src/HOL/Real/RealVector.thy

instance real_algebra_1 < ring_char_0

(*  Title       : RealVector.thy
    ID:         $Id$
    Author      : Brian Huffman
*)

header {* Vector Spaces and Algebras over the Reals *}

theory RealVector
imports RealPow
begin

subsection {* Locale for additive functions *}

locale additive =
  fixes f :: "'a::ab_group_add \<Rightarrow> 'b::ab_group_add"
  assumes add: "f (x + y) = f x + f y"

lemma (in additive) zero: "f 0 = 0"
proof -
  have "f 0 = f (0 + 0)" by simp
  also have "\<dots> = f 0 + f 0" by (rule add)
  finally show "f 0 = 0" by simp
qed

lemma (in additive) minus: "f (- x) = - f x"
proof -
  have "f (- x) + f x = f (- x + x)" by (rule add [symmetric])
  also have "\<dots> = - f x + f x" by (simp add: zero)
  finally show "f (- x) = - f x" by (rule add_right_imp_eq)
qed

lemma (in additive) diff: "f (x - y) = f x - f y"
by (simp add: diff_def add minus)


subsection {* Real vector spaces *}

class scaleR = type +
  fixes scaleR :: "real \<Rightarrow> 'a \<Rightarrow> 'a"

notation
  scaleR (infixr "*#" 75)

abbreviation
  divideR :: "'a \<Rightarrow> real \<Rightarrow> 'a::scaleR" (infixl "'/#" 70) where
  "x /# r == scaleR (inverse r) x"

notation (xsymbols)
  scaleR (infixr "*\<^sub>R" 75) and
  divideR (infixl "'/\<^sub>R" 70)

instance real :: scaleR
  real_scaleR_def: "scaleR a x \<equiv> a * x" ..

axclass real_vector < scaleR, ab_group_add
  scaleR_right_distrib: "scaleR a (x + y) = scaleR a x + scaleR a y"
  scaleR_left_distrib: "scaleR (a + b) x = scaleR a x + scaleR b x"
  scaleR_scaleR [simp]: "scaleR a (scaleR b x) = scaleR (a * b) x"
  scaleR_one [simp]: "scaleR 1 x = x"

axclass real_algebra < real_vector, ring
  mult_scaleR_left [simp]: "scaleR a x * y = scaleR a (x * y)"
  mult_scaleR_right [simp]: "x * scaleR a y = scaleR a (x * y)"

axclass real_algebra_1 < real_algebra, ring_1

axclass real_div_algebra < real_algebra_1, division_ring

axclass real_field < real_div_algebra, field

instance real :: real_field
apply (intro_classes, unfold real_scaleR_def)
apply (rule right_distrib)
apply (rule left_distrib)
apply (rule mult_assoc [symmetric])
apply (rule mult_1_left)
apply (rule mult_assoc)
apply (rule mult_left_commute)
done

lemma scaleR_left_commute:
  fixes x :: "'a::real_vector"
  shows "scaleR a (scaleR b x) = scaleR b (scaleR a x)"
by (simp add: mult_commute)

lemma additive_scaleR_right: "additive (\<lambda>x. scaleR a x::'a::real_vector)"
by (rule additive.intro, rule scaleR_right_distrib)

lemma additive_scaleR_left: "additive (\<lambda>a. scaleR a x::'a::real_vector)"
by (rule additive.intro, rule scaleR_left_distrib)

lemmas scaleR_zero_left [simp] =
  additive.zero [OF additive_scaleR_left, standard]

lemmas scaleR_zero_right [simp] =
  additive.zero [OF additive_scaleR_right, standard]

lemmas scaleR_minus_left [simp] =
  additive.minus [OF additive_scaleR_left, standard]

lemmas scaleR_minus_right [simp] =
  additive.minus [OF additive_scaleR_right, standard]

lemmas scaleR_left_diff_distrib =
  additive.diff [OF additive_scaleR_left, standard]

lemmas scaleR_right_diff_distrib =
  additive.diff [OF additive_scaleR_right, standard]

