generalize Borel-set properties from real/ereal/ordered_euclidean_spaces to order_topology and real_normed_vector
(* Title: HOL/Probability/Borel_Space.thy
Author: Johannes Hölzl, TU München
Author: Armin Heller, TU München
*)
header {*Borel spaces*}
theory Borel_Space
imports
Measurable
"~~/src/HOL/Multivariate_Analysis/Multivariate_Analysis"
begin
section "Generic Borel spaces"
definition borel :: "'a::topological_space measure" where
"borel = sigma UNIV {S. open S}"
abbreviation "borel_measurable M \<equiv> measurable M borel"
lemma in_borel_measurable:
"f \<in> borel_measurable M \<longleftrightarrow>
(\<forall>S \<in> sigma_sets UNIV {S. open S}. f -` S \<inter> space M \<in> sets M)"
by (auto simp add: measurable_def borel_def)
lemma in_borel_measurable_borel:
"f \<in> borel_measurable M \<longleftrightarrow>
(\<forall>S \<in> sets borel.
f -` S \<inter> space M \<in> sets M)"
by (auto simp add: measurable_def borel_def)
lemma space_borel[simp]: "space borel = UNIV"
unfolding borel_def by auto
lemma space_in_borel[measurable]: "UNIV \<in> sets borel"
unfolding borel_def by auto
lemma pred_Collect_borel[measurable (raw)]: "Measurable.pred borel P \<Longrightarrow> {x. P x} \<in> sets borel"
unfolding borel_def pred_def by auto
lemma borel_open[measurable (raw generic)]:
assumes "open A" shows "A \<in> sets borel"
proof -
have "A \<in> {S. open S}" unfolding mem_Collect_eq using assms .
thus ?thesis unfolding borel_def by auto
qed
lemma borel_closed[measurable (raw generic)]:
assumes "closed A" shows "A \<in> sets borel"
proof -
have "space borel - (- A) \<in> sets borel"
using assms unfolding closed_def by (blast intro: borel_open)
thus ?thesis by simp
qed
lemma borel_singleton[measurable]:
"A \<in> sets borel \<Longrightarrow> insert x A \<in> sets (borel :: 'a::t1_space measure)"
unfolding insert_def by (rule sets.Un) auto
lemma borel_comp[measurable]: "A \<in> sets borel \<Longrightarrow> - A \<in> sets borel"
unfolding Compl_eq_Diff_UNIV by simp
lemma borel_measurable_vimage:
fixes f :: "'a \<Rightarrow> 'x::t2_space"
assumes borel[measurable]: "f \<in> borel_measurable M"
shows "f -` {x} \<inter> space M \<in> sets M"
by simp
lemma borel_measurableI:
fixes f :: "'a \<Rightarrow> 'x\<Colon>topological_space"
assumes "\<And>S. open S \<Longrightarrow> f -` S \<inter> space M \<in> sets M"
shows "f \<in> borel_measurable M"
unfolding borel_def
proof (rule measurable_measure_of, simp_all)
fix S :: "'x set" assume "open S" thus "f -` S \<inter> space M \<in> sets M"
using assms[of S] by simp
qed
lemma borel_measurable_const:
"(\<lambda>x. c) \<in> borel_measurable M"
by auto
lemma borel_measurable_indicator:
assumes A: "A \<in> sets M"
shows "indicator A \<in> borel_measurable M"
unfolding indicator_def [abs_def] using A
by (auto intro!: measurable_If_set)
lemma borel_measurable_count_space[measurable (raw)]:
"f \<in> borel_measurable (count_space S)"
unfolding measurable_def by auto
lemma borel_measurable_indicator'[measurable (raw)]:
assumes [measurable]: "{x\<in>space M. f x \<in> A x} \<in> sets M"
shows "(\<lambda>x. indicator (A x) (f x)) \<in> borel_measurable M"
unfolding indicator_def[abs_def]
by (auto intro!: measurable_If)
lemma borel_measurable_indicator_iff:
"(indicator A :: 'a \<Rightarrow> 'x::{t1_space, zero_neq_one}) \<in> borel_measurable M \<longleftrightarrow> A \<inter> space M \<in> sets M"
(is "?I \<in> borel_measurable M \<longleftrightarrow> _")
proof
assume "?I \<in> borel_measurable M"
then have "?I -` {1} \<inter> space M \<in> sets M"
unfolding measurable_def by auto
also have "?I -` {1} \<inter> space M = A \<inter> space M"
unfolding indicator_def [abs_def] by auto
finally show "A \<inter> space M \<in> sets M" .
next
assume "A \<inter> space M \<in> sets M"
moreover have "?I \<in> borel_measurable M \<longleftrightarrow>
(indicator (A \<inter> space M) :: 'a \<Rightarrow> 'x) \<in> borel_measurable M"
by (intro measurable_cong) (auto simp: indicator_def)
ultimately show "?I \<in> borel_measurable M" by auto
qed
lemma borel_measurable_subalgebra:
assumes "sets N \<subseteq> sets M" "space N = space M" "f \<in> borel_measurable N"
shows "f \<in> borel_measurable M"
using assms unfolding measurable_def by auto
lemma borel_measurable_continuous_on1:
fixes f :: "'a::topological_space \<Rightarrow> 'b::topological_space"
assumes "continuous_on UNIV f"
shows "f \<in> borel_measurable borel"
apply(rule borel_measurableI)
using continuous_open_preimage[OF assms] unfolding vimage_def by auto
lemma borel_eq_countable_basis:
fixes B::"'a::topological_space set set"
assumes "countable B"
assumes "topological_basis B"
shows "borel = sigma UNIV B"
unfolding borel_def
proof (intro sigma_eqI sigma_sets_eqI, safe)
interpret countable_basis using assms by unfold_locales
fix X::"'a set" assume "open X"
from open_countable_basisE[OF this] guess B' . note B' = this
then show "X \<in> sigma_sets UNIV B"
by (blast intro: sigma_sets_UNION `countable B` countable_subset)
next
fix b assume "b \<in> B"
hence "open b" by (rule topological_basis_open[OF assms(2)])
thus "b \<in> sigma_sets UNIV (Collect open)" by auto
qed simp_all
lemma borel_measurable_Pair[measurable (raw)]:
fixes f :: "'a \<Rightarrow> 'b::second_countable_topology" and g :: "'a \<Rightarrow> 'c::second_countable_topology"
assumes f[measurable]: "f \<in> borel_measurable M"
assumes g[measurable]: "g \<in> borel_measurable M"
shows "(\<lambda>x. (f x, g x)) \<in> borel_measurable M"
proof (subst borel_eq_countable_basis)
let ?B = "SOME B::'b set set. countable B \<and> topological_basis B"
let ?C = "SOME B::'c set set. countable B \<and> topological_basis B"
let ?P = "(\<lambda>(b, c). b \<times> c) ` (?B \<times> ?C)"
show "countable ?P" "topological_basis ?P"
by (auto intro!: countable_basis topological_basis_prod is_basis)
show "(\<lambda>x. (f x, g x)) \<in> measurable M (sigma UNIV ?P)"
proof (rule measurable_measure_of)
fix S assume "S \<in> ?P"
then obtain b c where "b \<in> ?B" "c \<in> ?C" and S: "S = b \<times> c" by auto
then have borel: "open b" "open c"
by (auto intro: is_basis topological_basis_open)
have "(\<lambda>x. (f x, g x)) -` S \<inter> space M = (f -` b \<inter> space M) \<inter> (g -` c \<inter> space M)"
unfolding S by auto
also have "\<dots> \<in> sets M"
using borel by simp
finally show "(\<lambda>x. (f x, g x)) -` S \<inter> space M \<in> sets M" .
qed auto
qed
lemma borel_measurable_continuous_on:
fixes f :: "'a::topological_space \<Rightarrow> 'b::topological_space"
assumes f: "continuous_on UNIV f" and g: "g \<in> borel_measurable M"
shows "(\<lambda>x. f (g x)) \<in> borel_measurable M"
using measurable_comp[OF g borel_measurable_continuous_on1[OF f]] by (simp add: comp_def)
lemma borel_measurable_continuous_on_open':
fixes f :: "'a::topological_space \<Rightarrow> 'b::t1_space"
assumes cont: "continuous_on A f" "open A"
shows "(\<lambda>x. if x \<in> A then f x else c) \<in> borel_measurable borel" (is "?f \<in> _")
proof (rule borel_measurableI)
fix S :: "'b set" assume "open S"
then have "open {x\<in>A. f x \<in> S}"
by (intro continuous_open_preimage[OF cont]) auto
then have *: "{x\<in>A. f x \<in> S} \<in> sets borel" by auto
have "?f -` S \<inter> space borel =
{x\<in>A. f x \<in> S} \<union> (if c \<in> S then space borel - A else {})"
by (auto split: split_if_asm)
also have "\<dots> \<in> sets borel"
using * `open A` by auto
finally show "?f -` S \<inter> space borel \<in> sets borel" .
