(* Title: HOL/Analysis/Complete_Measure.thy
Author: Robert Himmelmann, Johannes Hoelzl, TU Muenchen
*)
theory Complete_Measure
imports Bochner_Integration
begin
locale complete_measure =
fixes M :: "'a measure"
assumes complete: "\<And>A B. B \<subseteq> A \<Longrightarrow> A \<in> null_sets M \<Longrightarrow> B \<in> sets M"
definition
"split_completion M A p = (if A \<in> sets M then p = (A, {}) else
\<exists>N'. A = fst p \<union> snd p \<and> fst p \<inter> snd p = {} \<and> fst p \<in> sets M \<and> snd p \<subseteq> N' \<and> N' \<in> null_sets M)"
definition
"main_part M A = fst (Eps (split_completion M A))"
definition
"null_part M A = snd (Eps (split_completion M A))"
definition completion :: "'a measure \<Rightarrow> 'a measure" where
"completion M = measure_of (space M) { S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' }
(emeasure M \<circ> main_part M)"
lemma completion_into_space:
"{ S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' } \<subseteq> Pow (space M)"
using sets.sets_into_space by auto
lemma space_completion[simp]: "space (completion M) = space M"
unfolding completion_def using space_measure_of[OF completion_into_space] by simp
lemma completionI:
assumes "A = S \<union> N" "N \<subseteq> N'" "N' \<in> null_sets M" "S \<in> sets M"
shows "A \<in> { S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' }"
using assms by auto
lemma completionE:
assumes "A \<in> { S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' }"
obtains S N N' where "A = S \<union> N" "N \<subseteq> N'" "N' \<in> null_sets M" "S \<in> sets M"
using assms by auto
lemma sigma_algebra_completion:
"sigma_algebra (space M) { S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' }"
(is "sigma_algebra _ ?A")
unfolding sigma_algebra_iff2
proof (intro conjI ballI allI impI)
show "?A \<subseteq> Pow (space M)"
using sets.sets_into_space by auto
next
show "{} \<in> ?A" by auto
next
let ?C = "space M"
fix A assume "A \<in> ?A" from completionE[OF this] guess S N N' .
then show "space M - A \<in> ?A"
by (intro completionI[of _ "(?C - S) \<inter> (?C - N')" "(?C - S) \<inter> N' \<inter> (?C - N)"]) auto
next
fix A :: "nat \<Rightarrow> 'a set" assume A: "range A \<subseteq> ?A"
then have "\<forall>n. \<exists>S N N'. A n = S \<union> N \<and> S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N'"
by (auto simp: image_subset_iff)
from choice[OF this] guess S ..
from choice[OF this] guess N ..
from choice[OF this] guess N' ..
then show "UNION UNIV A \<in> ?A"
using null_sets_UN[of N']
by (intro completionI[of _ "UNION UNIV S" "UNION UNIV N" "UNION UNIV N'"]) auto
qed
lemma sets_completion:
"sets (completion M) = { S \<union> N |S N N'. S \<in> sets M \<and> N' \<in> null_sets M \<and> N \<subseteq> N' }"
using sigma_algebra.sets_measure_of_eq[OF sigma_algebra_completion] by (simp add: completion_def)
lemma sets_completionE:
assumes "A \<in> sets (completion M)"
obtains S N N' where "A = S \<union> N" "N \<subseteq> N'" "N' \<in> null_sets M" "S \<in> sets M"
using assms unfolding sets_completion by auto
lemma sets_completionI:
assumes "A = S \<union> N" "N \<subseteq> N'" "N' \<in> null_sets M" "S \<in> sets M"
shows "A \<in> sets (completion M)"
using assms unfolding sets_completion by auto
lemma sets_completionI_sets[intro, simp]:
"A \<in> sets M \<Longrightarrow> A \<in> sets (completion M)"
unfolding sets_completion by force
lemma measurable_completion: "f \<in> M \<rightarrow>\<^sub>M N \<Longrightarrow> f \<in> completion M \<rightarrow>\<^sub>M N"
by (auto simp: measurable_def)
lemma null_sets_completion:
assumes "N' \<in> null_sets M" "N \<subseteq> N'" shows "N \<in> sets (completion M)"
using assms by (intro sets_completionI[of N "{}" N N']) auto
lemma split_completion:
assumes "A \<in> sets (completion M)"
shows "split_completion M A (main_part M A, null_part M A)"
proof cases
assume "A \<in> sets M" then show ?thesis
by (simp add: split_completion_def[abs_def] main_part_def null_part_def)
next
assume nA: "A \<notin> sets M"
show ?thesis
unfolding main_part_def null_part_def if_not_P[OF nA]
proof (rule someI2_ex)
from assms[THEN sets_completionE] guess S N N' . note A = this
let ?P = "(S, N - S)"
show "\<exists>p. split_completion M A p"
unfolding split_completion_def if_not_P[OF nA] using A
proof (intro exI conjI)
show "A = fst ?P \<union> snd ?P" using A by auto
show "snd ?P \<subseteq> N'" using A by auto
qed auto
qed auto
qed
lemma sets_restrict_space_subset:
assumes S: "S \<in> sets (completion M)"
shows "sets (restrict_space (completion M) S) \<subseteq> sets (completion M)"
by (metis assms sets.Int_space_eq2 sets_restrict_space_iff subsetI)
lemma
assumes "S \<in> sets (completion M)"
shows main_part_sets[intro, simp]: "main_part M S \<in> sets M"
and main_part_null_part_Un[simp]: "main_part M S \<union> null_part M S = S"
and main_part_null_part_Int[simp]: "main_part M S \<inter> null_part M S = {}"
using split_completion[OF assms]
by (auto simp: split_completion_def split: if_split_asm)
lemma main_part[simp]: "S \<in> sets M \<Longrightarrow> main_part M S = S"
using split_completion[of S M]
by (auto simp: split_completion_def split: if_split_asm)
lemma null_part:
assumes "S \<in> sets (completion M)" shows "\<exists>N. N\<in>null_sets M \<and> null_part M S \<subseteq> N"
using split_completion[OF assms] by (auto simp: split_completion_def split: if_split_asm)
lemma null_part_sets[intro, simp]:
assumes "S \<in> sets M" shows "null_part M S \<in> sets M" "emeasure M (null_part M S) = 0"
proof -
have S: "S \<in> sets (completion M)" using assms by auto
have "S - main_part M S \<in> sets M" using assms by auto
moreover
from main_part_null_part_Un[OF S] main_part_null_part_Int[OF S]
have "S - main_part M S = null_part M S" by auto
ultimately show sets: "null_part M S \<in> sets M" by auto
from null_part[OF S] guess N ..
with emeasure_eq_0[of N _ "null_part M S"] sets
show "emeasure M (null_part M S) = 0" by auto
qed
lemma emeasure_main_part_UN:
fixes S :: "nat \<Rightarrow> 'a set"
assumes "range S \<subseteq> sets (completion M)"
shows "emeasure M (main_part M (\<Union>i. (S i))) = emeasure M (\<Union>i. main_part M (S i))"
proof -
have S: "\<And>i. S i \<in> sets (completion M)" using assms by auto
then have UN: "(\<Union>i. S i) \<in> sets (completion M)" by auto
have "\<forall>i. \<exists>N. N \<in> null_sets M \<and> null_part M (S i) \<subseteq> N"
using null_part[OF S] by auto
from choice[OF this] guess N .. note N = this
then have UN_N: "(\<Union>i. N i) \<in> null_sets M" by (intro null_sets_UN) auto
have "(\<Union>i. S i) \<in> sets (completion M)" using S by auto
from null_part[OF this] guess N' .. note N' = this
let ?N = "(\<Union>i. N i) \<union> N'"
have null_set: "?N \<in> null_sets M" using N' UN_N by (intro null_sets.Un) auto
have "main_part M (\<Union>i. S i) \<union> ?N = (main_part M (\<Union>i. S i) \<union> null_part M (\<Union>i. S i)) \<union> ?N"
using N' by auto
also have "\<dots> = (\<Union>i. main_part M (S i) \<union> null_part M (S i)) \<union> ?N"
unfolding main_part_null_part_Un[OF S] main_part_null_part_Un[OF UN] by auto
also have "\<dots> = (\<Union>i. main_part M (S i)) \<union> ?N"
using N by auto
finally have *: "main_part M (\<Union>i. S i) \<union> ?N = (\<Union>i. main_part M (S i)) \<union> ?N" .
have "emeasure M (main_part M (\<Union>i. S i)) = emeasure M (main_part M (\<Union>i. S i) \<union> ?N)"
using null_set UN by (intro emeasure_Un_null_set[symmetric]) auto
also have "\<dots> = emeasure M ((\<Union>i. main_part M (S i)) \<union> ?N)"
unfolding * ..
