src/HOL/Library/Inner_Product.thy
author haftmann
Mon Mar 23 08:14:24 2009 +0100 (2009-03-23)
changeset 30663 0b6aff7451b2
parent 30067 84205156ca8a
child 30729 461ee3e49ad3
permissions -rw-r--r--
Main is (Complex_Main) base entry point in library theories
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(* Title:      Inner_Product.thy
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   Author:     Brian Huffman
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*)
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header {* Inner Product Spaces and the Gradient Derivative *}
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theory Inner_Product
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imports Complex_Main FrechetDeriv
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begin
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subsection {* Real inner product spaces *}
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class real_inner = real_vector + sgn_div_norm +
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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_left_distrib: "inner (x + y) z = inner x z + inner y z"
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  and inner_scaleR_left: "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_left_distrib [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_left_distrib [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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  by (simp add: diff_minus inner_left_distrib)
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text {* Transfer distributivity rules to right argument. *}
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lemma inner_right_distrib: "inner x (y + z) = inner x y + inner x z"
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  using inner_left_distrib [of y z x] by (simp only: inner_commute)
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lemma inner_scaleR_right: "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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lemmas inner_distrib = inner_left_distrib inner_right_distrib
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lemmas inner_diff = inner_diff_left inner_diff_right
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lemmas inner_scaleR = inner_scaleR_left inner_scaleR_right
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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)\<twosuperior> = 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)\<twosuperior> \<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 inner_scaleR)
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  also have "\<dots> = inner x x - (inner x y)\<twosuperior> / 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)\<twosuperior> / inner y y" .
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  hence "(inner x y)\<twosuperior> / 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)\<twosuperior> \<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)\<twosuperior> \<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>\<twosuperior> \<le> (norm x * norm y)\<twosuperior>"
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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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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 "0 \<le> norm x"
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    unfolding norm_eq_sqrt_inner by simp
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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 order_trans [OF abs_ge_self Cauchy_Schwarz_ineq2])
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      thus "(norm (x + y))\<twosuperior> \<le> (norm x + norm y)\<twosuperior>"
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        unfolding power2_sum power2_norm_eq_inner
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        by (simp add: inner_distrib inner_commute)
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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 (simp add: add_nonneg_nonneg)
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    qed
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  have "sqrt (a\<twosuperior> * 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: inner_scaleR power2_eq_square mult_assoc)
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qed
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end
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interpretation 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_left_distrib)
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  show "inner x (y + z) = inner x y + inner x z"
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    by (rule inner_right_distrib)
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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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interpretation inner_left!:
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  bounded_linear "\<lambda>x::'a::real_inner. inner x y"
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  by (rule inner.bounded_linear_left)
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interpretation inner_right!:
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  bounded_linear "\<lambda>y::'a::real_inner. inner x y"
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  by (rule inner.bounded_linear_right)
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subsection {* Class instances *}
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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 left_distrib)
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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: left_distrib)
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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: right_distrib)
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  show "0 \<le> inner x x"
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    unfolding inner_complex_def by (simp add: add_nonneg_nonneg)
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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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subsection {* Gradient derivative *}
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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 deriv_fderiv: "DERIV f x :> D \<longleftrightarrow> FDERIV f x :> (\<lambda>h. h * D)"
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  by (simp only: deriv_def field_fderiv_def)
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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 deriv_fderiv inner_real_def)
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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 deriv_fderiv
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  apply (drule (1) FDERIV_compose)
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  apply (simp add: inner_scaleR_right mult_ac)
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  done
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lemma FDERIV_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_right.zero by (rule FDERIV_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_right.add by (rule FDERIV_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_right.minus by (rule FDERIV_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_right.diff by (rule FDERIV_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 deriv_fderiv inner_right.add inner_right.scaleR
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  apply (rule FDERIV_subst)
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  apply (erule (1) scaleR.FDERIV)
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  apply (simp add: mult_ac)
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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 FDERIV_subst)
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  apply (erule (1) FDERIV_mult)
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  apply (simp add: inner_distrib inner_scaleR mult_ac)
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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))\<twosuperior> *\<^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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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 inner.FDERIV FDERIV_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: expand_fun_eq inner_scaleR inner_commute)
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  have "0 < inner x x" using `x \<noteq> 0` 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 FDERIV_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 FDERIV_norm = GDERIV_norm [unfolded gderiv_def]
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end