qed
lemma borel_measurable_continuous_on_open:
fixes f :: "'a::topological_space \<Rightarrow> 'b::t1_space"
assumes cont: "continuous_on A f" "open A"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. if g x \<in> A then f (g x) else c) \<in> borel_measurable M"
using measurable_comp[OF g borel_measurable_continuous_on_open'[OF cont], of c]
by (simp add: comp_def)
lemma borel_measurable_continuous_Pair:
fixes f :: "'a \<Rightarrow> 'b::second_countable_topology" and g :: "'a \<Rightarrow> 'c::second_countable_topology"
assumes [measurable]: "f \<in> borel_measurable M"
assumes [measurable]: "g \<in> borel_measurable M"
assumes H: "continuous_on UNIV (\<lambda>x. H (fst x) (snd x))"
shows "(\<lambda>x. H (f x) (g x)) \<in> borel_measurable M"
proof -
have eq: "(\<lambda>x. H (f x) (g x)) = (\<lambda>x. (\<lambda>x. H (fst x) (snd x)) (f x, g x))" by auto
show ?thesis
unfolding eq by (rule borel_measurable_continuous_on[OF H]) auto
qed
section "Borel spaces on euclidean spaces"
lemma borel_measurable_inner[measurable (raw)]:
fixes f g :: "'a \<Rightarrow> 'b::{second_countable_topology, real_inner}"
assumes "f \<in> borel_measurable M"
assumes "g \<in> borel_measurable M"
shows "(\<lambda>x. f x \<bullet> g x) \<in> borel_measurable M"
using assms
by (rule borel_measurable_continuous_Pair) (intro continuous_on_intros)
lemma [measurable]:
fixes a b :: "'a\<Colon>linorder_topology"
shows lessThan_borel: "{..< a} \<in> sets borel"
and greaterThan_borel: "{a <..} \<in> sets borel"
and greaterThanLessThan_borel: "{a<..<b} \<in> sets borel"
and atMost_borel: "{..a} \<in> sets borel"
and atLeast_borel: "{a..} \<in> sets borel"
and atLeastAtMost_borel: "{a..b} \<in> sets borel"
and greaterThanAtMost_borel: "{a<..b} \<in> sets borel"
and atLeastLessThan_borel: "{a..<b} \<in> sets borel"
unfolding greaterThanAtMost_def atLeastLessThan_def
by (blast intro: borel_open borel_closed open_lessThan open_greaterThan open_greaterThanLessThan
closed_atMost closed_atLeast closed_atLeastAtMost)+
lemma eucl_ivals[measurable]:
fixes a b :: "'a\<Colon>ordered_euclidean_space"
shows "{..< a} \<in> sets borel"
and "{a <..} \<in> sets borel"
and "{a<..<b} \<in> sets borel"
and "{..a} \<in> sets borel"
and "{a..} \<in> sets borel"
and "{a..b} \<in> sets borel"
and "{a<..b} \<in> sets borel"
and "{a..<b} \<in> sets borel"
unfolding greaterThanAtMost_def atLeastLessThan_def
by (blast intro: borel_open borel_closed)+
lemma open_Collect_less:
fixes f g :: "'i::topological_space \<Rightarrow> 'a :: {inner_dense_linorder, linorder_topology}"
assumes "continuous_on UNIV f"
assumes "continuous_on UNIV g"
shows "open {x. f x < g x}"
proof -
have "open (\<Union>y. {x \<in> UNIV. f x \<in> {..< y}} \<inter> {x \<in> UNIV. g x \<in> {y <..}})" (is "open ?X")
by (intro open_UN ballI open_Int continuous_open_preimage assms) auto
also have "?X = {x. f x < g x}"
by (auto intro: dense)
finally show ?thesis .
qed
lemma closed_Collect_le:
fixes f g :: "'i::topological_space \<Rightarrow> 'a :: {inner_dense_linorder, linorder_topology}"
assumes f: "continuous_on UNIV f"
assumes g: "continuous_on UNIV g"
shows "closed {x. f x \<le> g x}"
using open_Collect_less[OF g f] unfolding not_less[symmetric] Collect_neg_eq open_closed .
lemma borel_measurable_less[measurable]:
fixes f :: "'a \<Rightarrow> 'b::{second_countable_topology, inner_dense_linorder, linorder_topology}"
assumes "f \<in> borel_measurable M"
assumes "g \<in> borel_measurable M"
shows "{w \<in> space M. f w < g w} \<in> sets M"
proof -
have "{w \<in> space M. f w < g w} = (\<lambda>x. (f x, g x)) -` {x. fst x < snd x} \<inter> space M"
by auto
also have "\<dots> \<in> sets M"
by (intro measurable_sets[OF borel_measurable_Pair borel_open, OF assms open_Collect_less]
continuous_on_intros)
finally show ?thesis .
qed
lemma
fixes f :: "'a \<Rightarrow> 'b::{second_countable_topology, inner_dense_linorder, linorder_topology}"
assumes f[measurable]: "f \<in> borel_measurable M"
assumes g[measurable]: "g \<in> borel_measurable M"
shows borel_measurable_le[measurable]: "{w \<in> space M. f w \<le> g w} \<in> sets M"
and borel_measurable_eq[measurable]: "{w \<in> space M. f w = g w} \<in> sets M"
and borel_measurable_neq: "{w \<in> space M. f w \<noteq> g w} \<in> sets M"
unfolding eq_iff not_less[symmetric]
by measurable
lemma
fixes i :: "'a::{second_countable_topology, real_inner}"
shows hafspace_less_borel: "{x. a < x \<bullet> i} \<in> sets borel"
and hafspace_greater_borel: "{x. x \<bullet> i < a} \<in> sets borel"
and hafspace_less_eq_borel: "{x. a \<le> x \<bullet> i} \<in> sets borel"
and hafspace_greater_eq_borel: "{x. x \<bullet> i \<le> a} \<in> sets borel"
by simp_all
subsection "Borel space equals sigma algebras over intervals"
lemma borel_sigma_sets_subset:
"A \<subseteq> sets borel \<Longrightarrow> sigma_sets UNIV A \<subseteq> sets borel"
using sets.sigma_sets_subset[of A borel] by simp
lemma borel_eq_sigmaI1:
fixes F :: "'i \<Rightarrow> 'a::topological_space set" and X :: "'a::topological_space set set"
assumes borel_eq: "borel = sigma UNIV X"
assumes X: "\<And>x. x \<in> X \<Longrightarrow> x \<in> sets (sigma UNIV (F ` A))"
assumes F: "\<And>i. i \<in> A \<Longrightarrow> F i \<in> sets borel"
shows "borel = sigma UNIV (F ` A)"
unfolding borel_def
proof (intro sigma_eqI antisym)
have borel_rev_eq: "sigma_sets UNIV {S::'a set. open S} = sets borel"
unfolding borel_def by simp
also have "\<dots> = sigma_sets UNIV X"
unfolding borel_eq by simp
also have "\<dots> \<subseteq> sigma_sets UNIV (F`A)"
using X by (intro sigma_algebra.sigma_sets_subset[OF sigma_algebra_sigma_sets]) auto
finally show "sigma_sets UNIV {S. open S} \<subseteq> sigma_sets UNIV (F`A)" .
