diff --git a/src/HOL/Analysis/Elementary_Metric_Spaces.thy b/src/HOL/Analysis/Elementary_Metric_Spaces.thy
--- a/src/HOL/Analysis/Elementary_Metric_Spaces.thy
+++ b/src/HOL/Analysis/Elementary_Metric_Spaces.thy
@@ -1,3313 +1,3311 @@
 (*  Author:     L C Paulson, University of Cambridge
     Author:     Amine Chaieb, University of Cambridge
     Author:     Robert Himmelmann, TU Muenchen
     Author:     Brian Huffman, Portland State University
 *)
 
-chapter \<open>Functional Analysis\<close>
+section \<open>Elementary Metric Spaces\<close>
 
 theory Elementary_Metric_Spaces
   imports
     Abstract_Topology_2
     Metric_Arith
 begin
 
-section \<open>Elementary Metric Spaces\<close>
-
 subsection \<open>Open and closed balls\<close>
 
 definition\<^marker>\<open>tag important\<close> ball :: "'a::metric_space \<Rightarrow> real \<Rightarrow> 'a set"
   where "ball x e = {y. dist x y < e}"
 
 definition\<^marker>\<open>tag important\<close> cball :: "'a::metric_space \<Rightarrow> real \<Rightarrow> 'a set"
   where "cball x e = {y. dist x y \<le> e}"
 
 definition\<^marker>\<open>tag important\<close> sphere :: "'a::metric_space \<Rightarrow> real \<Rightarrow> 'a set"
   where "sphere x e = {y. dist x y = e}"
 
 lemma mem_ball [simp, metric_unfold]: "y \<in> ball x e \<longleftrightarrow> dist x y < e"
   by (simp add: ball_def)
 
 lemma mem_cball [simp, metric_unfold]: "y \<in> cball x e \<longleftrightarrow> dist x y \<le> e"
   by (simp add: cball_def)
 
 lemma mem_sphere [simp]: "y \<in> sphere x e \<longleftrightarrow> dist x y = e"
   by (simp add: sphere_def)
 
 lemma ball_trivial [simp]: "ball x 0 = {}"
   by (simp add: ball_def)
 
 lemma cball_trivial [simp]: "cball x 0 = {x}"
   by (simp add: cball_def)
 
 lemma sphere_trivial [simp]: "sphere x 0 = {x}"
   by (simp add: sphere_def)
 
 lemma disjoint_ballI: "dist x y \<ge> r+s \<Longrightarrow> ball x r \<inter> ball y s = {}"
   using dist_triangle_less_add not_le by fastforce
 
 lemma disjoint_cballI: "dist x y > r + s \<Longrightarrow> cball x r \<inter> cball y s = {}"
   by (metis add_mono disjoint_iff_not_equal dist_triangle2 dual_order.trans leD mem_cball)
 
 lemma sphere_empty [simp]: "r < 0 \<Longrightarrow> sphere a r = {}"
   for a :: "'a::metric_space"
   by auto
 
 lemma centre_in_ball [simp]: "x \<in> ball x e \<longleftrightarrow> 0 < e"
   by simp
 
 lemma centre_in_cball [simp]: "x \<in> cball x e \<longleftrightarrow> 0 \<le> e"
   by simp
 
 lemma ball_subset_cball [simp, intro]: "ball x e \<subseteq> cball x e"
   by (simp add: subset_eq)
 
 lemma mem_ball_imp_mem_cball: "x \<in> ball y e \<Longrightarrow> x \<in> cball y e"
   by (auto)
 
 lemma sphere_cball [simp,intro]: "sphere z r \<subseteq> cball z r"
   by force
 
 lemma cball_diff_sphere: "cball a r - sphere a r = ball a r"
   by auto
 
 lemma subset_ball[intro]: "d \<le> e \<Longrightarrow> ball x d \<subseteq> ball x e"
   by (simp add: subset_eq)
 
 lemma subset_cball[intro]: "d \<le> e \<Longrightarrow> cball x d \<subseteq> cball x e"
   by (simp add: subset_eq)
 
 lemma mem_ball_leI: "x \<in> ball y e \<Longrightarrow> e \<le> f \<Longrightarrow> x \<in> ball y f"
   by (auto)
 
 lemma mem_cball_leI: "x \<in> cball y e \<Longrightarrow> e \<le> f \<Longrightarrow> x \<in> cball y f"
   by (auto)
 
 lemma cball_trans: "y \<in> cball z b \<Longrightarrow> x \<in> cball y a \<Longrightarrow> x \<in> cball z (b + a)"
   by metric
 
 lemma ball_max_Un: "ball a (max r s) = ball a r \<union> ball a s"
   by (simp add: set_eq_iff) arith
 
 lemma ball_min_Int: "ball a (min r s) = ball a r \<inter> ball a s"
   by (simp add: set_eq_iff)
 
 lemma cball_max_Un: "cball a (max r s) = cball a r \<union> cball a s"
   by (simp add: set_eq_iff) arith
 
 lemma cball_min_Int: "cball a (min r s) = cball a r \<inter> cball a s"
   by (simp add: set_eq_iff)
 
 lemma cball_diff_eq_sphere: "cball a r - ball a r =  sphere a r"
   by (auto simp: cball_def ball_def dist_commute)
 
 lemma open_ball [intro, simp]: "open (ball x e)"
 proof -
   have "open (dist x -` {..<e})"
     by (intro open_vimage open_lessThan continuous_intros)
   also have "dist x -` {..<e} = ball x e"
     by auto
   finally show ?thesis .
 qed
 
 lemma open_contains_ball: "open S \<longleftrightarrow> (\<forall>x\<in>S. \<exists>e>0. ball x e \<subseteq> S)"
   by (simp add: open_dist subset_eq mem_ball Ball_def dist_commute)
 
 lemma openI [intro?]: "(\<And>x. x\<in>S \<Longrightarrow> \<exists>e>0. ball x e \<subseteq> S) \<Longrightarrow> open S"
   by (auto simp: open_contains_ball)
 
 lemma openE[elim?]:
   assumes "open S" "x\<in>S"
   obtains e where "e>0" "ball x e \<subseteq> S"
   using assms unfolding open_contains_ball by auto
 
 lemma open_contains_ball_eq: "open S \<Longrightarrow> x\<in>S \<longleftrightarrow> (\<exists>e>0. ball x e \<subseteq> S)"
   by (metis open_contains_ball subset_eq centre_in_ball)
 
 lemma ball_eq_empty[simp]: "ball x e = {} \<longleftrightarrow> e \<le> 0"
   unfolding mem_ball set_eq_iff
   by (simp add: not_less) metric
 
 lemma ball_empty: "e \<le> 0 \<Longrightarrow> ball x e = {}" by simp
 
 lemma closed_cball [iff]: "closed (cball x e)"
 proof -
   have "closed (dist x -` {..e})"
     by (intro closed_vimage closed_atMost continuous_intros)
   also have "dist x -` {..e} = cball x e"
     by auto
   finally show ?thesis .
 qed
 
 lemma open_contains_cball: "open S \<longleftrightarrow> (\<forall>x\<in>S. \<exists>e>0.  cball x e \<subseteq> S)"
 proof -
   {
     fix x and e::real
     assume "x\<in>S" "e>0" "ball x e \<subseteq> S"
     then have "\<exists>d>0. cball x d \<subseteq> S" unfolding subset_eq by (rule_tac x="e/2" in exI, auto)
   }
   moreover
   {
     fix x and e::real
     assume "x\<in>S" "e>0" "cball x e \<subseteq> S"
     then have "\<exists>d>0. ball x d \<subseteq> S"
       unfolding subset_eq
       apply (rule_tac x="e/2" in exI, auto)
       done
   }
   ultimately show ?thesis
     unfolding open_contains_ball by auto
 qed
 
 lemma open_contains_cball_eq: "open S \<Longrightarrow> (\<forall>x. x \<in> S \<longleftrightarrow> (\<exists>e>0. cball x e \<subseteq> S))"
   by (metis open_contains_cball subset_eq order_less_imp_le centre_in_cball)
 
 lemma eventually_nhds_ball: "d > 0 \<Longrightarrow> eventually (\<lambda>x. x \<in> ball z d) (nhds z)"
   by (rule eventually_nhds_in_open) simp_all
 
 lemma eventually_at_ball: "d > 0 \<Longrightarrow> eventually (\<lambda>t. t \<in> ball z d \<and> t \<in> A) (at z within A)"
   unfolding eventually_at by (intro exI[of _ d]) (simp_all add: dist_commute)
 
 lemma eventually_at_ball': "d > 0 \<Longrightarrow> eventually (\<lambda>t. t \<in> ball z d \<and> t \<noteq> z \<and> t \<in> A) (at z within A)"
   unfolding eventually_at by (intro exI[of _ d]) (simp_all add: dist_commute)
 
 lemma at_within_ball: "e > 0 \<Longrightarrow> dist x y < e \<Longrightarrow> at y within ball x e = at y"
   by (subst at_within_open) auto
 
 lemma atLeastAtMost_eq_cball:
   fixes a b::real
   shows "{a .. b} = cball ((a + b)/2) ((b - a)/2)"
   by (auto simp: dist_real_def field_simps)
 
 lemma cball_eq_atLeastAtMost:
   fixes a b::real
   shows "cball a b = {a - b .. a + b}"
   by (auto simp: dist_real_def)
 
 lemma greaterThanLessThan_eq_ball:
   fixes a b::real
   shows "{a <..< b} = ball ((a + b)/2) ((b - a)/2)"
   by (auto simp: dist_real_def field_simps)
 
 lemma ball_eq_greaterThanLessThan:
   fixes a b::real
   shows "ball a b = {a - b <..< a + b}"
   by (auto simp: dist_real_def)
 
 lemma interior_ball [simp]: "interior (ball x e) = ball x e"
   by (simp add: interior_open)
 
 lemma cball_eq_empty [simp]: "cball x e = {} \<longleftrightarrow> e < 0"
   apply (simp add: set_eq_iff not_le)
   apply (metis zero_le_dist dist_self order_less_le_trans)
   done
 
 lemma cball_empty [simp]: "e < 0 \<Longrightarrow> cball x e = {}"
   by simp
 
 lemma cball_sing:
   fixes x :: "'a::metric_space"
   shows "e = 0 \<Longrightarrow> cball x e = {x}"
   by (auto simp: set_eq_iff)
 
 lemma ball_divide_subset: "d \<ge> 1 \<Longrightarrow> ball x (e/d) \<subseteq> ball x e"
   apply (cases "e \<le> 0")
   apply (simp add: ball_empty field_split_simps)
   apply (rule subset_ball)
   apply (simp add: field_split_simps)
   done
 
 lemma ball_divide_subset_numeral: "ball x (e / numeral w) \<subseteq> ball x e"
   using ball_divide_subset one_le_numeral by blast
 
 lemma cball_divide_subset: "d \<ge> 1 \<Longrightarrow> cball x (e/d) \<subseteq> cball x e"
   apply (cases "e < 0")
   apply (simp add: field_split_simps)
   apply (rule subset_cball)
   apply (metis div_by_1 frac_le not_le order_refl zero_less_one)
   done
 
 lemma cball_divide_subset_numeral: "cball x (e / numeral w) \<subseteq> cball x e"
   using cball_divide_subset one_le_numeral by blast
 
 lemma cball_scale:
   assumes "a \<noteq> 0"
   shows   "(\<lambda>x. a *\<^sub>R x) ` cball c r = cball (a *\<^sub>R c :: 'a :: real_normed_vector) (\<bar>a\<bar> * r)"
 proof -
   have 1: "(\<lambda>x. a *\<^sub>R x) ` cball c r \<subseteq> cball (a *\<^sub>R c) (\<bar>a\<bar> * r)" if "a \<noteq> 0" for a r and c :: 'a
   proof safe
     fix x
     assume x: "x \<in> cball c r"
     have "dist (a *\<^sub>R c) (a *\<^sub>R x) = norm (a *\<^sub>R c - a *\<^sub>R x)"
       by (auto simp: dist_norm)
     also have "a *\<^sub>R c - a *\<^sub>R x = a *\<^sub>R (c - x)"
       by (simp add: algebra_simps)
     finally show "a *\<^sub>R x \<in> cball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
       using that x by (auto simp: dist_norm)
   qed
 
   have "cball (a *\<^sub>R c) (\<bar>a\<bar> * r) = (\<lambda>x. a *\<^sub>R x) ` (\<lambda>x. inverse a *\<^sub>R x) ` cball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
     unfolding image_image using assms by simp
   also have "\<dots> \<subseteq> (\<lambda>x. a *\<^sub>R x) ` cball (inverse a *\<^sub>R (a *\<^sub>R c)) (\<bar>inverse a\<bar> * (\<bar>a\<bar> * r))"
     using assms by (intro image_mono 1) auto
   also have "\<dots> = (\<lambda>x. a *\<^sub>R x) ` cball c r"
     using assms by (simp add: algebra_simps)
   finally have "cball (a *\<^sub>R c) (\<bar>a\<bar> * r) \<subseteq> (\<lambda>x. a *\<^sub>R x) ` cball c r" .
   moreover from assms have "(\<lambda>x. a *\<^sub>R x) ` cball c r \<subseteq> cball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
     by (intro 1) auto
   ultimately show ?thesis by blast
 qed
 
 lemma ball_scale:
   assumes "a \<noteq> 0"
   shows   "(\<lambda>x. a *\<^sub>R x) ` ball c r = ball (a *\<^sub>R c :: 'a :: real_normed_vector) (\<bar>a\<bar> * r)"
 proof -
   have 1: "(\<lambda>x. a *\<^sub>R x) ` ball c r \<subseteq> ball (a *\<^sub>R c) (\<bar>a\<bar> * r)" if "a \<noteq> 0" for a r and c :: 'a
   proof safe
     fix x
     assume x: "x \<in> ball c r"
     have "dist (a *\<^sub>R c) (a *\<^sub>R x) = norm (a *\<^sub>R c - a *\<^sub>R x)"
       by (auto simp: dist_norm)
     also have "a *\<^sub>R c - a *\<^sub>R x = a *\<^sub>R (c - x)"
       by (simp add: algebra_simps)
     finally show "a *\<^sub>R x \<in> ball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
       using that x by (auto simp: dist_norm)
   qed
 
   have "ball (a *\<^sub>R c) (\<bar>a\<bar> * r) = (\<lambda>x. a *\<^sub>R x) ` (\<lambda>x. inverse a *\<^sub>R x) ` ball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
     unfolding image_image using assms by simp
   also have "\<dots> \<subseteq> (\<lambda>x. a *\<^sub>R x) ` ball (inverse a *\<^sub>R (a *\<^sub>R c)) (\<bar>inverse a\<bar> * (\<bar>a\<bar> * r))"
     using assms by (intro image_mono 1) auto
   also have "\<dots> = (\<lambda>x. a *\<^sub>R x) ` ball c r"
     using assms by (simp add: algebra_simps)
   finally have "ball (a *\<^sub>R c) (\<bar>a\<bar> * r) \<subseteq> (\<lambda>x. a *\<^sub>R x) ` ball c r" .
   moreover from assms have "(\<lambda>x. a *\<^sub>R x) ` ball c r \<subseteq> ball (a *\<^sub>R c) (\<bar>a\<bar> * r)"
     by (intro 1) auto
   ultimately show ?thesis by blast
 qed
 
 subsection \<open>Limit Points\<close>
 
 lemma islimpt_approachable:
   fixes x :: "'a::metric_space"
   shows "x islimpt S \<longleftrightarrow> (\<forall>e>0. \<exists>x'\<in>S. x' \<noteq> x \<and> dist x' x < e)"
   unfolding islimpt_iff_eventually eventually_at by fast
 
 lemma islimpt_approachable_le: "x islimpt S \<longleftrightarrow> (\<forall>e>0. \<exists>x'\<in> S. x' \<noteq> x \<and> dist x' x \<le> e)"
   for x :: "'a::metric_space"
   unfolding islimpt_approachable
   using approachable_lt_le [where f="\<lambda>y. dist y x" and P="\<lambda>y. y \<notin> S \<or> y = x",
     THEN arg_cong [where f=Not]]
   by (simp add: Bex_def conj_commute conj_left_commute)
 
 lemma limpt_of_limpts: "x islimpt {y. y islimpt S} \<Longrightarrow> x islimpt S"
   for x :: "'a::metric_space"
   apply (clarsimp simp add: islimpt_approachable)
   apply (drule_tac x="e/2" in spec)
   apply (auto simp: simp del: less_divide_eq_numeral1)
   apply (drule_tac x="dist x' x" in spec)
   apply (auto simp del: less_divide_eq_numeral1)
   apply metric
   done
 
 lemma closed_limpts:  "closed {x::'a::metric_space. x islimpt S}"
   using closed_limpt limpt_of_limpts by blast
 
 lemma limpt_of_closure: "x islimpt closure S \<longleftrightarrow> x islimpt S"
   for x :: "'a::metric_space"
   by (auto simp: closure_def islimpt_Un dest: limpt_of_limpts)
 
 lemma islimpt_eq_infinite_ball: "x islimpt S \<longleftrightarrow> (\<forall>e>0. infinite(S \<inter> ball x e))"
   apply (simp add: islimpt_eq_acc_point, safe)
    apply (metis Int_commute open_ball centre_in_ball)
   by (metis open_contains_ball Int_mono finite_subset inf_commute subset_refl)
 
 lemma islimpt_eq_infinite_cball: "x islimpt S \<longleftrightarrow> (\<forall>e>0. infinite(S \<inter> cball x e))"
   apply (simp add: islimpt_eq_infinite_ball, safe)
    apply (meson Int_mono ball_subset_cball finite_subset order_refl)
   by (metis open_ball centre_in_ball finite_Int inf.absorb_iff2 inf_assoc open_contains_cball_eq)
 
 
 subsection \<open>Perfect Metric Spaces\<close>
 
 lemma perfect_choose_dist: "0 < r \<Longrightarrow> \<exists>a. a \<noteq> x \<and> dist a x < r"
   for x :: "'a::{perfect_space,metric_space}"
   using islimpt_UNIV [of x] by (simp add: islimpt_approachable)
 
 lemma cball_eq_sing:
   fixes x :: "'a::{metric_space,perfect_space}"
   shows "cball x e = {x} \<longleftrightarrow> e = 0"
 proof (rule linorder_cases)
   assume e: "0 < e"
   obtain a where "a \<noteq> x" "dist a x < e"
     using perfect_choose_dist [OF e] by auto
   then have "a \<noteq> x" "dist x a \<le> e"
     by (auto simp: dist_commute)
   with e show ?thesis by (auto simp: set_eq_iff)
 qed auto
 
 
 subsection \<open>?\<close>
 
 lemma finite_ball_include:
   fixes a :: "'a::metric_space"
   assumes "finite S" 
   shows "\<exists>e>0. S \<subseteq> ball a e"
   using assms
 proof induction
   case (insert x S)
   then obtain e0 where "e0>0" and e0:"S \<subseteq> ball a e0" by auto
   define e where "e = max e0 (2 * dist a x)"
   have "e>0" unfolding e_def using \<open>e0>0\<close> by auto
   moreover have "insert x S \<subseteq> ball a e"
     using e0 \<open>e>0\<close> unfolding e_def by auto
   ultimately show ?case by auto
 qed (auto intro: zero_less_one)
 
 lemma finite_set_avoid:
   fixes a :: "'a::metric_space"
   assumes "finite S"
   shows "\<exists>d>0. \<forall>x\<in>S. x \<noteq> a \<longrightarrow> d \<le> dist a x"
   using assms
 proof induction
   case (insert x S)
   then obtain d where "d > 0" and d: "\<forall>x\<in>S. x \<noteq> a \<longrightarrow> d \<le> dist a x"
     by blast
   show ?case
   proof (cases "x = a")
     case True
     with \<open>d > 0 \<close>d show ?thesis by auto
   next
     case False
     let ?d = "min d (dist a x)"
     from False \<open>d > 0\<close> have dp: "?d > 0"
       by auto
     from d have d': "\<forall>x\<in>S. x \<noteq> a \<longrightarrow> ?d \<le> dist a x"
       by auto
     with dp False show ?thesis
       by (metis insert_iff le_less min_less_iff_conj not_less)
   qed
 qed (auto intro: zero_less_one)
 
 lemma discrete_imp_closed:
   fixes S :: "'a::metric_space set"
   assumes e: "0 < e"
     and d: "\<forall>x \<in> S. \<forall>y \<in> S. dist y x < e \<longrightarrow> y = x"
   shows "closed S"
 proof -
   have False if C: "\<And>e. e>0 \<Longrightarrow> \<exists>x'\<in>S. x' \<noteq> x \<and> dist x' x < e" for x
   proof -
     from e have e2: "e/2 > 0" by arith
     from C[rule_format, OF e2] obtain y where y: "y \<in> S" "y \<noteq> x" "dist y x < e/2"
       by blast
     from e2 y(2) have mp: "min (e/2) (dist x y) > 0"
       by simp
     from d y C[OF mp] show ?thesis
       by metric
   qed
   then show ?thesis
     by (metis islimpt_approachable closed_limpt [where 'a='a])
 qed
 
 
 subsection \<open>Interior\<close>
 
 lemma mem_interior: "x \<in> interior S \<longleftrightarrow> (\<exists>e>0. ball x e \<subseteq> S)"
   using open_contains_ball_eq [where S="interior S"]
   by (simp add: open_subset_interior)
 
 lemma mem_interior_cball: "x \<in> interior S \<longleftrightarrow> (\<exists>e>0. cball x e \<subseteq> S)"
   by (meson ball_subset_cball interior_subset mem_interior open_contains_cball open_interior
       subset_trans)
 
 
 subsection \<open>Frontier\<close>
 
 lemma frontier_straddle:
   fixes a :: "'a::metric_space"
   shows "a \<in> frontier S \<longleftrightarrow> (\<forall>e>0. (\<exists>x\<in>S. dist a x < e) \<and> (\<exists>x. x \<notin> S \<and> dist a x < e))"
   unfolding frontier_def closure_interior
   by (auto simp: mem_interior subset_eq ball_def)
 
 
 subsection \<open>Limits\<close>
 
 proposition Lim: "(f \<longlongrightarrow> l) net \<longleftrightarrow> trivial_limit net \<or> (\<forall>e>0. eventually (\<lambda>x. dist (f x) l < e) net)"
   by (auto simp: tendsto_iff trivial_limit_eq)
 