lemma scaleR_eq_0_iff:
  fixes x :: "'a::real_vector"
  shows "(scaleR a x = 0) = (a = 0 \<or> x = 0)"
proof cases
  assume "a = 0" thus ?thesis by simp
next
  assume anz [simp]: "a \<noteq> 0"
  { assume "scaleR a x = 0"
    hence "scaleR (inverse a) (scaleR a x) = 0" by simp
    hence "x = 0" by simp }
  thus ?thesis by force
qed

lemma scaleR_left_imp_eq:
  fixes x y :: "'a::real_vector"
  shows "\<lbrakk>a \<noteq> 0; scaleR a x = scaleR a y\<rbrakk> \<Longrightarrow> x = y"
proof -
  assume nonzero: "a \<noteq> 0"
  assume "scaleR a x = scaleR a y"
  hence "scaleR a (x - y) = 0"
     by (simp add: scaleR_right_diff_distrib)
  hence "x - y = 0"
     by (simp add: scaleR_eq_0_iff nonzero)
  thus "x = y" by simp
qed

lemma scaleR_right_imp_eq:
  fixes x y :: "'a::real_vector"
  shows "\<lbrakk>x \<noteq> 0; scaleR a x = scaleR b x\<rbrakk> \<Longrightarrow> a = b"
proof -
  assume nonzero: "x \<noteq> 0"
  assume "scaleR a x = scaleR b x"
  hence "scaleR (a - b) x = 0"
     by (simp add: scaleR_left_diff_distrib)
  hence "a - b = 0"
     by (simp add: scaleR_eq_0_iff nonzero)
  thus "a = b" by simp
qed

lemma scaleR_cancel_left:
  fixes x y :: "'a::real_vector"
  shows "(scaleR a x = scaleR a y) = (x = y \<or> a = 0)"
by (auto intro: scaleR_left_imp_eq)

lemma scaleR_cancel_right:
  fixes x y :: "'a::real_vector"
  shows "(scaleR a x = scaleR b x) = (a = b \<or> x = 0)"
by (auto intro: scaleR_right_imp_eq)

lemma nonzero_inverse_scaleR_distrib:
  fixes x :: "'a::real_div_algebra" shows
  "\<lbrakk>a \<noteq> 0; x \<noteq> 0\<rbrakk> \<Longrightarrow> inverse (scaleR a x) = scaleR (inverse a) (inverse x)"
by (rule inverse_unique, simp)

lemma inverse_scaleR_distrib:
  fixes x :: "'a::{real_div_algebra,division_by_zero}"
  shows "inverse (scaleR a x) = scaleR (inverse a) (inverse x)"
apply (case_tac "a = 0", simp)
apply (case_tac "x = 0", simp)
apply (erule (1) nonzero_inverse_scaleR_distrib)
done


subsection {* Embedding of the Reals into any @{text real_algebra_1}:
@{term of_real} *}

definition
  of_real :: "real \<Rightarrow> 'a::real_algebra_1" where
  "of_real r = scaleR r 1"

lemma scaleR_conv_of_real: "scaleR r x = of_real r * x"
by (simp add: of_real_def)

lemma of_real_0 [simp]: "of_real 0 = 0"
by (simp add: of_real_def)

lemma of_real_1 [simp]: "of_real 1 = 1"
by (simp add: of_real_def)

lemma of_real_add [simp]: "of_real (x + y) = of_real x + of_real y"
by (simp add: of_real_def scaleR_left_distrib)

lemma of_real_minus [simp]: "of_real (- x) = - of_real x"
by (simp add: of_real_def)

lemma of_real_diff [simp]: "of_real (x - y) = of_real x - of_real y"
by (simp add: of_real_def scaleR_left_diff_distrib)

lemma of_real_mult [simp]: "of_real (x * y) = of_real x * of_real y"
by (simp add: of_real_def mult_commute)

lemma nonzero_of_real_inverse:
  "x \<noteq> 0 \<Longrightarrow> of_real (inverse x) =
   inverse (of_real x :: 'a::real_div_algebra)"
by (simp add: of_real_def nonzero_inverse_scaleR_distrib)

lemma of_real_inverse [simp]:
  "of_real (inverse x) =
   inverse (of_real x :: 'a::{real_div_algebra,division_by_zero})"
by (simp add: of_real_def inverse_scaleR_distrib)