also have "\<dots> = emeasure M (\<Union>i. main_part M (S i))"
using null_set S by (intro emeasure_Un_null_set) auto
finally show ?thesis .
qed
lemma emeasure_completion[simp]:
assumes S: "S \<in> sets (completion M)" shows "emeasure (completion M) S = emeasure M (main_part M S)"
proof (subst emeasure_measure_of[OF completion_def completion_into_space])
let ?\<mu> = "emeasure M \<circ> main_part M"
show "S \<in> sets (completion M)" "?\<mu> S = emeasure M (main_part M S) " using S by simp_all
show "positive (sets (completion M)) ?\<mu>"
by (simp add: positive_def)
show "countably_additive (sets (completion M)) ?\<mu>"
proof (intro countably_additiveI)
fix A :: "nat \<Rightarrow> 'a set" assume A: "range A \<subseteq> sets (completion M)" "disjoint_family A"
have "disjoint_family (\<lambda>i. main_part M (A i))"
proof (intro disjoint_family_on_bisimulation[OF A(2)])
fix n m assume "A n \<inter> A m = {}"
then have "(main_part M (A n) \<union> null_part M (A n)) \<inter> (main_part M (A m) \<union> null_part M (A m)) = {}"
using A by (subst (1 2) main_part_null_part_Un) auto
then show "main_part M (A n) \<inter> main_part M (A m) = {}" by auto
qed
then have "(\<Sum>n. emeasure M (main_part M (A n))) = emeasure M (\<Union>i. main_part M (A i))"
using A by (auto intro!: suminf_emeasure)
then show "(\<Sum>n. ?\<mu> (A n)) = ?\<mu> (UNION UNIV A)"
by (simp add: completion_def emeasure_main_part_UN[OF A(1)])
qed
qed
lemma measure_completion[simp]: "S \<in> sets M \<Longrightarrow> measure (completion M) S = measure M S"
unfolding measure_def by auto
lemma emeasure_completion_UN:
"range S \<subseteq> sets (completion M) \<Longrightarrow>
emeasure (completion M) (\<Union>i::nat. (S i)) = emeasure M (\<Union>i. main_part M (S i))"
by (subst emeasure_completion) (auto simp add: emeasure_main_part_UN)
lemma emeasure_completion_Un:
assumes S: "S \<in> sets (completion M)" and T: "T \<in> sets (completion M)"
shows "emeasure (completion M) (S \<union> T) = emeasure M (main_part M S \<union> main_part M T)"
proof (subst emeasure_completion)
have UN: "(\<Union>i. binary (main_part M S) (main_part M T) i) = (\<Union>i. main_part M (binary S T i))"
unfolding binary_def by (auto split: if_split_asm)
show "emeasure M (main_part M (S \<union> T)) = emeasure M (main_part M S \<union> main_part M T)"
using emeasure_main_part_UN[of "binary S T" M] assms
by (simp add: range_binary_eq, simp add: Un_range_binary UN)
qed (auto intro: S T)
lemma sets_completionI_sub:
assumes N: "N' \<in> null_sets M" "N \<subseteq> N'"
shows "N \<in> sets (completion M)"
using assms by (intro sets_completionI[of _ "{}" N N']) auto
lemma completion_ex_simple_function:
assumes f: "simple_function (completion M) f"
shows "\<exists>f'. simple_function M f' \<and> (AE x in M. f x = f' x)"
proof -
let ?F = "\<lambda>x. f -` {x} \<inter> space M"
have F: "\<And>x. ?F x \<in> sets (completion M)" and fin: "finite (f`space M)"
using simple_functionD[OF f] simple_functionD[OF f] by simp_all
have "\<forall>x. \<exists>N. N \<in> null_sets M \<and> null_part M (?F x) \<subseteq> N"
using F null_part by auto
from choice[OF this] obtain N where
N: "\<And>x. null_part M (?F x) \<subseteq> N x" "\<And>x. N x \<in> null_sets M" by auto
let ?N = "\<Union>x\<in>f`space M. N x"
let ?f' = "\<lambda>x. if x \<in> ?N then undefined else f x"
have sets: "?N \<in> null_sets M" using N fin by (intro null_sets.finite_UN) auto
show ?thesis unfolding simple_function_def
proof (safe intro!: exI[of _ ?f'])
have "?f' ` space M \<subseteq> f`space M \<union> {undefined}" by auto
from finite_subset[OF this] simple_functionD(1)[OF f]
show "finite (?f' ` space M)" by auto
next
fix x assume "x \<in> space M"
have "?f' -` {?f' x} \<inter> space M =
(if x \<in> ?N then ?F undefined \<union> ?N
else if f x = undefined then ?F (f x) \<union> ?N
else ?F (f x) - ?N)"
using N(2) sets.sets_into_space by (auto split: if_split_asm simp: null_sets_def)
moreover { fix y have "?F y \<union> ?N \<in> sets M"
proof cases
assume y: "y \<in> f`space M"
have "?F y \<union> ?N = (main_part M (?F y) \<union> null_part M (?F y)) \<union> ?N"
using main_part_null_part_Un[OF F] by auto
also have "\<dots> = main_part M (?F y) \<union> ?N"
using y N by auto
finally show ?thesis
using F sets by auto
next
assume "y \<notin> f`space M" then have "?F y = {}" by auto
then show ?thesis using sets by auto
qed }
moreover {
have "?F (f x) - ?N = main_part M (?F (f x)) \<union> null_part M (?F (f x)) - ?N"
using main_part_null_part_Un[OF F] by auto
also have "\<dots> = main_part M (?F (f x)) - ?N"
using N \<open>x \<in> space M\<close> by auto
finally have "?F (f x) - ?N \<in> sets M"
using F sets by auto }
ultimately show "?f' -` {?f' x} \<inter> space M \<in> sets M" by auto
next
show "AE x in M. f x = ?f' x"
by (rule AE_I', rule sets) auto
qed
qed
lemma completion_ex_borel_measurable:
fixes g :: "'a \<Rightarrow> ennreal"
assumes g: "g \<in> borel_measurable (completion M)"
shows "\<exists>g'\<in>borel_measurable M. (AE x in M. g x = g' x)"
proof -
from g[THEN borel_measurable_implies_simple_function_sequence'] guess f . note f = this
from this(1)[THEN completion_ex_simple_function]
have "\<forall>i. \<exists>f'. simple_function M f' \<and> (AE x in M. f i x = f' x)" ..