 text \<open>Show that they yield usual definitions in the various cases.\<close>
 
 proposition Lim_within_le: "(f \<longlongrightarrow> l)(at a within S) \<longleftrightarrow>
     (\<forall>e>0. \<exists>d>0. \<forall>x\<in>S. 0 < dist x a \<and> dist x a \<le> d \<longrightarrow> dist (f x) l < e)"
   by (auto simp: tendsto_iff eventually_at_le)
 
 proposition Lim_within: "(f \<longlongrightarrow> l) (at a within S) \<longleftrightarrow>
     (\<forall>e >0. \<exists>d>0. \<forall>x \<in> S. 0 < dist x a \<and> dist x a  < d \<longrightarrow> dist (f x) l < e)"
   by (auto simp: tendsto_iff eventually_at)
 
 corollary Lim_withinI [intro?]:
   assumes "\<And>e. e > 0 \<Longrightarrow> \<exists>d>0. \<forall>x \<in> S. 0 < dist x a \<and> dist x a < d \<longrightarrow> dist (f x) l \<le> e"
   shows "(f \<longlongrightarrow> l) (at a within S)"
   apply (simp add: Lim_within, clarify)
   apply (rule ex_forward [OF assms [OF half_gt_zero]], auto)
   done
 
 proposition Lim_at: "(f \<longlongrightarrow> l) (at a) \<longleftrightarrow>
     (\<forall>e >0. \<exists>d>0. \<forall>x. 0 < dist x a \<and> dist x a < d  \<longrightarrow> dist (f x) l < e)"
   by (auto simp: tendsto_iff eventually_at)
 
 lemma Lim_transform_within_set:
   fixes a :: "'a::metric_space" and l :: "'b::metric_space"
   shows "\<lbrakk>(f \<longlongrightarrow> l) (at a within S); eventually (\<lambda>x. x \<in> S \<longleftrightarrow> x \<in> T) (at a)\<rbrakk>
          \<Longrightarrow> (f \<longlongrightarrow> l) (at a within T)"
 apply (clarsimp simp: eventually_at Lim_within)
 apply (drule_tac x=e in spec, clarify)
 apply (rename_tac k)
 apply (rule_tac x="min d k" in exI, simp)
 done
 
 text \<open>Another limit point characterization.\<close>
 
 lemma limpt_sequential_inj:
   fixes x :: "'a::metric_space"
   shows "x islimpt S \<longleftrightarrow>
          (\<exists>f. (\<forall>n::nat. f n \<in> S - {x}) \<and> inj f \<and> (f \<longlongrightarrow> x) sequentially)"
          (is "?lhs = ?rhs")
 proof
   assume ?lhs
   then have "\<forall>e>0. \<exists>x'\<in>S. x' \<noteq> x \<and> dist x' x < e"
     by (force simp: islimpt_approachable)
   then obtain y where y: "\<And>e. e>0 \<Longrightarrow> y e \<in> S \<and> y e \<noteq> x \<and> dist (y e) x < e"
     by metis
   define f where "f \<equiv> rec_nat (y 1) (\<lambda>n fn. y (min (inverse(2 ^ (Suc n))) (dist fn x)))"
   have [simp]: "f 0 = y 1"
                "f(Suc n) = y (min (inverse(2 ^ (Suc n))) (dist (f n) x))" for n
     by (simp_all add: f_def)
   have f: "f n \<in> S \<and> (f n \<noteq> x) \<and> dist (f n) x < inverse(2 ^ n)" for n
   proof (induction n)
     case 0 show ?case
       by (simp add: y)
   next
     case (Suc n) then show ?case
       apply (auto simp: y)
       by (metis half_gt_zero_iff inverse_positive_iff_positive less_divide_eq_numeral1(1) min_less_iff_conj y zero_less_dist_iff zero_less_numeral zero_less_power)
   qed
   show ?rhs
   proof (rule_tac x=f in exI, intro conjI allI)
     show "\<And>n. f n \<in> S - {x}"
       using f by blast
     have "dist (f n) x < dist (f m) x" if "m < n" for m n
     using that
     proof (induction n)
       case 0 then show ?case by simp
     next
       case (Suc n)
       then consider "m < n" | "m = n" using less_Suc_eq by blast
       then show ?case
       proof cases
         assume "m < n"
         have "dist (f(Suc n)) x = dist (y (min (inverse(2 ^ (Suc n))) (dist (f n) x))) x"
           by simp
         also have "\<dots> < dist (f n) x"
           by (metis dist_pos_lt f min.strict_order_iff min_less_iff_conj y)
         also have "\<dots> < dist (f m) x"
           using Suc.IH \<open>m < n\<close> by blast
         finally show ?thesis .
       next
         assume "m = n" then show ?case
           by simp (metis dist_pos_lt f half_gt_zero_iff inverse_positive_iff_positive min_less_iff_conj y zero_less_numeral zero_less_power)
       qed
     qed
     then show "inj f"
       by (metis less_irrefl linorder_injI)
     show "f \<longlonglongrightarrow> x"
       apply (rule tendstoI)
       apply (rule_tac c="nat (ceiling(1/e))" in eventually_sequentiallyI)
       apply (rule less_trans [OF f [THEN conjunct2, THEN conjunct2]])
       apply (simp add: field_simps)
       by (meson le_less_trans mult_less_cancel_left not_le of_nat_less_two_power)
   qed
 next
   assume ?rhs
   then show ?lhs
     by (fastforce simp add: islimpt_approachable lim_sequentially)
 qed
 
 lemma Lim_dist_ubound:
   assumes "\<not>(trivial_limit net)"
     and "(f \<longlongrightarrow> l) net"
     and "eventually (\<lambda>x. dist a (f x) \<le> e) net"
   shows "dist a l \<le> e"
   using assms by (fast intro: tendsto_le tendsto_intros)
 
 
 subsection \<open>Continuity\<close>
 
 text\<open>Derive the epsilon-delta forms, which we often use as "definitions"\<close>
 
 proposition continuous_within_eps_delta:
   "continuous (at x within s) f \<longleftrightarrow> (\<forall>e>0. \<exists>d>0. \<forall>x'\<in> s.  dist x' x < d --> dist (f x') (f x) < e)"
   unfolding continuous_within and Lim_within  by fastforce
 
 corollary continuous_at_eps_delta:
   "continuous (at x) f \<longleftrightarrow> (\<forall>e > 0. \<exists>d > 0. \<forall>x'. dist x' x < d \<longrightarrow> dist (f x') (f x) < e)"
   using continuous_within_eps_delta [of x UNIV f] by simp
 
 lemma continuous_at_right_real_increasing:
   fixes f :: "real \<Rightarrow> real"
   assumes nondecF: "\<And>x y. x \<le> y \<Longrightarrow> f x \<le> f y"
   shows "continuous (at_right a) f \<longleftrightarrow> (\<forall>e>0. \<exists>d>0. f (a + d) - f a < e)"
   apply (simp add: greaterThan_def dist_real_def continuous_within Lim_within_le)
   apply (intro all_cong ex_cong, safe)
   apply (erule_tac x="a + d" in allE, simp)
   apply (simp add: nondecF field_simps)
   apply (drule nondecF, simp)
   done
 
 lemma continuous_at_left_real_increasing:
   assumes nondecF: "\<And> x y. x \<le> y \<Longrightarrow> f x \<le> ((f y) :: real)"
   shows "(continuous (at_left (a :: real)) f) = (\<forall>e > 0. \<exists>delta > 0. f a - f (a - delta) < e)"
   apply (simp add: lessThan_def dist_real_def continuous_within Lim_within_le)
   apply (intro all_cong ex_cong, safe)
   apply (erule_tac x="a - d" in allE, simp)
   apply (simp add: nondecF field_simps)
   apply (cut_tac x="a - d" and y=x in nondecF, simp_all)
   done
 
 text\<open>Versions in terms of open balls.\<close>
 
 lemma continuous_within_ball:
   "continuous (at x within s) f \<longleftrightarrow>
     (\<forall>e > 0. \<exists>d > 0. f ` (ball x d \<inter> s) \<subseteq> ball (f x) e)"
   (is "?lhs = ?rhs")
 proof
   assume ?lhs
   {
     fix e :: real
     assume "e > 0"
     then obtain d where d: "d>0" "\<forall>xa\<in>s. 0 < dist xa x \<and> dist xa x < d \<longrightarrow> dist (f xa) (f x) < e"
       using \<open>?lhs\<close>[unfolded continuous_within Lim_within] by auto
     {
       fix y
       assume "y \<in> f ` (ball x d \<inter> s)"
       then have "y \<in> ball (f x) e"
         using d(2)
         using \<open>e > 0\<close>
         by (auto simp: dist_commute)
     }
     then have "\<exists>d>0. f ` (ball x d \<inter> s) \<subseteq> ball (f x) e"
       using \<open>d > 0\<close>
       unfolding subset_eq ball_def by (auto simp: dist_commute)
   }
   then show ?rhs by auto
 next
   assume ?rhs
   then show ?lhs
     unfolding continuous_within Lim_within ball_def subset_eq
     apply (auto simp: dist_commute)
     apply (erule_tac x=e in allE, auto)
     done
 qed
 
 lemma continuous_at_ball:
   "continuous (at x) f \<longleftrightarrow> (\<forall>e>0. \<exists>d>0. f ` (ball x d) \<subseteq> ball (f x) e)" (is "?lhs = ?rhs")
 proof
   assume ?lhs
   then show ?rhs
     unfolding continuous_at Lim_at subset_eq Ball_def Bex_def image_iff mem_ball
     apply auto
     apply (erule_tac x=e in allE, auto)
     apply (rule_tac x=d in exI, auto)
     apply (erule_tac x=xa in allE)
     apply (auto simp: dist_commute)
     done
 next
   assume ?rhs
   then show ?lhs
     unfolding continuous_at Lim_at subset_eq Ball_def Bex_def image_iff mem_ball
     apply auto
     apply (erule_tac x=e in allE, auto)
     apply (rule_tac x=d in exI, auto)
     apply (erule_tac x="f xa" in allE)
     apply (auto simp: dist_commute)
     done
 qed
 
 text\<open>Define setwise continuity in terms of limits within the set.\<close>
 
 lemma continuous_on_iff:
   "continuous_on s f \<longleftrightarrow>
     (\<forall>x\<in>s. \<forall>e>0. \<exists>d>0. \<forall>x'\<in>s. dist x' x < d \<longrightarrow> dist (f x') (f x) < e)"
   unfolding continuous_on_def Lim_within
   by (metis dist_pos_lt dist_self)
 
 lemma continuous_within_E:
   assumes "continuous (at x within s) f" "e>0"
   obtains d where "d>0"  "\<And>x'. \<lbrakk>x'\<in> s; dist x' x \<le> d\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e"
   using assms apply (simp add: continuous_within_eps_delta)
   apply (drule spec [of _ e], clarify)
   apply (rule_tac d="d/2" in that, auto)
   done
 
 lemma continuous_onI [intro?]:
   assumes "\<And>x e. \<lbrakk>e > 0; x \<in> s\<rbrakk> \<Longrightarrow> \<exists>d>0. \<forall>x'\<in>s. dist x' x < d \<longrightarrow> dist (f x') (f x) \<le> e"
   shows "continuous_on s f"
 apply (simp add: continuous_on_iff, clarify)
 apply (rule ex_forward [OF assms [OF half_gt_zero]], auto)
 done
 
 text\<open>Some simple consequential lemmas.\<close>
 
 lemma continuous_onE:
     assumes "continuous_on s f" "x\<in>s" "e>0"
     obtains d where "d>0"  "\<And>x'. \<lbrakk>x' \<in> s; dist x' x \<le> d\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e"
   using assms
   apply (simp add: continuous_on_iff)
   apply (elim ballE allE)
   apply (auto intro: that [where d="d/2" for d])
   done
 
 text\<open>The usual transformation theorems.\<close>
 
 lemma continuous_transform_within:
   fixes f g :: "'a::metric_space \<Rightarrow> 'b::topological_space"
   assumes "continuous (at x within s) f"
     and "0 < d"
     and "x \<in> s"
     and "\<And>x'. \<lbrakk>x' \<in> s; dist x' x < d\<rbrakk> \<Longrightarrow> f x' = g x'"
   shows "continuous (at x within s) g"
   using assms
   unfolding continuous_within
   by (force intro: Lim_transform_within)
 
 
 subsection \<open>Closure and Limit Characterization\<close>
 
 lemma closure_approachable:
   fixes S :: "'a::metric_space set"
   shows "x \<in> closure S \<longleftrightarrow> (\<forall>e>0. \<exists>y\<in>S. dist y x < e)"
   apply (auto simp: closure_def islimpt_approachable)
   apply (metis dist_self)
   done
 
 lemma closure_approachable_le:
   fixes S :: "'a::metric_space set"
   shows "x \<in> closure S \<longleftrightarrow> (\<forall>e>0. \<exists>y\<in>S. dist y x \<le> e)"
   unfolding closure_approachable
   using dense by force
 
 lemma closure_approachableD:
   assumes "x \<in> closure S" "e>0"
   shows "\<exists>y\<in>S. dist x y < e"
   using assms unfolding closure_approachable by (auto simp: dist_commute)
 
 lemma closed_approachable:
   fixes S :: "'a::metric_space set"
   shows "closed S \<Longrightarrow> (\<forall>e>0. \<exists>y\<in>S. dist y x < e) \<longleftrightarrow> x \<in> S"
   by (metis closure_closed closure_approachable)
 
 lemma closure_contains_Inf:
   fixes S :: "real set"
   assumes "S \<noteq> {}" "bdd_below S"
   shows "Inf S \<in> closure S"
 proof -
   have *: "\<forall>x\<in>S. Inf S \<le> x"
     using cInf_lower[of _ S] assms by metis
   {
     fix e :: real
     assume "e > 0"
     then have "Inf S < Inf S + e" by simp
     with assms obtain x where "x \<in> S" "x < Inf S + e"
       by (subst (asm) cInf_less_iff) auto
     with * have "\<exists>x\<in>S. dist x (Inf S) < e"
       by (intro bexI[of _ x]) (auto simp: dist_real_def)
   }
   then show ?thesis unfolding closure_approachable by auto
 qed
 
 lemma closure_contains_Sup:
   fixes S :: "real set"
   assumes "S \<noteq> {}" "bdd_above S"
   shows "Sup S \<in> closure S"
 proof -
   have *: "\<forall>x\<in>S. x \<le> Sup S"
     using cSup_upper[of _ S] assms by metis
   {
     fix e :: real
     assume "e > 0"
     then have "Sup S - e < Sup S" by simp
     with assms obtain x where "x \<in> S" "Sup S - e < x"
       by (subst (asm) less_cSup_iff) auto
     with * have "\<exists>x\<in>S. dist x (Sup S) < e"
       by (intro bexI[of _ x]) (auto simp: dist_real_def)
   }
   then show ?thesis unfolding closure_approachable by auto
 qed
 
 lemma not_trivial_limit_within_ball:
   "\<not> trivial_limit (at x within S) \<longleftrightarrow> (\<forall>e>0. S \<inter> ball x e - {x} \<noteq> {})"
   (is "?lhs \<longleftrightarrow> ?rhs")
 proof
   show ?rhs if ?lhs
   proof -
     {
       fix e :: real
       assume "e > 0"
       then obtain y where "y \<in> S - {x}" and "dist y x < e"
         using \<open>?lhs\<close> not_trivial_limit_within[of x S] closure_approachable[of x "S - {x}"]
         by auto
       then have "y \<in> S \<inter> ball x e - {x}"
         unfolding ball_def by (simp add: dist_commute)
       then have "S \<inter> ball x e - {x} \<noteq> {}" by blast
     }
     then show ?thesis by auto
   qed
   show ?lhs if ?rhs
   proof -
     {
       fix e :: real
       assume "e > 0"
       then obtain y where "y \<in> S \<inter> ball x e - {x}"
         using \<open>?rhs\<close> by blast
       then have "y \<in> S - {x}" and "dist y x < e"
         unfolding ball_def by (simp_all add: dist_commute)
       then have "\<exists>y \<in> S - {x}. dist y x < e"
         by auto
     }
     then show ?thesis
       using not_trivial_limit_within[of x S] closure_approachable[of x "S - {x}"]
       by auto
   qed
 qed
 
 
 subsection \<open>Boundedness\<close>
 
   (* FIXME: This has to be unified with BSEQ!! *)
 definition\<^marker>\<open>tag important\<close> (in metric_space) bounded :: "'a set \<Rightarrow> bool"
   where "bounded S \<longleftrightarrow> (\<exists>x e. \<forall>y\<in>S. dist x y \<le> e)"
 
 lemma bounded_subset_cball: "bounded S \<longleftrightarrow> (\<exists>e x. S \<subseteq> cball x e \<and> 0 \<le> e)"
   unfolding bounded_def subset_eq  by auto (meson order_trans zero_le_dist)
 
 lemma bounded_any_center: "bounded S \<longleftrightarrow> (\<exists>e. \<forall>y\<in>S. dist a y \<le> e)"
   unfolding bounded_def
   by auto (metis add.commute add_le_cancel_right dist_commute dist_triangle_le)
 
 lemma bounded_iff: "bounded S \<longleftrightarrow> (\<exists>a. \<forall>x\<in>S. norm x \<le> a)"
   unfolding bounded_any_center [where a=0]
   by (simp add: dist_norm)
 
 lemma bdd_above_norm: "bdd_above (norm ` X) \<longleftrightarrow> bounded X"
   by (simp add: bounded_iff bdd_above_def)
 
 lemma bounded_norm_comp: "bounded ((\<lambda>x. norm (f x)) ` S) = bounded (f ` S)"
   by (simp add: bounded_iff)
 
 lemma boundedI:
   assumes "\<And>x. x \<in> S \<Longrightarrow> norm x \<le> B"
   shows "bounded S"
   using assms bounded_iff by blast
 
 lemma bounded_empty [simp]: "bounded {}"
   by (simp add: bounded_def)
 
 lemma bounded_subset: "bounded T \<Longrightarrow> S \<subseteq> T \<Longrightarrow> bounded S"
   by (metis bounded_def subset_eq)
 
 lemma bounded_interior[intro]: "bounded S \<Longrightarrow> bounded(interior S)"
   by (metis bounded_subset interior_subset)
 
 lemma bounded_closure[intro]:
   assumes "bounded S"
   shows "bounded (closure S)"
 proof -
   from assms obtain x and a where a: "\<forall>y\<in>S. dist x y \<le> a"
     unfolding bounded_def by auto
   {
     fix y
     assume "y \<in> closure S"
     then obtain f where f: "\<forall>n. f n \<in> S"  "(f \<longlongrightarrow> y) sequentially"
       unfolding closure_sequential by auto
     have "\<forall>n. f n \<in> S \<longrightarrow> dist x (f n) \<le> a" using a by simp
     then have "eventually (\<lambda>n. dist x (f n) \<le> a) sequentially"
       by (simp add: f(1))
     have "dist x y \<le> a"
       apply (rule Lim_dist_ubound [of sequentially f])
       apply (rule trivial_limit_sequentially)
       apply (rule f(2))
       apply fact
       done
   }
   then show ?thesis
     unfolding bounded_def by auto
 qed
 
 lemma bounded_closure_image: "bounded (f ` closure S) \<Longrightarrow> bounded (f ` S)"
   by (simp add: bounded_subset closure_subset image_mono)
 
 lemma bounded_cball[simp,intro]: "bounded (cball x e)"
   apply (simp add: bounded_def)
   apply (rule_tac x=x in exI)
   apply (rule_tac x=e in exI, auto)
   done
 
 lemma bounded_ball[simp,intro]: "bounded (ball x e)"
   by (metis ball_subset_cball bounded_cball bounded_subset)
 
 lemma bounded_Un[simp]: "bounded (S \<union> T) \<longleftrightarrow> bounded S \<and> bounded T"
   by (auto simp: bounded_def) (metis Un_iff bounded_any_center le_max_iff_disj)
 
 lemma bounded_Union[intro]: "finite F \<Longrightarrow> \<forall>S\<in>F. bounded S \<Longrightarrow> bounded (\<Union>F)"
   by (induct rule: finite_induct[of F]) auto
 
 lemma bounded_UN [intro]: "finite A \<Longrightarrow> \<forall>x\<in>A. bounded (B x) \<Longrightarrow> bounded (\<Union>x\<in>A. B x)"
   by (induct set: finite) auto
 
 lemma bounded_insert [simp]: "bounded (insert x S) \<longleftrightarrow> bounded S"
 proof -
   have "\<forall>y\<in>{x}. dist x y \<le> 0"
     by simp
   then have "bounded {x}"
     unfolding bounded_def by fast
   then show ?thesis
     by (metis insert_is_Un bounded_Un)
 qed
 
 lemma bounded_subset_ballI: "S \<subseteq> ball x r \<Longrightarrow> bounded S"
   by (meson bounded_ball bounded_subset)
 
 lemma bounded_subset_ballD:
   assumes "bounded S" shows "\<exists>r. 0 < r \<and> S \<subseteq> ball x r"
 proof -
   obtain e::real and y where "S \<subseteq> cball y e" "0 \<le> e"
     using assms by (auto simp: bounded_subset_cball)
   then show ?thesis
     by (intro exI[where x="dist x y + e + 1"]) metric
 qed
 
 lemma finite_imp_bounded [intro]: "finite S \<Longrightarrow> bounded S"
   by (induct set: finite) simp_all
 
 lemma bounded_Int[intro]: "bounded S \<or> bounded T \<Longrightarrow> bounded (S \<inter> T)"
   by (metis Int_lower1 Int_lower2 bounded_subset)
 
 lemma bounded_diff[intro]: "bounded S \<Longrightarrow> bounded (S - T)"
   by (metis Diff_subset bounded_subset)
 
 lemma bounded_dist_comp:
   assumes "bounded (f ` S)" "bounded (g ` S)"
   shows "bounded ((\<lambda>x. dist (f x) (g x)) ` S)"
 proof -
   from assms obtain M1 M2 where *: "dist (f x) undefined \<le> M1" "dist undefined (g x) \<le> M2" if "x \<in> S" for x
     by (auto simp: bounded_any_center[of _ undefined] dist_commute)
   have "dist (f x) (g x) \<le> M1 + M2" if "x \<in> S" for x
     using *[OF that]
     by metric
   then show ?thesis
     by (auto intro!: boundedI)
 qed
 