lemma nonzero_of_real_divide:
  "y \<noteq> 0 \<Longrightarrow> of_real (x / y) =
   (of_real x / of_real y :: 'a::real_field)"
by (simp add: divide_inverse nonzero_of_real_inverse)

lemma of_real_divide [simp]:
  "of_real (x / y) =
   (of_real x / of_real y :: 'a::{real_field,division_by_zero})"
by (simp add: divide_inverse)

lemma of_real_power [simp]:
  "of_real (x ^ n) = (of_real x :: 'a::{real_algebra_1,recpower}) ^ n"
by (induct n) (simp_all add: power_Suc)

lemma of_real_eq_iff [simp]: "(of_real x = of_real y) = (x = y)"
by (simp add: of_real_def scaleR_cancel_right)

lemmas of_real_eq_0_iff [simp] = of_real_eq_iff [of _ 0, simplified]

lemma of_real_eq_id [simp]: "of_real = (id :: real \<Rightarrow> real)"
proof
  fix r
  show "of_real r = id r"
    by (simp add: of_real_def real_scaleR_def)
qed

text{*Collapse nested embeddings*}
lemma of_real_of_nat_eq [simp]: "of_real (of_nat n) = of_nat n"
by (induct n) auto

lemma of_real_of_int_eq [simp]: "of_real (of_int z) = of_int z"
by (cases z rule: int_diff_cases, simp)

lemma of_real_number_of_eq:
  "of_real (number_of w) = (number_of w :: 'a::{number_ring,real_algebra_1})"
by (simp add: number_of_eq)

text{*Every real algebra has characteristic zero*}
instance real_algebra_1 < ring_char_0
proof
  fix w z :: int
  assume "of_int w = (of_int z::'a)"
  hence "of_real (of_int w) = (of_real (of_int z)::'a)"
    by (simp only: of_real_of_int_eq)
  thus "w = z"
    by (simp only: of_real_eq_iff of_int_eq_iff)
qed


subsection {* The Set of Real Numbers *}

definition
  Reals :: "'a::real_algebra_1 set" where
  "Reals \<equiv> range of_real"

notation (xsymbols)
  Reals  ("\<real>")

lemma Reals_of_real [simp]: "of_real r \<in> Reals"
by (simp add: Reals_def)

lemma Reals_of_int [simp]: "of_int z \<in> Reals"
by (subst of_real_of_int_eq [symmetric], rule Reals_of_real)

lemma Reals_of_nat [simp]: "of_nat n \<in> Reals"
by (subst of_real_of_nat_eq [symmetric], rule Reals_of_real)

lemma Reals_number_of [simp]:
  "(number_of w::'a::{number_ring,real_algebra_1}) \<in> Reals"
by (subst of_real_number_of_eq [symmetric], rule Reals_of_real)

lemma Reals_0 [simp]: "0 \<in> Reals"
apply (unfold Reals_def)
apply (rule range_eqI)
apply (rule of_real_0 [symmetric])
done

lemma Reals_1 [simp]: "1 \<in> Reals"
apply (unfold Reals_def)
apply (rule range_eqI)
apply (rule of_real_1 [symmetric])
done

lemma Reals_add [simp]: "\<lbrakk>a \<in> Reals; b \<in> Reals\<rbrakk> \<Longrightarrow> a + b \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_add [symmetric])
done

lemma Reals_minus [simp]: "a \<in> Reals \<Longrightarrow> - a \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_minus [symmetric])
done

lemma Reals_diff [simp]: "\<lbrakk>a \<in> Reals; b \<in> Reals\<rbrakk> \<Longrightarrow> a - b \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_diff [symmetric])
done

lemma Reals_mult [simp]: "\<lbrakk>a \<in> Reals; b \<in> Reals\<rbrakk> \<Longrightarrow> a * b \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_mult [symmetric])
done

lemma nonzero_Reals_inverse:
  fixes a :: "'a::real_div_algebra"
  shows "\<lbrakk>a \<in> Reals; a \<noteq> 0\<rbrakk> \<Longrightarrow> inverse a \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (erule nonzero_of_real_inverse [symmetric])
done