from this[THEN choice] obtain f' where
sf: "\<And>i. simple_function M (f' i)" and
AE: "\<forall>i. AE x in M. f i x = f' i x" by auto
show ?thesis
proof (intro bexI)
from AE[unfolded AE_all_countable[symmetric]]
show "AE x in M. g x = (SUP i. f' i x)" (is "AE x in M. g x = ?f x")
proof (elim AE_mp, safe intro!: AE_I2)
fix x assume eq: "\<forall>i. f i x = f' i x"
moreover have "g x = (SUP i. f i x)"
unfolding f by (auto split: split_max)
ultimately show "g x = ?f x" by auto
qed
show "?f \<in> borel_measurable M"
using sf[THEN borel_measurable_simple_function] by auto
qed
qed
lemma null_sets_completionI: "N \<in> null_sets M \<Longrightarrow> N \<in> null_sets (completion M)"
by (auto simp: null_sets_def)
lemma AE_completion: "(AE x in M. P x) \<Longrightarrow> (AE x in completion M. P x)"
unfolding eventually_ae_filter by (auto intro: null_sets_completionI)
lemma null_sets_completion_iff: "N \<in> sets M \<Longrightarrow> N \<in> null_sets (completion M) \<longleftrightarrow> N \<in> null_sets M"
by (auto simp: null_sets_def)
lemma sets_completion_AE: "(AE x in M. \<not> P x) \<Longrightarrow> Measurable.pred (completion M) P"
unfolding pred_def sets_completion eventually_ae_filter
by auto
lemma null_sets_completion_iff2:
"A \<in> null_sets (completion M) \<longleftrightarrow> (\<exists>N'\<in>null_sets M. A \<subseteq> N')"
proof safe
assume "A \<in> null_sets (completion M)"
then have A: "A \<in> sets (completion M)" and "main_part M A \<in> null_sets M"
by (auto simp: null_sets_def)
moreover obtain N where "N \<in> null_sets M" "null_part M A \<subseteq> N"
using null_part[OF A] by auto
ultimately show "\<exists>N'\<in>null_sets M. A \<subseteq> N'"
proof (intro bexI)
show "A \<subseteq> N \<union> main_part M A"
using \<open>null_part M A \<subseteq> N\<close> by (subst main_part_null_part_Un[OF A, symmetric]) auto
qed auto
next
fix N assume "N \<in> null_sets M" "A \<subseteq> N"
then have "A \<in> sets (completion M)" and N: "N \<in> sets M" "A \<subseteq> N" "emeasure M N = 0"
by (auto intro: null_sets_completion)
moreover have "emeasure (completion M) A = 0"
using N by (intro emeasure_eq_0[of N _ A]) auto
ultimately show "A \<in> null_sets (completion M)"
by auto
qed
lemma null_sets_completion_subset:
"B \<subseteq> A \<Longrightarrow> A \<in> null_sets (completion M) \<Longrightarrow> B \<in> null_sets (completion M)"
unfolding null_sets_completion_iff2 by auto
interpretation completion: complete_measure "completion M" for M
proof
show "B \<subseteq> A \<Longrightarrow> A \<in> null_sets (completion M) \<Longrightarrow> B \<in> sets (completion M)" for B A
using null_sets_completion_subset[of B A M] by (simp add: null_sets_def)
qed
lemma null_sets_restrict_space:
"\<Omega> \<in> sets M \<Longrightarrow> A \<in> null_sets (restrict_space M \<Omega>) \<longleftrightarrow> A \<subseteq> \<Omega> \<and> A \<in> null_sets M"
by (auto simp: null_sets_def emeasure_restrict_space sets_restrict_space)
lemma completion_ex_borel_measurable_real:
fixes g :: "'a \<Rightarrow> real"
assumes g: "g \<in> borel_measurable (completion M)"
shows "\<exists>g'\<in>borel_measurable M. (AE x in M. g x = g' x)"
proof -
have "(\<lambda>x. ennreal (g x)) \<in> completion M \<rightarrow>\<^sub>M borel" "(\<lambda>x. ennreal (- g x)) \<in> completion M \<rightarrow>\<^sub>M borel"
using g by auto
from this[THEN completion_ex_borel_measurable]
obtain pf nf :: "'a \<Rightarrow> ennreal"
where [measurable]: "nf \<in> M \<rightarrow>\<^sub>M borel" "pf \<in> M \<rightarrow>\<^sub>M borel"
and ae: "AE x in M. pf x = ennreal (g x)" "AE x in M. nf x = ennreal (- g x)"
by (auto simp: eq_commute)
then have "AE x in M. pf x = ennreal (g x) \<and> nf x = ennreal (- g x)"
by auto
then obtain N where "N \<in> null_sets M" "{x\<in>space M. pf x \<noteq> ennreal (g x) \<and> nf x \<noteq> ennreal (- g x)} \<subseteq> N"
by (auto elim!: AE_E)
show ?thesis
proof
let ?F = "\<lambda>x. indicator (space M - N) x * (enn2real (pf x) - enn2real (nf x))"
show "?F \<in> M \<rightarrow>\<^sub>M borel"
using \<open>N \<in> null_sets M\<close> by auto
show "AE x in M. g x = ?F x"
using \<open>N \<in> null_sets M\<close>[THEN AE_not_in] ae AE_space
apply eventually_elim
subgoal for x
by (cases "0::real" "g x" rule: linorder_le_cases) (auto simp: ennreal_neg)
done
qed
qed
lemma simple_function_completion: "simple_function M f \<Longrightarrow> simple_function (completion M) f"
by (simp add: simple_function_def)
lemma simple_integral_completion:
"simple_function M f \<Longrightarrow> simple_integral (completion M) f = simple_integral M f"
unfolding simple_integral_def by simp
lemma nn_integral_completion: "nn_integral (completion M) f = nn_integral M f"
unfolding nn_integral_def
proof (safe intro!: SUP_eq)
fix s assume s: "simple_function (completion M) s" and "s \<le> f"
then obtain s' where s': "simple_function M s'" "AE x in M. s x = s' x"
by (auto dest: completion_ex_simple_function)
then obtain N where N: "N \<in> null_sets M" "{x\<in>space M. s x \<noteq> s' x} \<subseteq> N"
by (auto elim!: AE_E)
then have ae_N: "AE x in M. (s x \<noteq> s' x \<longrightarrow> x \<in> N) \<and> x \<notin> N"
by (auto dest: AE_not_in)
define s'' where "s'' x = (if x \<in> N then 0 else s x)" for x
then have ae_s_eq_s'': "AE x in completion M. s x = s'' x"
using s' ae_N by (intro AE_completion) auto
have s'': "simple_function M s''"
proof (subst simple_function_cong)
show "t \<in> space M \<Longrightarrow> s'' t = (if t \<in> N then 0 else s' t)" for t
using N by (auto simp: s''_def dest: sets.sets_into_space)
show "simple_function M (\<lambda>t. if t \<in> N then 0 else s' t)"
unfolding s''_def[abs_def] using N by (auto intro!: simple_function_If s')
qed
show "\<exists>j\<in>{g. simple_function M g \<and> g \<le> f}. integral\<^sup>S (completion M) s \<le> integral\<^sup>S M j"
proof (safe intro!: bexI[of _ s''])
have "integral\<^sup>S (completion M) s = integral\<^sup>S (completion M) s''"
by (intro simple_integral_cong_AE s simple_function_completion s'' ae_s_eq_s'')
then show "integral\<^sup>S (completion M) s \<le> integral\<^sup>S M s''"
using s'' by (simp add: simple_integral_completion)
from \<open>s \<le> f\<close> show "s'' \<le> f"
unfolding s''_def le_fun_def by auto
qed fact
next
fix s assume "simple_function M s" "s \<le> f"
then show "\<exists>j\<in>{g. simple_function (completion M) g \<and> g \<le> f}. integral\<^sup>S M s \<le> integral\<^sup>S (completion M) j"
by (intro bexI[of _ s]) (auto simp: simple_integral_completion simple_function_completion)
qed
lemma integrable_completion:
fixes f :: "'a \<Rightarrow> 'b::{banach, second_countable_topology}"
shows "f \<in> M \<rightarrow>\<^sub>M borel \<Longrightarrow> integrable (completion M) f \<longleftrightarrow> integrable M f"
by (rule integrable_subalgebra[symmetric]) auto
lemma integral_completion:
fixes f :: "'a \<Rightarrow> 'b::{banach, second_countable_topology}"
assumes f: "f \<in> M \<rightarrow>\<^sub>M borel" shows "integral\<^sup>L (completion M) f = integral\<^sup>L M f"
by (rule integral_subalgebra[symmetric]) (auto intro: f)
locale semifinite_measure =
fixes M :: "'a measure"
assumes semifinite:
"\<And>A. A \<in> sets M \<Longrightarrow> emeasure M A = \<infinity> \<Longrightarrow> \<exists>B\<in>sets M. B \<subseteq> A \<and> emeasure M B < \<infinity>"
locale locally_determined_measure = semifinite_measure +
assumes locally_determined:
"\<And>A. A \<subseteq> space M \<Longrightarrow> (\<And>B. B \<in> sets M \<Longrightarrow> emeasure M B < \<infinity> \<Longrightarrow> A \<inter> B \<in> sets M) \<Longrightarrow> A \<in> sets M"
locale cld_measure = complete_measure M + locally_determined_measure M for M :: "'a measure"
definition outer_measure_of :: "'a measure \<Rightarrow> 'a set \<Rightarrow> ennreal"
where "outer_measure_of M A = (INF B : {B\<in>sets M. A \<subseteq> B}. emeasure M B)"
lemma outer_measure_of_eq[simp]: "A \<in> sets M \<Longrightarrow> outer_measure_of M A = emeasure M A"
by (auto simp: outer_measure_of_def intro!: INF_eqI emeasure_mono)
lemma outer_measure_of_mono: "A \<subseteq> B \<Longrightarrow> outer_measure_of M A \<le> outer_measure_of M B"
unfolding outer_measure_of_def by (intro INF_superset_mono) auto
lemma outer_measure_of_attain:
assumes "A \<subseteq> space M"
shows "\<exists>E\<in>sets M. A \<subseteq> E \<and> outer_measure_of M A = emeasure M E"
proof -
have "emeasure M ` {B \<in> sets M. A \<subseteq> B} \<noteq> {}"
using \<open>A \<subseteq> space M\<close> by auto
from ennreal_Inf_countable_INF[OF this]
obtain f
where f: "range f \<subseteq> emeasure M ` {B \<in> sets M. A \<subseteq> B}" "decseq f"
and "outer_measure_of M A = (INF i. f i)"
unfolding outer_measure_of_def by auto
have "\<exists>E. \<forall>n. (E n \<in> sets M \<and> A \<subseteq> E n \<and> emeasure M (E n) \<le> f n) \<and> E (Suc n) \<subseteq> E n"
proof (rule dependent_nat_choice)
show "\<exists>x. x \<in> sets M \<and> A \<subseteq> x \<and> emeasure M x \<le> f 0"
using f(1) by (fastforce simp: image_subset_iff image_iff intro: eq_refl[OF sym])
next
fix E n assume "E \<in> sets M \<and> A \<subseteq> E \<and> emeasure M E \<le> f n"
moreover obtain F where "F \<in> sets M" "A \<subseteq> F" "f (Suc n) = emeasure M F"
using f(1) by (auto simp: image_subset_iff image_iff)
ultimately show "\<exists>y. (y \<in> sets M \<and> A \<subseteq> y \<and> emeasure M y \<le> f (Suc n)) \<and> y \<subseteq> E"
by (auto intro!: exI[of _ "F \<inter> E"] emeasure_mono)
qed
then obtain E
where [simp]: "\<And>n. E n \<in> sets M"
and "\<And>n. A \<subseteq> E n"
and le_f: "\<And>n. emeasure M (E n) \<le> f n"
and "decseq E"
by (auto simp: decseq_Suc_iff)
show ?thesis
proof cases
assume fin: "\<exists>i. emeasure M (E i) < \<infinity>"
show ?thesis
proof (intro bexI[of _ "\<Inter>i. E i"] conjI)
show "A \<subseteq> (\<Inter>i. E i)" "(\<Inter>i. E i) \<in> sets M"
using \<open>\<And>n. A \<subseteq> E n\<close> by auto
have " (INF i. emeasure M (E i)) \<le> outer_measure_of M A"
unfolding \<open>outer_measure_of M A = (INF n. f n)\<close>
by (intro INF_superset_mono le_f) auto
moreover have "outer_measure_of M A \<le> (INF i. outer_measure_of M (E i))"
by (intro INF_greatest outer_measure_of_mono \<open>\<And>n. A \<subseteq> E n\<close>)
ultimately have "outer_measure_of M A = (INF i. emeasure M (E i))"
by auto
also have "\<dots> = emeasure M (\<Inter>i. E i)"
using fin by (intro INF_emeasure_decseq' \<open>decseq E\<close>) (auto simp: less_top)
finally show "outer_measure_of M A = emeasure M (\<Inter>i. E i)" .