 lemma bounded_Times:
   assumes "bounded s" "bounded t"
   shows "bounded (s \<times> t)"
 proof -
   obtain x y a b where "\<forall>z\<in>s. dist x z \<le> a" "\<forall>z\<in>t. dist y z \<le> b"
     using assms [unfolded bounded_def] by auto
   then have "\<forall>z\<in>s \<times> t. dist (x, y) z \<le> sqrt (a\<^sup>2 + b\<^sup>2)"
     by (auto simp: dist_Pair_Pair real_sqrt_le_mono add_mono power_mono)
   then show ?thesis unfolding bounded_any_center [where a="(x, y)"] by auto
 qed
 
 
 subsection \<open>Compactness\<close>
 
 lemma compact_imp_bounded:
   assumes "compact U"
   shows "bounded U"
 proof -
   have "compact U" "\<forall>x\<in>U. open (ball x 1)" "U \<subseteq> (\<Union>x\<in>U. ball x 1)"
     using assms by auto
   then obtain D where D: "D \<subseteq> U" "finite D" "U \<subseteq> (\<Union>x\<in>D. ball x 1)"
     by (metis compactE_image)
   from \<open>finite D\<close> have "bounded (\<Union>x\<in>D. ball x 1)"
     by (simp add: bounded_UN)
   then show "bounded U" using \<open>U \<subseteq> (\<Union>x\<in>D. ball x 1)\<close>
     by (rule bounded_subset)
 qed
 
 lemma closure_Int_ball_not_empty:
   assumes "S \<subseteq> closure T" "x \<in> S" "r > 0"
   shows "T \<inter> ball x r \<noteq> {}"
   using assms centre_in_ball closure_iff_nhds_not_empty by blast
 
 lemma compact_sup_maxdistance:
   fixes s :: "'a::metric_space set"
   assumes "compact s"
     and "s \<noteq> {}"
   shows "\<exists>x\<in>s. \<exists>y\<in>s. \<forall>u\<in>s. \<forall>v\<in>s. dist u v \<le> dist x y"
 proof -
   have "compact (s \<times> s)"
     using \<open>compact s\<close> by (intro compact_Times)
   moreover have "s \<times> s \<noteq> {}"
     using \<open>s \<noteq> {}\<close> by auto
   moreover have "continuous_on (s \<times> s) (\<lambda>x. dist (fst x) (snd x))"
     by (intro continuous_at_imp_continuous_on ballI continuous_intros)
   ultimately show ?thesis
     using continuous_attains_sup[of "s \<times> s" "\<lambda>x. dist (fst x) (snd x)"] by auto
 qed
 
 
 subsubsection\<open>Totally bounded\<close>
 
 lemma cauchy_def: "Cauchy s \<longleftrightarrow> (\<forall>e>0. \<exists>N. \<forall>m n. m \<ge> N \<and> n \<ge> N \<longrightarrow> dist (s m) (s n) < e)"
   unfolding Cauchy_def by metis
 
 proposition seq_compact_imp_totally_bounded:
   assumes "seq_compact s"
   shows "\<forall>e>0. \<exists>k. finite k \<and> k \<subseteq> s \<and> s \<subseteq> (\<Union>x\<in>k. ball x e)"
 proof -
   { fix e::real assume "e > 0" assume *: "\<And>k. finite k \<Longrightarrow> k \<subseteq> s \<Longrightarrow> \<not> s \<subseteq> (\<Union>x\<in>k. ball x e)"
     let ?Q = "\<lambda>x n r. r \<in> s \<and> (\<forall>m < (n::nat). \<not> (dist (x m) r < e))"
     have "\<exists>x. \<forall>n::nat. ?Q x n (x n)"
     proof (rule dependent_wellorder_choice)
       fix n x assume "\<And>y. y < n \<Longrightarrow> ?Q x y (x y)"
       then have "\<not> s \<subseteq> (\<Union>x\<in>x ` {0..<n}. ball x e)"
         using *[of "x ` {0 ..< n}"] by (auto simp: subset_eq)
       then obtain z where z:"z\<in>s" "z \<notin> (\<Union>x\<in>x ` {0..<n}. ball x e)"
         unfolding subset_eq by auto
       show "\<exists>r. ?Q x n r"
         using z by auto
     qed simp
     then obtain x where "\<forall>n::nat. x n \<in> s" and x:"\<And>n m. m < n \<Longrightarrow> \<not> (dist (x m) (x n) < e)"
       by blast
     then obtain l r where "l \<in> s" and r:"strict_mono  r" and "((x \<circ> r) \<longlongrightarrow> l) sequentially"
       using assms by (metis seq_compact_def)
     from this(3) have "Cauchy (x \<circ> r)"
       using LIMSEQ_imp_Cauchy by auto
     then obtain N::nat where "\<And>m n. N \<le> m \<Longrightarrow> N \<le> n \<Longrightarrow> dist ((x \<circ> r) m) ((x \<circ> r) n) < e"
       unfolding cauchy_def using \<open>e > 0\<close> by blast
     then have False
       using x[of "r N" "r (N+1)"] r by (auto simp: strict_mono_def) }
   then show ?thesis
     by metis
 qed
 
 subsubsection\<open>Heine-Borel theorem\<close>
 
 proposition seq_compact_imp_Heine_Borel:
   fixes s :: "'a :: metric_space set"
   assumes "seq_compact s"
   shows "compact s"
 proof -
   from seq_compact_imp_totally_bounded[OF \<open>seq_compact s\<close>]
   obtain f where f: "\<forall>e>0. finite (f e) \<and> f e \<subseteq> s \<and> s \<subseteq> (\<Union>x\<in>f e. ball x e)"
     unfolding choice_iff' ..
   define K where "K = (\<lambda>(x, r). ball x r) ` ((\<Union>e \<in> \<rat> \<inter> {0 <..}. f e) \<times> \<rat>)"
   have "countably_compact s"
     using \<open>seq_compact s\<close> by (rule seq_compact_imp_countably_compact)
   then show "compact s"
   proof (rule countably_compact_imp_compact)
     show "countable K"
       unfolding K_def using f
       by (auto intro: countable_finite countable_subset countable_rat
                intro!: countable_image countable_SIGMA countable_UN)
     show "\<forall>b\<in>K. open b" by (auto simp: K_def)
   next
     fix T x
     assume T: "open T" "x \<in> T" and x: "x \<in> s"
     from openE[OF T] obtain e where "0 < e" "ball x e \<subseteq> T"
       by auto
     then have "0 < e / 2" "ball x (e / 2) \<subseteq> T"
       by auto
     from Rats_dense_in_real[OF \<open>0 < e / 2\<close>] obtain r where "r \<in> \<rat>" "0 < r" "r < e / 2"
       by auto
     from f[rule_format, of r] \<open>0 < r\<close> \<open>x \<in> s\<close> obtain k where "k \<in> f r" "x \<in> ball k r"
       by auto
     from \<open>r \<in> \<rat>\<close> \<open>0 < r\<close> \<open>k \<in> f r\<close> have "ball k r \<in> K"
       by (auto simp: K_def)
     then show "\<exists>b\<in>K. x \<in> b \<and> b \<inter> s \<subseteq> T"
     proof (rule bexI[rotated], safe)
       fix y
       assume "y \<in> ball k r"
       with \<open>r < e / 2\<close> \<open>x \<in> ball k r\<close> have "dist x y < e"
         by (intro dist_triangle_half_r [of k _ e]) (auto simp: dist_commute)
       with \<open>ball x e \<subseteq> T\<close> show "y \<in> T"
         by auto
     next
       show "x \<in> ball k r" by fact
     qed
   qed
 qed
 
 proposition compact_eq_seq_compact_metric:
   "compact (s :: 'a::metric_space set) \<longleftrightarrow> seq_compact s"
   using compact_imp_seq_compact seq_compact_imp_Heine_Borel by blast
 
 proposition compact_def: \<comment> \<open>this is the definition of compactness in HOL Light\<close>
   "compact (S :: 'a::metric_space set) \<longleftrightarrow>
    (\<forall>f. (\<forall>n. f n \<in> S) \<longrightarrow> (\<exists>l\<in>S. \<exists>r::nat\<Rightarrow>nat. strict_mono r \<and> (f \<circ> r) \<longlonglongrightarrow> l))"
   unfolding compact_eq_seq_compact_metric seq_compact_def by auto
 
 subsubsection \<open>Complete the chain of compactness variants\<close>
 
 proposition compact_eq_Bolzano_Weierstrass:
   fixes s :: "'a::metric_space set"
   shows "compact s \<longleftrightarrow> (\<forall>t. infinite t \<and> t \<subseteq> s --> (\<exists>x \<in> s. x islimpt t))"
   (is "?lhs = ?rhs")
 proof
   assume ?lhs
   then show ?rhs
     using Heine_Borel_imp_Bolzano_Weierstrass[of s] by auto
 next
   assume ?rhs
   then show ?lhs
     unfolding compact_eq_seq_compact_metric by (rule Bolzano_Weierstrass_imp_seq_compact)
 qed
 
 proposition Bolzano_Weierstrass_imp_bounded:
   "\<forall>t. infinite t \<and> t \<subseteq> s \<longrightarrow> (\<exists>x \<in> s. x islimpt t) \<Longrightarrow> bounded s"
   using compact_imp_bounded unfolding compact_eq_Bolzano_Weierstrass .
 
 
 subsection \<open>Banach fixed point theorem\<close>
   
 theorem banach_fix:\<comment> \<open>TODO: rename to \<open>Banach_fix\<close>\<close>
   assumes s: "complete s" "s \<noteq> {}"
     and c: "0 \<le> c" "c < 1"
     and f: "f ` s \<subseteq> s"
     and lipschitz: "\<forall>x\<in>s. \<forall>y\<in>s. dist (f x) (f y) \<le> c * dist x y"
   shows "\<exists>!x\<in>s. f x = x"
 proof -
   from c have "1 - c > 0" by simp
 
   from s(2) obtain z0 where z0: "z0 \<in> s" by blast
   define z where "z n = (f ^^ n) z0" for n
   with f z0 have z_in_s: "z n \<in> s" for n :: nat
     by (induct n) auto
   define d where "d = dist (z 0) (z 1)"
 
   have fzn: "f (z n) = z (Suc n)" for n
     by (simp add: z_def)
   have cf_z: "dist (z n) (z (Suc n)) \<le> (c ^ n) * d" for n :: nat
   proof (induct n)
     case 0
     then show ?case
       by (simp add: d_def)
   next
     case (Suc m)
     with \<open>0 \<le> c\<close> have "c * dist (z m) (z (Suc m)) \<le> c ^ Suc m * d"
       using mult_left_mono[of "dist (z m) (z (Suc m))" "c ^ m * d" c] by simp
     then show ?case
       using lipschitz[THEN bspec[where x="z m"], OF z_in_s, THEN bspec[where x="z (Suc m)"], OF z_in_s]
       by (simp add: fzn mult_le_cancel_left)
   qed
 
   have cf_z2: "(1 - c) * dist (z m) (z (m + n)) \<le> (c ^ m) * d * (1 - c ^ n)" for n m :: nat
   proof (induct n)
     case 0
     show ?case by simp
   next
     case (Suc k)
     from c have "(1 - c) * dist (z m) (z (m + Suc k)) \<le>
         (1 - c) * (dist (z m) (z (m + k)) + dist (z (m + k)) (z (Suc (m + k))))"
       by (simp add: dist_triangle)
     also from c cf_z[of "m + k"] have "\<dots> \<le> (1 - c) * (dist (z m) (z (m + k)) + c ^ (m + k) * d)"
       by simp
     also from Suc have "\<dots> \<le> c ^ m * d * (1 - c ^ k) + (1 - c) * c ^ (m + k) * d"
       by (simp add: field_simps)
     also have "\<dots> = (c ^ m) * (d * (1 - c ^ k) + (1 - c) * c ^ k * d)"
       by (simp add: power_add field_simps)
     also from c have "\<dots> \<le> (c ^ m) * d * (1 - c ^ Suc k)"
       by (simp add: field_simps)
     finally show ?case by simp
   qed
 
   have "\<exists>N. \<forall>m n. N \<le> m \<and> N \<le> n \<longrightarrow> dist (z m) (z n) < e" if "e > 0" for e
   proof (cases "d = 0")
     case True
     from \<open>1 - c > 0\<close> have "(1 - c) * x \<le> 0 \<longleftrightarrow> x \<le> 0" for x
       by (metis mult_zero_left mult.commute real_mult_le_cancel_iff1)
     with c cf_z2[of 0] True have "z n = z0" for n
       by (simp add: z_def)
     with \<open>e > 0\<close> show ?thesis by simp
   next
     case False
     with zero_le_dist[of "z 0" "z 1"] have "d > 0"
       by (metis d_def less_le)
     with \<open>1 - c > 0\<close> \<open>e > 0\<close> have "0 < e * (1 - c) / d"
       by simp
     with c obtain N where N: "c ^ N < e * (1 - c) / d"
       using real_arch_pow_inv[of "e * (1 - c) / d" c] by auto
     have *: "dist (z m) (z n) < e" if "m > n" and as: "m \<ge> N" "n \<ge> N" for m n :: nat
     proof -
       from c \<open>n \<ge> N\<close> have *: "c ^ n \<le> c ^ N"
         using power_decreasing[OF \<open>n\<ge>N\<close>, of c] by simp
       from c \<open>m > n\<close> have "1 - c ^ (m - n) > 0"
         using power_strict_mono[of c 1 "m - n"] by simp
       with \<open>d > 0\<close> \<open>0 < 1 - c\<close> have **: "d * (1 - c ^ (m - n)) / (1 - c) > 0"
         by simp
       from cf_z2[of n "m - n"] \<open>m > n\<close>
       have "dist (z m) (z n) \<le> c ^ n * d * (1 - c ^ (m - n)) / (1 - c)"
         by (simp add: pos_le_divide_eq[OF \<open>1 - c > 0\<close>] mult.commute dist_commute)
       also have "\<dots> \<le> c ^ N * d * (1 - c ^ (m - n)) / (1 - c)"
         using mult_right_mono[OF * order_less_imp_le[OF **]]
         by (simp add: mult.assoc)
       also have "\<dots> < (e * (1 - c) / d) * d * (1 - c ^ (m - n)) / (1 - c)"
         using mult_strict_right_mono[OF N **] by (auto simp: mult.assoc)
       also from c \<open>d > 0\<close> \<open>1 - c > 0\<close> have "\<dots> = e * (1 - c ^ (m - n))"
         by simp
       also from c \<open>1 - c ^ (m - n) > 0\<close> \<open>e > 0\<close> have "\<dots> \<le> e"
         using mult_right_le_one_le[of e "1 - c ^ (m - n)"] by auto
       finally show ?thesis by simp
     qed
     have "dist (z n) (z m) < e" if "N \<le> m" "N \<le> n" for m n :: nat
     proof (cases "n = m")
       case True
       with \<open>e > 0\<close> show ?thesis by simp
     next
       case False
       with *[of n m] *[of m n] and that show ?thesis
         by (auto simp: dist_commute nat_neq_iff)
     qed
     then show ?thesis by auto
   qed
   then have "Cauchy z"
     by (simp add: cauchy_def)
   then obtain x where "x\<in>s" and x:"(z \<longlongrightarrow> x) sequentially"
     using s(1)[unfolded compact_def complete_def, THEN spec[where x=z]] and z_in_s by auto
 
   define e where "e = dist (f x) x"
   have "e = 0"
   proof (rule ccontr)
     assume "e \<noteq> 0"
     then have "e > 0"
       unfolding e_def using zero_le_dist[of "f x" x]
       by (metis dist_eq_0_iff dist_nz e_def)
     then obtain N where N:"\<forall>n\<ge>N. dist (z n) x < e / 2"
       using x[unfolded lim_sequentially, THEN spec[where x="e/2"]] by auto
     then have N':"dist (z N) x < e / 2" by auto
     have *: "c * dist (z N) x \<le> dist (z N) x"
       unfolding mult_le_cancel_right2
       using zero_le_dist[of "z N" x] and c
       by (metis dist_eq_0_iff dist_nz order_less_asym less_le)
     have "dist (f (z N)) (f x) \<le> c * dist (z N) x"
       using lipschitz[THEN bspec[where x="z N"], THEN bspec[where x=x]]
       using z_in_s[of N] \<open>x\<in>s\<close>
       using c
       by auto
     also have "\<dots> < e / 2"
       using N' and c using * by auto
     finally show False
       unfolding fzn
       using N[THEN spec[where x="Suc N"]] and dist_triangle_half_r[of "z (Suc N)" "f x" e x]
       unfolding e_def
       by auto
   qed
   then have "f x = x" by (auto simp: e_def)
   moreover have "y = x" if "f y = y" "y \<in> s" for y
   proof -
     from \<open>x \<in> s\<close> \<open>f x = x\<close> that have "dist x y \<le> c * dist x y"
       using lipschitz[THEN bspec[where x=x], THEN bspec[where x=y]] by simp
     with c and zero_le_dist[of x y] have "dist x y = 0"
       by (simp add: mult_le_cancel_right1)
     then show ?thesis by simp
   qed
   ultimately show ?thesis
     using \<open>x\<in>s\<close> by blast
 qed
 
 
 subsection \<open>Edelstein fixed point theorem\<close>
 
 theorem edelstein_fix:\<comment> \<open>TODO: rename to \<open>Edelstein_fix\<close>\<close>
   fixes s :: "'a::metric_space set"
   assumes s: "compact s" "s \<noteq> {}"
     and gs: "(g ` s) \<subseteq> s"
     and dist: "\<forall>x\<in>s. \<forall>y\<in>s. x \<noteq> y \<longrightarrow> dist (g x) (g y) < dist x y"
   shows "\<exists>!x\<in>s. g x = x"
 proof -
   let ?D = "(\<lambda>x. (x, x)) ` s"
   have D: "compact ?D" "?D \<noteq> {}"
     by (rule compact_continuous_image)
        (auto intro!: s continuous_Pair continuous_ident simp: continuous_on_eq_continuous_within)
 
   have "\<And>x y e. x \<in> s \<Longrightarrow> y \<in> s \<Longrightarrow> 0 < e \<Longrightarrow> dist y x < e \<Longrightarrow> dist (g y) (g x) < e"
     using dist by fastforce
   then have "continuous_on s g"
     by (auto simp: continuous_on_iff)
   then have cont: "continuous_on ?D (\<lambda>x. dist ((g \<circ> fst) x) (snd x))"
     unfolding continuous_on_eq_continuous_within
     by (intro continuous_dist ballI continuous_within_compose)
        (auto intro!: continuous_fst continuous_snd continuous_ident simp: image_image)
 
   obtain a where "a \<in> s" and le: "\<And>x. x \<in> s \<Longrightarrow> dist (g a) a \<le> dist (g x) x"
     using continuous_attains_inf[OF D cont] by auto
 
   have "g a = a"
   proof (rule ccontr)
     assume "g a \<noteq> a"
     with \<open>a \<in> s\<close> gs have "dist (g (g a)) (g a) < dist (g a) a"
       by (intro dist[rule_format]) auto
     moreover have "dist (g a) a \<le> dist (g (g a)) (g a)"
       using \<open>a \<in> s\<close> gs by (intro le) auto
     ultimately show False by auto
   qed
   moreover have "\<And>x. x \<in> s \<Longrightarrow> g x = x \<Longrightarrow> x = a"
     using dist[THEN bspec[where x=a]] \<open>g a = a\<close> and \<open>a\<in>s\<close> by auto
   ultimately show "\<exists>!x\<in>s. g x = x"
     using \<open>a \<in> s\<close> by blast
 qed
 
 subsection \<open>The diameter of a set\<close>
 
 definition\<^marker>\<open>tag important\<close> diameter :: "'a::metric_space set \<Rightarrow> real" where
   "diameter S = (if S = {} then 0 else SUP (x,y)\<in>S\<times>S. dist x y)"
 
 lemma diameter_empty [simp]: "diameter{} = 0"
   by (auto simp: diameter_def)
 
 lemma diameter_singleton [simp]: "diameter{x} = 0"
   by (auto simp: diameter_def)
 
 lemma diameter_le:
   assumes "S \<noteq> {} \<or> 0 \<le> d"
       and no: "\<And>x y. \<lbrakk>x \<in> S; y \<in> S\<rbrakk> \<Longrightarrow> norm(x - y) \<le> d"
     shows "diameter S \<le> d"
 using assms
   by (auto simp: dist_norm diameter_def intro: cSUP_least)
 
 lemma diameter_bounded_bound:
   fixes s :: "'a :: metric_space set"
   assumes s: "bounded s" "x \<in> s" "y \<in> s"
   shows "dist x y \<le> diameter s"
 proof -
   from s obtain z d where z: "\<And>x. x \<in> s \<Longrightarrow> dist z x \<le> d"
     unfolding bounded_def by auto
   have "bdd_above (case_prod dist ` (s\<times>s))"
   proof (intro bdd_aboveI, safe)
     fix a b
     assume "a \<in> s" "b \<in> s"
     with z[of a] z[of b] dist_triangle[of a b z]
     show "dist a b \<le> 2 * d"
       by (simp add: dist_commute)
   qed
   moreover have "(x,y) \<in> s\<times>s" using s by auto
   ultimately have "dist x y \<le> (SUP (x,y)\<in>s\<times>s. dist x y)"
     by (rule cSUP_upper2) simp
   with \<open>x \<in> s\<close> show ?thesis
     by (auto simp: diameter_def)
 qed
 
 lemma diameter_lower_bounded:
   fixes s :: "'a :: metric_space set"
   assumes s: "bounded s"
     and d: "0 < d" "d < diameter s"
   shows "\<exists>x\<in>s. \<exists>y\<in>s. d < dist x y"
 proof (rule ccontr)
   assume contr: "\<not> ?thesis"
   moreover have "s \<noteq> {}"
     using d by (auto simp: diameter_def)
   ultimately have "diameter s \<le> d"
     by (auto simp: not_less diameter_def intro!: cSUP_least)
   with \<open>d < diameter s\<close> show False by auto
 qed
 
 lemma diameter_bounded:
   assumes "bounded s"
   shows "\<forall>x\<in>s. \<forall>y\<in>s. dist x y \<le> diameter s"
     and "\<forall>d>0. d < diameter s \<longrightarrow> (\<exists>x\<in>s. \<exists>y\<in>s. dist x y > d)"
   using diameter_bounded_bound[of s] diameter_lower_bounded[of s] assms
   by auto
 
 lemma bounded_two_points:
   "bounded S \<longleftrightarrow> (\<exists>e. \<forall>x\<in>S. \<forall>y\<in>S. dist x y \<le> e)"
   apply (rule iffI)
   subgoal using diameter_bounded(1) by auto
   subgoal using bounded_any_center[of S] by meson
   done
 