show "sigma_sets UNIV (F`A) \<subseteq> sigma_sets UNIV {S. open S}"
unfolding borel_rev_eq using F by (intro borel_sigma_sets_subset) auto
qed auto
lemma borel_eq_sigmaI2:
fixes F :: "'i \<Rightarrow> 'j \<Rightarrow> 'a::topological_space set"
and G :: "'l \<Rightarrow> 'k \<Rightarrow> 'a::topological_space set"
assumes borel_eq: "borel = sigma UNIV ((\<lambda>(i, j). G i j)`B)"
assumes X: "\<And>i j. (i, j) \<in> B \<Longrightarrow> G i j \<in> sets (sigma UNIV ((\<lambda>(i, j). F i j) ` A))"
assumes F: "\<And>i j. (i, j) \<in> A \<Longrightarrow> F i j \<in> sets borel"
shows "borel = sigma UNIV ((\<lambda>(i, j). F i j) ` A)"
using assms
by (intro borel_eq_sigmaI1[where X="(\<lambda>(i, j). G i j) ` B" and F="(\<lambda>(i, j). F i j)"]) auto
lemma borel_eq_sigmaI3:
fixes F :: "'i \<Rightarrow> 'j \<Rightarrow> 'a::topological_space set" and X :: "'a::topological_space set set"
assumes borel_eq: "borel = sigma UNIV X"
assumes X: "\<And>x. x \<in> X \<Longrightarrow> x \<in> sets (sigma UNIV ((\<lambda>(i, j). F i j) ` A))"
assumes F: "\<And>i j. (i, j) \<in> A \<Longrightarrow> F i j \<in> sets borel"
shows "borel = sigma UNIV ((\<lambda>(i, j). F i j) ` A)"
using assms by (intro borel_eq_sigmaI1[where X=X and F="(\<lambda>(i, j). F i j)"]) auto
lemma borel_eq_sigmaI4:
fixes F :: "'i \<Rightarrow> 'a::topological_space set"
and G :: "'l \<Rightarrow> 'k \<Rightarrow> 'a::topological_space set"
assumes borel_eq: "borel = sigma UNIV ((\<lambda>(i, j). G i j)`A)"
assumes X: "\<And>i j. (i, j) \<in> A \<Longrightarrow> G i j \<in> sets (sigma UNIV (range F))"
assumes F: "\<And>i. F i \<in> sets borel"
shows "borel = sigma UNIV (range F)"
using assms by (intro borel_eq_sigmaI1[where X="(\<lambda>(i, j). G i j) ` A" and F=F]) auto
lemma borel_eq_sigmaI5:
fixes F :: "'i \<Rightarrow> 'j \<Rightarrow> 'a::topological_space set" and G :: "'l \<Rightarrow> 'a::topological_space set"
assumes borel_eq: "borel = sigma UNIV (range G)"
assumes X: "\<And>i. G i \<in> sets (sigma UNIV (range (\<lambda>(i, j). F i j)))"
assumes F: "\<And>i j. F i j \<in> sets borel"
shows "borel = sigma UNIV (range (\<lambda>(i, j). F i j))"
using assms by (intro borel_eq_sigmaI1[where X="range G" and F="(\<lambda>(i, j). F i j)"]) auto
lemma borel_eq_box:
"borel = sigma UNIV (range (\<lambda> (a, b). box a b :: 'a \<Colon> euclidean_space set))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI1[OF borel_def])
fix M :: "'a set" assume "M \<in> {S. open S}"
then have "open M" by simp
show "M \<in> ?SIGMA"
apply (subst open_UNION_box[OF `open M`])
apply (safe intro!: sets.countable_UN' countable_PiE countable_Collect)
apply (auto intro: countable_rat)
done
qed (auto simp: box_def)
lemma borel_eq_greaterThanLessThan:
"borel = sigma UNIV (range (\<lambda> (a, b). {a <..< b} :: 'a \<Colon> ordered_euclidean_space set))"
unfolding borel_eq_box apply (rule arg_cong2[where f=sigma])
by (auto simp: box_def image_iff mem_interval set_eq_iff simp del: greaterThanLessThan_iff)
lemma halfspace_gt_in_halfspace:
assumes i: "i \<in> A"
shows "{x\<Colon>'a. a < x \<bullet> i} \<in>
sigma_sets UNIV ((\<lambda> (a, i). {x\<Colon>'a\<Colon>euclidean_space. x \<bullet> i < a}) ` (UNIV \<times> A))"
(is "?set \<in> ?SIGMA")
proof -
interpret sigma_algebra UNIV ?SIGMA
by (intro sigma_algebra_sigma_sets) simp_all
have *: "?set = (\<Union>n. UNIV - {x\<Colon>'a. x \<bullet> i < a + 1 / real (Suc n)})"
proof (safe, simp_all add: not_less)
fix x :: 'a assume "a < x \<bullet> i"
with reals_Archimedean[of "x \<bullet> i - a"]
obtain n where "a + 1 / real (Suc n) < x \<bullet> i"
by (auto simp: inverse_eq_divide field_simps)
then show "\<exists>n. a + 1 / real (Suc n) \<le> x \<bullet> i"
by (blast intro: less_imp_le)
next
fix x n
have "a < a + 1 / real (Suc n)" by auto
also assume "\<dots> \<le> x"
finally show "a < x" .
qed
show "?set \<in> ?SIGMA" unfolding *
by (auto del: Diff intro!: Diff i)
qed
lemma borel_eq_halfspace_less:
"borel = sigma UNIV ((\<lambda>(a, i). {x::'a::euclidean_space. x \<bullet> i < a}) ` (UNIV \<times> Basis))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI2[OF borel_eq_box])
fix a b :: 'a
have "box a b = {x\<in>space ?SIGMA. \<forall>i\<in>Basis. a \<bullet> i < x \<bullet> i \<and> x \<bullet> i < b \<bullet> i}"
by (auto simp: box_def)
also have "\<dots> \<in> sets ?SIGMA"
by (intro sets.sets_Collect_conj sets.sets_Collect_finite_All sets.sets_Collect_const)
(auto intro!: halfspace_gt_in_halfspace countable_PiE countable_rat)
finally show "box a b \<in> sets ?SIGMA" .
qed auto
lemma borel_eq_halfspace_le:
"borel = sigma UNIV ((\<lambda> (a, i). {x::'a::euclidean_space. x \<bullet> i \<le> a}) ` (UNIV \<times> Basis))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI2[OF borel_eq_halfspace_less])
fix a :: real and i :: 'a assume "(a, i) \<in> UNIV \<times> Basis"
then have i: "i \<in> Basis" by auto
have *: "{x::'a. x\<bullet>i < a} = (\<Union>n. {x. x\<bullet>i \<le> a - 1/real (Suc n)})"
proof (safe, simp_all)
fix x::'a assume *: "x\<bullet>i < a"
with reals_Archimedean[of "a - x\<bullet>i"]
obtain n where "x \<bullet> i < a - 1 / (real (Suc n))"
by (auto simp: field_simps inverse_eq_divide)
then show "\<exists>n. x \<bullet> i \<le> a - 1 / (real (Suc n))"
by (blast intro: less_imp_le)
next
fix x::'a and n
assume "x\<bullet>i \<le> a - 1 / real (Suc n)"
also have "\<dots> < a" by auto
finally show "x\<bullet>i < a" .
qed
show "{x. x\<bullet>i < a} \<in> ?SIGMA" unfolding *
by (safe intro!: sets.countable_UN) (auto intro: i)
qed auto
lemma borel_eq_halfspace_ge:
"borel = sigma UNIV ((\<lambda> (a, i). {x\<Colon>'a\<Colon>euclidean_space. a \<le> x \<bullet> i}) ` (UNIV \<times> Basis))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI2[OF borel_eq_halfspace_less])
fix a :: real and i :: 'a assume i: "(a, i) \<in> UNIV \<times> Basis"
have *: "{x::'a. x\<bullet>i < a} = space ?SIGMA - {x::'a. a \<le> x\<bullet>i}" by auto
show "{x. x\<bullet>i < a} \<in> ?SIGMA" unfolding *
using i by (safe intro!: sets.compl_sets) auto
qed auto
lemma borel_eq_halfspace_greater:
"borel = sigma UNIV ((\<lambda> (a, i). {x\<Colon>'a\<Colon>euclidean_space. a < x \<bullet> i}) ` (UNIV \<times> Basis))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI2[OF borel_eq_halfspace_le])
fix a :: real and i :: 'a assume "(a, i) \<in> (UNIV \<times> Basis)"
then have i: "i \<in> Basis" by auto
have *: "{x::'a. x\<bullet>i \<le> a} = space ?SIGMA - {x::'a. a < x\<bullet>i}" by auto
show "{x. x\<bullet>i \<le> a} \<in> ?SIGMA" unfolding *
by (safe intro!: sets.compl_sets) (auto intro: i)
qed auto
lemma borel_eq_atMost:
"borel = sigma UNIV (range (\<lambda>a. {..a\<Colon>'a\<Colon>ordered_euclidean_space}))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI4[OF borel_eq_halfspace_le])
fix a :: real and i :: 'a assume "(a, i) \<in> UNIV \<times> Basis"
then have "i \<in> Basis" by auto
then have *: "{x::'a. x\<bullet>i \<le> a} = (\<Union>k::nat. {.. (\<Sum>n\<in>Basis. (if n = i then a else real k)*\<^sub>R n)})"
proof (safe, simp_all add: eucl_le[where 'a='a] split: split_if_asm)
fix x :: 'a
from real_arch_simple[of "Max ((\<lambda>i. x\<bullet>i)`Basis)"] guess k::nat ..