qed
next
assume "\<nexists>i. emeasure M (E i) < \<infinity>"
then have "f n = \<infinity>" for n
using le_f by (auto simp: not_less top_unique)
moreover have "\<exists>E\<in>sets M. A \<subseteq> E \<and> f 0 = emeasure M E"
using f by auto
ultimately show ?thesis
unfolding \<open>outer_measure_of M A = (INF n. f n)\<close> by simp
qed
qed
lemma SUP_outer_measure_of_incseq:
assumes A: "\<And>n. A n \<subseteq> space M" and "incseq A"
shows "(SUP n. outer_measure_of M (A n)) = outer_measure_of M (\<Union>i. A i)"
proof (rule antisym)
obtain E
where E: "\<And>n. E n \<in> sets M" "\<And>n. A n \<subseteq> E n" "\<And>n. outer_measure_of M (A n) = emeasure M (E n)"
using outer_measure_of_attain[OF A] by metis
define F where "F n = (\<Inter>i\<in>{n ..}. E i)" for n
with E have F: "incseq F" "\<And>n. F n \<in> sets M"
by (auto simp: incseq_def)
have "A n \<subseteq> F n" for n
using incseqD[OF \<open>incseq A\<close>, of n] \<open>\<And>n. A n \<subseteq> E n\<close> by (auto simp: F_def)
have eq: "outer_measure_of M (A n) = outer_measure_of M (F n)" for n
proof (intro antisym)
have "outer_measure_of M (F n) \<le> outer_measure_of M (E n)"
by (intro outer_measure_of_mono) (auto simp add: F_def)
with E show "outer_measure_of M (F n) \<le> outer_measure_of M (A n)"
by auto
show "outer_measure_of M (A n) \<le> outer_measure_of M (F n)"
by (intro outer_measure_of_mono \<open>A n \<subseteq> F n\<close>)
qed
have "outer_measure_of M (\<Union>n. A n) \<le> outer_measure_of M (\<Union>n. F n)"
using \<open>\<And>n. A n \<subseteq> F n\<close> by (intro outer_measure_of_mono) auto
also have "\<dots> = (SUP n. emeasure M (F n))"
using F by (simp add: SUP_emeasure_incseq subset_eq)
finally show "outer_measure_of M (\<Union>n. A n) \<le> (SUP n. outer_measure_of M (A n))"
by (simp add: eq F)
qed (auto intro: SUP_least outer_measure_of_mono)
definition measurable_envelope :: "'a measure \<Rightarrow> 'a set \<Rightarrow> 'a set \<Rightarrow> bool"
where "measurable_envelope M A E \<longleftrightarrow>
(A \<subseteq> E \<and> E \<in> sets M \<and> (\<forall>F\<in>sets M. emeasure M (F \<inter> E) = outer_measure_of M (F \<inter> A)))"
lemma measurable_envelopeD:
assumes "measurable_envelope M A E"
shows "A \<subseteq> E"
and "E \<in> sets M"
and "\<And>F. F \<in> sets M \<Longrightarrow> emeasure M (F \<inter> E) = outer_measure_of M (F \<inter> A)"
and "A \<subseteq> space M"
using assms sets.sets_into_space[of E] by (auto simp: measurable_envelope_def)
lemma measurable_envelopeD1:
assumes E: "measurable_envelope M A E" and F: "F \<in> sets M" "F \<subseteq> E - A"
shows "emeasure M F = 0"
proof -
have "emeasure M F = emeasure M (F \<inter> E)"
using F by (intro arg_cong2[where f=emeasure]) auto
also have "\<dots> = outer_measure_of M (F \<inter> A)"
using measurable_envelopeD[OF E] \<open>F \<in> sets M\<close> by (auto simp: measurable_envelope_def)
also have "\<dots> = outer_measure_of M {}"
using \<open>F \<subseteq> E - A\<close> by (intro arg_cong2[where f=outer_measure_of]) auto
finally show "emeasure M F = 0"
by simp
qed
lemma measurable_envelope_eq1:
assumes "A \<subseteq> E" "E \<in> sets M"
shows "measurable_envelope M A E \<longleftrightarrow> (\<forall>F\<in>sets M. F \<subseteq> E - A \<longrightarrow> emeasure M F = 0)"
proof safe
assume *: "\<forall>F\<in>sets M. F \<subseteq> E - A \<longrightarrow> emeasure M F = 0"
show "measurable_envelope M A E"
unfolding measurable_envelope_def
proof (rule ccontr, auto simp add: \<open>E \<in> sets M\<close> \<open>A \<subseteq> E\<close>)
fix F assume "F \<in> sets M" "emeasure M (F \<inter> E) \<noteq> outer_measure_of M (F \<inter> A)"
then have "outer_measure_of M (F \<inter> A) < emeasure M (F \<inter> E)"
using outer_measure_of_mono[of "F \<inter> A" "F \<inter> E" M] \<open>A \<subseteq> E\<close> \<open>E \<in> sets M\<close> by (auto simp: less_le)
then obtain G where G: "G \<in> sets M" "F \<inter> A \<subseteq> G" and less: "emeasure M G < emeasure M (E \<inter> F)"
unfolding outer_measure_of_def INF_less_iff by (auto simp: ac_simps)
have le: "emeasure M (G \<inter> E \<inter> F) \<le> emeasure M G"
using \<open>E \<in> sets M\<close> \<open>G \<in> sets M\<close> \<open>F \<in> sets M\<close> by (auto intro!: emeasure_mono)
from G have "E \<inter> F - G \<in> sets M" "E \<inter> F - G \<subseteq> E - A"
using \<open>F \<in> sets M\<close> \<open>E \<in> sets M\<close> by auto
with * have "0 = emeasure M (E \<inter> F - G)"
by auto
also have "E \<inter> F - G = E \<inter> F - (G \<inter> E \<inter> F)"
by auto
also have "emeasure M (E \<inter> F - (G \<inter> E \<inter> F)) = emeasure M (E \<inter> F) - emeasure M (G \<inter> E \<inter> F)"
using \<open>E \<in> sets M\<close> \<open>F \<in> sets M\<close> le less G by (intro emeasure_Diff) (auto simp: top_unique)
also have "\<dots> > 0"
using le less by (intro diff_gr0_ennreal) auto
finally show False by auto
qed
qed (rule measurable_envelopeD1)
lemma measurable_envelopeD2:
assumes E: "measurable_envelope M A E" shows "emeasure M E = outer_measure_of M A"
proof -
from \<open>measurable_envelope M A E\<close> have "emeasure M (E \<inter> E) = outer_measure_of M (E \<inter> A)"
by (auto simp: measurable_envelope_def)
with measurable_envelopeD[OF E] show "emeasure M E = outer_measure_of M A"
by (auto simp: Int_absorb1)
qed
lemma measurable_envelope_eq2:
assumes "A \<subseteq> E" "E \<in> sets M" "emeasure M E < \<infinity>"
shows "measurable_envelope M A E \<longleftrightarrow> (emeasure M E = outer_measure_of M A)"
proof safe
assume *: "emeasure M E = outer_measure_of M A"
show "measurable_envelope M A E"
unfolding measurable_envelope_eq1[OF \<open>A \<subseteq> E\<close> \<open>E \<in> sets M\<close>]
proof (intro conjI ballI impI assms)
fix F assume F: "F \<in> sets M" "F \<subseteq> E - A"
with \<open>E \<in> sets M\<close> have le: "emeasure M F \<le> emeasure M E"
by (intro emeasure_mono) auto
from F \<open>A \<subseteq> E\<close> have "outer_measure_of M A \<le> outer_measure_of M (E - F)"
by (intro outer_measure_of_mono) auto
then have "emeasure M E - 0 \<le> emeasure M (E - F)"