 lemma diameter_compact_attained:
   assumes "compact s"
     and "s \<noteq> {}"
   shows "\<exists>x\<in>s. \<exists>y\<in>s. dist x y = diameter s"
 proof -
   have b: "bounded s" using assms(1)
     by (rule compact_imp_bounded)
   then obtain x y where xys: "x\<in>s" "y\<in>s"
     and xy: "\<forall>u\<in>s. \<forall>v\<in>s. dist u v \<le> dist x y"
     using compact_sup_maxdistance[OF assms] by auto
   then have "diameter s \<le> dist x y"
     unfolding diameter_def
     apply clarsimp
     apply (rule cSUP_least, fast+)
     done
   then show ?thesis
     by (metis b diameter_bounded_bound order_antisym xys)
 qed
 
 lemma diameter_ge_0:
   assumes "bounded S"  shows "0 \<le> diameter S"
   by (metis all_not_in_conv assms diameter_bounded_bound diameter_empty dist_self order_refl)
 
 lemma diameter_subset:
   assumes "S \<subseteq> T" "bounded T"
   shows "diameter S \<le> diameter T"
 proof (cases "S = {} \<or> T = {}")
   case True
   with assms show ?thesis
     by (force simp: diameter_ge_0)
 next
   case False
   then have "bdd_above ((\<lambda>x. case x of (x, xa) \<Rightarrow> dist x xa) ` (T \<times> T))"
     using \<open>bounded T\<close> diameter_bounded_bound by (force simp: bdd_above_def)
   with False \<open>S \<subseteq> T\<close> show ?thesis
     apply (simp add: diameter_def)
     apply (rule cSUP_subset_mono, auto)
     done
 qed
 
 lemma diameter_closure:
   assumes "bounded S"
   shows "diameter(closure S) = diameter S"
 proof (rule order_antisym)
   have "False" if "diameter S < diameter (closure S)"
   proof -
     define d where "d = diameter(closure S) - diameter(S)"
     have "d > 0"
       using that by (simp add: d_def)
     then have "diameter(closure(S)) - d / 2 < diameter(closure(S))"
       by simp
     have dd: "diameter (closure S) - d / 2 = (diameter(closure(S)) + diameter(S)) / 2"
       by (simp add: d_def field_split_simps)
      have bocl: "bounded (closure S)"
       using assms by blast
     moreover have "0 \<le> diameter S"
       using assms diameter_ge_0 by blast
     ultimately obtain x y where "x \<in> closure S" "y \<in> closure S" and xy: "diameter(closure(S)) - d / 2 < dist x y"
       using diameter_bounded(2) [OF bocl, rule_format, of "diameter(closure(S)) - d / 2"] \<open>d > 0\<close> d_def by auto
     then obtain x' y' where x'y': "x' \<in> S" "dist x' x < d/4" "y' \<in> S" "dist y' y < d/4"
       using closure_approachable
       by (metis \<open>0 < d\<close> zero_less_divide_iff zero_less_numeral)
     then have "dist x' y' \<le> diameter S"
       using assms diameter_bounded_bound by blast
     with x'y' have "dist x y \<le> d / 4 + diameter S + d / 4"
       by (meson add_mono_thms_linordered_semiring(1) dist_triangle dist_triangle3 less_eq_real_def order_trans)
     then show ?thesis
       using xy d_def by linarith
   qed
   then show "diameter (closure S) \<le> diameter S"
     by fastforce
   next
     show "diameter S \<le> diameter (closure S)"
       by (simp add: assms bounded_closure closure_subset diameter_subset)
 qed
 
 proposition Lebesgue_number_lemma:
   assumes "compact S" "\<C> \<noteq> {}" "S \<subseteq> \<Union>\<C>" and ope: "\<And>B. B \<in> \<C> \<Longrightarrow> open B"
   obtains \<delta> where "0 < \<delta>" "\<And>T. \<lbrakk>T \<subseteq> S; diameter T < \<delta>\<rbrakk> \<Longrightarrow> \<exists>B \<in> \<C>. T \<subseteq> B"
 proof (cases "S = {}")
   case True
   then show ?thesis
     by (metis \<open>\<C> \<noteq> {}\<close> zero_less_one empty_subsetI equals0I subset_trans that)
 next
   case False
   { fix x assume "x \<in> S"
     then obtain C where C: "x \<in> C" "C \<in> \<C>"
       using \<open>S \<subseteq> \<Union>\<C>\<close> by blast
     then obtain r where r: "r>0" "ball x (2*r) \<subseteq> C"
       by (metis mult.commute mult_2_right not_le ope openE field_sum_of_halves zero_le_numeral zero_less_mult_iff)
     then have "\<exists>r C. r > 0 \<and> ball x (2*r) \<subseteq> C \<and> C \<in> \<C>"
       using C by blast
   }
   then obtain r where r: "\<And>x. x \<in> S \<Longrightarrow> r x > 0 \<and> (\<exists>C \<in> \<C>. ball x (2*r x) \<subseteq> C)"
     by metis
   then have "S \<subseteq> (\<Union>x \<in> S. ball x (r x))"
     by auto
   then obtain \<T> where "finite \<T>" "S \<subseteq> \<Union>\<T>" and \<T>: "\<T> \<subseteq> (\<lambda>x. ball x (r x)) ` S"
     by (rule compactE [OF \<open>compact S\<close>]) auto
   then obtain S0 where "S0 \<subseteq> S" "finite S0" and S0: "\<T> = (\<lambda>x. ball x (r x)) ` S0"
     by (meson finite_subset_image)
   then have "S0 \<noteq> {}"
     using False \<open>S \<subseteq> \<Union>\<T>\<close> by auto
   define \<delta> where "\<delta> = Inf (r ` S0)"
   have "\<delta> > 0"
     using \<open>finite S0\<close> \<open>S0 \<subseteq> S\<close> \<open>S0 \<noteq> {}\<close> r by (auto simp: \<delta>_def finite_less_Inf_iff)
   show ?thesis
   proof
     show "0 < \<delta>"
       by (simp add: \<open>0 < \<delta>\<close>)
     show "\<exists>B \<in> \<C>. T \<subseteq> B" if "T \<subseteq> S" and dia: "diameter T < \<delta>" for T
     proof (cases "T = {}")
       case True
       then show ?thesis
         using \<open>\<C> \<noteq> {}\<close> by blast
     next
       case False
       then obtain y where "y \<in> T" by blast
       then have "y \<in> S"
         using \<open>T \<subseteq> S\<close> by auto
       then obtain x where "x \<in> S0" and x: "y \<in> ball x (r x)"
         using \<open>S \<subseteq> \<Union>\<T>\<close> S0 that by blast
       have "ball y \<delta> \<subseteq> ball y (r x)"
         by (metis \<delta>_def \<open>S0 \<noteq> {}\<close> \<open>finite S0\<close> \<open>x \<in> S0\<close> empty_is_image finite_imageI finite_less_Inf_iff imageI less_irrefl not_le subset_ball)
       also have "... \<subseteq> ball x (2*r x)"
         using x by metric
       finally obtain C where "C \<in> \<C>" "ball y \<delta> \<subseteq> C"
         by (meson r \<open>S0 \<subseteq> S\<close> \<open>x \<in> S0\<close> dual_order.trans subsetCE)
       have "bounded T"
         using \<open>compact S\<close> bounded_subset compact_imp_bounded \<open>T \<subseteq> S\<close> by blast
       then have "T \<subseteq> ball y \<delta>"
         using \<open>y \<in> T\<close> dia diameter_bounded_bound by fastforce
       then show ?thesis
         apply (rule_tac x=C in bexI)
         using \<open>ball y \<delta> \<subseteq> C\<close> \<open>C \<in> \<C>\<close> by auto
     qed
   qed
 qed
 
 
 subsection \<open>Metric spaces with the Heine-Borel property\<close>
 
 text \<open>
   A metric space (or topological vector space) is said to have the
   Heine-Borel property if every closed and bounded subset is compact.
 \<close>
 
 class heine_borel = metric_space +
   assumes bounded_imp_convergent_subsequence:
     "bounded (range f) \<Longrightarrow> \<exists>l r. strict_mono (r::nat\<Rightarrow>nat) \<and> ((f \<circ> r) \<longlongrightarrow> l) sequentially"
 
 proposition bounded_closed_imp_seq_compact:
   fixes s::"'a::heine_borel set"
   assumes "bounded s"
     and "closed s"
   shows "seq_compact s"
 proof (unfold seq_compact_def, clarify)
   fix f :: "nat \<Rightarrow> 'a"
   assume f: "\<forall>n. f n \<in> s"
   with \<open>bounded s\<close> have "bounded (range f)"
     by (auto intro: bounded_subset)
   obtain l r where r: "strict_mono (r :: nat \<Rightarrow> nat)" and l: "((f \<circ> r) \<longlongrightarrow> l) sequentially"
     using bounded_imp_convergent_subsequence [OF \<open>bounded (range f)\<close>] by auto
   from f have fr: "\<forall>n. (f \<circ> r) n \<in> s"
     by simp
   have "l \<in> s" using \<open>closed s\<close> fr l
     by (rule closed_sequentially)
   show "\<exists>l\<in>s. \<exists>r. strict_mono r \<and> ((f \<circ> r) \<longlongrightarrow> l) sequentially"
     using \<open>l \<in> s\<close> r l by blast
 qed
 
 lemma compact_eq_bounded_closed:
   fixes s :: "'a::heine_borel set"
   shows "compact s \<longleftrightarrow> bounded s \<and> closed s"
   (is "?lhs = ?rhs")
 proof
   assume ?lhs
   then show ?rhs
     using compact_imp_closed compact_imp_bounded
     by blast
 next
   assume ?rhs
   then show ?lhs
     using bounded_closed_imp_seq_compact[of s]
     unfolding compact_eq_seq_compact_metric
     by auto
 qed
 
 lemma compact_Inter:
   fixes \<F> :: "'a :: heine_borel set set"
   assumes com: "\<And>S. S \<in> \<F> \<Longrightarrow> compact S" and "\<F> \<noteq> {}"
   shows "compact(\<Inter> \<F>)"
   using assms
   by (meson Inf_lower all_not_in_conv bounded_subset closed_Inter compact_eq_bounded_closed)
 
 lemma compact_closure [simp]:
   fixes S :: "'a::heine_borel set"
   shows "compact(closure S) \<longleftrightarrow> bounded S"
 by (meson bounded_closure bounded_subset closed_closure closure_subset compact_eq_bounded_closed)
 
 instance\<^marker>\<open>tag important\<close> real :: heine_borel
 proof
   fix f :: "nat \<Rightarrow> real"
   assume f: "bounded (range f)"
   obtain r :: "nat \<Rightarrow> nat" where r: "strict_mono r" "monoseq (f \<circ> r)"
     unfolding comp_def by (metis seq_monosub)
   then have "Bseq (f \<circ> r)"
     unfolding Bseq_eq_bounded using f
     by (metis BseqI' bounded_iff comp_apply rangeI)
   with r show "\<exists>l r. strict_mono r \<and> (f \<circ> r) \<longlonglongrightarrow> l"
     using Bseq_monoseq_convergent[of "f \<circ> r"] by (auto simp: convergent_def)
 qed
 
 lemma compact_lemma_general:
   fixes f :: "nat \<Rightarrow> 'a"
   fixes proj::"'a \<Rightarrow> 'b \<Rightarrow> 'c::heine_borel" (infixl "proj" 60)
   fixes unproj:: "('b \<Rightarrow> 'c) \<Rightarrow> 'a"
   assumes finite_basis: "finite basis"
   assumes bounded_proj: "\<And>k. k \<in> basis \<Longrightarrow> bounded ((\<lambda>x. x proj k) ` range f)"
   assumes proj_unproj: "\<And>e k. k \<in> basis \<Longrightarrow> (unproj e) proj k = e k"
   assumes unproj_proj: "\<And>x. unproj (\<lambda>k. x proj k) = x"
   shows "\<forall>d\<subseteq>basis. \<exists>l::'a. \<exists> r::nat\<Rightarrow>nat.
     strict_mono r \<and> (\<forall>e>0. eventually (\<lambda>n. \<forall>i\<in>d. dist (f (r n) proj i) (l proj i) < e) sequentially)"
 proof safe
   fix d :: "'b set"
   assume d: "d \<subseteq> basis"
   with finite_basis have "finite d"
     by (blast intro: finite_subset)
   from this d show "\<exists>l::'a. \<exists>r::nat\<Rightarrow>nat. strict_mono r \<and>
     (\<forall>e>0. eventually (\<lambda>n. \<forall>i\<in>d. dist (f (r n) proj i) (l proj i) < e) sequentially)"
   proof (induct d)
     case empty
     then show ?case
       unfolding strict_mono_def by auto
   next
     case (insert k d)
     have k[intro]: "k \<in> basis"
       using insert by auto
     have s': "bounded ((\<lambda>x. x proj k) ` range f)"
       using k
       by (rule bounded_proj)
     obtain l1::"'a" and r1 where r1: "strict_mono r1"
       and lr1: "\<forall>e > 0. eventually (\<lambda>n. \<forall>i\<in>d. dist (f (r1 n) proj i) (l1 proj i) < e) sequentially"
       using insert(3) using insert(4) by auto
     have f': "\<forall>n. f (r1 n) proj k \<in> (\<lambda>x. x proj k) ` range f"
       by simp
     have "bounded (range (\<lambda>i. f (r1 i) proj k))"
       by (metis (lifting) bounded_subset f' image_subsetI s')
     then obtain l2 r2 where r2:"strict_mono r2" and lr2:"((\<lambda>i. f (r1 (r2 i)) proj k) \<longlongrightarrow> l2) sequentially"
       using bounded_imp_convergent_subsequence[of "\<lambda>i. f (r1 i) proj k"]
       by (auto simp: o_def)
     define r where "r = r1 \<circ> r2"
     have r:"strict_mono r"
       using r1 and r2 unfolding r_def o_def strict_mono_def by auto
     moreover
     define l where "l = unproj (\<lambda>i. if i = k then l2 else l1 proj i)"
     {
       fix e::real
       assume "e > 0"
       from lr1 \<open>e > 0\<close> have N1: "eventually (\<lambda>n. \<forall>i\<in>d. dist (f (r1 n) proj i) (l1 proj i) < e) sequentially"
         by blast
       from lr2 \<open>e > 0\<close> have N2:"eventually (\<lambda>n. dist (f (r1 (r2 n)) proj k) l2 < e) sequentially"
         by (rule tendstoD)
       from r2 N1 have N1': "eventually (\<lambda>n. \<forall>i\<in>d. dist (f (r1 (r2 n)) proj i) (l1 proj i) < e) sequentially"
         by (rule eventually_subseq)
       have "eventually (\<lambda>n. \<forall>i\<in>(insert k d). dist (f (r n) proj i) (l proj i) < e) sequentially"
         using N1' N2
         by eventually_elim (insert insert.prems, auto simp: l_def r_def o_def proj_unproj)
     }
     ultimately show ?case by auto
   qed
 qed
 
 lemma bounded_fst: "bounded s \<Longrightarrow> bounded (fst ` s)"
   unfolding bounded_def
   by (metis (erased, hide_lams) dist_fst_le image_iff order_trans)
 
 lemma bounded_snd: "bounded s \<Longrightarrow> bounded (snd ` s)"
   unfolding bounded_def
   by (metis (no_types, hide_lams) dist_snd_le image_iff order.trans)
 
 instance\<^marker>\<open>tag important\<close> prod :: (heine_borel, heine_borel) heine_borel
 proof
   fix f :: "nat \<Rightarrow> 'a \<times> 'b"
   assume f: "bounded (range f)"
   then have "bounded (fst ` range f)"
     by (rule bounded_fst)
   then have s1: "bounded (range (fst \<circ> f))"
     by (simp add: image_comp)
   obtain l1 r1 where r1: "strict_mono r1" and l1: "(\<lambda>n. fst (f (r1 n))) \<longlonglongrightarrow> l1"
     using bounded_imp_convergent_subsequence [OF s1] unfolding o_def by fast
   from f have s2: "bounded (range (snd \<circ> f \<circ> r1))"
     by (auto simp: image_comp intro: bounded_snd bounded_subset)
   obtain l2 r2 where r2: "strict_mono r2" and l2: "((\<lambda>n. snd (f (r1 (r2 n)))) \<longlongrightarrow> l2) sequentially"
     using bounded_imp_convergent_subsequence [OF s2]
     unfolding o_def by fast
   have l1': "((\<lambda>n. fst (f (r1 (r2 n)))) \<longlongrightarrow> l1) sequentially"
     using LIMSEQ_subseq_LIMSEQ [OF l1 r2] unfolding o_def .
   have l: "((f \<circ> (r1 \<circ> r2)) \<longlongrightarrow> (l1, l2)) sequentially"
     using tendsto_Pair [OF l1' l2] unfolding o_def by simp
   have r: "strict_mono (r1 \<circ> r2)"
     using r1 r2 unfolding strict_mono_def by simp
   show "\<exists>l r. strict_mono r \<and> ((f \<circ> r) \<longlongrightarrow> l) sequentially"
     using l r by fast
 qed
 
 
 subsection \<open>Completeness\<close>
 
 proposition (in metric_space) completeI:
   assumes "\<And>f. \<forall>n. f n \<in> s \<Longrightarrow> Cauchy f \<Longrightarrow> \<exists>l\<in>s. f \<longlonglongrightarrow> l"
   shows "complete s"
   using assms unfolding complete_def by fast
 
 proposition (in metric_space) completeE:
   assumes "complete s" and "\<forall>n. f n \<in> s" and "Cauchy f"
   obtains l where "l \<in> s" and "f \<longlonglongrightarrow> l"
   using assms unfolding complete_def by fast
 
 (* TODO: generalize to uniform spaces *)
 lemma compact_imp_complete:
   fixes s :: "'a::metric_space set"
   assumes "compact s"
   shows "complete s"
 proof -
   {
     fix f
     assume as: "(\<forall>n::nat. f n \<in> s)" "Cauchy f"
     from as(1) obtain l r where lr: "l\<in>s" "strict_mono r" "(f \<circ> r) \<longlonglongrightarrow> l"
       using assms unfolding compact_def by blast
 
     note lr' = seq_suble [OF lr(2)]
     {
       fix e :: real
       assume "e > 0"
       from as(2) obtain N where N:"\<forall>m n. N \<le> m \<and> N \<le> n \<longrightarrow> dist (f m) (f n) < e/2"
         unfolding cauchy_def
         using \<open>e > 0\<close>
         apply (erule_tac x="e/2" in allE, auto)
         done
       from lr(3)[unfolded lim_sequentially, THEN spec[where x="e/2"]]
       obtain M where M:"\<forall>n\<ge>M. dist ((f \<circ> r) n) l < e/2"
         using \<open>e > 0\<close> by auto
       {
         fix n :: nat
         assume n: "n \<ge> max N M"
         have "dist ((f \<circ> r) n) l < e/2"
           using n M by auto
         moreover have "r n \<ge> N"
           using lr'[of n] n by auto
         then have "dist (f n) ((f \<circ> r) n) < e / 2"
           using N and n by auto
         ultimately have "dist (f n) l < e" using n M
           by metric
       }
       then have "\<exists>N. \<forall>n\<ge>N. dist (f n) l < e" by blast
     }
     then have "\<exists>l\<in>s. (f \<longlongrightarrow> l) sequentially" using \<open>l\<in>s\<close>
       unfolding lim_sequentially by auto
   }
   then show ?thesis unfolding complete_def by auto
 qed
 
 proposition compact_eq_totally_bounded:
   "compact s \<longleftrightarrow> complete s \<and> (\<forall>e>0. \<exists>k. finite k \<and> s \<subseteq> (\<Union>x\<in>k. ball x e))"
     (is "_ \<longleftrightarrow> ?rhs")
 proof
   assume assms: "?rhs"
   then obtain k where k: "\<And>e. 0 < e \<Longrightarrow> finite (k e)" "\<And>e. 0 < e \<Longrightarrow> s \<subseteq> (\<Union>x\<in>k e. ball x e)"
     by (auto simp: choice_iff')
 
   show "compact s"
   proof cases
     assume "s = {}"
     then show "compact s" by (simp add: compact_def)
   next
     assume "s \<noteq> {}"
     show ?thesis
       unfolding compact_def
     proof safe
       fix f :: "nat \<Rightarrow> 'a"
       assume f: "\<forall>n. f n \<in> s"
 
       define e where "e n = 1 / (2 * Suc n)" for n
       then have [simp]: "\<And>n. 0 < e n" by auto
       define B where "B n U = (SOME b. infinite {n. f n \<in> b} \<and> (\<exists>x. b \<subseteq> ball x (e n) \<inter> U))" for n U
       {
         fix n U
         assume "infinite {n. f n \<in> U}"
         then have "\<exists>b\<in>k (e n). infinite {i\<in>{n. f n \<in> U}. f i \<in> ball b (e n)}"
           using k f by (intro pigeonhole_infinite_rel) (auto simp: subset_eq)
         then obtain a where
           "a \<in> k (e n)"
           "infinite {i \<in> {n. f n \<in> U}. f i \<in> ball a (e n)}" ..
         then have "\<exists>b. infinite {i. f i \<in> b} \<and> (\<exists>x. b \<subseteq> ball x (e n) \<inter> U)"
           by (intro exI[of _ "ball a (e n) \<inter> U"] exI[of _ a]) (auto simp: ac_simps)
         from someI_ex[OF this]
         have "infinite {i. f i \<in> B n U}" "\<exists>x. B n U \<subseteq> ball x (e n) \<inter> U"
           unfolding B_def by auto
       }
       note B = this
 
       define F where "F = rec_nat (B 0 UNIV) B"
       {
         fix n
         have "infinite {i. f i \<in> F n}"
           by (induct n) (auto simp: F_def B)
       }
       then have F: "\<And>n. \<exists>x. F (Suc n) \<subseteq> ball x (e n) \<inter> F n"
         using B by (simp add: F_def)
       then have F_dec: "\<And>m n. m \<le> n \<Longrightarrow> F n \<subseteq> F m"
         using decseq_SucI[of F] by (auto simp: decseq_def)
 
       obtain sel where sel: "\<And>k i. i < sel k i" "\<And>k i. f (sel k i) \<in> F k"
       proof (atomize_elim, unfold all_conj_distrib[symmetric], intro choice allI)
         fix k i
         have "infinite ({n. f n \<in> F k} - {.. i})"
           using \<open>infinite {n. f n \<in> F k}\<close> by auto
         from infinite_imp_nonempty[OF this]
         show "\<exists>x>i. f x \<in> F k"
           by (simp add: set_eq_iff not_le conj_commute)
       qed
 