then have "\<And>i. i \<in> Basis \<Longrightarrow> x\<bullet>i \<le> real k"
by (subst (asm) Max_le_iff) auto
then show "\<exists>k::nat. \<forall>ia\<in>Basis. ia \<noteq> i \<longrightarrow> x \<bullet> ia \<le> real k"
by (auto intro!: exI[of _ k])
qed
show "{x. x\<bullet>i \<le> a} \<in> ?SIGMA" unfolding *
by (safe intro!: sets.countable_UN) auto
qed auto
lemma borel_eq_greaterThan:
"borel = sigma UNIV (range (\<lambda>a\<Colon>'a\<Colon>ordered_euclidean_space. {a<..}))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI4[OF borel_eq_halfspace_le])
fix a :: real and i :: 'a assume "(a, i) \<in> UNIV \<times> Basis"
then have i: "i \<in> Basis" by auto
have "{x::'a. x\<bullet>i \<le> a} = UNIV - {x::'a. a < x\<bullet>i}" by auto
also have *: "{x::'a. a < x\<bullet>i} =
(\<Union>k::nat. {\<Sum>n\<in>Basis. (if n = i then a else -real k) *\<^sub>R n <..})" using i
proof (safe, simp_all add: eucl_less[where 'a='a] split: split_if_asm)
fix x :: 'a
from reals_Archimedean2[of "Max ((\<lambda>i. -x\<bullet>i)`Basis)"]
guess k::nat .. note k = this
{ fix i :: 'a assume "i \<in> Basis"
then have "-x\<bullet>i < real k"
using k by (subst (asm) Max_less_iff) auto
then have "- real k < x\<bullet>i" by simp }
then show "\<exists>k::nat. \<forall>ia\<in>Basis. ia \<noteq> i \<longrightarrow> -real k < x \<bullet> ia"
by (auto intro!: exI[of _ k])
qed
finally show "{x. x\<bullet>i \<le> a} \<in> ?SIGMA"
apply (simp only:)
apply (safe intro!: sets.countable_UN sets.Diff)
apply (auto intro: sigma_sets_top)
done
qed auto
lemma borel_eq_lessThan:
"borel = sigma UNIV (range (\<lambda>a\<Colon>'a\<Colon>ordered_euclidean_space. {..<a}))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI4[OF borel_eq_halfspace_ge])
fix a :: real and i :: 'a assume "(a, i) \<in> UNIV \<times> Basis"
then have i: "i \<in> Basis" by auto
have "{x::'a. a \<le> x\<bullet>i} = UNIV - {x::'a. x\<bullet>i < a}" by auto
also have *: "{x::'a. x\<bullet>i < a} = (\<Union>k::nat. {..< \<Sum>n\<in>Basis. (if n = i then a else real k) *\<^sub>R n})" using `i\<in> Basis`
proof (safe, simp_all add: eucl_less[where 'a='a] split: split_if_asm)
fix x :: 'a
from reals_Archimedean2[of "Max ((\<lambda>i. x\<bullet>i)`Basis)"]
guess k::nat .. note k = this
{ fix i :: 'a assume "i \<in> Basis"
then have "x\<bullet>i < real k"
using k by (subst (asm) Max_less_iff) auto
then have "x\<bullet>i < real k" by simp }
then show "\<exists>k::nat. \<forall>ia\<in>Basis. ia \<noteq> i \<longrightarrow> x \<bullet> ia < real k"
by (auto intro!: exI[of _ k])
qed
finally show "{x. a \<le> x\<bullet>i} \<in> ?SIGMA"
apply (simp only:)
apply (safe intro!: sets.countable_UN sets.Diff)
apply (auto intro: sigma_sets_top)
done
qed auto
lemma borel_eq_atLeastAtMost:
"borel = sigma UNIV (range (\<lambda>(a,b). {a..b} \<Colon>'a\<Colon>ordered_euclidean_space set))"
(is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI5[OF borel_eq_atMost])
fix a::'a
have *: "{..a} = (\<Union>n::nat. {- real n *\<^sub>R One .. a})"
proof (safe, simp_all add: eucl_le[where 'a='a])
fix x :: 'a
from real_arch_simple[of "Max ((\<lambda>i. - x\<bullet>i)`Basis)"]
guess k::nat .. note k = this
{ fix i :: 'a assume "i \<in> Basis"
with k have "- x\<bullet>i \<le> real k"
by (subst (asm) Max_le_iff) (auto simp: field_simps)
then have "- real k \<le> x\<bullet>i" by simp }
then show "\<exists>n::nat. \<forall>i\<in>Basis. - real n \<le> x \<bullet> i"
by (auto intro!: exI[of _ k])
qed
show "{..a} \<in> ?SIGMA" unfolding *
by (safe intro!: sets.countable_UN)
(auto intro!: sigma_sets_top)
qed auto
lemma borel_eq_atLeastLessThan:
"borel = sigma UNIV (range (\<lambda>(a, b). {a ..< b :: real}))" (is "_ = ?SIGMA")
proof (rule borel_eq_sigmaI5[OF borel_eq_lessThan])
have move_uminus: "\<And>x y::real. -x \<le> y \<longleftrightarrow> -y \<le> x" by auto
fix x :: real
have "{..<x} = (\<Union>i::nat. {-real i ..< x})"
by (auto simp: move_uminus real_arch_simple)
then show "{..< x} \<in> ?SIGMA"
by (auto intro: sigma_sets.intros)
qed auto
lemma borel_eq_closed: "borel = sigma UNIV (Collect closed)"
unfolding borel_def
proof (intro sigma_eqI sigma_sets_eqI, safe)
fix x :: "'a set" assume "open x"
hence "x = UNIV - (UNIV - x)" by auto
also have "\<dots> \<in> sigma_sets UNIV (Collect closed)"
by (rule sigma_sets.Compl)
(auto intro!: sigma_sets.Basic simp: `open x`)
finally show "x \<in> sigma_sets UNIV (Collect closed)" by simp
next
fix x :: "'a set" assume "closed x"
hence "x = UNIV - (UNIV - x)" by auto
also have "\<dots> \<in> sigma_sets UNIV (Collect open)"
by (rule sigma_sets.Compl)
(auto intro!: sigma_sets.Basic simp: `closed x`)
finally show "x \<in> sigma_sets UNIV (Collect open)" by simp
qed simp_all
lemma borel_measurable_halfspacesI:
fixes f :: "'a \<Rightarrow> 'c\<Colon>euclidean_space"
assumes F: "borel = sigma UNIV (F ` (UNIV \<times> Basis))"
and S_eq: "\<And>a i. S a i = f -` F (a,i) \<inter> space M"
shows "f \<in> borel_measurable M = (\<forall>i\<in>Basis. \<forall>a::real. S a i \<in> sets M)"
proof safe
fix a :: real and i :: 'b assume i: "i \<in> Basis" and f: "f \<in> borel_measurable M"
then show "S a i \<in> sets M" unfolding assms
by (auto intro!: measurable_sets simp: assms(1))
next
assume a: "\<forall>i\<in>Basis. \<forall>a. S a i \<in> sets M"
then show "f \<in> borel_measurable M"
by (auto intro!: measurable_measure_of simp: S_eq F)
qed
lemma borel_measurable_iff_halfspace_le:
fixes f :: "'a \<Rightarrow> 'c\<Colon>euclidean_space"
shows "f \<in> borel_measurable M = (\<forall>i\<in>Basis. \<forall>a. {w \<in> space M. f w \<bullet> i \<le> a} \<in> sets M)"
by (rule borel_measurable_halfspacesI[OF borel_eq_halfspace_le]) auto
lemma borel_measurable_iff_halfspace_less:
fixes f :: "'a \<Rightarrow> 'c\<Colon>euclidean_space"
shows "f \<in> borel_measurable M \<longleftrightarrow> (\<forall>i\<in>Basis. \<forall>a. {w \<in> space M. f w \<bullet> i < a} \<in> sets M)"
by (rule borel_measurable_halfspacesI[OF borel_eq_halfspace_less]) auto
lemma borel_measurable_iff_halfspace_ge:
fixes f :: "'a \<Rightarrow> 'c\<Colon>euclidean_space"
shows "f \<in> borel_measurable M = (\<forall>i\<in>Basis. \<forall>a. {w \<in> space M. a \<le> f w \<bullet> i} \<in> sets M)"
by (rule borel_measurable_halfspacesI[OF borel_eq_halfspace_ge]) auto
lemma borel_measurable_iff_halfspace_greater:
fixes f :: "'a \<Rightarrow> 'c\<Colon>euclidean_space"
shows "f \<in> borel_measurable M \<longleftrightarrow> (\<forall>i\<in>Basis. \<forall>a. {w \<in> space M. a < f w \<bullet> i} \<in> sets M)"
by (rule borel_measurable_halfspacesI[OF borel_eq_halfspace_greater]) auto
lemma borel_measurable_iff_le:
"(f::'a \<Rightarrow> real) \<in> borel_measurable M = (\<forall>a. {w \<in> space M. f w \<le> a} \<in> sets M)"
using borel_measurable_iff_halfspace_le[where 'c=real] by simp
lemma borel_measurable_iff_less:
"(f::'a \<Rightarrow> real) \<in> borel_measurable M = (\<forall>a. {w \<in> space M. f w < a} \<in> sets M)"