using * \<open>E \<in> sets M\<close> \<open>F \<in> sets M\<close> by simp
also have "\<dots> = emeasure M E - emeasure M F"
using \<open>E \<in> sets M\<close> \<open>emeasure M E < \<infinity>\<close> F le by (intro emeasure_Diff) (auto simp: top_unique)
finally show "emeasure M F = 0"
using ennreal_mono_minus_cancel[of "emeasure M E" 0 "emeasure M F"] le assms by auto
qed
qed (auto intro: measurable_envelopeD2)
lemma measurable_envelopeI_countable:
fixes A :: "nat \<Rightarrow> 'a set"
assumes E: "\<And>n. measurable_envelope M (A n) (E n)"
shows "measurable_envelope M (\<Union>n. A n) (\<Union>n. E n)"
proof (subst measurable_envelope_eq1)
show "(\<Union>n. A n) \<subseteq> (\<Union>n. E n)" "(\<Union>n. E n) \<in> sets M"
using measurable_envelopeD(1,2)[OF E] by auto
show "\<forall>F\<in>sets M. F \<subseteq> (\<Union>n. E n) - (\<Union>n. A n) \<longrightarrow> emeasure M F = 0"
proof safe
fix F assume F: "F \<in> sets M" "F \<subseteq> (\<Union>n. E n) - (\<Union>n. A n)"
then have "F \<inter> E n \<in> sets M" "F \<inter> E n \<subseteq> E n - A n" "F \<subseteq> (\<Union>n. E n)" for n
using measurable_envelopeD(1,2)[OF E] by auto
then have "emeasure M (\<Union>n. F \<inter> E n) = 0"
by (intro emeasure_UN_eq_0 measurable_envelopeD1[OF E]) auto
then show "emeasure M F = 0"
using \<open>F \<subseteq> (\<Union>n. E n)\<close> by (auto simp: Int_absorb2)
qed
qed
lemma measurable_envelopeI_countable_cover:
fixes A and C :: "nat \<Rightarrow> 'a set"
assumes C: "A \<subseteq> (\<Union>n. C n)" "\<And>n. C n \<in> sets M" "\<And>n. emeasure M (C n) < \<infinity>"
shows "\<exists>E\<subseteq>(\<Union>n. C n). measurable_envelope M A E"
proof -
have "A \<inter> C n \<subseteq> space M" for n
using \<open>C n \<in> sets M\<close> by (auto dest: sets.sets_into_space)
then have "\<forall>n. \<exists>E\<in>sets M. A \<inter> C n \<subseteq> E \<and> outer_measure_of M (A \<inter> C n) = emeasure M E"
using outer_measure_of_attain[of "A \<inter> C n" M for n] by auto
then obtain E
where E: "\<And>n. E n \<in> sets M" "\<And>n. A \<inter> C n \<subseteq> E n"
and eq: "\<And>n. outer_measure_of M (A \<inter> C n) = emeasure M (E n)"
by metis
have "outer_measure_of M (A \<inter> C n) \<le> outer_measure_of M (E n \<inter> C n)" for n
using E by (intro outer_measure_of_mono) auto
moreover have "outer_measure_of M (E n \<inter> C n) \<le> outer_measure_of M (E n)" for n
by (intro outer_measure_of_mono) auto
ultimately have eq: "outer_measure_of M (A \<inter> C n) = emeasure M (E n \<inter> C n)" for n
using E C by (intro antisym) (auto simp: eq)
{ fix n
have "outer_measure_of M (A \<inter> C n) \<le> outer_measure_of M (C n)"
by (intro outer_measure_of_mono) simp
also have "\<dots> < \<infinity>"
using assms by auto
finally have "emeasure M (E n \<inter> C n) < \<infinity>"
using eq by simp }
then have "measurable_envelope M (\<Union>n. A \<inter> C n) (\<Union>n. E n \<inter> C n)"
using E C by (intro measurable_envelopeI_countable measurable_envelope_eq2[THEN iffD2]) (auto simp: eq)
with \<open>A \<subseteq> (\<Union>n. C n)\<close> show ?thesis
by (intro exI[of _ "(\<Union>n. E n \<inter> C n)"]) (auto simp add: Int_absorb2)
qed
lemma (in complete_measure) complete_sets_sandwich:
assumes [measurable]: "A \<in> sets M" "C \<in> sets M" and subset: "A \<subseteq> B" "B \<subseteq> C"
and measure: "emeasure M A = emeasure M C" "emeasure M A < \<infinity>"
shows "B \<in> sets M"
proof -
have "B - A \<in> sets M"
proof (rule complete)
show "B - A \<subseteq> C - A"
using subset by auto
show "C - A \<in> null_sets M"
using measure subset by(simp add: emeasure_Diff null_setsI)
qed
then have "A \<union> (B - A) \<in> sets M"
by measurable
also have "A \<union> (B - A) = B"
using \<open>A \<subseteq> B\<close> by auto
finally show ?thesis .
qed
lemma (in complete_measure) complete_sets_sandwich_fmeasurable:
assumes [measurable]: "A \<in> fmeasurable M" "C \<in> fmeasurable M" and subset: "A \<subseteq> B" "B \<subseteq> C"
and measure: "measure M A = measure M C"
shows "B \<in> fmeasurable M"
proof (rule fmeasurableI2)
show "B \<subseteq> C" "C \<in> fmeasurable M" by fact+
show "B \<in> sets M"
proof (rule complete_sets_sandwich)
show "A \<in> sets M" "C \<in> sets M" "A \<subseteq> B" "B \<subseteq> C"
using assms by auto
show "emeasure M A < \<infinity>"
using \<open>A \<in> fmeasurable M\<close> by (auto simp: fmeasurable_def)
show "emeasure M A = emeasure M C"
using assms by (simp add: emeasure_eq_measure2)
qed
qed
lemma AE_completion_iff: "(AE x in completion M. P x) \<longleftrightarrow> (AE x in M. P x)"
proof
assume "AE x in completion M. P x"
then obtain N where "N \<in> null_sets (completion M)" and P: "{x\<in>space M. \<not> P x} \<subseteq> N"
unfolding eventually_ae_filter by auto
then obtain N' where N': "N' \<in> null_sets M" and "N \<subseteq> N'"
unfolding null_sets_completion_iff2 by auto
from P \<open>N \<subseteq> N'\<close> have "{x\<in>space M. \<not> P x} \<subseteq> N'"
by auto
with N' show "AE x in M. P x"
unfolding eventually_ae_filter by auto
qed (rule AE_completion)
lemma null_part_null_sets: "S \<in> completion M \<Longrightarrow> null_part M S \<in> null_sets (completion M)"
by (auto dest!: null_part intro: null_sets_completionI null_sets_completion_subset)
lemma AE_notin_null_part: "S \<in> completion M \<Longrightarrow> (AE x in M. x \<notin> null_part M S)"
by (auto dest!: null_part_null_sets AE_not_in simp: AE_completion_iff)
lemma completion_upper:
assumes A: "A \<in> sets (completion M)"
shows "\<exists>A'\<in>sets M. A \<subseteq> A' \<and> emeasure (completion M) A = emeasure M A'"
proof -
from AE_notin_null_part[OF A] obtain N where N: "N \<in> null_sets M" "null_part M A \<subseteq> N"
unfolding eventually_ae_filter using null_part_null_sets[OF A, THEN null_setsD2, THEN sets.sets_into_space] by auto
show ?thesis
proof (intro bexI conjI)
show "A \<subseteq> main_part M A \<union> N"
using \<open>null_part M A \<subseteq> N\<close> by (subst main_part_null_part_Un[symmetric, OF A]) auto
show "emeasure (completion M) A = emeasure M (main_part M A \<union> N)"
