Theory Bounded_Continuous_Function

theory Bounded_Continuous_Function
imports Henstock_Kurzweil_Integration
section ‹Bounded Continuous Functions›

theory Bounded_Continuous_Function

subsection ‹Definition›

definition "bcontfun = {f. continuous_on UNIV f ∧ bounded (range f)}"

typedef (overloaded) ('a, 'b) bcontfun ("(_ ⇒C /_)" [22, 21] 21) =
  "bcontfun::('a::topological_space ⇒ 'b::metric_space) set"
  morphisms apply_bcontfun Bcontfun
  by (auto intro: continuous_intros simp: bounded_def bcontfun_def)

declare [[coercion "apply_bcontfun :: ('a::topological_space ⇒C'b::metric_space) ⇒ 'a ⇒ 'b"]]

setup_lifting type_definition_bcontfun

lemma continuous_on_apply_bcontfun[intro, simp]: "continuous_on T (apply_bcontfun x)"
  and bounded_apply_bcontfun[intro, simp]: "bounded (range (apply_bcontfun x))"
  using apply_bcontfun[of x]
  by (auto simp: bcontfun_def intro: continuous_on_subset)

lemma bcontfun_eqI: "(⋀x. apply_bcontfun f x = apply_bcontfun g x) ⟹ f = g"
  by transfer auto

lemma bcontfunE:
  assumes "f ∈ bcontfun"
  obtains g where "f = apply_bcontfun g"
  by (blast intro: apply_bcontfun_cases assms )

lemma const_bcontfun: "(λx. b) ∈ bcontfun"
  by (auto simp: bcontfun_def continuous_on_const image_def)

lift_definition const_bcontfun::"'b::metric_space ⇒ ('a::topological_space ⇒C 'b)" is "λc _. c"
  by (rule const_bcontfun)

(* TODO: Generalize to uniform spaces? *)
instantiation bcontfun :: (topological_space, metric_space) metric_space

lift_definition dist_bcontfun :: "'a ⇒C 'b ⇒ 'a ⇒C 'b ⇒ real"
  is "λf g. (SUP x. dist (f x) (g x))" .

definition uniformity_bcontfun :: "('a ⇒C 'b × 'a ⇒C 'b) filter"
  where "uniformity_bcontfun = (INF e:{0 <..}. principal {(x, y). dist x y < e})"

definition open_bcontfun :: "('a ⇒C 'b) set ⇒ bool"
  where "open_bcontfun S = (∀x∈S. ∀F (x', y) in uniformity. x' = x ⟶ y ∈ S)"

lemma bounded_dist_le_SUP_dist:
  "bounded (range f) ⟹ bounded (range g) ⟹ dist (f x) (g x) ≤ (SUP x. dist (f x) (g x))"
  by (auto intro!: cSUP_upper bounded_imp_bdd_above bounded_dist_comp)

lemma dist_bounded:
  fixes f g :: "'a ⇒C 'b"
  shows "dist (f x) (g x) ≤ dist f g"
  by transfer (auto intro!: bounded_dist_le_SUP_dist simp: bcontfun_def)

lemma dist_bound:
  fixes f g :: "'a ⇒C 'b"
  assumes "⋀x. dist (f x) (g x) ≤ b"
  shows "dist f g ≤ b"
  using assms
  by transfer (auto intro!: cSUP_least)

lemma dist_fun_lt_imp_dist_val_lt:
  fixes f g :: "'a ⇒C 'b"
  assumes "dist f g < e"
  shows "dist (f x) (g x) < e"
  using dist_bounded assms by (rule le_less_trans)

  fix f g h :: "'a ⇒C 'b"
  show "dist f g = 0 ⟷ f = g"
    have "⋀x. dist (f x) (g x) ≤ dist f g"
      by (rule dist_bounded)
    also assume "dist f g = 0"
    finally show "f = g"
      by (auto simp: apply_bcontfun_inject[symmetric])
  qed (auto simp: dist_bcontfun_def intro!: cSup_eq)
  show "dist f g ≤ dist f h + dist g h"
  proof (rule dist_bound)
    fix x
    have "dist (f x) (g x) ≤ dist (f x) (h x) + dist (g x) (h x)"
      by (rule dist_triangle2)
    also have "dist (f x) (h x) ≤ dist f h"
      by (rule dist_bounded)
    also have "dist (g x) (h x) ≤ dist g h"
      by (rule dist_bounded)
    finally show "dist (f x) (g x) ≤ dist f h + dist g h"
      by simp
qed (rule open_bcontfun_def uniformity_bcontfun_def)+


lift_definition PiC::"'a::topological_space set ⇒ ('a ⇒ 'b set) ⇒ ('a ⇒C 'b::metric_space) set"
  is "λI X. Pi I X ∩ bcontfun"
  by auto

lemma mem_PiC_iff: "x ∈ PiC I X ⟷ apply_bcontfun x ∈ Pi I X"
  by transfer simp

lemmas mem_PiCD = mem_PiC_iff[THEN iffD1]
  and mem_PiCI = mem_PiC_iff[THEN iffD2]