using borel_measurable_iff_halfspace_less[where 'c=real] by simp
lemma borel_measurable_iff_ge:
"(f::'a \<Rightarrow> real) \<in> borel_measurable M = (\<forall>a. {w \<in> space M. a \<le> f w} \<in> sets M)"
using borel_measurable_iff_halfspace_ge[where 'c=real]
by simp
lemma borel_measurable_iff_greater:
"(f::'a \<Rightarrow> real) \<in> borel_measurable M = (\<forall>a. {w \<in> space M. a < f w} \<in> sets M)"
using borel_measurable_iff_halfspace_greater[where 'c=real] by simp
lemma borel_measurable_euclidean_space:
fixes f :: "'a \<Rightarrow> 'c::euclidean_space"
shows "f \<in> borel_measurable M \<longleftrightarrow> (\<forall>i\<in>Basis. (\<lambda>x. f x \<bullet> i) \<in> borel_measurable M)"
proof safe
assume f: "\<forall>i\<in>Basis. (\<lambda>x. f x \<bullet> i) \<in> borel_measurable M"
then show "f \<in> borel_measurable M"
by (subst borel_measurable_iff_halfspace_le) auto
qed auto
subsection "Borel measurable operators"
lemma borel_measurable_uminus[measurable (raw)]:
fixes g :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_vector}"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. - g x) \<in> borel_measurable M"
by (rule borel_measurable_continuous_on[OF _ g]) (intro continuous_on_intros)
lemma borel_measurable_add[measurable (raw)]:
fixes f g :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_vector}"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. f x + g x) \<in> borel_measurable M"
using f g by (rule borel_measurable_continuous_Pair) (intro continuous_on_intros)
lemma borel_measurable_setsum[measurable (raw)]:
fixes f :: "'c \<Rightarrow> 'a \<Rightarrow> 'b::{second_countable_topology, real_normed_vector}"
assumes "\<And>i. i \<in> S \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. \<Sum>i\<in>S. f i x) \<in> borel_measurable M"
proof cases
assume "finite S"
thus ?thesis using assms by induct auto
qed simp
lemma borel_measurable_diff[measurable (raw)]:
fixes f :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_vector}"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. f x - g x) \<in> borel_measurable M"
unfolding diff_minus using assms by simp
lemma borel_measurable_times[measurable (raw)]:
fixes f :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_algebra}"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. f x * g x) \<in> borel_measurable M"
using f g by (rule borel_measurable_continuous_Pair) (intro continuous_on_intros)
lemma borel_measurable_setprod[measurable (raw)]:
fixes f :: "'c \<Rightarrow> 'a \<Rightarrow> 'b::{second_countable_topology, real_normed_field}"
assumes "\<And>i. i \<in> S \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. \<Prod>i\<in>S. f i x) \<in> borel_measurable M"
proof cases
assume "finite S"
thus ?thesis using assms by induct auto
qed simp
lemma borel_measurable_dist[measurable (raw)]:
fixes g f :: "'a \<Rightarrow> 'b::{second_countable_topology, metric_space}"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. dist (f x) (g x)) \<in> borel_measurable M"
using f g by (rule borel_measurable_continuous_Pair) (intro continuous_on_intros)
lemma borel_measurable_scaleR[measurable (raw)]:
fixes g :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_vector}"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
shows "(\<lambda>x. f x *\<^sub>R g x) \<in> borel_measurable M"
using f g by (rule borel_measurable_continuous_Pair) (intro continuous_on_intros)
lemma affine_borel_measurable_vector:
fixes f :: "'a \<Rightarrow> 'x::real_normed_vector"
assumes "f \<in> borel_measurable M"
shows "(\<lambda>x. a + b *\<^sub>R f x) \<in> borel_measurable M"
proof (rule borel_measurableI)
fix S :: "'x set" assume "open S"
show "(\<lambda>x. a + b *\<^sub>R f x) -` S \<inter> space M \<in> sets M"
proof cases
assume "b \<noteq> 0"
with `open S` have "open ((\<lambda>x. (- a + x) /\<^sub>R b) ` S)" (is "open ?S")
by (auto intro!: open_affinity simp: scaleR_add_right)
hence "?S \<in> sets borel" by auto
moreover
from `b \<noteq> 0` have "(\<lambda>x. a + b *\<^sub>R f x) -` S = f -` ?S"
apply auto by (rule_tac x="a + b *\<^sub>R f x" in image_eqI, simp_all)
ultimately show ?thesis using assms unfolding in_borel_measurable_borel
by auto
qed simp
qed
lemma borel_measurable_const_scaleR[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. b *\<^sub>R f x ::'a::real_normed_vector) \<in> borel_measurable M"
using affine_borel_measurable_vector[of f M 0 b] by simp
lemma borel_measurable_const_add[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. a + f x ::'a::real_normed_vector) \<in> borel_measurable M"
using affine_borel_measurable_vector[of f M a 1] by simp
lemma borel_measurable_inverse[measurable (raw)]:
fixes f :: "'a \<Rightarrow> 'b::{second_countable_topology, real_normed_div_algebra}"
assumes f: "f \<in> borel_measurable M"
shows "(\<lambda>x. inverse (f x)) \<in> borel_measurable M"
proof -
have "(\<lambda>x::'b. if x \<in> UNIV - {0} then inverse x else inverse 0) \<in> borel_measurable borel"
by (intro borel_measurable_continuous_on_open' continuous_on_intros) auto
also have "(\<lambda>x::'b. if x \<in> UNIV - {0} then inverse x else inverse 0) = inverse"
by (intro ext) auto
finally show ?thesis using f by simp
qed
lemma borel_measurable_divide[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> g \<in> borel_measurable M \<Longrightarrow>
(\<lambda>x. f x / g x::'b::{second_countable_topology, real_normed_field}) \<in> borel_measurable M"
by (simp add: field_divide_inverse)
lemma borel_measurable_max[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> g \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. max (g x) (f x) :: 'b::{second_countable_topology, inner_dense_linorder, linorder_topology}) \<in> borel_measurable M"
by (simp add: max_def)
lemma borel_measurable_min[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> g \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. min (g x) (f x) :: 'b::{second_countable_topology, inner_dense_linorder, linorder_topology}) \<in> borel_measurable M"
by (simp add: min_def)
lemma borel_measurable_abs[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. \<bar>f x :: real\<bar>) \<in> borel_measurable M"
unfolding abs_real_def by simp
lemma borel_measurable_nth[measurable (raw)]:
"(\<lambda>x::real^'n. x $ i) \<in> borel_measurable borel"
by (simp add: cart_eq_inner_axis)
lemma convex_measurable:
fixes A :: "'a :: ordered_euclidean_space set"
assumes X: "X \<in> borel_measurable M" "X ` space M \<subseteq> A" "open A"
assumes q: "convex_on A q"
shows "(\<lambda>x. q (X x)) \<in> borel_measurable M"
proof -
have "(\<lambda>x. if X x \<in> A then q (X x) else 0) \<in> borel_measurable M" (is "?qX")
proof (rule borel_measurable_continuous_on_open[OF _ _ X(1)])
show "open A" by fact
from this q show "continuous_on A q"
by (rule convex_on_continuous)
qed
also have "?qX \<longleftrightarrow> (\<lambda>x. q (X x)) \<in> borel_measurable M"
using X by (intro measurable_cong) auto
finally show ?thesis .