using A \<open>N \<in> null_sets M\<close> by (simp add: emeasure_Un_null_set)
qed (use A N in auto)
qed
lemma AE_in_main_part:
assumes A: "A \<in> completion M" shows "AE x in M. x \<in> main_part M A \<longleftrightarrow> x \<in> A"
using AE_notin_null_part[OF A]
by (subst (2) main_part_null_part_Un[symmetric, OF A]) auto
lemma completion_density_eq:
assumes ae: "AE x in M. 0 < f x" and [measurable]: "f \<in> M \<rightarrow>\<^sub>M borel"
shows "completion (density M f) = density (completion M) f"
proof (intro measure_eqI)
have "N' \<in> sets M \<and> (AE x\<in>N' in M. f x = 0) \<longleftrightarrow> N' \<in> null_sets M" for N'
proof safe
assume N': "N' \<in> sets M" and ae_N': "AE x\<in>N' in M. f x = 0"
from ae_N' ae have "AE x in M. x \<notin> N'"
by eventually_elim auto
then show "N' \<in> null_sets M"
using N' by (simp add: AE_iff_null_sets)
next
assume N': "N' \<in> null_sets M" then show "N' \<in> sets M" "AE x\<in>N' in M. f x = 0"
using ae AE_not_in[OF N'] by (auto simp: less_le)
qed
then show sets_eq: "sets (completion (density M f)) = sets (density (completion M) f)"
by (simp add: sets_completion null_sets_density_iff)
fix A assume A: \<open>A \<in> completion (density M f)\<close>
moreover
have "A \<in> completion M"
using A unfolding sets_eq by simp
moreover
have "main_part (density M f) A \<in> M"
using A main_part_sets[of A "density M f"] unfolding sets_density sets_eq by simp
moreover have "AE x in M. x \<in> main_part (density M f) A \<longleftrightarrow> x \<in> A"
using AE_in_main_part[OF \<open>A \<in> completion (density M f)\<close>] ae by (auto simp add: AE_density)
ultimately show "emeasure (completion (density M f)) A = emeasure (density (completion M) f) A"
by (auto simp add: emeasure_density measurable_completion nn_integral_completion intro!: nn_integral_cong_AE)
qed
lemma null_sets_subset: "B \<in> null_sets M \<Longrightarrow> A \<in> sets M \<Longrightarrow> A \<subseteq> B \<Longrightarrow> A \<in> null_sets M"
using emeasure_mono[of A B M] by (simp add: null_sets_def)
lemma (in complete_measure) complete2: "A \<subseteq> B \<Longrightarrow> B \<in> null_sets M \<Longrightarrow> A \<in> null_sets M"
using complete[of A B] null_sets_subset[of B M A] by simp
lemma (in complete_measure) AE_iff_null_sets: "(AE x in M. P x) \<longleftrightarrow> {x\<in>space M. \<not> P x} \<in> null_sets M"
unfolding eventually_ae_filter by (auto intro: complete2)
lemma (in complete_measure) null_sets_iff_AE: "A \<in> null_sets M \<longleftrightarrow> ((AE x in M. x \<notin> A) \<and> A \<subseteq> space M)"
unfolding AE_iff_null_sets by (auto cong: rev_conj_cong dest: sets.sets_into_space simp: subset_eq)
lemma (in complete_measure) in_sets_AE:
assumes ae: "AE x in M. x \<in> A \<longleftrightarrow> x \<in> B" and A: "A \<in> sets M" and B: "B \<subseteq> space M"
shows "B \<in> sets M"
proof -
have "(AE x in M. x \<notin> B - A \<and> x \<notin> A - B)"
using ae by eventually_elim auto
then have "B - A \<in> null_sets M" "A - B \<in> null_sets M"
using A B unfolding null_sets_iff_AE by (auto dest: sets.sets_into_space)
then have "A \<union> (B - A) - (A - B) \<in> sets M"
using A by blast
also have "A \<union> (B - A) - (A - B) = B"
by auto
finally show "B \<in> sets M" .
qed
lemma (in complete_measure) vimage_null_part_null_sets:
assumes f: "f \<in> M \<rightarrow>\<^sub>M N" and eq: "null_sets N \<subseteq> null_sets (distr M N f)"
and A: "A \<in> completion N"
shows "f -` null_part N A \<inter> space M \<in> null_sets M"
proof -
obtain N' where "N' \<in> null_sets N" "null_part N A \<subseteq> N'"
using null_part[OF A] by auto
then have N': "N' \<in> null_sets (distr M N f)"
using eq by auto
show ?thesis
proof (rule complete2)
show "f -` null_part N A \<inter> space M \<subseteq> f -` N' \<inter> space M"
using \<open>null_part N A \<subseteq> N'\<close> by auto
show "f -` N' \<inter> space M \<in> null_sets M"
using f N' by (auto simp: null_sets_def emeasure_distr)
qed
qed
lemma (in complete_measure) vimage_null_part_sets:
"f \<in> M \<rightarrow>\<^sub>M N \<Longrightarrow> null_sets N \<subseteq> null_sets (distr M N f) \<Longrightarrow> A \<in> completion N \<Longrightarrow>
f -` null_part N A \<inter> space M \<in> sets M"
using vimage_null_part_null_sets[of f N A] by auto
lemma (in complete_measure) measurable_completion2:
assumes f: "f \<in> M \<rightarrow>\<^sub>M N" and null_sets: "null_sets N \<subseteq> null_sets (distr M N f)"
shows "f \<in> M \<rightarrow>\<^sub>M completion N"
proof (rule measurableI)
show "x \<in> space M \<Longrightarrow> f x \<in> space (completion N)" for x
using f[THEN measurable_space] by auto
fix A assume A: "A \<in> sets (completion N)"
have "f -` A \<inter> space M = (f -` main_part N A \<inter> space M) \<union> (f -` null_part N A \<inter> space M)"
using main_part_null_part_Un[OF A] by auto
then show "f -` A \<inter> space M \<in> sets M"
using f A null_sets by (auto intro: vimage_null_part_sets measurable_sets)
qed
lemma (in complete_measure) completion_distr_eq:
assumes X: "X \<in> M \<rightarrow>\<^sub>M N" and null_sets: "null_sets (distr M N X) = null_sets N"
shows "completion (distr M N X) = distr M (completion N) X"
proof (rule measure_eqI)
show eq: "sets (completion (distr M N X)) = sets (distr M (completion N) X)"
by (simp add: sets_completion null_sets)
fix A assume A: "A \<in> completion (distr M N X)"
moreover have A': "A \<in> completion N"
using A by (simp add: eq)
moreover have "main_part (distr M N X) A \<in> sets N"
using main_part_sets[OF A] by simp
moreover have "X -` A \<inter> space M = (X -` main_part (distr M N X) A \<inter> space M) \<union> (X -` null_part (distr M N X) A \<inter> space M)"
using main_part_null_part_Un[OF A] by auto
moreover have "X -` null_part (distr M N X) A \<inter> space M \<in> null_sets M"
using X A by (intro vimage_null_part_null_sets) (auto cong: distr_cong)
ultimately show "emeasure (completion (distr M N X)) A = emeasure (distr M (completion N) X) A"
using X by (auto simp: emeasure_distr measurable_completion null_sets measurable_completion2
intro!: emeasure_Un_null_set[symmetric])