       define t where "t = rec_nat (sel 0 0) (\<lambda>n i. sel (Suc n) i)"
       have "strict_mono t"
         unfolding strict_mono_Suc_iff by (simp add: t_def sel)
       moreover have "\<forall>i. (f \<circ> t) i \<in> s"
         using f by auto
       moreover
       {
         fix n
         have "(f \<circ> t) n \<in> F n"
           by (cases n) (simp_all add: t_def sel)
       }
       note t = this
 
       have "Cauchy (f \<circ> t)"
       proof (safe intro!: metric_CauchyI exI elim!: nat_approx_posE)
         fix r :: real and N n m
         assume "1 / Suc N < r" "Suc N \<le> n" "Suc N \<le> m"
         then have "(f \<circ> t) n \<in> F (Suc N)" "(f \<circ> t) m \<in> F (Suc N)" "2 * e N < r"
           using F_dec t by (auto simp: e_def field_simps)
         with F[of N] obtain x where "dist x ((f \<circ> t) n) < e N" "dist x ((f \<circ> t) m) < e N"
           by (auto simp: subset_eq)
         with \<open>2 * e N < r\<close> show "dist ((f \<circ> t) m) ((f \<circ> t) n) < r"
           by metric
       qed
 
       ultimately show "\<exists>l\<in>s. \<exists>r. strict_mono r \<and> (f \<circ> r) \<longlonglongrightarrow> l"
         using assms unfolding complete_def by blast
     qed
   qed
 qed (metis compact_imp_complete compact_imp_seq_compact seq_compact_imp_totally_bounded)
 
 lemma cauchy_imp_bounded:
   assumes "Cauchy s"
   shows "bounded (range s)"
 proof -
   from assms obtain N :: nat where "\<forall>m n. N \<le> m \<and> N \<le> n \<longrightarrow> dist (s m) (s n) < 1"
     unfolding cauchy_def by force
   then have N:"\<forall>n. N \<le> n \<longrightarrow> dist (s N) (s n) < 1" by auto
   moreover
   have "bounded (s ` {0..N})"
     using finite_imp_bounded[of "s ` {1..N}"] by auto
   then obtain a where a:"\<forall>x\<in>s ` {0..N}. dist (s N) x \<le> a"
     unfolding bounded_any_center [where a="s N"] by auto
   ultimately show "?thesis"
     unfolding bounded_any_center [where a="s N"]
     apply (rule_tac x="max a 1" in exI, auto)
     apply (erule_tac x=y in allE)
     apply (erule_tac x=y in ballE, auto)
     done
 qed
 
 instance heine_borel < complete_space
 proof
   fix f :: "nat \<Rightarrow> 'a" assume "Cauchy f"
   then have "bounded (range f)"
     by (rule cauchy_imp_bounded)
   then have "compact (closure (range f))"
     unfolding compact_eq_bounded_closed by auto
   then have "complete (closure (range f))"
     by (rule compact_imp_complete)
   moreover have "\<forall>n. f n \<in> closure (range f)"
     using closure_subset [of "range f"] by auto
   ultimately have "\<exists>l\<in>closure (range f). (f \<longlongrightarrow> l) sequentially"
     using \<open>Cauchy f\<close> unfolding complete_def by auto
   then show "convergent f"
     unfolding convergent_def by auto
 qed
 
 lemma complete_UNIV: "complete (UNIV :: ('a::complete_space) set)"
 proof (rule completeI)
   fix f :: "nat \<Rightarrow> 'a" assume "Cauchy f"
   then have "convergent f" by (rule Cauchy_convergent)
   then show "\<exists>l\<in>UNIV. f \<longlonglongrightarrow> l" unfolding convergent_def by simp
 qed
 
 lemma complete_imp_closed:
   fixes S :: "'a::metric_space set"
   assumes "complete S"
   shows "closed S"
 proof (unfold closed_sequential_limits, clarify)
   fix f x assume "\<forall>n. f n \<in> S" and "f \<longlonglongrightarrow> x"
   from \<open>f \<longlonglongrightarrow> x\<close> have "Cauchy f"
     by (rule LIMSEQ_imp_Cauchy)
   with \<open>complete S\<close> and \<open>\<forall>n. f n \<in> S\<close> obtain l where "l \<in> S" and "f \<longlonglongrightarrow> l"
     by (rule completeE)
   from \<open>f \<longlonglongrightarrow> x\<close> and \<open>f \<longlonglongrightarrow> l\<close> have "x = l"
     by (rule LIMSEQ_unique)
   with \<open>l \<in> S\<close> show "x \<in> S"
     by simp
 qed
 
 lemma complete_Int_closed:
   fixes S :: "'a::metric_space set"
   assumes "complete S" and "closed t"
   shows "complete (S \<inter> t)"
 proof (rule completeI)
   fix f assume "\<forall>n. f n \<in> S \<inter> t" and "Cauchy f"
   then have "\<forall>n. f n \<in> S" and "\<forall>n. f n \<in> t"
     by simp_all
   from \<open>complete S\<close> obtain l where "l \<in> S" and "f \<longlonglongrightarrow> l"
     using \<open>\<forall>n. f n \<in> S\<close> and \<open>Cauchy f\<close> by (rule completeE)
   from \<open>closed t\<close> and \<open>\<forall>n. f n \<in> t\<close> and \<open>f \<longlonglongrightarrow> l\<close> have "l \<in> t"
     by (rule closed_sequentially)
   with \<open>l \<in> S\<close> and \<open>f \<longlonglongrightarrow> l\<close> show "\<exists>l\<in>S \<inter> t. f \<longlonglongrightarrow> l"
     by fast
 qed
 
 lemma complete_closed_subset:
   fixes S :: "'a::metric_space set"
   assumes "closed S" and "S \<subseteq> t" and "complete t"
   shows "complete S"
   using assms complete_Int_closed [of t S] by (simp add: Int_absorb1)
 
 lemma complete_eq_closed:
   fixes S :: "('a::complete_space) set"
   shows "complete S \<longleftrightarrow> closed S"
 proof
   assume "closed S" then show "complete S"
     using subset_UNIV complete_UNIV by (rule complete_closed_subset)
 next
   assume "complete S" then show "closed S"
     by (rule complete_imp_closed)
 qed
 
 lemma convergent_eq_Cauchy:
   fixes S :: "nat \<Rightarrow> 'a::complete_space"
   shows "(\<exists>l. (S \<longlongrightarrow> l) sequentially) \<longleftrightarrow> Cauchy S"
   unfolding Cauchy_convergent_iff convergent_def ..
 
 lemma convergent_imp_bounded:
   fixes S :: "nat \<Rightarrow> 'a::metric_space"
   shows "(S \<longlongrightarrow> l) sequentially \<Longrightarrow> bounded (range S)"
   by (intro cauchy_imp_bounded LIMSEQ_imp_Cauchy)
 
 lemma frontier_subset_compact:
   fixes S :: "'a::heine_borel set"
   shows "compact S \<Longrightarrow> frontier S \<subseteq> S"
   using frontier_subset_closed compact_eq_bounded_closed
   by blast
 
 lemma continuous_closed_imp_Cauchy_continuous:
   fixes S :: "('a::complete_space) set"
   shows "\<lbrakk>continuous_on S f; closed S; Cauchy \<sigma>; \<And>n. (\<sigma> n) \<in> S\<rbrakk> \<Longrightarrow> Cauchy(f \<circ> \<sigma>)"
   apply (simp add: complete_eq_closed [symmetric] continuous_on_sequentially)
   by (meson LIMSEQ_imp_Cauchy complete_def)
 
 lemma banach_fix_type:
   fixes f::"'a::complete_space\<Rightarrow>'a"
   assumes c:"0 \<le> c" "c < 1"
       and lipschitz:"\<forall>x. \<forall>y. dist (f x) (f y) \<le> c * dist x y"
   shows "\<exists>!x. (f x = x)"
   using assms banach_fix[OF complete_UNIV UNIV_not_empty assms(1,2) subset_UNIV, of f]
   by auto
 
 
 subsection\<^marker>\<open>tag unimportant\<close>\<open> Finite intersection property\<close>
 
 text\<open>Also developed in HOL's toplogical spaces theory, but the Heine-Borel type class isn't available there.\<close>
 
 lemma closed_imp_fip:
   fixes S :: "'a::heine_borel set"
   assumes "closed S"
       and T: "T \<in> \<F>" "bounded T"
       and clof: "\<And>T. T \<in> \<F> \<Longrightarrow> closed T"
       and none: "\<And>\<F>'. \<lbrakk>finite \<F>'; \<F>' \<subseteq> \<F>\<rbrakk> \<Longrightarrow> S \<inter> \<Inter>\<F>' \<noteq> {}"
     shows "S \<inter> \<Inter>\<F> \<noteq> {}"
 proof -
   have "compact (S \<inter> T)"
     using \<open>closed S\<close> clof compact_eq_bounded_closed T by blast
   then have "(S \<inter> T) \<inter> \<Inter>\<F> \<noteq> {}"
     apply (rule compact_imp_fip)
      apply (simp add: clof)
     by (metis Int_assoc complete_lattice_class.Inf_insert finite_insert insert_subset none \<open>T \<in> \<F>\<close>)
   then show ?thesis by blast
 qed
 
 lemma closed_imp_fip_compact:
   fixes S :: "'a::heine_borel set"
   shows
    "\<lbrakk>closed S; \<And>T. T \<in> \<F> \<Longrightarrow> compact T;
      \<And>\<F>'. \<lbrakk>finite \<F>'; \<F>' \<subseteq> \<F>\<rbrakk> \<Longrightarrow> S \<inter> \<Inter>\<F>' \<noteq> {}\<rbrakk>
         \<Longrightarrow> S \<inter> \<Inter>\<F> \<noteq> {}"
 by (metis Inf_greatest closed_imp_fip compact_eq_bounded_closed empty_subsetI finite.emptyI inf.orderE)
 
 lemma closed_fip_Heine_Borel:
   fixes \<F> :: "'a::heine_borel set set"
   assumes "closed S" "T \<in> \<F>" "bounded T"
       and "\<And>T. T \<in> \<F> \<Longrightarrow> closed T"
       and "\<And>\<F>'. \<lbrakk>finite \<F>'; \<F>' \<subseteq> \<F>\<rbrakk> \<Longrightarrow> \<Inter>\<F>' \<noteq> {}"
     shows "\<Inter>\<F> \<noteq> {}"
 proof -
   have "UNIV \<inter> \<Inter>\<F> \<noteq> {}"
     using assms closed_imp_fip [OF closed_UNIV] by auto
   then show ?thesis by simp
 qed
 
 lemma compact_fip_Heine_Borel:
   fixes \<F> :: "'a::heine_borel set set"
   assumes clof: "\<And>T. T \<in> \<F> \<Longrightarrow> compact T"
       and none: "\<And>\<F>'. \<lbrakk>finite \<F>'; \<F>' \<subseteq> \<F>\<rbrakk> \<Longrightarrow> \<Inter>\<F>' \<noteq> {}"
     shows "\<Inter>\<F> \<noteq> {}"
 by (metis InterI all_not_in_conv clof closed_fip_Heine_Borel compact_eq_bounded_closed none)
 
 lemma compact_sequence_with_limit:
   fixes f :: "nat \<Rightarrow> 'a::heine_borel"
   shows "(f \<longlongrightarrow> l) sequentially \<Longrightarrow> compact (insert l (range f))"
 apply (simp add: compact_eq_bounded_closed, auto)
 apply (simp add: convergent_imp_bounded)
 by (simp add: closed_limpt islimpt_insert sequence_unique_limpt)
 
 
 subsection \<open>Properties of Balls and Spheres\<close>
 
 lemma compact_cball[simp]:
   fixes x :: "'a::heine_borel"
   shows "compact (cball x e)"
   using compact_eq_bounded_closed bounded_cball closed_cball
   by blast
 
 lemma compact_frontier_bounded[intro]:
   fixes S :: "'a::heine_borel set"
   shows "bounded S \<Longrightarrow> compact (frontier S)"
   unfolding frontier_def
   using compact_eq_bounded_closed
   by blast
 
 lemma compact_frontier[intro]:
   fixes S :: "'a::heine_borel set"
   shows "compact S \<Longrightarrow> compact (frontier S)"
   using compact_eq_bounded_closed compact_frontier_bounded
   by blast
 
 
 subsection \<open>Distance from a Set\<close>
 
 lemma distance_attains_sup:
   assumes "compact s" "s \<noteq> {}"
   shows "\<exists>x\<in>s. \<forall>y\<in>s. dist a y \<le> dist a x"
 proof (rule continuous_attains_sup [OF assms])
   {
     fix x
     assume "x\<in>s"
     have "(dist a \<longlongrightarrow> dist a x) (at x within s)"
       by (intro tendsto_dist tendsto_const tendsto_ident_at)
   }
   then show "continuous_on s (dist a)"
     unfolding continuous_on ..
 qed
 
 text \<open>For \emph{minimal} distance, we only need closure, not compactness.\<close>
 
 lemma distance_attains_inf:
   fixes a :: "'a::heine_borel"
   assumes "closed s" and "s \<noteq> {}"
   obtains x where "x\<in>s" "\<And>y. y \<in> s \<Longrightarrow> dist a x \<le> dist a y"
 proof -
   from assms obtain b where "b \<in> s" by auto
   let ?B = "s \<inter> cball a (dist b a)"
   have "?B \<noteq> {}" using \<open>b \<in> s\<close>
     by (auto simp: dist_commute)
   moreover have "continuous_on ?B (dist a)"
     by (auto intro!: continuous_at_imp_continuous_on continuous_dist continuous_ident continuous_const)
   moreover have "compact ?B"
     by (intro closed_Int_compact \<open>closed s\<close> compact_cball)
   ultimately obtain x where "x \<in> ?B" "\<forall>y\<in>?B. dist a x \<le> dist a y"
     by (metis continuous_attains_inf)
   with that show ?thesis by fastforce
 qed
 
 
 subsection \<open>Infimum Distance\<close>
 
 definition\<^marker>\<open>tag important\<close> "infdist x A = (if A = {} then 0 else INF a\<in>A. dist x a)"
 
 lemma bdd_below_image_dist[intro, simp]: "bdd_below (dist x ` A)"
   by (auto intro!: zero_le_dist)
 
 lemma infdist_notempty: "A \<noteq> {} \<Longrightarrow> infdist x A = (INF a\<in>A. dist x a)"
   by (simp add: infdist_def)
 
 lemma infdist_nonneg: "0 \<le> infdist x A"
   by (auto simp: infdist_def intro: cINF_greatest)
 
 lemma infdist_le: "a \<in> A \<Longrightarrow> infdist x A \<le> dist x a"
   by (auto intro: cINF_lower simp add: infdist_def)
 
 lemma infdist_le2: "a \<in> A \<Longrightarrow> dist x a \<le> d \<Longrightarrow> infdist x A \<le> d"
   by (auto intro!: cINF_lower2 simp add: infdist_def)
 
 lemma infdist_zero[simp]: "a \<in> A \<Longrightarrow> infdist a A = 0"
   by (auto intro!: antisym infdist_nonneg infdist_le2)
 
 lemma infdist_Un_min:
   assumes "A \<noteq> {}" "B \<noteq> {}"
   shows "infdist x (A \<union> B) = min (infdist x A) (infdist x B)"
 using assms by (simp add: infdist_def cINF_union inf_real_def)
 
 lemma infdist_triangle: "infdist x A \<le> infdist y A + dist x y"
 proof (cases "A = {}")
   case True
   then show ?thesis by (simp add: infdist_def)
 next
   case False
   then obtain a where "a \<in> A" by auto
   have "infdist x A \<le> Inf {dist x y + dist y a |a. a \<in> A}"
   proof (rule cInf_greatest)
     from \<open>A \<noteq> {}\<close> show "{dist x y + dist y a |a. a \<in> A} \<noteq> {}"
       by simp
     fix d
     assume "d \<in> {dist x y + dist y a |a. a \<in> A}"
     then obtain a where d: "d = dist x y + dist y a" "a \<in> A"
       by auto
     show "infdist x A \<le> d"
       unfolding infdist_notempty[OF \<open>A \<noteq> {}\<close>]
     proof (rule cINF_lower2)
       show "a \<in> A" by fact
       show "dist x a \<le> d"
         unfolding d by (rule dist_triangle)
     qed simp
   qed
   also have "\<dots> = dist x y + infdist y A"
   proof (rule cInf_eq, safe)
     fix a
     assume "a \<in> A"
     then show "dist x y + infdist y A \<le> dist x y + dist y a"
       by (auto intro: infdist_le)
   next
     fix i
     assume inf: "\<And>d. d \<in> {dist x y + dist y a |a. a \<in> A} \<Longrightarrow> i \<le> d"
     then have "i - dist x y \<le> infdist y A"
       unfolding infdist_notempty[OF \<open>A \<noteq> {}\<close>] using \<open>a \<in> A\<close>
       by (intro cINF_greatest) (auto simp: field_simps)
     then show "i \<le> dist x y + infdist y A"
       by simp
   qed
   finally show ?thesis by simp
 qed
 
 lemma infdist_triangle_abs: "\<bar>infdist x A - infdist y A\<bar> \<le> dist x y"
   by (metis (full_types) abs_diff_le_iff diff_le_eq dist_commute infdist_triangle)
 
 lemma in_closure_iff_infdist_zero:
   assumes "A \<noteq> {}"
   shows "x \<in> closure A \<longleftrightarrow> infdist x A = 0"
 proof
   assume "x \<in> closure A"
   show "infdist x A = 0"
   proof (rule ccontr)
     assume "infdist x A \<noteq> 0"
     with infdist_nonneg[of x A] have "infdist x A > 0"
       by auto
     then have "ball x (infdist x A) \<inter> closure A = {}"
       apply auto
       apply (metis \<open>x \<in> closure A\<close> closure_approachable dist_commute infdist_le not_less)
       done
     then have "x \<notin> closure A"
       by (metis \<open>0 < infdist x A\<close> centre_in_ball disjoint_iff_not_equal)
     then show False using \<open>x \<in> closure A\<close> by simp
   qed
 next
   assume x: "infdist x A = 0"
   then obtain a where "a \<in> A"
     by atomize_elim (metis all_not_in_conv assms)
   show "x \<in> closure A"
     unfolding closure_approachable
     apply safe
   proof (rule ccontr)
     fix e :: real
     assume "e > 0"
     assume "\<not> (\<exists>y\<in>A. dist y x < e)"
     then have "infdist x A \<ge> e" using \<open>a \<in> A\<close>
       unfolding infdist_def
       by (force simp: dist_commute intro: cINF_greatest)
     with x \<open>e > 0\<close> show False by auto
   qed
 qed
 
 lemma in_closed_iff_infdist_zero:
   assumes "closed A" "A \<noteq> {}"
   shows "x \<in> A \<longleftrightarrow> infdist x A = 0"
 proof -
   have "x \<in> closure A \<longleftrightarrow> infdist x A = 0"
     by (rule in_closure_iff_infdist_zero) fact
   with assms show ?thesis by simp
 qed
 
 lemma infdist_pos_not_in_closed:
   assumes "closed S" "S \<noteq> {}" "x \<notin> S"
   shows "infdist x S > 0"
 using in_closed_iff_infdist_zero[OF assms(1) assms(2), of x] assms(3) infdist_nonneg le_less by fastforce
 
 lemma
   infdist_attains_inf:
   fixes X::"'a::heine_borel set"
   assumes "closed X"
   assumes "X \<noteq> {}"
   obtains x where "x \<in> X" "infdist y X = dist y x"
 proof -
   have "bdd_below (dist y ` X)"
     by auto
   from distance_attains_inf[OF assms, of y]
   obtain x where INF: "x \<in> X" "\<And>z. z \<in> X \<Longrightarrow> dist y x \<le> dist y z" by auto
   have "infdist y X = dist y x"
     by (auto simp: infdist_def assms
       intro!: antisym cINF_lower[OF _ \<open>x \<in> X\<close>] cINF_greatest[OF assms(2) INF(2)])
   with \<open>x \<in> X\<close> show ?thesis ..
 qed
 
 
 text \<open>Every metric space is a T4 space:\<close>
 
 instance metric_space \<subseteq> t4_space
 proof
   fix S T::"'a set" assume H: "closed S" "closed T" "S \<inter> T = {}"
   consider "S = {}" | "T = {}" | "S \<noteq> {} \<and> T \<noteq> {}" by auto
   then show "\<exists>U V. open U \<and> open V \<and> S \<subseteq> U \<and> T \<subseteq> V \<and> U \<inter> V = {}"
   proof (cases)
     case 1
     show ?thesis
       apply (rule exI[of _ "{}"], rule exI[of _ UNIV]) using 1 by auto
   next
     case 2
     show ?thesis
       apply (rule exI[of _ UNIV], rule exI[of _ "{}"]) using 2 by auto
   next
     case 3
     define U where "U = (\<Union>x\<in>S. ball x ((infdist x T)/2))"
     have A: "open U" unfolding U_def by auto
     have "infdist x T > 0" if "x \<in> S" for x
       using H that 3 by (auto intro!: infdist_pos_not_in_closed)
     then have B: "S \<subseteq> U" unfolding U_def by auto
     define V where "V = (\<Union>x\<in>T. ball x ((infdist x S)/2))"
     have C: "open V" unfolding V_def by auto
     have "infdist x S > 0" if "x \<in> T" for x
       using H that 3 by (auto intro!: infdist_pos_not_in_closed)
     then have D: "T \<subseteq> V" unfolding V_def by auto
 
     have "(ball x ((infdist x T)/2)) \<inter> (ball y ((infdist y S)/2)) = {}" if "x \<in> S" "y \<in> T" for x y
     proof (auto)
       fix z assume H: "dist x z * 2 < infdist x T" "dist y z * 2 < infdist y S"
       have "2 * dist x y \<le> 2 * dist x z + 2 * dist y z"
         by metric
       also have "... < infdist x T + infdist y S"
         using H by auto
       finally have "dist x y < infdist x T \<or> dist x y < infdist y S"
         by auto
       then show False
         using infdist_le[OF \<open>x \<in> S\<close>, of y] infdist_le[OF \<open>y \<in> T\<close>, of x] by (auto simp add: dist_commute)
     qed
     then have E: "U \<inter> V = {}"
       unfolding U_def V_def by auto
     show ?thesis
       apply (rule exI[of _ U], rule exI[of _ V]) using A B C D E by auto
   qed
 qed
 