qed
lemma borel_measurable_ln[measurable (raw)]:
assumes f: "f \<in> borel_measurable M"
shows "(\<lambda>x. ln (f x)) \<in> borel_measurable M"
proof -
{ fix x :: real assume x: "x \<le> 0"
{ fix x::real assume "x \<le> 0" then have "\<And>u. exp u = x \<longleftrightarrow> False" by auto }
from this[of x] x this[of 0] have "ln 0 = ln x"
by (auto simp: ln_def) }
note ln_imp = this
have "(\<lambda>x. if f x \<in> {0<..} then ln (f x) else ln 0) \<in> borel_measurable M"
proof (rule borel_measurable_continuous_on_open[OF _ _ f])
show "continuous_on {0<..} ln"
by (auto intro!: continuous_at_imp_continuous_on DERIV_ln DERIV_isCont)
show "open ({0<..}::real set)" by auto
qed
also have "(\<lambda>x. if x \<in> {0<..} then ln x else ln 0) = ln"
by (simp add: fun_eq_iff not_less ln_imp)
finally show ?thesis .
qed
lemma borel_measurable_log[measurable (raw)]:
"f \<in> borel_measurable M \<Longrightarrow> g \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. log (g x) (f x)) \<in> borel_measurable M"
unfolding log_def by auto
lemma borel_measurable_exp[measurable]: "exp \<in> borel_measurable borel"
by (intro borel_measurable_continuous_on1 continuous_at_imp_continuous_on ballI isCont_exp)
lemma measurable_count_space_eq2_countable:
fixes f :: "'a => 'c::countable"
shows "f \<in> measurable M (count_space A) \<longleftrightarrow> (f \<in> space M \<rightarrow> A \<and> (\<forall>a\<in>A. f -` {a} \<inter> space M \<in> sets M))"
proof -
{ fix X assume "X \<subseteq> A" "f \<in> space M \<rightarrow> A"
then have "f -` X \<inter> space M = (\<Union>a\<in>X. f -` {a} \<inter> space M)"
by auto
moreover assume "\<And>a. a\<in>A \<Longrightarrow> f -` {a} \<inter> space M \<in> sets M"
ultimately have "f -` X \<inter> space M \<in> sets M"
using `X \<subseteq> A` by (simp add: subset_eq del: UN_simps) }
then show ?thesis
unfolding measurable_def by auto
qed
lemma measurable_real_floor[measurable]:
"(floor :: real \<Rightarrow> int) \<in> measurable borel (count_space UNIV)"
proof -
have "\<And>a x. \<lfloor>x\<rfloor> = a \<longleftrightarrow> (real a \<le> x \<and> x < real (a + 1))"
by (auto intro: floor_eq2)
then show ?thesis
by (auto simp: vimage_def measurable_count_space_eq2_countable)
qed
lemma measurable_real_natfloor[measurable]:
"(natfloor :: real \<Rightarrow> nat) \<in> measurable borel (count_space UNIV)"
by (simp add: natfloor_def[abs_def])
lemma measurable_real_ceiling[measurable]:
"(ceiling :: real \<Rightarrow> int) \<in> measurable borel (count_space UNIV)"
unfolding ceiling_def[abs_def] by simp
lemma borel_measurable_real_floor: "(\<lambda>x::real. real \<lfloor>x\<rfloor>) \<in> borel_measurable borel"
by simp
lemma borel_measurable_real_natfloor:
"f \<in> borel_measurable M \<Longrightarrow> (\<lambda>x. real (natfloor (f x))) \<in> borel_measurable M"
by simp
subsection "Borel space on the extended reals"
lemma borel_measurable_ereal[measurable (raw)]:
assumes f: "f \<in> borel_measurable M" shows "(\<lambda>x. ereal (f x)) \<in> borel_measurable M"
using continuous_on_ereal f by (rule borel_measurable_continuous_on)
lemma borel_measurable_real_of_ereal[measurable (raw)]:
fixes f :: "'a \<Rightarrow> ereal"
assumes f: "f \<in> borel_measurable M"
shows "(\<lambda>x. real (f x)) \<in> borel_measurable M"
proof -
have "(\<lambda>x. if f x \<in> UNIV - { \<infinity>, - \<infinity> } then real (f x) else 0) \<in> borel_measurable M"
using continuous_on_real
by (rule borel_measurable_continuous_on_open[OF _ _ f]) auto
also have "(\<lambda>x. if f x \<in> UNIV - { \<infinity>, - \<infinity> } then real (f x) else 0) = (\<lambda>x. real (f x))"
by auto
finally show ?thesis .
qed
lemma borel_measurable_ereal_cases:
fixes f :: "'a \<Rightarrow> ereal"
assumes f: "f \<in> borel_measurable M"
assumes H: "(\<lambda>x. H (ereal (real (f x)))) \<in> borel_measurable M"
shows "(\<lambda>x. H (f x)) \<in> borel_measurable M"
proof -
let ?F = "\<lambda>x. if f x = \<infinity> then H \<infinity> else if f x = - \<infinity> then H (-\<infinity>) else H (ereal (real (f x)))"
{ fix x have "H (f x) = ?F x" by (cases "f x") auto }
with f H show ?thesis by simp
qed
lemma
fixes f :: "'a \<Rightarrow> ereal" assumes f[measurable]: "f \<in> borel_measurable M"
shows borel_measurable_ereal_abs[measurable(raw)]: "(\<lambda>x. \<bar>f x\<bar>) \<in> borel_measurable M"
and borel_measurable_ereal_inverse[measurable(raw)]: "(\<lambda>x. inverse (f x) :: ereal) \<in> borel_measurable M"
and borel_measurable_uminus_ereal[measurable(raw)]: "(\<lambda>x. - f x :: ereal) \<in> borel_measurable M"
by (auto simp del: abs_real_of_ereal simp: borel_measurable_ereal_cases[OF f] measurable_If)
lemma borel_measurable_uminus_eq_ereal[simp]:
"(\<lambda>x. - f x :: ereal) \<in> borel_measurable M \<longleftrightarrow> f \<in> borel_measurable M" (is "?l = ?r")
proof
assume ?l from borel_measurable_uminus_ereal[OF this] show ?r by simp
qed auto
lemma set_Collect_ereal2:
fixes f g :: "'a \<Rightarrow> ereal"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
assumes H: "{x \<in> space M. H (ereal (real (f x))) (ereal (real (g x)))} \<in> sets M"
"{x \<in> space borel. H (-\<infinity>) (ereal x)} \<in> sets borel"
"{x \<in> space borel. H (\<infinity>) (ereal x)} \<in> sets borel"
"{x \<in> space borel. H (ereal x) (-\<infinity>)} \<in> sets borel"
"{x \<in> space borel. H (ereal x) (\<infinity>)} \<in> sets borel"
shows "{x \<in> space M. H (f x) (g x)} \<in> sets M"
proof -
let ?G = "\<lambda>y x. if g x = \<infinity> then H y \<infinity> else if g x = -\<infinity> then H y (-\<infinity>) else H y (ereal (real (g x)))"
let ?F = "\<lambda>x. if f x = \<infinity> then ?G \<infinity> x else if f x = -\<infinity> then ?G (-\<infinity>) x else ?G (ereal (real (f x))) x"
{ fix x have "H (f x) (g x) = ?F x" by (cases "f x" "g x" rule: ereal2_cases) auto }
note * = this
from assms show ?thesis
by (subst *) (simp del: space_borel split del: split_if)
qed
lemma borel_measurable_ereal_iff:
shows "(\<lambda>x. ereal (f x)) \<in> borel_measurable M \<longleftrightarrow> f \<in> borel_measurable M"
proof
assume "(\<lambda>x. ereal (f x)) \<in> borel_measurable M"
from borel_measurable_real_of_ereal[OF this]
show "f \<in> borel_measurable M" by auto
qed auto
lemma borel_measurable_ereal_iff_real:
fixes f :: "'a \<Rightarrow> ereal"
shows "f \<in> borel_measurable M \<longleftrightarrow>
((\<lambda>x. real (f x)) \<in> borel_measurable M \<and> f -` {\<infinity>} \<inter> space M \<in> sets M \<and> f -` {-\<infinity>} \<inter> space M \<in> sets M)"
proof safe
assume *: "(\<lambda>x. real (f x)) \<in> borel_measurable M" "f -` {\<infinity>} \<inter> space M \<in> sets M" "f -` {-\<infinity>} \<inter> space M \<in> sets M"
have "f -` {\<infinity>} \<inter> space M = {x\<in>space M. f x = \<infinity>}" "f -` {-\<infinity>} \<inter> space M = {x\<in>space M. f x = -\<infinity>}" by auto
with * have **: "{x\<in>space M. f x = \<infinity>} \<in> sets M" "{x\<in>space M. f x = -\<infinity>} \<in> sets M" by simp_all
let ?f = "\<lambda>x. if f x = \<infinity> then \<infinity> else if f x = -\<infinity> then -\<infinity> else ereal (real (f x))"
have "?f \<in> borel_measurable M" using * ** by (intro measurable_If) auto
also have "?f = f" by (auto simp: fun_eq_iff ereal_real)
finally show "f \<in> borel_measurable M" .