qed
lemma distr_completion: "X \<in> M \<rightarrow>\<^sub>M N \<Longrightarrow> distr (completion M) N X = distr M N X"
by (intro measure_eqI) (auto simp: emeasure_distr measurable_completion)
proposition (in complete_measure) fmeasurable_inner_outer:
"S \<in> fmeasurable M \<longleftrightarrow>
(\<forall>e>0. \<exists>T\<in>fmeasurable M. \<exists>U\<in>fmeasurable M. T \<subseteq> S \<and> S \<subseteq> U \<and> \<bar>measure M T - measure M U\<bar> < e)"
(is "_ \<longleftrightarrow> ?approx")
proof safe
let ?\<mu> = "measure M" let ?D = "\<lambda>T U . \<bar>?\<mu> T - ?\<mu> U\<bar>"
assume ?approx
have "\<exists>A. \<forall>n. (fst (A n) \<in> fmeasurable M \<and> snd (A n) \<in> fmeasurable M \<and> fst (A n) \<subseteq> S \<and> S \<subseteq> snd (A n) \<and>
?D (fst (A n)) (snd (A n)) < 1/Suc n) \<and> (fst (A n) \<subseteq> fst (A (Suc n)) \<and> snd (A (Suc n)) \<subseteq> snd (A n))"
(is "\<exists>A. \<forall>n. ?P n (A n) \<and> ?Q (A n) (A (Suc n))")
proof (intro dependent_nat_choice)
show "\<exists>A. ?P 0 A"
using \<open>?approx\<close>[THEN spec, of 1] by auto
next
fix A n assume "?P n A"
moreover
from \<open>?approx\<close>[THEN spec, of "1/Suc (Suc n)"]
obtain T U where *: "T \<in> fmeasurable M" "U \<in> fmeasurable M" "T \<subseteq> S" "S \<subseteq> U" "?D T U < 1 / Suc (Suc n)"
by auto
ultimately have "?\<mu> T \<le> ?\<mu> (T \<union> fst A)" "?\<mu> (U \<inter> snd A) \<le> ?\<mu> U"
"?\<mu> T \<le> ?\<mu> U" "?\<mu> (T \<union> fst A) \<le> ?\<mu> (U \<inter> snd A)"
by (auto intro!: measure_mono_fmeasurable)
then have "?D (T \<union> fst A) (U \<inter> snd A) \<le> ?D T U"
by auto
also have "?D T U < 1/Suc (Suc n)" by fact
finally show "\<exists>B. ?P (Suc n) B \<and> ?Q A B"
using \<open>?P n A\<close> *
by (intro exI[of _ "(T \<union> fst A, U \<inter> snd A)"] conjI) auto
qed
then obtain A
where lm: "\<And>n. fst (A n) \<in> fmeasurable M" "\<And>n. snd (A n) \<in> fmeasurable M"
and set_bound: "\<And>n. fst (A n) \<subseteq> S" "\<And>n. S \<subseteq> snd (A n)"
and mono: "\<And>n. fst (A n) \<subseteq> fst (A (Suc n))" "\<And>n. snd (A (Suc n)) \<subseteq> snd (A n)"
and bound: "\<And>n. ?D (fst (A n)) (snd (A n)) < 1/Suc n"
by metis
have INT_sA: "(\<Inter>n. snd (A n)) \<in> fmeasurable M"
using lm by (intro fmeasurable_INT[of _ 0]) auto
have UN_fA: "(\<Union>n. fst (A n)) \<in> fmeasurable M"
using lm order_trans[OF set_bound(1) set_bound(2)[of 0]] by (intro fmeasurable_UN[of _ _ "snd (A 0)"]) auto
have "(\<lambda>n. ?\<mu> (fst (A n)) - ?\<mu> (snd (A n))) \<longlonglongrightarrow> 0"
using bound
by (subst tendsto_rabs_zero_iff[symmetric])
(intro tendsto_sandwich[OF _ _ tendsto_const LIMSEQ_inverse_real_of_nat];
auto intro!: always_eventually less_imp_le simp: divide_inverse)
moreover
have "(\<lambda>n. ?\<mu> (fst (A n)) - ?\<mu> (snd (A n))) \<longlonglongrightarrow> ?\<mu> (\<Union>n. fst (A n)) - ?\<mu> (\<Inter>n. snd (A n))"
proof (intro tendsto_diff Lim_measure_incseq Lim_measure_decseq)
show "range (\<lambda>i. fst (A i)) \<subseteq> sets M" "range (\<lambda>i. snd (A i)) \<subseteq> sets M"
"incseq (\<lambda>i. fst (A i))" "decseq (\<lambda>n. snd (A n))"
using mono lm by (auto simp: incseq_Suc_iff decseq_Suc_iff intro!: measure_mono_fmeasurable)
show "emeasure M (\<Union>x. fst (A x)) \<noteq> \<infinity>" "emeasure M (snd (A n)) \<noteq> \<infinity>" for n
using lm(2)[of n] UN_fA by (auto simp: fmeasurable_def)
qed
ultimately have eq: "0 = ?\<mu> (\<Union>n. fst (A n)) - ?\<mu> (\<Inter>n. snd (A n))"
by (rule LIMSEQ_unique)
show "S \<in> fmeasurable M"
using UN_fA INT_sA
proof (rule complete_sets_sandwich_fmeasurable)
show "(\<Union>n. fst (A n)) \<subseteq> S" "S \<subseteq> (\<Inter>n. snd (A n))"
using set_bound by auto
show "?\<mu> (\<Union>n. fst (A n)) = ?\<mu> (\<Inter>n. snd (A n))"
using eq by auto
qed
qed (auto intro!: bexI[of _ S])
lemma (in complete_measure) fmeasurable_measure_inner_outer:
"(S \<in> fmeasurable M \<and> m = measure M S) \<longleftrightarrow>
(\<forall>e>0. \<exists>T\<in>fmeasurable M. T \<subseteq> S \<and> m - e < measure M T) \<and>
(\<forall>e>0. \<exists>U\<in>fmeasurable M. S \<subseteq> U \<and> measure M U < m + e)"
(is "?lhs = ?rhs")
proof
assume RHS: ?rhs
then have T: "\<And>e. 0 < e \<longrightarrow> (\<exists>T\<in>fmeasurable M. T \<subseteq> S \<and> m - e < measure M T)"
and U: "\<And>e. 0 < e \<longrightarrow> (\<exists>U\<in>fmeasurable M. S \<subseteq> U \<and> measure M U < m + e)"
by auto
have "S \<in> fmeasurable M"
proof (subst fmeasurable_inner_outer, safe)
fix e::real assume "0 < e"
with RHS obtain T U where T: "T \<in> fmeasurable M" "T \<subseteq> S" "m - e/2 < measure M T"
and U: "U \<in> fmeasurable M" "S \<subseteq> U" "measure M U < m + e/2"
by (meson half_gt_zero)+
moreover have "measure M U - measure M T < (m + e/2) - (m - e/2)"
by (intro diff_strict_mono) fact+
moreover have "measure M T \<le> measure M U"
using T U by (intro measure_mono_fmeasurable) auto
ultimately show "\<exists>T\<in>fmeasurable M. \<exists>U\<in>fmeasurable M. T \<subseteq> S \<and> S \<subseteq> U \<and> \<bar>measure M T - measure M U\<bar> < e"
apply (rule_tac bexI[OF _ \<open>T \<in> fmeasurable M\<close>])
apply (rule_tac bexI[OF _ \<open>U \<in> fmeasurable M\<close>])
by auto
qed
moreover have "m = measure M S"
using \<open>S \<in> fmeasurable M\<close> U[of "measure M S - m"] T[of "m - measure M S"]
by (cases m "measure M S" rule: linorder_cases)
(auto simp: not_le[symmetric] measure_mono_fmeasurable)
ultimately show ?lhs
by simp
qed (auto intro!: bexI[of _ S])
lemma (in complete_measure) null_sets_outer:
"S \<in> null_sets M \<longleftrightarrow> (\<forall>e>0. \<exists>T\<in>fmeasurable M. S \<subseteq> T \<and> measure M T < e)"
proof -
have "S \<in> null_sets M \<longleftrightarrow> (S \<in> fmeasurable M \<and> 0 = measure M S)"
by (auto simp: null_sets_def emeasure_eq_measure2 intro: fmeasurableI) (simp add: measure_def)
also have "\<dots> = (\<forall>e>0. \<exists>T\<in>fmeasurable M. S \<subseteq> T \<and> measure M T < e)"
unfolding fmeasurable_measure_inner_outer by auto
finally show ?thesis .