 lemma tendsto_infdist [tendsto_intros]:
   assumes f: "(f \<longlongrightarrow> l) F"
   shows "((\<lambda>x. infdist (f x) A) \<longlongrightarrow> infdist l A) F"
 proof (rule tendstoI)
   fix e ::real
   assume "e > 0"
   from tendstoD[OF f this]
   show "eventually (\<lambda>x. dist (infdist (f x) A) (infdist l A) < e) F"
   proof (eventually_elim)
     fix x
     from infdist_triangle[of l A "f x"] infdist_triangle[of "f x" A l]
     have "dist (infdist (f x) A) (infdist l A) \<le> dist (f x) l"
       by (simp add: dist_commute dist_real_def)
     also assume "dist (f x) l < e"
     finally show "dist (infdist (f x) A) (infdist l A) < e" .
   qed
 qed
 
 lemma continuous_infdist[continuous_intros]:
   assumes "continuous F f"
   shows "continuous F (\<lambda>x. infdist (f x) A)"
   using assms unfolding continuous_def by (rule tendsto_infdist)
 
 lemma continuous_on_infdist [continuous_intros]:
   assumes "continuous_on S f"
   shows "continuous_on S (\<lambda>x. infdist (f x) A)"
 using assms unfolding continuous_on by (auto intro: tendsto_infdist)
 
 lemma compact_infdist_le:
   fixes A::"'a::heine_borel set"
   assumes "A \<noteq> {}"
   assumes "compact A"
   assumes "e > 0"
   shows "compact {x. infdist x A \<le> e}"
 proof -
   from continuous_closed_vimage[of "{0..e}" "\<lambda>x. infdist x A"]
     continuous_infdist[OF continuous_ident, of _ UNIV A]
   have "closed {x. infdist x A \<le> e}" by (auto simp: vimage_def infdist_nonneg)
   moreover
   from assms obtain x0 b where b: "\<And>x. x \<in> A \<Longrightarrow> dist x0 x \<le> b" "closed A"
     by (auto simp: compact_eq_bounded_closed bounded_def)
   {
     fix y
     assume "infdist y A \<le> e"
     moreover
     from infdist_attains_inf[OF \<open>closed A\<close> \<open>A \<noteq> {}\<close>, of y]
     obtain z where "z \<in> A" "infdist y A = dist y z" by blast
     ultimately
     have "dist x0 y \<le> b + e" using b by metric
   } then
   have "bounded {x. infdist x A \<le> e}"
     by (auto simp: bounded_any_center[where a=x0] intro!: exI[where x="b + e"])
   ultimately show "compact {x. infdist x A \<le> e}"
     by (simp add: compact_eq_bounded_closed)
 qed
 
 
 subsection \<open>Separation between Points and Sets\<close>
 
 proposition separate_point_closed:
   fixes s :: "'a::heine_borel set"
   assumes "closed s" and "a \<notin> s"
   shows "\<exists>d>0. \<forall>x\<in>s. d \<le> dist a x"
 proof (cases "s = {}")
   case True
   then show ?thesis by(auto intro!: exI[where x=1])
 next
   case False
   from assms obtain x where "x\<in>s" "\<forall>y\<in>s. dist a x \<le> dist a y"
     using \<open>s \<noteq> {}\<close> by (blast intro: distance_attains_inf [of s a])
   with \<open>x\<in>s\<close> show ?thesis using dist_pos_lt[of a x] and\<open>a \<notin> s\<close>
     by blast
 qed
 
 proposition separate_compact_closed:
   fixes s t :: "'a::heine_borel set"
   assumes "compact s"
     and t: "closed t" "s \<inter> t = {}"
   shows "\<exists>d>0. \<forall>x\<in>s. \<forall>y\<in>t. d \<le> dist x y"
 proof cases
   assume "s \<noteq> {} \<and> t \<noteq> {}"
   then have "s \<noteq> {}" "t \<noteq> {}" by auto
   let ?inf = "\<lambda>x. infdist x t"
   have "continuous_on s ?inf"
     by (auto intro!: continuous_at_imp_continuous_on continuous_infdist continuous_ident)
   then obtain x where x: "x \<in> s" "\<forall>y\<in>s. ?inf x \<le> ?inf y"
     using continuous_attains_inf[OF \<open>compact s\<close> \<open>s \<noteq> {}\<close>] by auto
   then have "0 < ?inf x"
     using t \<open>t \<noteq> {}\<close> in_closed_iff_infdist_zero by (auto simp: less_le infdist_nonneg)
   moreover have "\<forall>x'\<in>s. \<forall>y\<in>t. ?inf x \<le> dist x' y"
     using x by (auto intro: order_trans infdist_le)
   ultimately show ?thesis by auto
 qed (auto intro!: exI[of _ 1])
 
 proposition separate_closed_compact:
   fixes s t :: "'a::heine_borel set"
   assumes "closed s"
     and "compact t"
     and "s \<inter> t = {}"
   shows "\<exists>d>0. \<forall>x\<in>s. \<forall>y\<in>t. d \<le> dist x y"
 proof -
   have *: "t \<inter> s = {}"
     using assms(3) by auto
   show ?thesis
     using separate_compact_closed[OF assms(2,1) *] by (force simp: dist_commute)
 qed
 
 proposition compact_in_open_separated:
   fixes A::"'a::heine_borel set"
   assumes "A \<noteq> {}"
   assumes "compact A"
   assumes "open B"
   assumes "A \<subseteq> B"
   obtains e where "e > 0" "{x. infdist x A \<le> e} \<subseteq> B"
 proof atomize_elim
   have "closed (- B)" "compact A" "- B \<inter> A = {}"
     using assms by (auto simp: open_Diff compact_eq_bounded_closed)
   from separate_closed_compact[OF this]
   obtain d'::real where d': "d'>0" "\<And>x y. x \<notin> B \<Longrightarrow> y \<in> A \<Longrightarrow> d' \<le> dist x y"
     by auto
   define d where "d = d' / 2"
   hence "d>0" "d < d'" using d' by auto
   with d' have d: "\<And>x y. x \<notin> B \<Longrightarrow> y \<in> A \<Longrightarrow> d < dist x y"
     by force
   show "\<exists>e>0. {x. infdist x A \<le> e} \<subseteq> B"
   proof (rule ccontr)
     assume "\<nexists>e. 0 < e \<and> {x. infdist x A \<le> e} \<subseteq> B"
     with \<open>d > 0\<close> obtain x where x: "infdist x A \<le> d" "x \<notin> B"
       by auto
     from assms have "closed A" "A \<noteq> {}" by (auto simp: compact_eq_bounded_closed)
     from infdist_attains_inf[OF this]
     obtain y where y: "y \<in> A" "infdist x A = dist x y"
       by auto
     have "dist x y \<le> d" using x y by simp
     also have "\<dots> < dist x y" using y d x by auto
     finally show False by simp
   qed
 qed
 
 
 subsection \<open>Uniform Continuity\<close>
 
 lemma uniformly_continuous_onE:
   assumes "uniformly_continuous_on s f" "0 < e"
   obtains d where "d>0" "\<And>x x'. \<lbrakk>x\<in>s; x'\<in>s; dist x' x < d\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e"
 using assms
 by (auto simp: uniformly_continuous_on_def)
 
 lemma uniformly_continuous_on_sequentially:
   "uniformly_continuous_on s f \<longleftrightarrow> (\<forall>x y. (\<forall>n. x n \<in> s) \<and> (\<forall>n. y n \<in> s) \<and>
     (\<lambda>n. dist (x n) (y n)) \<longlonglongrightarrow> 0 \<longrightarrow> (\<lambda>n. dist (f(x n)) (f(y n))) \<longlonglongrightarrow> 0)" (is "?lhs = ?rhs")
 proof
   assume ?lhs
   {
     fix x y
     assume x: "\<forall>n. x n \<in> s"
       and y: "\<forall>n. y n \<in> s"
       and xy: "((\<lambda>n. dist (x n) (y n)) \<longlongrightarrow> 0) sequentially"
     {
       fix e :: real
       assume "e > 0"
       then obtain d where "d > 0" and d: "\<forall>x\<in>s. \<forall>x'\<in>s. dist x' x < d \<longrightarrow> dist (f x') (f x) < e"
         using \<open>?lhs\<close>[unfolded uniformly_continuous_on_def, THEN spec[where x=e]] by auto
       obtain N where N: "\<forall>n\<ge>N. dist (x n) (y n) < d"
         using xy[unfolded lim_sequentially dist_norm] and \<open>d>0\<close> by auto
       {
         fix n
         assume "n\<ge>N"
         then have "dist (f (x n)) (f (y n)) < e"
           using N[THEN spec[where x=n]]
           using d[THEN bspec[where x="x n"], THEN bspec[where x="y n"]]
           using x and y
           by (simp add: dist_commute)
       }
       then have "\<exists>N. \<forall>n\<ge>N. dist (f (x n)) (f (y n)) < e"
         by auto
     }
     then have "((\<lambda>n. dist (f(x n)) (f(y n))) \<longlongrightarrow> 0) sequentially"
       unfolding lim_sequentially and dist_real_def by auto
   }
   then show ?rhs by auto
 next
   assume ?rhs
   {
     assume "\<not> ?lhs"
     then obtain e where "e > 0" "\<forall>d>0. \<exists>x\<in>s. \<exists>x'\<in>s. dist x' x < d \<and> \<not> dist (f x') (f x) < e"
       unfolding uniformly_continuous_on_def by auto
     then obtain fa where fa:
       "\<forall>x. 0 < x \<longrightarrow> fst (fa x) \<in> s \<and> snd (fa x) \<in> s \<and> dist (fst (fa x)) (snd (fa x)) < x \<and> \<not> dist (f (fst (fa x))) (f (snd (fa x))) < e"
       using choice[of "\<lambda>d x. d>0 \<longrightarrow> fst x \<in> s \<and> snd x \<in> s \<and> dist (snd x) (fst x) < d \<and> \<not> dist (f (snd x)) (f (fst x)) < e"]
       unfolding Bex_def
       by (auto simp: dist_commute)
     define x where "x n = fst (fa (inverse (real n + 1)))" for n
     define y where "y n = snd (fa (inverse (real n + 1)))" for n
     have xyn: "\<forall>n. x n \<in> s \<and> y n \<in> s"
       and xy0: "\<forall>n. dist (x n) (y n) < inverse (real n + 1)"
       and fxy:"\<forall>n. \<not> dist (f (x n)) (f (y n)) < e"
       unfolding x_def and y_def using fa
       by auto
     {
       fix e :: real
       assume "e > 0"
       then obtain N :: nat where "N \<noteq> 0" and N: "0 < inverse (real N) \<and> inverse (real N) < e"
         unfolding real_arch_inverse[of e] by auto
       {
         fix n :: nat
         assume "n \<ge> N"
         then have "inverse (real n + 1) < inverse (real N)"
           using of_nat_0_le_iff and \<open>N\<noteq>0\<close> by auto
         also have "\<dots> < e" using N by auto
         finally have "inverse (real n + 1) < e" by auto
         then have "dist (x n) (y n) < e"
           using xy0[THEN spec[where x=n]] by auto
       }
       then have "\<exists>N. \<forall>n\<ge>N. dist (x n) (y n) < e" by auto
     }
     then have "\<forall>e>0. \<exists>N. \<forall>n\<ge>N. dist (f (x n)) (f (y n)) < e"
       using \<open>?rhs\<close>[THEN spec[where x=x], THEN spec[where x=y]] and xyn
       unfolding lim_sequentially dist_real_def by auto
     then have False using fxy and \<open>e>0\<close> by auto
   }
   then show ?lhs
     unfolding uniformly_continuous_on_def by blast
 qed
 
 
 subsection \<open>Continuity on a Compact Domain Implies Uniform Continuity\<close>
 
 text\<open>From the proof of the Heine-Borel theorem: Lemma 2 in section 3.7, page 69 of
 J. C. Burkill and H. Burkill. A Second Course in Mathematical Analysis (CUP, 2002)\<close>
 
 lemma Heine_Borel_lemma:
   assumes "compact S" and Ssub: "S \<subseteq> \<Union>\<G>" and opn: "\<And>G. G \<in> \<G> \<Longrightarrow> open G"
   obtains e where "0 < e" "\<And>x. x \<in> S \<Longrightarrow> \<exists>G \<in> \<G>. ball x e \<subseteq> G"
 proof -
   have False if neg: "\<And>e. 0 < e \<Longrightarrow> \<exists>x \<in> S. \<forall>G \<in> \<G>. \<not> ball x e \<subseteq> G"
   proof -
     have "\<exists>x \<in> S. \<forall>G \<in> \<G>. \<not> ball x (1 / Suc n) \<subseteq> G" for n
       using neg by simp
     then obtain f where "\<And>n. f n \<in> S" and fG: "\<And>G n. G \<in> \<G> \<Longrightarrow> \<not> ball (f n) (1 / Suc n) \<subseteq> G"
       by metis
     then obtain l r where "l \<in> S" "strict_mono r" and to_l: "(f \<circ> r) \<longlonglongrightarrow> l"
       using \<open>compact S\<close> compact_def that by metis
     then obtain G where "l \<in> G" "G \<in> \<G>"
       using Ssub by auto
     then obtain e where "0 < e" and e: "\<And>z. dist z l < e \<Longrightarrow> z \<in> G"
       using opn open_dist by blast
     obtain N1 where N1: "\<And>n. n \<ge> N1 \<Longrightarrow> dist (f (r n)) l < e/2"
       using to_l apply (simp add: lim_sequentially)
       using \<open>0 < e\<close> half_gt_zero that by blast
     obtain N2 where N2: "of_nat N2 > 2/e"
       using reals_Archimedean2 by blast
     obtain x where "x \<in> ball (f (r (max N1 N2))) (1 / real (Suc (r (max N1 N2))))" and "x \<notin> G"
       using fG [OF \<open>G \<in> \<G>\<close>, of "r (max N1 N2)"] by blast
     then have "dist (f (r (max N1 N2))) x < 1 / real (Suc (r (max N1 N2)))"
       by simp
     also have "... \<le> 1 / real (Suc (max N1 N2))"
       apply (simp add: field_split_simps del: max.bounded_iff)
       using \<open>strict_mono r\<close> seq_suble by blast
     also have "... \<le> 1 / real (Suc N2)"
       by (simp add: field_simps)
     also have "... < e/2"
       using N2 \<open>0 < e\<close> by (simp add: field_simps)
     finally have "dist (f (r (max N1 N2))) x < e / 2" .
     moreover have "dist (f (r (max N1 N2))) l < e/2"
       using N1 max.cobounded1 by blast
     ultimately have "dist x l < e"
       by metric
     then show ?thesis
       using e \<open>x \<notin> G\<close> by blast
   qed
   then show ?thesis
     by (meson that)
 qed
 
 lemma compact_uniformly_equicontinuous:
   assumes "compact S"
       and cont: "\<And>x e. \<lbrakk>x \<in> S; 0 < e\<rbrakk>
                         \<Longrightarrow> \<exists>d. 0 < d \<and>
                                 (\<forall>f \<in> \<F>. \<forall>x' \<in> S. dist x' x < d \<longrightarrow> dist (f x') (f x) < e)"
       and "0 < e"
   obtains d where "0 < d"
                   "\<And>f x x'. \<lbrakk>f \<in> \<F>; x \<in> S; x' \<in> S; dist x' x < d\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e"
 proof -
   obtain d where d_pos: "\<And>x e. \<lbrakk>x \<in> S; 0 < e\<rbrakk> \<Longrightarrow> 0 < d x e"
      and d_dist : "\<And>x x' e f. \<lbrakk>dist x' x < d x e; x \<in> S; x' \<in> S; 0 < e; f \<in> \<F>\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e"
     using cont by metis
   let ?\<G> = "((\<lambda>x. ball x (d x (e / 2))) ` S)"
   have Ssub: "S \<subseteq> \<Union> ?\<G>"
     by clarsimp (metis d_pos \<open>0 < e\<close> dist_self half_gt_zero_iff)
   then obtain k where "0 < k" and k: "\<And>x. x \<in> S \<Longrightarrow> \<exists>G \<in> ?\<G>. ball x k \<subseteq> G"
     by (rule Heine_Borel_lemma [OF \<open>compact S\<close>]) auto
   moreover have "dist (f v) (f u) < e" if "f \<in> \<F>" "u \<in> S" "v \<in> S" "dist v u < k" for f u v
   proof -
     obtain G where "G \<in> ?\<G>" "u \<in> G" "v \<in> G"
       using k that
       by (metis \<open>dist v u < k\<close> \<open>u \<in> S\<close> \<open>0 < k\<close> centre_in_ball subsetD dist_commute mem_ball)
     then obtain w where w: "dist w u < d w (e / 2)" "dist w v < d w (e / 2)" "w \<in> S"
       by auto
     with that d_dist have "dist (f w) (f v) < e/2"
       by (metis \<open>0 < e\<close> dist_commute half_gt_zero)
     moreover
     have "dist (f w) (f u) < e/2"
       using that d_dist w by (metis \<open>0 < e\<close> dist_commute divide_pos_pos zero_less_numeral)
     ultimately show ?thesis
       using dist_triangle_half_r by blast
   qed
   ultimately show ?thesis using that by blast
 qed
 
 corollary compact_uniformly_continuous:
   fixes f :: "'a :: metric_space \<Rightarrow> 'b :: metric_space"
   assumes f: "continuous_on S f" and S: "compact S"
   shows "uniformly_continuous_on S f"
   using f
     unfolding continuous_on_iff uniformly_continuous_on_def
     by (force intro: compact_uniformly_equicontinuous [OF S, of "{f}"])
 
 
 subsection\<^marker>\<open>tag unimportant\<close>\<open> Theorems relating continuity and uniform continuity to closures\<close>
 
 lemma continuous_on_closure:
    "continuous_on (closure S) f \<longleftrightarrow>
     (\<forall>x e. x \<in> closure S \<and> 0 < e
            \<longrightarrow> (\<exists>d. 0 < d \<and> (\<forall>y. y \<in> S \<and> dist y x < d \<longrightarrow> dist (f y) (f x) < e)))"
    (is "?lhs = ?rhs")
 proof
   assume ?lhs then show ?rhs
     unfolding continuous_on_iff  by (metis Un_iff closure_def)
 next
   assume R [rule_format]: ?rhs
   show ?lhs
   proof
     fix x and e::real
     assume "0 < e" and x: "x \<in> closure S"
     obtain \<delta>::real where "\<delta> > 0"
                    and \<delta>: "\<And>y. \<lbrakk>y \<in> S; dist y x < \<delta>\<rbrakk> \<Longrightarrow> dist (f y) (f x) < e/2"
       using R [of x "e/2"] \<open>0 < e\<close> x by auto
     have "dist (f y) (f x) \<le> e" if y: "y \<in> closure S" and dyx: "dist y x < \<delta>/2" for y
     proof -
       obtain \<delta>'::real where "\<delta>' > 0"
                       and \<delta>': "\<And>z. \<lbrakk>z \<in> S; dist z y < \<delta>'\<rbrakk> \<Longrightarrow> dist (f z) (f y) < e/2"
         using R [of y "e/2"] \<open>0 < e\<close> y by auto
       obtain z where "z \<in> S" and z: "dist z y < min \<delta>' \<delta> / 2"
         using closure_approachable y
         by (metis \<open>0 < \<delta>'\<close> \<open>0 < \<delta>\<close> divide_pos_pos min_less_iff_conj zero_less_numeral)
       have "dist (f z) (f y) < e/2"
         using \<delta>' [OF \<open>z \<in> S\<close>] z \<open>0 < \<delta>'\<close> by metric
       moreover have "dist (f z) (f x) < e/2"
         using \<delta>[OF \<open>z \<in> S\<close>] z dyx by metric
       ultimately show ?thesis
         by metric
     qed
     then show "\<exists>d>0. \<forall>x'\<in>closure S. dist x' x < d \<longrightarrow> dist (f x') (f x) \<le> e"
       by (rule_tac x="\<delta>/2" in exI) (simp add: \<open>\<delta> > 0\<close>)
   qed
 qed
 
 lemma continuous_on_closure_sequentially:
   fixes f :: "'a::metric_space \<Rightarrow> 'b :: metric_space"
   shows
    "continuous_on (closure S) f \<longleftrightarrow>
     (\<forall>x a. a \<in> closure S \<and> (\<forall>n. x n \<in> S) \<and> x \<longlonglongrightarrow> a \<longrightarrow> (f \<circ> x) \<longlonglongrightarrow> f a)"
    (is "?lhs = ?rhs")
 proof -
   have "continuous_on (closure S) f \<longleftrightarrow>
            (\<forall>x \<in> closure S. continuous (at x within S) f)"
     by (force simp: continuous_on_closure continuous_within_eps_delta)
   also have "... = ?rhs"
     by (force simp: continuous_within_sequentially)
   finally show ?thesis .
 qed
 
 lemma uniformly_continuous_on_closure:
   fixes f :: "'a::metric_space \<Rightarrow> 'b::metric_space"
   assumes ucont: "uniformly_continuous_on S f"
       and cont: "continuous_on (closure S) f"
     shows "uniformly_continuous_on (closure S) f"
 unfolding uniformly_continuous_on_def
 proof (intro allI impI)
   fix e::real
   assume "0 < e"
   then obtain d::real
     where "d>0"
       and d: "\<And>x x'. \<lbrakk>x\<in>S; x'\<in>S; dist x' x < d\<rbrakk> \<Longrightarrow> dist (f x') (f x) < e/3"
     using ucont [unfolded uniformly_continuous_on_def, rule_format, of "e/3"] by auto
   show "\<exists>d>0. \<forall>x\<in>closure S. \<forall>x'\<in>closure S. dist x' x < d \<longrightarrow> dist (f x') (f x) < e"
   proof (rule exI [where x="d/3"], clarsimp simp: \<open>d > 0\<close>)
     fix x y
     assume x: "x \<in> closure S" and y: "y \<in> closure S" and dyx: "dist y x * 3 < d"
     obtain d1::real where "d1 > 0"
            and d1: "\<And>w. \<lbrakk>w \<in> closure S; dist w x < d1\<rbrakk> \<Longrightarrow> dist (f w) (f x) < e/3"
       using cont [unfolded continuous_on_iff, rule_format, of "x" "e/3"] \<open>0 < e\<close> x by auto
      obtain x' where "x' \<in> S" and x': "dist x' x < min d1 (d / 3)"
         using closure_approachable [of x S]
         by (metis \<open>0 < d1\<close> \<open>0 < d\<close> divide_pos_pos min_less_iff_conj x zero_less_numeral)
     obtain d2::real where "d2 > 0"
            and d2: "\<forall>w \<in> closure S. dist w y < d2 \<longrightarrow> dist (f w) (f y) < e/3"
       using cont [unfolded continuous_on_iff, rule_format, of "y" "e/3"] \<open>0 < e\<close> y by auto
     obtain y' where "y' \<in> S" and y': "dist y' y < min d2 (d / 3)"
       using closure_approachable [of y S]
       by (metis \<open>0 < d2\<close> \<open>0 < d\<close> divide_pos_pos min_less_iff_conj y zero_less_numeral)
     have "dist x' x < d/3" using x' by auto
     then have "dist x' y' < d"
       using dyx y' by metric
     then have "dist (f x') (f y') < e/3"
       by (rule d [OF \<open>y' \<in> S\<close> \<open>x' \<in> S\<close>])
     moreover have "dist (f x') (f x) < e/3" using \<open>x' \<in> S\<close> closure_subset x' d1
       by (simp add: closure_def)
     moreover have "dist (f y') (f y) < e/3" using \<open>y' \<in> S\<close> closure_subset y' d2
       by (simp add: closure_def)
     ultimately show "dist (f y) (f x) < e" by metric
   qed
 qed
 