qed simp_all
lemma borel_measurable_eq_atMost_ereal:
fixes f :: "'a \<Rightarrow> ereal"
shows "f \<in> borel_measurable M \<longleftrightarrow> (\<forall>a. f -` {..a} \<inter> space M \<in> sets M)"
proof (intro iffI allI)
assume pos[rule_format]: "\<forall>a. f -` {..a} \<inter> space M \<in> sets M"
show "f \<in> borel_measurable M"
unfolding borel_measurable_ereal_iff_real borel_measurable_iff_le
proof (intro conjI allI)
fix a :: real
{ fix x :: ereal assume *: "\<forall>i::nat. real i < x"
have "x = \<infinity>"
proof (rule ereal_top)
fix B from reals_Archimedean2[of B] guess n ..
then have "ereal B < real n" by auto
with * show "B \<le> x" by (metis less_trans less_imp_le)
qed }
then have "f -` {\<infinity>} \<inter> space M = space M - (\<Union>i::nat. f -` {.. real i} \<inter> space M)"
by (auto simp: not_le)
then show "f -` {\<infinity>} \<inter> space M \<in> sets M" using pos
by (auto simp del: UN_simps)
moreover
have "{-\<infinity>::ereal} = {..-\<infinity>}" by auto
then show "f -` {-\<infinity>} \<inter> space M \<in> sets M" using pos by auto
moreover have "{x\<in>space M. f x \<le> ereal a} \<in> sets M"
using pos[of "ereal a"] by (simp add: vimage_def Int_def conj_commute)
moreover have "{w \<in> space M. real (f w) \<le> a} =
(if a < 0 then {w \<in> space M. f w \<le> ereal a} - f -` {-\<infinity>} \<inter> space M
else {w \<in> space M. f w \<le> ereal a} \<union> (f -` {\<infinity>} \<inter> space M) \<union> (f -` {-\<infinity>} \<inter> space M))" (is "?l = ?r")
proof (intro set_eqI) fix x show "x \<in> ?l \<longleftrightarrow> x \<in> ?r" by (cases "f x") auto qed
ultimately show "{w \<in> space M. real (f w) \<le> a} \<in> sets M" by auto
qed
qed (simp add: measurable_sets)
lemma borel_measurable_eq_atLeast_ereal:
"(f::'a \<Rightarrow> ereal) \<in> borel_measurable M \<longleftrightarrow> (\<forall>a. f -` {a..} \<inter> space M \<in> sets M)"
proof
assume pos: "\<forall>a. f -` {a..} \<inter> space M \<in> sets M"
moreover have "\<And>a. (\<lambda>x. - f x) -` {..a} = f -` {-a ..}"
by (auto simp: ereal_uminus_le_reorder)
ultimately have "(\<lambda>x. - f x) \<in> borel_measurable M"
unfolding borel_measurable_eq_atMost_ereal by auto
then show "f \<in> borel_measurable M" by simp
qed (simp add: measurable_sets)
lemma greater_eq_le_measurable:
fixes f :: "'a \<Rightarrow> 'c::linorder"
shows "f -` {..< a} \<inter> space M \<in> sets M \<longleftrightarrow> f -` {a ..} \<inter> space M \<in> sets M"
proof
assume "f -` {a ..} \<inter> space M \<in> sets M"
moreover have "f -` {..< a} \<inter> space M = space M - f -` {a ..} \<inter> space M" by auto
ultimately show "f -` {..< a} \<inter> space M \<in> sets M" by auto
next
assume "f -` {..< a} \<inter> space M \<in> sets M"
moreover have "f -` {a ..} \<inter> space M = space M - f -` {..< a} \<inter> space M" by auto
ultimately show "f -` {a ..} \<inter> space M \<in> sets M" by auto
qed
lemma borel_measurable_ereal_iff_less:
"(f::'a \<Rightarrow> ereal) \<in> borel_measurable M \<longleftrightarrow> (\<forall>a. f -` {..< a} \<inter> space M \<in> sets M)"
unfolding borel_measurable_eq_atLeast_ereal greater_eq_le_measurable ..
lemma less_eq_ge_measurable:
fixes f :: "'a \<Rightarrow> 'c::linorder"
shows "f -` {a <..} \<inter> space M \<in> sets M \<longleftrightarrow> f -` {..a} \<inter> space M \<in> sets M"
proof
assume "f -` {a <..} \<inter> space M \<in> sets M"
moreover have "f -` {..a} \<inter> space M = space M - f -` {a <..} \<inter> space M" by auto
ultimately show "f -` {..a} \<inter> space M \<in> sets M" by auto
next
assume "f -` {..a} \<inter> space M \<in> sets M"
moreover have "f -` {a <..} \<inter> space M = space M - f -` {..a} \<inter> space M" by auto
ultimately show "f -` {a <..} \<inter> space M \<in> sets M" by auto
qed
lemma borel_measurable_ereal_iff_ge:
"(f::'a \<Rightarrow> ereal) \<in> borel_measurable M \<longleftrightarrow> (\<forall>a. f -` {a <..} \<inter> space M \<in> sets M)"
unfolding borel_measurable_eq_atMost_ereal less_eq_ge_measurable ..