lemma Reals_inverse [simp]:
  fixes a :: "'a::{real_div_algebra,division_by_zero}"
  shows "a \<in> Reals \<Longrightarrow> inverse a \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_inverse [symmetric])
done

lemma nonzero_Reals_divide:
  fixes a b :: "'a::real_field"
  shows "\<lbrakk>a \<in> Reals; b \<in> Reals; b \<noteq> 0\<rbrakk> \<Longrightarrow> a / b \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (erule nonzero_of_real_divide [symmetric])
done

lemma Reals_divide [simp]:
  fixes a b :: "'a::{real_field,division_by_zero}"
  shows "\<lbrakk>a \<in> Reals; b \<in> Reals\<rbrakk> \<Longrightarrow> a / b \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_divide [symmetric])
done

lemma Reals_power [simp]:
  fixes a :: "'a::{real_algebra_1,recpower}"
  shows "a \<in> Reals \<Longrightarrow> a ^ n \<in> Reals"
apply (auto simp add: Reals_def)
apply (rule range_eqI)
apply (rule of_real_power [symmetric])
done

lemma Reals_cases [cases set: Reals]:
  assumes "q \<in> \<real>"
  obtains (of_real) r where "q = of_real r"
  unfolding Reals_def
proof -
  from `q \<in> \<real>` have "q \<in> range of_real" unfolding Reals_def .
  then obtain r where "q = of_real r" ..
  then show thesis ..
qed

lemma Reals_induct [case_names of_real, induct set: Reals]:
  "q \<in> \<real> \<Longrightarrow> (\<And>r. P (of_real r)) \<Longrightarrow> P q"
  by (rule Reals_cases) auto


subsection {* Real normed vector spaces *}

class norm = type +
  fixes norm :: "'a \<Rightarrow> real"

instance real :: norm
  real_norm_def [simp]: "norm r \<equiv> \<bar>r\<bar>" ..

axclass real_normed_vector < real_vector, norm
  norm_ge_zero [simp]: "0 \<le> norm x"
  norm_eq_zero [simp]: "(norm x = 0) = (x = 0)"
  norm_triangle_ineq: "norm (x + y) \<le> norm x + norm y"
  norm_scaleR: "norm (scaleR a x) = \<bar>a\<bar> * norm x"

axclass real_normed_algebra < real_algebra, real_normed_vector
  norm_mult_ineq: "norm (x * y) \<le> norm x * norm y"

axclass real_normed_algebra_1 < real_algebra_1, real_normed_algebra
  norm_one [simp]: "norm 1 = 1"

axclass real_normed_div_algebra < real_div_algebra, real_normed_vector
  norm_mult: "norm (x * y) = norm x * norm y"

axclass real_normed_field < real_field, real_normed_div_algebra

instance real_normed_div_algebra < real_normed_algebra_1
proof
  fix x y :: 'a
  show "norm (x * y) \<le> norm x * norm y"
    by (simp add: norm_mult)
next
  have "norm (1 * 1::'a) = norm (1::'a) * norm (1::'a)"
    by (rule norm_mult)
  thus "norm (1::'a) = 1" by simp
qed

instance real :: real_normed_field
apply (intro_classes, unfold real_norm_def real_scaleR_def)
apply (rule abs_ge_zero)
apply (rule abs_eq_0)
apply (rule abs_triangle_ineq)
apply (rule abs_mult)
apply (rule abs_mult)
done

lemma norm_zero [simp]: "norm (0::'a::real_normed_vector) = 0"
by simp

lemma zero_less_norm_iff [simp]:
  fixes x :: "'a::real_normed_vector"
  shows "(0 < norm x) = (x \<noteq> 0)"
by (simp add: order_less_le)

lemma norm_not_less_zero [simp]:
  fixes x :: "'a::real_normed_vector"
  shows "\<not> norm x < 0"
by (simp add: linorder_not_less)

lemma norm_le_zero_iff [simp]:
  fixes x :: "'a::real_normed_vector"
  shows "(norm x \<le> 0) = (x = 0)"
by (simp add: order_le_less)

