq_sqrt_inner
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    apply (rule GDERIV_subst [OF _ 4])
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    apply (rule GDERIV_DERIV_compose [where g=sqrt and df="scaleR 2 x"])
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    apply (subst gderiv_def)
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    apply (rule has_derivative_subst [OF _ 2])
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    apply (rule 1)
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    apply (rule 3)
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    done
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qed
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lemmas has_derivative_norm = GDERIV_norm [unfolded gderiv_def]
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   359
huffman@29993
   360
end