lemma tendsto_bcontfun_uniform_limit:
  fixes f::"'i ⇒ 'a::topological_space ⇒C 'b::metric_space"
  assumes "(f ⤏ l) F"
  shows "uniform_limit UNIV f l F"
proof (rule uniform_limitI)
  fix e::real assume "e > 0"
  from tendstoD[OF assms this] have "∀F x in F. dist (f x) l < e" .
  then show "∀F n in F. ∀x∈UNIV. dist ((f n) x) (l x) < e"
    by eventually_elim (auto simp: dist_fun_lt_imp_dist_val_lt)

lemma uniform_limit_tendsto_bcontfun:
  fixes f::"'i ⇒ 'a::topological_space ⇒C 'b::metric_space"
    and l::"'a::topological_space ⇒C 'b::metric_space"
  assumes "uniform_limit UNIV f l F"
  shows "(f ⤏ l) F"
proof (rule tendstoI)
  fix e::real assume "e > 0"
  then have "e / 2 > 0" by simp
  from uniform_limitD[OF assms this]
  have "∀F i in F. ∀x. dist (f i x) (l x) < e / 2" by simp
  then have "∀F x in F. dist (f x) l ≤ e / 2"
    by eventually_elim (blast intro: dist_bound less_imp_le)
  then show "∀F x in F. dist (f x) l < e"
    by eventually_elim (use ‹0 < e› in auto)

lemma uniform_limit_bcontfunE:
  fixes f::"'i ⇒ 'a::topological_space ⇒C 'b::metric_space"
    and l::"'a::topological_space ⇒ 'b::metric_space"
  assumes "uniform_limit UNIV f l F" "F ≠ bot"
  obtains l'::"'a::topological_space ⇒C 'b::metric_space"
  where "l = l'" "(f ⤏ l') F"
  by (metis (mono_tags, lifting) always_eventually apply_bcontfun apply_bcontfun_cases assms
      bcontfun_def mem_Collect_eq uniform_limit_bounded uniform_limit_tendsto_bcontfun

lemma closed_PiC:
  fixes I :: "'a::metric_space set"
    and X :: "'a ⇒ 'b::complete_space set"
  assumes "⋀i. i ∈ I ⟹ closed (X i)"
  shows "closed (PiC I X)"
  unfolding closed_sequential_limits
proof safe
  fix f l
  assume seq: "∀n. f n ∈ PiC I X" and lim: "f ⇢ l"
  show "l ∈ PiC I X"
  proof (safe intro!: mem_PiCI)
    fix x assume "x ∈ I"
    then have "closed (X x)"
      using assms by simp
    moreover have "eventually (λi. f i x ∈ X x) sequentially"
      using seq ‹x ∈ I›
      by (auto intro!: eventuallyI dest!: mem_PiCD simp: Pi_iff)
    moreover note sequentially_bot
    moreover have "(λn. (f n) x) ⇢ l x"
      using tendsto_bcontfun_uniform_limit[OF lim]
      by (rule tendsto_uniform_limitI) simp
    ultimately show "l x ∈ X x"
      by (rule Lim_in_closed_set)

subsection ‹Complete Space›

instance bcontfun :: (metric_space, complete_space) complete_space
  fix f :: "nat ⇒ ('a, 'b) bcontfun"
  assume "Cauchy f"   ‹Cauchy equals uniform convergence›
  then obtain g where "uniform_limit UNIV f g sequentially"
    using uniformly_convergent_eq_cauchy[of "λ_. True" f]
    unfolding Cauchy_def uniform_limit_sequentially_iff
    by (metis dist_fun_lt_imp_dist_val_lt)

  from uniform_limit_bcontfunE[OF this sequentially_bot]
  obtain l' where "g = apply_bcontfun l'" "(f ⇢ l')" by metis
  then show "convergent f"
    by (intro convergentI)

subsection ‹Supremum norm for a normed vector space›

instantiation bcontfun :: (topological_space, real_normed_vector) real_vector

lemma uminus_cont: "f ∈ bcontfun ⟹ (λx. - f x) ∈ bcontfun" for f::"'a ⇒ 'b"
  by (auto simp: bcontfun_def intro!: continuous_intros)

lemma plus_cont: "f ∈ bcontfun ⟹ g ∈ bcontfun ⟹ (λx. f x + g x) ∈ bcontfun" for f g::"'a ⇒ 'b"
  by (auto simp: bcontfun_def intro!: continuous_intros bounded_plus_comp)

lemma minus_cont: "f ∈ bcontfun ⟹ g ∈ bcontfun ⟹ (λx. f x - g x) ∈ bcontfun" for f g::"'a ⇒ 'b"
  by (auto simp: bcontfun_def intro!: continuous_intros bounded_minus_comp)

lemma scaleR_cont: "f ∈ bcontfun ⟹ (λx. a *R f x) ∈ bcontfun" for f :: "'a ⇒ 'b"
  by (auto simp: bcontfun_def intro!: continuous_intros bounded_scaleR_comp)