qed
lemma (in complete_measure) fmeasurable_measure_inner_outer_le:
"(S \<in> fmeasurable M \<and> m = measure M S) \<longleftrightarrow>
(\<forall>e>0. \<exists>T\<in>fmeasurable M. T \<subseteq> S \<and> m - e \<le> measure M T) \<and>
(\<forall>e>0. \<exists>U\<in>fmeasurable M. S \<subseteq> U \<and> measure M U \<le> m + e)" (is ?T1)
and null_sets_outer_le:
"S \<in> null_sets M \<longleftrightarrow> (\<forall>e>0. \<exists>T\<in>fmeasurable M. S \<subseteq> T \<and> measure M T \<le> e)" (is ?T2)
proof -
have "e > 0 \<and> m - e/2 \<le> t \<Longrightarrow> m - e < t"
"e > 0 \<and> t \<le> m + e/2 \<Longrightarrow> t < m + e"
"e > 0 \<longleftrightarrow> e/2 > 0"
for e t
by auto
then show ?T1 ?T2
unfolding fmeasurable_measure_inner_outer null_sets_outer
by (meson dense le_less_trans less_imp_le)+
qed
lemma (in cld_measure) notin_sets_outer_measure_of_cover:
assumes E: "E \<subseteq> space M" "E \<notin> sets M"
shows "\<exists>B\<in>sets M. 0 < emeasure M B \<and> emeasure M B < \<infinity> \<and>
outer_measure_of M (B \<inter> E) = emeasure M B \<and> outer_measure_of M (B - E) = emeasure M B"
proof -
from locally_determined[OF \<open>E \<subseteq> space M\<close>] \<open>E \<notin> sets M\<close>
obtain F
where [measurable]: "F \<in> sets M" and "emeasure M F < \<infinity>" "E \<inter> F \<notin> sets M"
by blast
then obtain H H'
where H: "measurable_envelope M (F \<inter> E) H" and H': "measurable_envelope M (F - E) H'"
using measurable_envelopeI_countable_cover[of "F \<inter> E" "\<lambda>_. F" M]
measurable_envelopeI_countable_cover[of "F - E" "\<lambda>_. F" M]
by auto
note measurable_envelopeD(2)[OF H', measurable] measurable_envelopeD(2)[OF H, measurable]
from measurable_envelopeD(1)[OF H'] measurable_envelopeD(1)[OF H]
have subset: "F - H' \<subseteq> F \<inter> E" "F \<inter> E \<subseteq> F \<inter> H"
by auto
moreover define G where "G = (F \<inter> H) - (F - H')"
ultimately have G: "G = F \<inter> H \<inter> H'"
by auto
have "emeasure M (F \<inter> H) \<noteq> 0"
proof
assume "emeasure M (F \<inter> H) = 0"
then have "F \<inter> H \<in> null_sets M"
by auto
with \<open>E \<inter> F \<notin> sets M\<close> show False
using complete[OF \<open>F \<inter> E \<subseteq> F \<inter> H\<close>] by (auto simp: Int_commute)
qed
moreover
have "emeasure M (F - H') \<noteq> emeasure M (F \<inter> H)"
proof
assume "emeasure M (F - H') = emeasure M (F \<inter> H)"
with \<open>E \<inter> F \<notin> sets M\<close> emeasure_mono[of "F \<inter> H" F M] \<open>emeasure M F < \<infinity>\<close>
have "F \<inter> E \<in> sets M"
by (intro complete_sets_sandwich[OF _ _ subset]) auto
with \<open>E \<inter> F \<notin> sets M\<close> show False
by (simp add: Int_commute)
qed
moreover have "emeasure M (F - H') \<le> emeasure M (F \<inter> H)"
using subset by (intro emeasure_mono) auto
ultimately have "emeasure M G \<noteq> 0"
unfolding G_def using subset
by (subst emeasure_Diff) (auto simp: top_unique diff_eq_0_iff_ennreal)
show ?thesis
proof (intro bexI conjI)
have "emeasure M G \<le> emeasure M F"
unfolding G by (auto intro!: emeasure_mono)
with \<open>emeasure M F < \<infinity>\<close> show "0 < emeasure M G" "emeasure M G < \<infinity>"
using \<open>emeasure M G \<noteq> 0\<close> by (auto simp: zero_less_iff_neq_zero)
show [measurable]: "G \<in> sets M"
unfolding G by auto
have "emeasure M G = outer_measure_of M (F \<inter> H' \<inter> (F \<inter> E))"
using measurable_envelopeD(3)[OF H, of "F \<inter> H'"] unfolding G by (simp add: ac_simps)
also have "\<dots> \<le> outer_measure_of M (G \<inter> E)"
using measurable_envelopeD(1)[OF H] by (intro outer_measure_of_mono) (auto simp: G)
finally show "outer_measure_of M (G \<inter> E) = emeasure M G"
using outer_measure_of_mono[of "G \<inter> E" G M] by auto
have "emeasure M G = outer_measure_of M (F \<inter> H \<inter> (F - E))"
using measurable_envelopeD(3)[OF H', of "F \<inter> H"] unfolding G by (simp add: ac_simps)
also have "\<dots> \<le> outer_measure_of M (G - E)"
using measurable_envelopeD(1)[OF H'] by (intro outer_measure_of_mono) (auto simp: G)
finally show "outer_measure_of M (G - E) = emeasure M G"
using outer_measure_of_mono[of "G - E" G M] by auto
qed
qed
text \<open>The following theorem is a specialization of D.H. Fremlin, Measure Theory vol 4I (413G). We
only show one direction and do not use a inner regular family $K$.\<close>
lemma (in cld_measure) borel_measurable_cld:
fixes f :: "'a \<Rightarrow> real"
assumes "\<And>A a b. A \<in> sets M \<Longrightarrow> 0 < emeasure M A \<Longrightarrow> emeasure M A < \<infinity> \<Longrightarrow> a < b \<Longrightarrow>
min (outer_measure_of M {x\<in>A. f x \<le> a}) (outer_measure_of M {x\<in>A. b \<le> f x}) < emeasure M A"
shows "f \<in> M \<rightarrow>\<^sub>M borel"
proof (rule ccontr)
let ?E = "\<lambda>a. {x\<in>space M. f x \<le> a}" and ?F = "\<lambda>a. {x\<in>space M. a \<le> f x}"
assume "f \<notin> M \<rightarrow>\<^sub>M borel"
then obtain a where "?E a \<notin> sets M"
unfolding borel_measurable_iff_le by blast
from notin_sets_outer_measure_of_cover[OF _ this]
obtain K
where K: "K \<in> sets M" "0 < emeasure M K" "emeasure M K < \<infinity>"
and eq1: "outer_measure_of M (K \<inter> ?E a) = emeasure M K"
and eq2: "outer_measure_of M (K - ?E a) = emeasure M K"
by auto
then have me_K: "measurable_envelope M (K \<inter> ?E a) K"
by (subst measurable_envelope_eq2) auto
define b where "b n = a + inverse (real (Suc n))" for n
have "(SUP n. outer_measure_of M (K \<inter> ?F (b n))) = outer_measure_of M (\<Union>n. K \<inter> ?F (b n))"
proof (intro SUP_outer_measure_of_incseq)
have "x \<le> y \<Longrightarrow> b y \<le> b x" for x y
by (auto simp: b_def field_simps)
then show "incseq (\<lambda>n. K \<inter> {x \<in> space M. b n \<le> f x})"
by (auto simp: incseq_def intro: order_trans)
qed auto
also have "(\<Union>n. K \<inter> ?F (b n)) = K - ?E a"
proof -
have "b \<longlonglongrightarrow> a"
unfolding b_def by (rule LIMSEQ_inverse_real_of_nat_add)
then have "\<forall>n. \<not> b n \<le> f x \<Longrightarrow> f x \<le> a" for x
by (rule LIMSEQ_le_const) (auto intro: less_imp_le simp: not_le)
moreover have "\<not> b n \<le> a" for n
by (auto simp: b_def)
ultimately show ?thesis
using \<open>K \<in> sets M\<close>[THEN sets.sets_into_space] by (auto simp: subset_eq intro: order_trans)
qed
finally have "0 < (SUP n. outer_measure_of M (K \<inter> ?F (b n)))"
using K by (simp add: eq2)
then obtain n where pos_b: "0 < outer_measure_of M (K \<inter> ?F (b n))" and "a < b n"
unfolding less_SUP_iff by (auto simp: b_def)
from measurable_envelopeI_countable_cover[of "K \<inter> ?F (b n)" "\<lambda>_. K" M] K
obtain K' where "K' \<subseteq> K" and me_K': "measurable_envelope M (K \<inter> ?F (b n)) K'"
by auto
then have K'_le_K: "emeasure M K' \<le> emeasure M K"
by (intro emeasure_mono K)
have "K' \<in> sets M"
using me_K' by (rule measurable_envelopeD)
have "min (outer_measure_of M {x\<in>K'. f x \<le> a}) (outer_measure_of M {x\<in>K'. b n \<le> f x}) < emeasure M K'"
proof (rule assms)
show "0 < emeasure M K'" "emeasure M K' < \<infinity>"
using measurable_envelopeD2[OF me_K'] pos_b K K'_le_K by auto
qed fact+
also have "{x\<in>K'. f x \<le> a} = K' \<inter> (K \<inter> ?E a)"
using \<open>K' \<in> sets M\<close>[THEN sets.sets_into_space] \<open>K' \<subseteq> K\<close> by auto
also have "{x\<in>K'. b n \<le> f x} = K' \<inter> (K \<inter> ?F (b n))"
using \<open>K' \<in> sets M\<close>[THEN sets.sets_into_space] \<open>K' \<subseteq> K\<close> by auto
finally have "min (emeasure M K) (emeasure M K') < emeasure M K'"
unfolding
measurable_envelopeD(3)[OF me_K \<open>K' \<in> sets M\<close>, symmetric]
measurable_envelopeD(3)[OF me_K' \<open>K' \<in> sets M\<close>, symmetric]
using \<open>K' \<subseteq> K\<close> by (simp add: Int_absorb1 Int_absorb2)
with K'_le_K show False
by (auto simp: min_def split: if_split_asm)
qed
end