 lemma uniformly_continuous_on_extension_at_closure:
   fixes f::"'a::metric_space \<Rightarrow> 'b::complete_space"
   assumes uc: "uniformly_continuous_on X f"
   assumes "x \<in> closure X"
   obtains l where "(f \<longlongrightarrow> l) (at x within X)"
 proof -
   from assms obtain xs where xs: "xs \<longlonglongrightarrow> x" "\<And>n. xs n \<in> X"
     by (auto simp: closure_sequential)
 
   from uniformly_continuous_on_Cauchy[OF uc LIMSEQ_imp_Cauchy, OF xs]
   obtain l where l: "(\<lambda>n. f (xs n)) \<longlonglongrightarrow> l"
     by atomize_elim (simp only: convergent_eq_Cauchy)
 
   have "(f \<longlongrightarrow> l) (at x within X)"
   proof (safe intro!: Lim_within_LIMSEQ)
     fix xs'
     assume "\<forall>n. xs' n \<noteq> x \<and> xs' n \<in> X"
       and xs': "xs' \<longlonglongrightarrow> x"
     then have "xs' n \<noteq> x" "xs' n \<in> X" for n by auto
 
     from uniformly_continuous_on_Cauchy[OF uc LIMSEQ_imp_Cauchy, OF \<open>xs' \<longlonglongrightarrow> x\<close> \<open>xs' _ \<in> X\<close>]
     obtain l' where l': "(\<lambda>n. f (xs' n)) \<longlonglongrightarrow> l'"
       by atomize_elim (simp only: convergent_eq_Cauchy)
 
     show "(\<lambda>n. f (xs' n)) \<longlonglongrightarrow> l"
     proof (rule tendstoI)
       fix e::real assume "e > 0"
       define e' where "e' \<equiv> e / 2"
       have "e' > 0" using \<open>e > 0\<close> by (simp add: e'_def)
 
       have "\<forall>\<^sub>F n in sequentially. dist (f (xs n)) l < e'"
         by (simp add: \<open>0 < e'\<close> l tendstoD)
       moreover
       from uc[unfolded uniformly_continuous_on_def, rule_format, OF \<open>e' > 0\<close>]
       obtain d where d: "d > 0" "\<And>x x'. x \<in> X \<Longrightarrow> x' \<in> X \<Longrightarrow> dist x x' < d \<Longrightarrow> dist (f x) (f x') < e'"
         by auto
       have "\<forall>\<^sub>F n in sequentially. dist (xs n) (xs' n) < d"
         by (auto intro!: \<open>0 < d\<close> order_tendstoD tendsto_eq_intros xs xs')
       ultimately
       show "\<forall>\<^sub>F n in sequentially. dist (f (xs' n)) l < e"
       proof eventually_elim
         case (elim n)
         have "dist (f (xs' n)) l \<le> dist (f (xs n)) (f (xs' n)) + dist (f (xs n)) l"
           by metric
         also have "dist (f (xs n)) (f (xs' n)) < e'"
           by (auto intro!: d xs \<open>xs' _ \<in> _\<close> elim)
         also note \<open>dist (f (xs n)) l < e'\<close>
         also have "e' + e' = e" by (simp add: e'_def)
         finally show ?case by simp
       qed
     qed
   qed
   thus ?thesis ..
 qed
 
 lemma uniformly_continuous_on_extension_on_closure:
   fixes f::"'a::metric_space \<Rightarrow> 'b::complete_space"
   assumes uc: "uniformly_continuous_on X f"
   obtains g where "uniformly_continuous_on (closure X) g" "\<And>x. x \<in> X \<Longrightarrow> f x = g x"
     "\<And>Y h x. X \<subseteq> Y \<Longrightarrow> Y \<subseteq> closure X \<Longrightarrow> continuous_on Y h \<Longrightarrow> (\<And>x. x \<in> X \<Longrightarrow> f x = h x) \<Longrightarrow> x \<in> Y \<Longrightarrow> h x = g x"
 proof -
   from uc have cont_f: "continuous_on X f"
     by (simp add: uniformly_continuous_imp_continuous)
   obtain y where y: "(f \<longlongrightarrow> y x) (at x within X)" if "x \<in> closure X" for x
     apply atomize_elim
     apply (rule choice)
     using uniformly_continuous_on_extension_at_closure[OF assms]
     by metis
   let ?g = "\<lambda>x. if x \<in> X then f x else y x"
 
   have "uniformly_continuous_on (closure X) ?g"
     unfolding uniformly_continuous_on_def
   proof safe
     fix e::real assume "e > 0"
     define e' where "e' \<equiv> e / 3"
     have "e' > 0" using \<open>e > 0\<close> by (simp add: e'_def)
     from uc[unfolded uniformly_continuous_on_def, rule_format, OF \<open>0 < e'\<close>]
     obtain d where "d > 0" and d: "\<And>x x'. x \<in> X \<Longrightarrow> x' \<in> X \<Longrightarrow> dist x' x < d \<Longrightarrow> dist (f x') (f x) < e'"
       by auto
     define d' where "d' = d / 3"
     have "d' > 0" using \<open>d > 0\<close> by (simp add: d'_def)
     show "\<exists>d>0. \<forall>x\<in>closure X. \<forall>x'\<in>closure X. dist x' x < d \<longrightarrow> dist (?g x') (?g x) < e"
     proof (safe intro!: exI[where x=d'] \<open>d' > 0\<close>)
       fix x x' assume x: "x \<in> closure X" and x': "x' \<in> closure X" and dist: "dist x' x < d'"
       then obtain xs xs' where xs: "xs \<longlonglongrightarrow> x" "\<And>n. xs n \<in> X"
         and xs': "xs' \<longlonglongrightarrow> x'" "\<And>n. xs' n \<in> X"
         by (auto simp: closure_sequential)
       have "\<forall>\<^sub>F n in sequentially. dist (xs' n) x' < d'"
         and "\<forall>\<^sub>F n in sequentially. dist (xs n) x < d'"
         by (auto intro!: \<open>0 < d'\<close> order_tendstoD tendsto_eq_intros xs xs')
       moreover
       have "(\<lambda>x. f (xs x)) \<longlonglongrightarrow> y x" if "x \<in> closure X" "x \<notin> X" "xs \<longlonglongrightarrow> x" "\<And>n. xs n \<in> X" for xs x
         using that not_eventuallyD
         by (force intro!: filterlim_compose[OF y[OF \<open>x \<in> closure X\<close>]] simp: filterlim_at)
       then have "(\<lambda>x. f (xs' x)) \<longlonglongrightarrow> ?g x'" "(\<lambda>x. f (xs x)) \<longlonglongrightarrow> ?g x"
         using x x'
         by (auto intro!: continuous_on_tendsto_compose[OF cont_f] simp: xs' xs)
       then have "\<forall>\<^sub>F n in sequentially. dist (f (xs' n)) (?g x') < e'"
         "\<forall>\<^sub>F n in sequentially. dist (f (xs n)) (?g x) < e'"
         by (auto intro!: \<open>0 < e'\<close> order_tendstoD tendsto_eq_intros)
       ultimately
       have "\<forall>\<^sub>F n in sequentially. dist (?g x') (?g x) < e"
       proof eventually_elim
         case (elim n)
         have "dist (?g x') (?g x) \<le>
           dist (f (xs' n)) (?g x') + dist (f (xs' n)) (f (xs n)) + dist (f (xs n)) (?g x)"
           by (metis add.commute add_le_cancel_left dist_commute dist_triangle dist_triangle_le)
         also
         from \<open>dist (xs' n) x' < d'\<close> \<open>dist x' x < d'\<close> \<open>dist (xs n) x < d'\<close>
         have "dist (xs' n) (xs n) < d" unfolding d'_def by metric
         with \<open>xs _ \<in> X\<close> \<open>xs' _ \<in> X\<close> have "dist (f (xs' n)) (f (xs n)) < e'"
           by (rule d)
         also note \<open>dist (f (xs' n)) (?g x') < e'\<close>
         also note \<open>dist (f (xs n)) (?g x) < e'\<close>
         finally show ?case by (simp add: e'_def)
       qed
       then show "dist (?g x') (?g x) < e" by simp
     qed
   qed
   moreover have "f x = ?g x" if "x \<in> X" for x using that by simp
   moreover
   {
     fix Y h x
     assume Y: "x \<in> Y" "X \<subseteq> Y" "Y \<subseteq> closure X" and cont_h: "continuous_on Y h"
       and extension: "(\<And>x. x \<in> X \<Longrightarrow> f x = h x)"
     {
       assume "x \<notin> X"
       have "x \<in> closure X" using Y by auto
       then obtain xs where xs: "xs \<longlonglongrightarrow> x" "\<And>n. xs n \<in> X"
         by (auto simp: closure_sequential)
       from continuous_on_tendsto_compose[OF cont_h xs(1)] xs(2) Y
       have hx: "(\<lambda>x. f (xs x)) \<longlonglongrightarrow> h x"
         by (auto simp: subsetD extension)
       then have "(\<lambda>x. f (xs x)) \<longlonglongrightarrow> y x"
         using \<open>x \<notin> X\<close> not_eventuallyD xs(2)
         by (force intro!: filterlim_compose[OF y[OF \<open>x \<in> closure X\<close>]] simp: filterlim_at xs)
       with hx have "h x = y x" by (rule LIMSEQ_unique)
     } then
     have "h x = ?g x"
       using extension by auto
   }
   ultimately show ?thesis ..
 qed
 
 lemma bounded_uniformly_continuous_image:
   fixes f :: "'a :: heine_borel \<Rightarrow> 'b :: heine_borel"
   assumes "uniformly_continuous_on S f" "bounded S"
   shows "bounded(f ` S)"
   by (metis (no_types, lifting) assms bounded_closure_image compact_closure compact_continuous_image compact_eq_bounded_closed image_cong uniformly_continuous_imp_continuous uniformly_continuous_on_extension_on_closure)
 
 
 subsection \<open>With Abstract Topology (TODO: move and remove dependency?)\<close>
 
 lemma openin_contains_ball:
     "openin (top_of_set t) s \<longleftrightarrow>
      s \<subseteq> t \<and> (\<forall>x \<in> s. \<exists>e. 0 < e \<and> ball x e \<inter> t \<subseteq> s)"
     (is "?lhs = ?rhs")
 proof
   assume ?lhs
   then show ?rhs
     apply (simp add: openin_open)
     apply (metis Int_commute Int_mono inf.cobounded2 open_contains_ball order_refl subsetCE)
     done
 next
   assume ?rhs
   then show ?lhs
     apply (simp add: openin_euclidean_subtopology_iff)
     by (metis (no_types) Int_iff dist_commute inf.absorb_iff2 mem_ball)
 qed
 
 lemma openin_contains_cball:
    "openin (top_of_set t) s \<longleftrightarrow>
         s \<subseteq> t \<and>
         (\<forall>x \<in> s. \<exists>e. 0 < e \<and> cball x e \<inter> t \<subseteq> s)"
   apply (simp add: openin_contains_ball)
   apply (rule iffI)
    apply (auto dest!: bspec)
    apply (rule_tac x="e/2" in exI, force+)
   done
 
 
 subsection \<open>Closed Nest\<close>
 
 text \<open>Bounded closed nest property (proof does not use Heine-Borel)\<close>
 
 lemma bounded_closed_nest:
   fixes S :: "nat \<Rightarrow> ('a::heine_borel) set"
   assumes "\<And>n. closed (S n)"
       and "\<And>n. S n \<noteq> {}"
       and "\<And>m n. m \<le> n \<Longrightarrow> S n \<subseteq> S m"
       and "bounded (S 0)"
   obtains a where "\<And>n. a \<in> S n"
 proof -
   from assms(2) obtain x where x: "\<forall>n. x n \<in> S n"
     using choice[of "\<lambda>n x. x \<in> S n"] by auto
   from assms(4,1) have "seq_compact (S 0)"
     by (simp add: bounded_closed_imp_seq_compact)
   then obtain l r where lr: "l \<in> S 0" "strict_mono r" "(x \<circ> r) \<longlonglongrightarrow> l"
     using x and assms(3) unfolding seq_compact_def by blast
   have "\<forall>n. l \<in> S n"
   proof
     fix n :: nat
     have "closed (S n)"
       using assms(1) by simp
     moreover have "\<forall>i. (x \<circ> r) i \<in> S i"
       using x and assms(3) and lr(2) [THEN seq_suble] by auto
     then have "\<forall>i. (x \<circ> r) (i + n) \<in> S n"
       using assms(3) by (fast intro!: le_add2)
     moreover have "(\<lambda>i. (x \<circ> r) (i + n)) \<longlonglongrightarrow> l"
       using lr(3) by (rule LIMSEQ_ignore_initial_segment)
     ultimately show "l \<in> S n"
       by (rule closed_sequentially)
   qed
   then show ?thesis 
     using that by blast
 qed
 
 text \<open>Decreasing case does not even need compactness, just completeness.\<close>
 
 lemma decreasing_closed_nest:
   fixes S :: "nat \<Rightarrow> ('a::complete_space) set"
   assumes "\<And>n. closed (S n)"
           "\<And>n. S n \<noteq> {}"
           "\<And>m n. m \<le> n \<Longrightarrow> S n \<subseteq> S m"
           "\<And>e. e>0 \<Longrightarrow> \<exists>n. \<forall>x\<in>S n. \<forall>y\<in>S n. dist x y < e"
   obtains a where "\<And>n. a \<in> S n"
 proof -
   have "\<forall>n. \<exists>x. x \<in> S n"
     using assms(2) by auto
   then have "\<exists>t. \<forall>n. t n \<in> S n"
     using choice[of "\<lambda>n x. x \<in> S n"] by auto
   then obtain t where t: "\<forall>n. t n \<in> S n" by auto
   {
     fix e :: real
     assume "e > 0"
     then obtain N where N: "\<forall>x\<in>S N. \<forall>y\<in>S N. dist x y < e"
       using assms(4) by blast
     {
       fix m n :: nat
       assume "N \<le> m \<and> N \<le> n"
       then have "t m \<in> S N" "t n \<in> S N"
         using assms(3) t unfolding  subset_eq t by blast+
       then have "dist (t m) (t n) < e"
         using N by auto
     }
     then have "\<exists>N. \<forall>m n. N \<le> m \<and> N \<le> n \<longrightarrow> dist (t m) (t n) < e"
       by auto
   }
   then have "Cauchy t"
     unfolding cauchy_def by auto
   then obtain l where l:"(t \<longlongrightarrow> l) sequentially"
     using complete_UNIV unfolding complete_def by auto
   { fix n :: nat
     { fix e :: real
       assume "e > 0"
       then obtain N :: nat where N: "\<forall>n\<ge>N. dist (t n) l < e"
         using l[unfolded lim_sequentially] by auto
       have "t (max n N) \<in> S n"
         by (meson assms(3) contra_subsetD max.cobounded1 t)
       then have "\<exists>y\<in>S n. dist y l < e"
         using N max.cobounded2 by blast
     }
     then have "l \<in> S n"
       using closed_approachable[of "S n" l] assms(1) by auto
   }
   then show ?thesis
     using that by blast
 qed
 
 text \<open>Strengthen it to the intersection actually being a singleton.\<close>
 
 lemma decreasing_closed_nest_sing:
   fixes S :: "nat \<Rightarrow> 'a::complete_space set"
   assumes "\<And>n. closed(S n)"
           "\<And>n. S n \<noteq> {}"
           "\<And>m n. m \<le> n \<Longrightarrow> S n \<subseteq> S m"
           "\<And>e. e>0 \<Longrightarrow> \<exists>n. \<forall>x \<in> (S n). \<forall> y\<in>(S n). dist x y < e"
   shows "\<exists>a. \<Inter>(range S) = {a}"
 proof -
   obtain a where a: "\<forall>n. a \<in> S n"
     using decreasing_closed_nest[of S] using assms by auto
   { fix b
     assume b: "b \<in> \<Inter>(range S)"
     { fix e :: real
       assume "e > 0"
       then have "dist a b < e"
         using assms(4) and b and a by blast
     }
     then have "dist a b = 0"
       by (metis dist_eq_0_iff dist_nz less_le)
   }
   with a have "\<Inter>(range S) = {a}"
     unfolding image_def by auto
   then show ?thesis ..
 qed
 
 subsection\<^marker>\<open>tag unimportant\<close> \<open>Making a continuous function avoid some value in a neighbourhood\<close>
 
 lemma continuous_within_avoid:
   fixes f :: "'a::metric_space \<Rightarrow> 'b::t1_space"
   assumes "continuous (at x within s) f"
     and "f x \<noteq> a"
   shows "\<exists>e>0. \<forall>y \<in> s. dist x y < e --> f y \<noteq> a"
 proof -
   obtain U where "open U" and "f x \<in> U" and "a \<notin> U"
     using t1_space [OF \<open>f x \<noteq> a\<close>] by fast
   have "(f \<longlongrightarrow> f x) (at x within s)"
     using assms(1) by (simp add: continuous_within)
   then have "eventually (\<lambda>y. f y \<in> U) (at x within s)"
     using \<open>open U\<close> and \<open>f x \<in> U\<close>
     unfolding tendsto_def by fast
   then have "eventually (\<lambda>y. f y \<noteq> a) (at x within s)"
     using \<open>a \<notin> U\<close> by (fast elim: eventually_mono)
   then show ?thesis
     using \<open>f x \<noteq> a\<close> by (auto simp: dist_commute eventually_at)
 qed
 
 lemma continuous_at_avoid:
   fixes f :: "'a::metric_space \<Rightarrow> 'b::t1_space"
   assumes "continuous (at x) f"
     and "f x \<noteq> a"
   shows "\<exists>e>0. \<forall>y. dist x y < e \<longrightarrow> f y \<noteq> a"
   using assms continuous_within_avoid[of x UNIV f a] by simp
 
 lemma continuous_on_avoid:
   fixes f :: "'a::metric_space \<Rightarrow> 'b::t1_space"
   assumes "continuous_on s f"
     and "x \<in> s"
     and "f x \<noteq> a"
   shows "\<exists>e>0. \<forall>y \<in> s. dist x y < e \<longrightarrow> f y \<noteq> a"
   using assms(1)[unfolded continuous_on_eq_continuous_within, THEN bspec[where x=x],
     OF assms(2)] continuous_within_avoid[of x s f a]
   using assms(3)
   by auto
 
 lemma continuous_on_open_avoid:
   fixes f :: "'a::metric_space \<Rightarrow> 'b::t1_space"
   assumes "continuous_on s f"
     and "open s"
     and "x \<in> s"
     and "f x \<noteq> a"
   shows "\<exists>e>0. \<forall>y. dist x y < e \<longrightarrow> f y \<noteq> a"
   using assms(1)[unfolded continuous_on_eq_continuous_at[OF assms(2)], THEN bspec[where x=x], OF assms(3)]
   using continuous_at_avoid[of x f a] assms(4)
   by auto
 
 subsection \<open>Consequences for Real Numbers\<close>
 
 lemma closed_contains_Inf:
   fixes S :: "real set"
   shows "S \<noteq> {} \<Longrightarrow> bdd_below S \<Longrightarrow> closed S \<Longrightarrow> Inf S \<in> S"
   by (metis closure_contains_Inf closure_closed)
 
 lemma closed_subset_contains_Inf:
   fixes A C :: "real set"
   shows "closed C \<Longrightarrow> A \<subseteq> C \<Longrightarrow> A \<noteq> {} \<Longrightarrow> bdd_below A \<Longrightarrow> Inf A \<in> C"
   by (metis closure_contains_Inf closure_minimal subset_eq)
 
 lemma closed_contains_Sup:
   fixes S :: "real set"
   shows "S \<noteq> {} \<Longrightarrow> bdd_above S \<Longrightarrow> closed S \<Longrightarrow> Sup S \<in> S"
   by (subst closure_closed[symmetric], assumption, rule closure_contains_Sup)
 
 lemma closed_subset_contains_Sup:
   fixes A C :: "real set"
   shows "closed C \<Longrightarrow> A \<subseteq> C \<Longrightarrow> A \<noteq> {} \<Longrightarrow> bdd_above A \<Longrightarrow> Sup A \<in> C"
   by (metis closure_contains_Sup closure_minimal subset_eq)
 
 lemma atLeastAtMost_subset_contains_Inf:
   fixes A :: "real set" and a b :: real
   shows "A \<noteq> {} \<Longrightarrow> a \<le> b \<Longrightarrow> A \<subseteq> {a..b} \<Longrightarrow> Inf A \<in> {a..b}"
   by (rule closed_subset_contains_Inf)
      (auto intro: closed_real_atLeastAtMost intro!: bdd_belowI[of A a])
 
 lemma bounded_real: "bounded (S::real set) \<longleftrightarrow> (\<exists>a. \<forall>x\<in>S. \<bar>x\<bar> \<le> a)"
   by (simp add: bounded_iff)
 
 lemma bounded_imp_bdd_above: "bounded S \<Longrightarrow> bdd_above (S :: real set)"
   by (auto simp: bounded_def bdd_above_def dist_real_def)
      (metis abs_le_D1 abs_minus_commute diff_le_eq)
 
 lemma bounded_imp_bdd_below: "bounded S \<Longrightarrow> bdd_below (S :: real set)"
   by (auto simp: bounded_def bdd_below_def dist_real_def)
      (metis abs_le_D1 add.commute diff_le_eq)
 