lemma norm_minus_cancel [simp]:
  fixes x :: "'a::real_normed_vector"
  shows "norm (- x) = norm x"
proof -
  have "norm (- x) = norm (scaleR (- 1) x)"
    by (simp only: scaleR_minus_left scaleR_one)
  also have "\<dots> = \<bar>- 1\<bar> * norm x"
    by (rule norm_scaleR)
  finally show ?thesis by simp
qed

lemma norm_minus_commute:
  fixes a b :: "'a::real_normed_vector"
  shows "norm (a - b) = norm (b - a)"
proof -
  have "norm (- (b - a)) = norm (b - a)"
    by (rule norm_minus_cancel)
  thus ?thesis by simp
qed

lemma norm_triangle_ineq2:
  fixes a b :: "'a::real_normed_vector"
  shows "norm a - norm b \<le> norm (a - b)"
proof -
  have "norm (a - b + b) \<le> norm (a - b) + norm b"
    by (rule norm_triangle_ineq)
  thus ?thesis by simp
qed

lemma norm_triangle_ineq3:
  fixes a b :: "'a::real_normed_vector"
  shows "\<bar>norm a - norm b\<bar> \<le> norm (a - b)"
apply (subst abs_le_iff)
apply auto
apply (rule norm_triangle_ineq2)
apply (subst norm_minus_commute)
apply (rule norm_triangle_ineq2)
done

lemma norm_triangle_ineq4:
  fixes a b :: "'a::real_normed_vector"
  shows "norm (a - b) \<le> norm a + norm b"
proof -
  have "norm (a + - b) \<le> norm a + norm (- b)"
    by (rule norm_triangle_ineq)
  thus ?thesis
    by (simp only: diff_minus norm_minus_cancel)
qed

lemma norm_diff_ineq:
  fixes a b :: "'a::real_normed_vector"
  shows "norm a - norm b \<le> norm (a + b)"
proof -
  have "norm a - norm (- b) \<le> norm (a - - b)"
    by (rule norm_triangle_ineq2)
  thus ?thesis by simp
qed

lemma norm_diff_triangle_ineq:
  fixes a b c d :: "'a::real_normed_vector"
  shows "norm ((a + b) - (c + d)) \<le> norm (a - c) + norm (b - d)"
proof -
  have "norm ((a + b) - (c + d)) = norm ((a - c) + (b - d))"
    by (simp add: diff_minus add_ac)
  also have "\<dots> \<le> norm (a - c) + norm (b - d)"
    by (rule norm_triangle_ineq)
  finally show ?thesis .
qed

lemma abs_norm_cancel [simp]:
  fixes a :: "'a::real_normed_vector"
  shows "\<bar>norm a\<bar> = norm a"
by (rule abs_of_nonneg [OF norm_ge_zero])

lemma norm_add_less:
  fixes x y :: "'a::real_normed_vector"
  shows "\<lbrakk>norm x < r; norm y < s\<rbrakk> \<Longrightarrow> norm (x + y) < r + s"
by (rule order_le_less_trans [OF norm_triangle_ineq add_strict_mono])

lemma norm_mult_less:
  fixes x y :: "'a::real_normed_algebra"
  shows "\<lbrakk>norm x < r; norm y < s\<rbrakk> \<Longrightarrow> norm (x * y) < r * s"
apply (rule order_le_less_trans [OF norm_mult_ineq])
apply (simp add: mult_strict_mono')
done

lemma norm_of_real [simp]:
  "norm (of_real r :: 'a::real_normed_algebra_1) = \<bar>r\<bar>"
unfolding of_real_def by (simp add: norm_scaleR)

lemma norm_number_of [simp]:
  "norm (number_of w::'a::{number_ring,real_normed_algebra_1})
    = \<bar>number_of w\<bar>"
by (subst of_real_number_of_eq [symmetric], rule norm_of_real)

lemma norm_of_int [simp]:
  "norm (of_int z::'a::real_normed_algebra_1) = \<bar>of_int z\<bar>"
by (subst of_real_of_int_eq [symmetric], rule norm_of_real)

lemma norm_of_nat [simp]:
  "norm (of_nat n::'a::real_normed_algebra_1) = of_nat n"
apply (subst of_real_of_nat_eq [symmetric])
apply (subst norm_of_real, simp)
done