lemma bcontfun_normI: "continuous_on UNIV f ⟹ (⋀x. norm (f x) ≤ b) ⟹ f ∈ bcontfun"
  by (auto simp: bcontfun_def intro: boundedI)

lift_definition uminus_bcontfun::"('a ⇒C 'b) ⇒ 'a ⇒C 'b" is "λf x. - f x"
  by (rule uminus_cont)

lift_definition plus_bcontfun::"('a ⇒C 'b) ⇒ ('a ⇒C 'b) ⇒ 'a ⇒C 'b"  is "λf g x. f x + g x"
  by (rule plus_cont)

lift_definition minus_bcontfun::"('a ⇒C 'b) ⇒ ('a ⇒C 'b) ⇒ 'a ⇒C 'b"  is "λf g x. f x - g x"
  by (rule minus_cont)

lift_definition zero_bcontfun::"'a ⇒C 'b" is "λ_. 0"
  by (rule const_bcontfun)

lemma const_bcontfun_0_eq_0[simp]: "const_bcontfun 0 = 0"
  by transfer simp

lift_definition scaleR_bcontfun::"real ⇒ ('a ⇒C 'b) ⇒ 'a ⇒C 'b"  is "λr g x. r *R g x"
  by (rule scaleR_cont)

lemmas [simp] =

  by standard (auto intro!: bcontfun_eqI simp: algebra_simps)


lemma bounded_norm_le_SUP_norm:
  "bounded (range f) ⟹ norm (f x) ≤ (SUP x. norm (f x))"
  by (auto intro!: cSUP_upper bounded_imp_bdd_above simp: bounded_norm_comp)

instantiation bcontfun :: (topological_space, real_normed_vector) real_normed_vector

definition norm_bcontfun :: "('a, 'b) bcontfun ⇒ real"
  where "norm_bcontfun f = dist f 0"

definition "sgn (f::('a,'b) bcontfun) = f /R norm f"

  fix a :: real
  fix f g :: "('a, 'b) bcontfun"
  show "dist f g = norm (f - g)"
    unfolding norm_bcontfun_def
    by transfer (simp add: dist_norm)
  show "norm (f + g) ≤ norm f + norm g"
    unfolding norm_bcontfun_def
    by transfer
      (auto intro!: cSUP_least norm_triangle_le add_mono bounded_norm_le_SUP_norm
        simp: dist_norm bcontfun_def)
  show "norm (a *R f) = ¦a¦ * norm f"
    unfolding norm_bcontfun_def
    apply transfer
    by (rule trans[OF _ continuous_at_Sup_mono[symmetric]])
      (auto intro!: monoI mult_left_mono continuous_intros bounded_imp_bdd_above
        simp: bounded_norm_comp bcontfun_def)
qed (auto simp: norm_bcontfun_def sgn_bcontfun_def)


lemma norm_bounded:
  fixes f :: "('a::topological_space, 'b::real_normed_vector) bcontfun"
  shows "norm (apply_bcontfun f x) ≤ norm f"
  using dist_bounded[of f x 0]
  by (simp add: dist_norm)

lemma norm_bound:
  fixes f :: "('a::topological_space, 'b::real_normed_vector) bcontfun"
  assumes "⋀x. norm (apply_bcontfun f x) ≤ b"
  shows "norm f ≤ b"
  using dist_bound[of f 0 b] assms
  by (simp add: dist_norm)

subsection ‹(bounded) continuous extenstion›

lemma integral_clamp:
  "integral {t0::real..clamp t0 t1 x} f =
    (if x < t0 then 0 else if x ≤ t1 then integral {t0..x} f else integral {t0..t1} f)"
  by (auto simp: clamp_def)

lemma continuous_on_interval_bcontfunE:
  fixes f::"'a::ordered_euclidean_space ⇒ 'b::metric_space"
  assumes "continuous_on {a .. b} f"
  obtains g::"'a ⇒C 'b" where
    "⋀x. a ≤ x ⟹ x ≤ b ⟹ g x = f x"
    "⋀x. g x = f (clamp a b x)"
proof -
  define g where "g ≡ ext_cont f a b"
  have "g ∈ bcontfun"
    using assms
    by (auto intro!: continuous_on_ext_cont simp: g_def cbox_interval bcontfun_def)
      (auto simp: g_def ext_cont_def cbox_interval
        intro!: compact_interval clamp_bounded compact_imp_bounded[OF compact_continuous_image] assms)
  then obtain h where h: "g = apply_bcontfun h" by (rule bcontfunE)
  then have "h x = f x" if "a ≤ x" "x ≤ b" for x
    by (auto simp: h[symmetric] g_def cbox_interval that)
  have "h x = f (clamp a b x)" for x
    by (auto simp: h[symmetric] g_def ext_cont_def)
  ultimately show ?thesis ..

lifting_update bcontfun.lifting
lifting_forget bcontfun.lifting