 lemma bounded_has_Sup:
   fixes S :: "real set"
   assumes "bounded S"
     and "S \<noteq> {}"
   shows "\<forall>x\<in>S. x \<le> Sup S"
     and "\<forall>b. (\<forall>x\<in>S. x \<le> b) \<longrightarrow> Sup S \<le> b"
 proof
   show "\<forall>b. (\<forall>x\<in>S. x \<le> b) \<longrightarrow> Sup S \<le> b"
     using assms by (metis cSup_least)
 qed (metis cSup_upper assms(1) bounded_imp_bdd_above)
 
 lemma Sup_insert:
   fixes S :: "real set"
   shows "bounded S \<Longrightarrow> Sup (insert x S) = (if S = {} then x else max x (Sup S))"
   by (auto simp: bounded_imp_bdd_above sup_max cSup_insert_If)
 
 lemma bounded_has_Inf:
   fixes S :: "real set"
   assumes "bounded S"
     and "S \<noteq> {}"
   shows "\<forall>x\<in>S. x \<ge> Inf S"
     and "\<forall>b. (\<forall>x\<in>S. x \<ge> b) \<longrightarrow> Inf S \<ge> b"
 proof
   show "\<forall>b. (\<forall>x\<in>S. x \<ge> b) \<longrightarrow> Inf S \<ge> b"
     using assms by (metis cInf_greatest)
 qed (metis cInf_lower assms(1) bounded_imp_bdd_below)
 
 lemma Inf_insert:
   fixes S :: "real set"
   shows "bounded S \<Longrightarrow> Inf (insert x S) = (if S = {} then x else min x (Inf S))"
   by (auto simp: bounded_imp_bdd_below inf_min cInf_insert_If)
 
 lemma open_real:
   fixes s :: "real set"
   shows "open s \<longleftrightarrow> (\<forall>x \<in> s. \<exists>e>0. \<forall>x'. \<bar>x' - x\<bar> < e --> x' \<in> s)"
   unfolding open_dist dist_norm by simp
 
 lemma islimpt_approachable_real:
   fixes s :: "real set"
   shows "x islimpt s \<longleftrightarrow> (\<forall>e>0. \<exists>x'\<in> s. x' \<noteq> x \<and> \<bar>x' - x\<bar> < e)"
   unfolding islimpt_approachable dist_norm by simp
 
 lemma closed_real:
   fixes s :: "real set"
   shows "closed s \<longleftrightarrow> (\<forall>x. (\<forall>e>0.  \<exists>x' \<in> s. x' \<noteq> x \<and> \<bar>x' - x\<bar> < e) \<longrightarrow> x \<in> s)"
   unfolding closed_limpt islimpt_approachable dist_norm by simp
 
 lemma continuous_at_real_range:
   fixes f :: "'a::real_normed_vector \<Rightarrow> real"
   shows "continuous (at x) f \<longleftrightarrow> (\<forall>e>0. \<exists>d>0. \<forall>x'. norm(x' - x) < d --> \<bar>f x' - f x\<bar> < e)"
   unfolding continuous_at
   unfolding Lim_at
   unfolding dist_norm
   apply auto
   apply (erule_tac x=e in allE, auto)
   apply (rule_tac x=d in exI, auto)
   apply (erule_tac x=x' in allE, auto)
   apply (erule_tac x=e in allE, auto)
   done
 
 lemma continuous_on_real_range:
   fixes f :: "'a::real_normed_vector \<Rightarrow> real"
   shows "continuous_on s f \<longleftrightarrow>
     (\<forall>x \<in> s. \<forall>e>0. \<exists>d>0. (\<forall>x' \<in> s. norm(x' - x) < d \<longrightarrow> \<bar>f x' - f x\<bar> < e))"
   unfolding continuous_on_iff dist_norm by simp
 
 lemma continuous_on_closed_Collect_le:
   fixes f g :: "'a::topological_space \<Rightarrow> real"
   assumes f: "continuous_on s f" and g: "continuous_on s g" and s: "closed s"
   shows "closed {x \<in> s. f x \<le> g x}"
 proof -
   have "closed ((\<lambda>x. g x - f x) -` {0..} \<inter> s)"
     using closed_real_atLeast continuous_on_diff [OF g f]
     by (simp add: continuous_on_closed_vimage [OF s])
   also have "((\<lambda>x. g x - f x) -` {0..} \<inter> s) = {x\<in>s. f x \<le> g x}"
     by auto
   finally show ?thesis .
 qed
 
 lemma continuous_le_on_closure:
   fixes a::real
   assumes f: "continuous_on (closure s) f"
       and x: "x \<in> closure(s)"
       and xlo: "\<And>x. x \<in> s ==> f(x) \<le> a"
     shows "f(x) \<le> a"
   using image_closure_subset [OF f, where T=" {x. x \<le> a}" ] assms
     continuous_on_closed_Collect_le[of "UNIV" "\<lambda>x. x" "\<lambda>x. a"]
   by auto
 
 lemma continuous_ge_on_closure:
   fixes a::real
   assumes f: "continuous_on (closure s) f"
       and x: "x \<in> closure(s)"
       and xlo: "\<And>x. x \<in> s ==> f(x) \<ge> a"
     shows "f(x) \<ge> a"
   using image_closure_subset [OF f, where T=" {x. a \<le> x}"] assms
     continuous_on_closed_Collect_le[of "UNIV" "\<lambda>x. a" "\<lambda>x. x"]
   by auto
 
 
 subsection\<open>The infimum of the distance between two sets\<close>
 
 definition\<^marker>\<open>tag important\<close> setdist :: "'a::metric_space set \<Rightarrow> 'a set \<Rightarrow> real" where
   "setdist s t \<equiv>
        (if s = {} \<or> t = {} then 0
         else Inf {dist x y| x y. x \<in> s \<and> y \<in> t})"
 
 lemma setdist_empty1 [simp]: "setdist {} t = 0"
   by (simp add: setdist_def)
 
 lemma setdist_empty2 [simp]: "setdist t {} = 0"
   by (simp add: setdist_def)
 
 lemma setdist_pos_le [simp]: "0 \<le> setdist s t"
   by (auto simp: setdist_def ex_in_conv [symmetric] intro: cInf_greatest)
 
 lemma le_setdistI:
   assumes "s \<noteq> {}" "t \<noteq> {}" "\<And>x y. \<lbrakk>x \<in> s; y \<in> t\<rbrakk> \<Longrightarrow> d \<le> dist x y"
     shows "d \<le> setdist s t"
   using assms
   by (auto simp: setdist_def Set.ex_in_conv [symmetric] intro: cInf_greatest)
 
 lemma setdist_le_dist: "\<lbrakk>x \<in> s; y \<in> t\<rbrakk> \<Longrightarrow> setdist s t \<le> dist x y"
   unfolding setdist_def
   by (auto intro!: bdd_belowI [where m=0] cInf_lower)
 
 lemma le_setdist_iff:
         "d \<le> setdist s t \<longleftrightarrow>
         (\<forall>x \<in> s. \<forall>y \<in> t. d \<le> dist x y) \<and> (s = {} \<or> t = {} \<longrightarrow> d \<le> 0)"
   apply (cases "s = {} \<or> t = {}")
   apply (force simp add: setdist_def)
   apply (intro iffI conjI)
   using setdist_le_dist apply fastforce
   apply (auto simp: intro: le_setdistI)
   done
 
 lemma setdist_ltE:
   assumes "setdist s t < b" "s \<noteq> {}" "t \<noteq> {}"
     obtains x y where "x \<in> s" "y \<in> t" "dist x y < b"
 using assms
 by (auto simp: not_le [symmetric] le_setdist_iff)
 
 lemma setdist_refl: "setdist s s = 0"
   apply (cases "s = {}")
   apply (force simp add: setdist_def)
   apply (rule antisym [OF _ setdist_pos_le])
   apply (metis all_not_in_conv dist_self setdist_le_dist)
   done
 
 lemma setdist_sym: "setdist s t = setdist t s"
   by (force simp: setdist_def dist_commute intro!: arg_cong [where f=Inf])
 
 lemma setdist_triangle: "setdist s t \<le> setdist s {a} + setdist {a} t"
 proof (cases "s = {} \<or> t = {}")
   case True then show ?thesis
     using setdist_pos_le by fastforce
 next
   case False
   have "\<And>x. x \<in> s \<Longrightarrow> setdist s t - dist x a \<le> setdist {a} t"
     apply (rule le_setdistI, blast)
     using False apply (fastforce intro: le_setdistI)
     apply (simp add: algebra_simps)
     apply (metis dist_commute dist_triangle3 order_trans [OF setdist_le_dist])
     done
   then have "setdist s t - setdist {a} t \<le> setdist s {a}"
     using False by (fastforce intro: le_setdistI)
   then show ?thesis
     by (simp add: algebra_simps)
 qed
 
 lemma setdist_singletons [simp]: "setdist {x} {y} = dist x y"
   by (simp add: setdist_def)
 
 lemma setdist_Lipschitz: "\<bar>setdist {x} s - setdist {y} s\<bar> \<le> dist x y"
   apply (subst setdist_singletons [symmetric])
   by (metis abs_diff_le_iff diff_le_eq setdist_triangle setdist_sym)
 
 lemma continuous_at_setdist [continuous_intros]: "continuous (at x) (\<lambda>y. (setdist {y} s))"
   by (force simp: continuous_at_eps_delta dist_real_def intro: le_less_trans [OF setdist_Lipschitz])
 
 lemma continuous_on_setdist [continuous_intros]: "continuous_on t (\<lambda>y. (setdist {y} s))"
   by (metis continuous_at_setdist continuous_at_imp_continuous_on)
 
 lemma uniformly_continuous_on_setdist: "uniformly_continuous_on t (\<lambda>y. (setdist {y} s))"
   by (force simp: uniformly_continuous_on_def dist_real_def intro: le_less_trans [OF setdist_Lipschitz])
 
 lemma setdist_subset_right: "\<lbrakk>t \<noteq> {}; t \<subseteq> u\<rbrakk> \<Longrightarrow> setdist s u \<le> setdist s t"
   apply (cases "s = {} \<or> u = {}", force)
   apply (auto simp: setdist_def intro!: bdd_belowI [where m=0] cInf_superset_mono)
   done
 
 lemma setdist_subset_left: "\<lbrakk>s \<noteq> {}; s \<subseteq> t\<rbrakk> \<Longrightarrow> setdist t u \<le> setdist s u"
   by (metis setdist_subset_right setdist_sym)
 
 lemma setdist_closure_1 [simp]: "setdist (closure s) t = setdist s t"
 proof (cases "s = {} \<or> t = {}")
   case True then show ?thesis by force
 next
   case False
   { fix y
     assume "y \<in> t"
     have "continuous_on (closure s) (\<lambda>a. dist a y)"
       by (auto simp: continuous_intros dist_norm)
     then have *: "\<And>x. x \<in> closure s \<Longrightarrow> setdist s t \<le> dist x y"
       apply (rule continuous_ge_on_closure)
       apply assumption
       apply (blast intro: setdist_le_dist \<open>y \<in> t\<close> )
       done
   } note * = this
   show ?thesis
     apply (rule antisym)
      using False closure_subset apply (blast intro: setdist_subset_left)
     using False *
     apply (force intro!: le_setdistI)
     done
 qed
 
 lemma setdist_closure_2 [simp]: "setdist t (closure s) = setdist t s"
 by (metis setdist_closure_1 setdist_sym)
 
 lemma setdist_eq_0I: "\<lbrakk>x \<in> S; x \<in> T\<rbrakk> \<Longrightarrow> setdist S T = 0"
   by (metis antisym dist_self setdist_le_dist setdist_pos_le)
 
 lemma setdist_unique:
   "\<lbrakk>a \<in> S; b \<in> T; \<And>x y. x \<in> S \<and> y \<in> T ==> dist a b \<le> dist x y\<rbrakk>
    \<Longrightarrow> setdist S T = dist a b"
   by (force simp add: setdist_le_dist le_setdist_iff intro: antisym)
 
 lemma setdist_le_sing: "x \<in> S ==> setdist S T \<le> setdist {x} T"
   using setdist_subset_left by auto
 
 lemma infdist_eq_setdist: "infdist x A = setdist {x} A"
   by (simp add: infdist_def setdist_def Setcompr_eq_image)
 
 lemma setdist_eq_infdist: "setdist A B = (if A = {} then 0 else INF a\<in>A. infdist a B)"
 proof -
   have "Inf {dist x y |x y. x \<in> A \<and> y \<in> B} = (INF x\<in>A. Inf (dist x ` B))"
     if "b \<in> B" "a \<in> A" for a b
   proof (rule order_antisym)
     have "Inf {dist x y |x y. x \<in> A \<and> y \<in> B} \<le> Inf (dist x ` B)"
       if  "b \<in> B" "a \<in> A" "x \<in> A" for x 
     proof -
       have *: "\<And>b'. b' \<in> B \<Longrightarrow> Inf {dist x y |x y. x \<in> A \<and> y \<in> B} \<le> dist x b'"
         by (metis (mono_tags, lifting) ex_in_conv setdist_def setdist_le_dist that(3))
       show ?thesis
         using that by (subst conditionally_complete_lattice_class.le_cInf_iff) (auto simp: *)+
     qed
     then show "Inf {dist x y |x y. x \<in> A \<and> y \<in> B} \<le> (INF x\<in>A. Inf (dist x ` B))"
       using that
       by (subst conditionally_complete_lattice_class.le_cInf_iff) (auto simp: bdd_below_def)
   next
     have *: "\<And>x y. \<lbrakk>b \<in> B; a \<in> A; x \<in> A; y \<in> B\<rbrakk> \<Longrightarrow> \<exists>a\<in>A. Inf (dist a ` B) \<le> dist x y"
       by (meson bdd_below_image_dist cINF_lower)
     show "(INF x\<in>A. Inf (dist x ` B)) \<le> Inf {dist x y |x y. x \<in> A \<and> y \<in> B}"
     proof (rule conditionally_complete_lattice_class.cInf_mono)
       show "bdd_below ((\<lambda>x. Inf (dist x ` B)) ` A)"
         by (metis (no_types, lifting) bdd_belowI2 ex_in_conv infdist_def infdist_nonneg that(1))
     qed (use that in \<open>auto simp: *\<close>)
   qed
   then show ?thesis
     by (auto simp: setdist_def infdist_def)
 qed
 
 lemma infdist_mono:
   assumes "A \<subseteq> B" "A \<noteq> {}"
   shows "infdist x B \<le> infdist x A"
   by (simp add: assms infdist_eq_setdist setdist_subset_right)
 
 lemma infdist_singleton [simp]:
   "infdist x {y} = dist x y"
   by (simp add: infdist_eq_setdist)
 
 proposition setdist_attains_inf:
   assumes "compact B" "B \<noteq> {}"
   obtains y where "y \<in> B" "setdist A B = infdist y A"
 proof (cases "A = {}")
   case True
   then show thesis
     by (metis assms diameter_compact_attained infdist_def setdist_def that)
 next
   case False
   obtain y where "y \<in> B" and min: "\<And>y'. y' \<in> B \<Longrightarrow> infdist y A \<le> infdist y' A"
     by (metis continuous_attains_inf [OF assms continuous_on_infdist] continuous_on_id)
   show thesis
   proof
     have "setdist A B = (INF y\<in>B. infdist y A)"
       by (metis \<open>B \<noteq> {}\<close> setdist_eq_infdist setdist_sym)
     also have "\<dots> = infdist y A"
     proof (rule order_antisym)
       show "(INF y\<in>B. infdist y A) \<le> infdist y A"
       proof (rule cInf_lower)
         show "infdist y A \<in> (\<lambda>y. infdist y A) ` B"
           using \<open>y \<in> B\<close> by blast
         show "bdd_below ((\<lambda>y. infdist y A) ` B)"
           by (meson bdd_belowI2 infdist_nonneg)
       qed
     next
       show "infdist y A \<le> (INF y\<in>B. infdist y A)"
         by (simp add: \<open>B \<noteq> {}\<close> cINF_greatest min)
     qed
     finally show "setdist A B = infdist y A" .
   qed (fact \<open>y \<in> B\<close>)
 qed
 
 end
diff --git a/src/HOL/Analysis/Metric_Arith.thy b/src/HOL/Analysis/Metric_Arith.thy
--- a/src/HOL/Analysis/Metric_Arith.thy
+++ b/src/HOL/Analysis/Metric_Arith.thy
@@ -1,112 +1,114 @@
 (*  Title:    Metric_Arith.thy
     Author:   Maximilian Schäffeler (port from HOL Light)
 *)
 
-section \<open>A decision procedure for metric spaces\<close>
+chapter \<open>Functional Analysis\<close>
+
+section\<^marker>\<open>tag unimportant\<close> \<open>A decision procedure for metric spaces\<close>
 
 theory Metric_Arith
   imports HOL.Real_Vector_Spaces
 begin
 
-text \<open>
+text\<^marker>\<open>tag unimportant\<close> \<open>
 A port of the decision procedure ``Formalization of metric spaces in HOL Light''
 @{cite "DBLP:journals/jar/Maggesi18"} for the type class @{class metric_space},
 with the \<open>Argo\<close> solver as backend.
 \<close>
 
 named_theorems metric_prenex
 named_theorems metric_nnf
 named_theorems metric_unfold
 named_theorems metric_pre_arith
 
 lemmas pre_arith_simps =
   max.bounded_iff max_less_iff_conj
   le_max_iff_disj less_max_iff_disj
   simp_thms HOL.eq_commute
 declare pre_arith_simps [metric_pre_arith]
 
 lemmas unfold_simps =
   Un_iff subset_iff disjoint_iff_not_equal
   Ball_def Bex_def
 declare unfold_simps [metric_unfold]
 
 declare HOL.nnf_simps(4) [metric_prenex]
 
 lemma imp_prenex [metric_prenex]:
   "\<And>P Q. (\<exists>x. P x) \<longrightarrow> Q \<equiv> \<forall>x. (P x \<longrightarrow> Q)"
   "\<And>P Q. P \<longrightarrow> (\<exists>x. Q x) \<equiv> \<exists>x. (P \<longrightarrow> Q x)"
   "\<And>P Q. (\<forall>x. P x) \<longrightarrow> Q \<equiv> \<exists>x. (P x \<longrightarrow> Q)"
   "\<And>P Q. P \<longrightarrow> (\<forall>x. Q x) \<equiv> \<forall>x. (P \<longrightarrow> Q x)"
   by simp_all
 
 lemma ex_prenex [metric_prenex]:
   "\<And>P Q. (\<exists>x. P x) \<and> Q \<equiv> \<exists>x. (P x \<and> Q)"
   "\<And>P Q. P \<and> (\<exists>x. Q x) \<equiv> \<exists>x. (P \<and> Q x)"
   "\<And>P Q. (\<exists>x. P x) \<or> Q \<equiv> \<exists>x. (P x \<or> Q)"
   "\<And>P Q. P \<or> (\<exists>x. Q x) \<equiv> \<exists>x. (P \<or> Q x)"
   "\<And>P. \<not>(\<exists>x. P x) \<equiv> \<forall>x. \<not>P x"
   by simp_all
 
 lemma all_prenex [metric_prenex]:
   "\<And>P Q. (\<forall>x. P x) \<and> Q \<equiv> \<forall>x. (P x \<and> Q)"
   "\<And>P Q. P \<and> (\<forall>x. Q x) \<equiv> \<forall>x. (P \<and> Q x)"
   "\<And>P Q. (\<forall>x. P x) \<or> Q \<equiv> \<forall>x. (P x \<or> Q)"
   "\<And>P Q. P \<or> (\<forall>x. Q x) \<equiv> \<forall>x. (P \<or> Q x)"
   "\<And>P. \<not>(\<forall>x. P x) \<equiv> \<exists>x. \<not>P x"
   by simp_all
 
 lemma nnf_thms [metric_nnf]:
   "(\<not> (P \<and> Q)) = (\<not> P \<or> \<not> Q)"
   "(\<not> (P \<or> Q)) = (\<not> P \<and> \<not> Q)"
   "(P \<longrightarrow> Q) = (\<not> P \<or> Q)"
   "(P = Q) \<longleftrightarrow> (P \<or> \<not> Q) \<and> (\<not> P \<or> Q)"
   "(\<not> (P = Q)) \<longleftrightarrow> (\<not> P \<or> \<not> Q) \<and> (P \<or> Q)"
   "(\<not> \<not> P) = P"
   by blast+
 
 lemmas nnf_simps = nnf_thms linorder_not_less linorder_not_le
 declare nnf_simps[metric_nnf]
 
 lemma ball_insert: "(\<forall>x\<in>insert a B. P x) = (P a \<and> (\<forall>x\<in>B. P x))"
   by blast
 
 lemma Sup_insert_insert:
   fixes a::real
   shows "Sup (insert a (insert b s)) = Sup (insert (max a b) s)"
   by (simp add: Sup_real_def)
 
 lemma real_abs_dist: "\<bar>dist x y\<bar> = dist x y"
   by simp
 
 lemma maxdist_thm [THEN HOL.eq_reflection]:
   assumes "finite s" "x \<in> s" "y \<in> s"
   defines "\<And>a. f a \<equiv> \<bar>dist x a - dist a y\<bar>"
   shows "dist x y = Sup (f ` s)"
 proof -
   have "dist x y \<le> Sup (f ` s)"
   proof -
     have "finite (f ` s)"
       by (simp add: \<open>finite s\<close>)
     moreover have "\<bar>dist x y - dist y y\<bar> \<in> f ` s"
       by (metis \<open>y \<in> s\<close> f_def imageI)
     ultimately show ?thesis
       using le_cSup_finite by simp
   qed
   also have "Sup (f ` s) \<le> dist x y"
     using \<open>x \<in> s\<close> cSUP_least[of s f] abs_dist_diff_le
     unfolding f_def
     by blast
   finally show ?thesis .
 qed
 
 theorem metric_eq_thm [THEN HOL.eq_reflection]:
   "x \<in> s \<Longrightarrow> y \<in> s \<Longrightarrow> x = y \<longleftrightarrow> (\<forall>a\<in>s. dist x a = dist y a)"
   by auto
 
 ML_file "metric_arith.ML"
 
 method_setup metric = \<open>
   Scan.succeed (SIMPLE_METHOD' o MetricArith.metric_arith_tac)
 \<close> "prove simple linear statements in metric spaces (\<forall>\<exists>\<^sub>p fragment)"
 
 end
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