lemma nonzero_norm_inverse:
  fixes a :: "'a::real_normed_div_algebra"
  shows "a \<noteq> 0 \<Longrightarrow> norm (inverse a) = inverse (norm a)"
apply (rule inverse_unique [symmetric])
apply (simp add: norm_mult [symmetric])
done

lemma norm_inverse:
  fixes a :: "'a::{real_normed_div_algebra,division_by_zero}"
  shows "norm (inverse a) = inverse (norm a)"
apply (case_tac "a = 0", simp)
apply (erule nonzero_norm_inverse)
done

lemma nonzero_norm_divide:
  fixes a b :: "'a::real_normed_field"
  shows "b \<noteq> 0 \<Longrightarrow> norm (a / b) = norm a / norm b"
by (simp add: divide_inverse norm_mult nonzero_norm_inverse)

lemma norm_divide:
  fixes a b :: "'a::{real_normed_field,division_by_zero}"
  shows "norm (a / b) = norm a / norm b"
by (simp add: divide_inverse norm_mult norm_inverse)

lemma norm_power_ineq:
  fixes x :: "'a::{real_normed_algebra_1,recpower}"
  shows "norm (x ^ n) \<le> norm x ^ n"
proof (induct n)
  case 0 show "norm (x ^ 0) \<le> norm x ^ 0" by simp
next
  case (Suc n)
  have "norm (x * x ^ n) \<le> norm x * norm (x ^ n)"
    by (rule norm_mult_ineq)
  also from Suc have "\<dots> \<le> norm x * norm x ^ n"
    using norm_ge_zero by (rule mult_left_mono)
  finally show "norm (x ^ Suc n) \<le> norm x ^ Suc n"
    by (simp add: power_Suc)
qed

lemma norm_power:
  fixes x :: "'a::{real_normed_div_algebra,recpower}"
  shows "norm (x ^ n) = norm x ^ n"
by (induct n) (simp_all add: power_Suc norm_mult)


subsection {* Bounded Linear and Bilinear Operators *}

locale bounded_linear = additive +
  constrains f :: "'a::real_normed_vector \<Rightarrow> 'b::real_normed_vector"
  assumes scaleR: "f (scaleR r x) = scaleR r (f x)"
  assumes bounded: "\<exists>K. \<forall>x. norm (f x) \<le> norm x * K"

lemma (in bounded_linear) pos_bounded:
  "\<exists>K>0. \<forall>x. norm (f x) \<le> norm x * K"
proof -
  obtain K where K: "\<And>x. norm (f x) \<le> norm x * K"
    using bounded by fast
  show ?thesis
  proof (intro exI impI conjI allI)
    show "0 < max 1 K"
      by (rule order_less_le_trans [OF zero_less_one le_maxI1])
  next
    fix x
    have "norm (f x) \<le> norm x * K" using K .
    also have "\<dots> \<le> norm x * max 1 K"
      by (rule mult_left_mono [OF le_maxI2 norm_ge_zero])
    finally show "norm (f x) \<le> norm x * max 1 K" .
  qed
qed

lemma (in bounded_linear) nonneg_bounded:
  "\<exists>K\<ge>0. \<forall>x. norm (f x) \<le> norm x * K"
proof -
  from pos_bounded
  show ?thesis by (auto intro: order_less_imp_le)
qed

locale bounded_bilinear =
  fixes prod :: "['a::real_normed_vector, 'b::real_normed_vector]
                 \<Rightarrow> 'c::real_normed_vector"
    (infixl "**" 70)
  assumes add_left: "prod (a + a') b = prod a b + prod a' b"
  assumes add_right: "prod a (b + b') = prod a b + prod a b'"
  assumes scaleR_left: "prod (scaleR r a) b = scaleR r (prod a b)"
  assumes scaleR_right: "prod a (scaleR r b) = scaleR r (prod a b)"
  assumes bounded: "\<exists>K. \<forall>a b. norm (prod a b) \<le> norm a * norm b * K"