lemma borel_measurable_ereal2:
fixes f g :: "'a \<Rightarrow> ereal"
assumes f: "f \<in> borel_measurable M"
assumes g: "g \<in> borel_measurable M"
assumes H: "(\<lambda>x. H (ereal (real (f x))) (ereal (real (g x)))) \<in> borel_measurable M"
"(\<lambda>x. H (-\<infinity>) (ereal (real (g x)))) \<in> borel_measurable M"
"(\<lambda>x. H (\<infinity>) (ereal (real (g x)))) \<in> borel_measurable M"
"(\<lambda>x. H (ereal (real (f x))) (-\<infinity>)) \<in> borel_measurable M"
"(\<lambda>x. H (ereal (real (f x))) (\<infinity>)) \<in> borel_measurable M"
shows "(\<lambda>x. H (f x) (g x)) \<in> borel_measurable M"
proof -
let ?G = "\<lambda>y x. if g x = \<infinity> then H y \<infinity> else if g x = - \<infinity> then H y (-\<infinity>) else H y (ereal (real (g x)))"
let ?F = "\<lambda>x. if f x = \<infinity> then ?G \<infinity> x else if f x = - \<infinity> then ?G (-\<infinity>) x else ?G (ereal (real (f x))) x"
{ fix x have "H (f x) (g x) = ?F x" by (cases "f x" "g x" rule: ereal2_cases) auto }
note * = this
from assms show ?thesis unfolding * by simp
qed
lemma
fixes f :: "'a \<Rightarrow> ereal" assumes f: "f \<in> borel_measurable M"
shows borel_measurable_ereal_eq_const: "{x\<in>space M. f x = c} \<in> sets M"
and borel_measurable_ereal_neq_const: "{x\<in>space M. f x \<noteq> c} \<in> sets M"
using f by auto
lemma [measurable(raw)]:
fixes f :: "'a \<Rightarrow> ereal"
assumes [measurable]: "f \<in> borel_measurable M" "g \<in> borel_measurable M"
shows borel_measurable_ereal_add: "(\<lambda>x. f x + g x) \<in> borel_measurable M"
and borel_measurable_ereal_times: "(\<lambda>x. f x * g x) \<in> borel_measurable M"
and borel_measurable_ereal_min: "(\<lambda>x. min (g x) (f x)) \<in> borel_measurable M"
and borel_measurable_ereal_max: "(\<lambda>x. max (g x) (f x)) \<in> borel_measurable M"
by (simp_all add: borel_measurable_ereal2 min_def max_def)
lemma [measurable(raw)]:
fixes f g :: "'a \<Rightarrow> ereal"
assumes "f \<in> borel_measurable M"
assumes "g \<in> borel_measurable M"
shows borel_measurable_ereal_diff: "(\<lambda>x. f x - g x) \<in> borel_measurable M"
and borel_measurable_ereal_divide: "(\<lambda>x. f x / g x) \<in> borel_measurable M"
using assms by (simp_all add: minus_ereal_def divide_ereal_def)
lemma borel_measurable_ereal_setsum[measurable (raw)]:
fixes f :: "'c \<Rightarrow> 'a \<Rightarrow> ereal"
assumes "\<And>i. i \<in> S \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. \<Sum>i\<in>S. f i x) \<in> borel_measurable M"
proof cases
assume "finite S"
thus ?thesis using assms
by induct auto
qed simp
lemma borel_measurable_ereal_setprod[measurable (raw)]:
fixes f :: "'c \<Rightarrow> 'a \<Rightarrow> ereal"
assumes "\<And>i. i \<in> S \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. \<Prod>i\<in>S. f i x) \<in> borel_measurable M"
proof cases
assume "finite S"
thus ?thesis using assms by induct auto
qed simp
lemma borel_measurable_SUP[measurable (raw)]:
fixes f :: "'d\<Colon>countable \<Rightarrow> 'a \<Rightarrow> ereal"
assumes "\<And>i. i \<in> A \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. SUP i : A. f i x) \<in> borel_measurable M" (is "?sup \<in> borel_measurable M")
unfolding borel_measurable_ereal_iff_ge
proof
fix a
have "?sup -` {a<..} \<inter> space M = (\<Union>i\<in>A. {x\<in>space M. a < f i x})"
by (auto simp: less_SUP_iff)
then show "?sup -` {a<..} \<inter> space M \<in> sets M"
using assms by auto
qed
lemma borel_measurable_INF[measurable (raw)]:
fixes f :: "'d :: countable \<Rightarrow> 'a \<Rightarrow> ereal"
assumes "\<And>i. i \<in> A \<Longrightarrow> f i \<in> borel_measurable M"
shows "(\<lambda>x. INF i : A. f i x) \<in> borel_measurable M" (is "?inf \<in> borel_measurable M")
unfolding borel_measurable_ereal_iff_less
proof
fix a
have "?inf -` {..<a} \<inter> space M = (\<Union>i\<in>A. {x\<in>space M. f i x < a})"
by (auto simp: INF_less_iff)
then show "?inf -` {..<a} \<inter> space M \<in> sets M"
using assms by auto
qed
lemma [measurable (raw)]:
fixes f :: "nat \<Rightarrow> 'a \<Rightarrow> ereal"
assumes "\<And>i. f i \<in> borel_measurable M"
shows borel_measurable_liminf: "(\<lambda>x. liminf (\<lambda>i. f i x)) \<in> borel_measurable M"
and borel_measurable_limsup: "(\<lambda>x. limsup (\<lambda>i. f i x)) \<in> borel_measurable M"
unfolding liminf_SUPR_INFI limsup_INFI_SUPR using assms by auto
lemma sets_Collect_eventually_sequentially[measurable]:
"(\<And>i. {x\<in>space M. P x i} \<in> sets M) \<Longrightarrow> {x\<in>space M. eventually (P x) sequentially} \<in> sets M"
unfolding eventually_sequentially by simp
lemma sets_Collect_ereal_convergent[measurable]:
fixes f :: "nat \<Rightarrow> 'a => ereal"
assumes f[measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "{x\<in>space M. convergent (\<lambda>i. f i x)} \<in> sets M"
unfolding convergent_ereal by auto
lemma borel_measurable_extreal_lim[measurable (raw)]:
fixes f :: "nat \<Rightarrow> 'a \<Rightarrow> ereal"
assumes [measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "(\<lambda>x. lim (\<lambda>i. f i x)) \<in> borel_measurable M"
proof -
have "\<And>x. lim (\<lambda>i. f i x) = (if convergent (\<lambda>i. f i x) then limsup (\<lambda>i. f i x) else (THE i. False))"
by (simp add: lim_def convergent_def convergent_limsup_cl)
then show ?thesis
by simp
qed
lemma borel_measurable_ereal_LIMSEQ:
fixes u :: "nat \<Rightarrow> 'a \<Rightarrow> ereal"
assumes u': "\<And>x. x \<in> space M \<Longrightarrow> (\<lambda>i. u i x) ----> u' x"
and u: "\<And>i. u i \<in> borel_measurable M"
shows "u' \<in> borel_measurable M"
proof -
have "\<And>x. x \<in> space M \<Longrightarrow> u' x = liminf (\<lambda>n. u n x)"
using u' by (simp add: lim_imp_Liminf[symmetric])
with u show ?thesis by (simp cong: measurable_cong)
qed
lemma borel_measurable_extreal_suminf[measurable (raw)]:
fixes f :: "nat \<Rightarrow> 'a \<Rightarrow> ereal"
assumes [measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "(\<lambda>x. (\<Sum>i. f i x)) \<in> borel_measurable M"
unfolding suminf_def sums_def[abs_def] lim_def[symmetric] by simp
section "LIMSEQ is borel measurable"
lemma borel_measurable_LIMSEQ:
fixes u :: "nat \<Rightarrow> 'a \<Rightarrow> real"
assumes u': "\<And>x. x \<in> space M \<Longrightarrow> (\<lambda>i. u i x) ----> u' x"
and u: "\<And>i. u i \<in> borel_measurable M"
shows "u' \<in> borel_measurable M"
proof -
have "\<And>x. x \<in> space M \<Longrightarrow> liminf (\<lambda>n. ereal (u n x)) = ereal (u' x)"
using u' by (simp add: lim_imp_Liminf)
moreover from u have "(\<lambda>x. liminf (\<lambda>n. ereal (u n x))) \<in> borel_measurable M"
by auto
ultimately show ?thesis by (simp cong: measurable_cong add: borel_measurable_ereal_iff)
qed
lemma sets_Collect_Cauchy[measurable]:
fixes f :: "nat \<Rightarrow> 'a => real"
assumes f[measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "{x\<in>space M. Cauchy (\<lambda>i. f i x)} \<in> sets M"
unfolding Cauchy_iff2 using f by auto
lemma borel_measurable_lim[measurable (raw)]:
fixes f :: "nat \<Rightarrow> 'a \<Rightarrow> real"
assumes f[measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "(\<lambda>x. lim (\<lambda>i. f i x)) \<in> borel_measurable M"
proof -
def u' \<equiv> "\<lambda>x. lim (\<lambda>i. if Cauchy (\<lambda>i. f i x) then f i x else 0)"
then have *: "\<And>x. lim (\<lambda>i. f i x) = (if Cauchy (\<lambda>i. f i x) then u' x else (THE x. False))"
by (auto simp: lim_def convergent_eq_cauchy[symmetric])
have "u' \<in> borel_measurable M"
proof (rule borel_measurable_LIMSEQ)
fix x
have "convergent (\<lambda>i. if Cauchy (\<lambda>i. f i x) then f i x else 0)"
by (cases "Cauchy (\<lambda>i. f i x)")
(auto simp add: convergent_eq_cauchy[symmetric] convergent_def)
then show "(\<lambda>i. if Cauchy (\<lambda>i. f i x) then f i x else 0) ----> u' x"
unfolding u'_def
by (rule convergent_LIMSEQ_iff[THEN iffD1])
qed measurable
then show ?thesis
unfolding * by measurable
qed
lemma borel_measurable_suminf[measurable (raw)]:
fixes f :: "nat \<Rightarrow> 'a \<Rightarrow> real"
assumes f[measurable]: "\<And>i. f i \<in> borel_measurable M"
shows "(\<lambda>x. suminf (\<lambda>i. f i x)) \<in> borel_measurable M"
unfolding suminf_def sums_def[abs_def] lim_def[symmetric] by simp
end