lemma (in bounded_bilinear) pos_bounded:
  "\<exists>K>0. \<forall>a b. norm (a ** b) \<le> norm a * norm b * K"
apply (cut_tac bounded, erule exE)
apply (rule_tac x="max 1 K" in exI, safe)
apply (rule order_less_le_trans [OF zero_less_one le_maxI1])
apply (drule spec, drule spec, erule order_trans)
apply (rule mult_left_mono [OF le_maxI2])
apply (intro mult_nonneg_nonneg norm_ge_zero)
done

lemma (in bounded_bilinear) nonneg_bounded:
  "\<exists>K\<ge>0. \<forall>a b. norm (a ** b) \<le> norm a * norm b * K"
proof -
  from pos_bounded
  show ?thesis by (auto intro: order_less_imp_le)
qed

lemma (in bounded_bilinear) additive_right: "additive (\<lambda>b. prod a b)"
by (rule additive.intro, rule add_right)

lemma (in bounded_bilinear) additive_left: "additive (\<lambda>a. prod a b)"
by (rule additive.intro, rule add_left)

lemma (in bounded_bilinear) zero_left: "prod 0 b = 0"
by (rule additive.zero [OF additive_left])

lemma (in bounded_bilinear) zero_right: "prod a 0 = 0"
by (rule additive.zero [OF additive_right])

lemma (in bounded_bilinear) minus_left: "prod (- a) b = - prod a b"
by (rule additive.minus [OF additive_left])

lemma (in bounded_bilinear) minus_right: "prod a (- b) = - prod a b"
by (rule additive.minus [OF additive_right])

lemma (in bounded_bilinear) diff_left:
  "prod (a - a') b = prod a b - prod a' b"
by (rule additive.diff [OF additive_left])

lemma (in bounded_bilinear) diff_right:
  "prod a (b - b') = prod a b - prod a b'"
by (rule additive.diff [OF additive_right])

lemma (in bounded_bilinear) bounded_linear_left:
  "bounded_linear (\<lambda>a. a ** b)"
apply (unfold_locales)
apply (rule add_left)
apply (rule scaleR_left)
apply (cut_tac bounded, safe)
apply (rule_tac x="norm b * K" in exI)
apply (simp add: mult_ac)
done

lemma (in bounded_bilinear) bounded_linear_right:
  "bounded_linear (\<lambda>b. a ** b)"
apply (unfold_locales)
apply (rule add_right)
apply (rule scaleR_right)
apply (cut_tac bounded, safe)
apply (rule_tac x="norm a * K" in exI)
apply (simp add: mult_ac)
done

lemma (in bounded_bilinear) prod_diff_prod:
  "(x ** y - a ** b) = (x - a) ** (y - b) + (x - a) ** b + a ** (y - b)"
by (simp add: diff_left diff_right)

interpretation bounded_bilinear_mult:
  bounded_bilinear ["op * :: 'a \<Rightarrow> 'a \<Rightarrow> 'a::real_normed_algebra"]
apply (rule bounded_bilinear.intro)
apply (rule left_distrib)
apply (rule right_distrib)
apply (rule mult_scaleR_left)
apply (rule mult_scaleR_right)
apply (rule_tac x="1" in exI)
apply (simp add: norm_mult_ineq)
done

interpretation bounded_linear_mult_left:
  bounded_linear ["(\<lambda>x::'a::real_normed_algebra. x * y)"]
by (rule bounded_bilinear_mult.bounded_linear_left)

interpretation bounded_linear_mult_right:
  bounded_linear ["(\<lambda>y::'a::real_normed_algebra. x * y)"]
by (rule bounded_bilinear_mult.bounded_linear_right)

interpretation bounded_bilinear_scaleR:
  bounded_bilinear ["scaleR"]
apply (rule bounded_bilinear.intro)
apply (rule scaleR_left_distrib)
apply (rule scaleR_right_distrib)
apply (simp add: real_scaleR_def)
apply (rule scaleR_left_commute)
apply (rule_tac x="1" in exI)
apply (simp add: norm_scaleR)
done

interpretation bounded_linear_of_real:
  bounded_linear ["\<lambda>r. of_real r"]
apply (unfold of_real_def)
apply (rule bounded_bilinear_scaleR.bounded_linear_left)
done

end