(* Title: HOL/Analysis/Binary_Product_Measure.thy
Author: Johannes Hölzl, TU München
*)
section \<open>Binary Product Measure\<close>
theory Binary_Product_Measure
imports Nonnegative_Lebesgue_Integration
begin
lemma Pair_vimage_times[simp]: "Pair x -` (A \ B) = (if x \ A then B else {})"
by auto
lemma rev_Pair_vimage_times[simp]: "(\x. (x, y)) -` (A \ B) = (if y \ B then A else {})"
by auto
subsection "Binary products"
definition\<^marker>\<open>tag important\<close> pair_measure (infixr "\<Otimes>\<^sub>M" 80) where
"A \\<^sub>M B = measure_of (space A \ space B)
{a \<times> b | a b. a \<in> sets A \<and> b \<in> sets B}
(\<lambda>X. \<integral>\<^sup>+x. (\<integral>\<^sup>+y. indicator X (x,y) \<partial>B) \<partial>A)"
lemma pair_measure_closed: "{a \ b | a b. a \ sets A \ b \ sets B} \ Pow (space A \ space B)"
using sets.space_closed[of A] sets.space_closed[of B] by auto
lemma space_pair_measure:
"space (A \\<^sub>M B) = space A \ space B"
unfolding pair_measure_def using pair_measure_closed[of A B]
by (rule space_measure_of)
lemma SIGMA_Collect_eq: "(SIGMA x:space M. {y\space N. P x y}) = {x\space (M \\<^sub>M N). P (fst x) (snd x)}"
by (auto simp: space_pair_measure)
lemma sets_pair_measure:
"sets (A \\<^sub>M B) = sigma_sets (space A \ space B) {a \ b | a b. a \ sets A \ b \ sets B}"
unfolding pair_measure_def using pair_measure_closed[of A B]
by (rule sets_measure_of)
lemma sets_pair_measure_cong[measurable_cong, cong]:
"sets M1 = sets M1' \ sets M2 = sets M2' \ sets (M1 \\<^sub>M M2) = sets (M1' \\<^sub>M M2')"
unfolding sets_pair_measure by (simp cong: sets_eq_imp_space_eq)
lemma pair_measureI[intro, simp, measurable]:
"x \ sets A \ y \ sets B \ x \ y \ sets (A \\<^sub>M B)"
by (auto simp: sets_pair_measure)
lemma sets_Pair: "{x} \ sets M1 \ {y} \ sets M2 \ {(x, y)} \ sets (M1 \\<^sub>M M2)"
using pair_measureI[of "{x}" M1 "{y}" M2] by simp
lemma measurable_pair_measureI:
assumes 1: "f \ space M \ space M1 \ space M2"
assumes 2: "\A B. A \ sets M1 \ B \ sets M2 \ f -` (A \ B) \ space M \ sets M"
shows "f \ measurable M (M1 \\<^sub>M M2)"
unfolding pair_measure_def using 1 2
by (intro measurable_measure_of) (auto dest: sets.sets_into_space)
lemma measurable_split_replace[measurable (raw)]:
"(\x. f x (fst (g x)) (snd (g x))) \ measurable M N \ (\x. case_prod (f x) (g x)) \ measurable M N"
unfolding split_beta' .
lemma measurable_Pair[measurable (raw)]:
assumes f: "f \ measurable M M1" and g: "g \ measurable M M2"
shows "(\x. (f x, g x)) \ measurable M (M1 \\<^sub>M M2)"
proof (rule measurable_pair_measureI)
show "(\x. (f x, g x)) \ space M \ space M1 \ space M2"
using f g by (auto simp: measurable_def)
fix A B assume *: "A \ sets M1" "B \ sets M2"
have "(\x. (f x, g x)) -` (A \ B) \ space M = (f -` A \ space M) \ (g -` B \ space M)"
by auto
also have "\ \ sets M"
by (rule sets.Int) (auto intro!: measurable_sets * f g)
finally show "(\x. (f x, g x)) -` (A \ B) \ space M \ sets M" .
qed
lemma measurable_fst[intro!, simp, measurable]: "fst \ measurable (M1 \\<^sub>M M2) M1"
by (auto simp: fst_vimage_eq_Times space_pair_measure sets.sets_into_space Times_Int_Times
measurable_def)
lemma measurable_snd[intro!, simp, measurable]: "snd \ measurable (M1 \\<^sub>M M2) M2"
by (auto simp: snd_vimage_eq_Times space_pair_measure sets.sets_into_space Times_Int_Times
measurable_def)
lemma measurable_Pair_compose_split[measurable_dest]:
assumes f: "case_prod f \ measurable (M1 \\<^sub>M M2) N"
assumes g: "g \ measurable M M1" and h: "h \ measurable M M2"
shows "(\x. f (g x) (h x)) \ measurable M N"
using measurable_compose[OF measurable_Pair f, OF g h] by simp
lemma measurable_Pair1_compose[measurable_dest]:
assumes f: "(\x. (f x, g x)) \ measurable M (M1 \\<^sub>M M2)"
assumes [measurable]: "h \ measurable N M"
shows "(\x. f (h x)) \ measurable N M1"
using measurable_compose[OF f measurable_fst] by simp
lemma measurable_Pair2_compose[measurable_dest]:
assumes f: "(\x. (f x, g x)) \ measurable M (M1 \\<^sub>M M2)"
assumes [measurable]: "h \ measurable N M"
shows "(\x. g (h x)) \ measurable N M2"
using measurable_compose[OF f measurable_snd] by simp
lemma measurable_pair:
assumes "(fst \ f) \ measurable M M1" "(snd \ f) \ measurable M M2"
shows "f \ measurable M (M1 \\<^sub>M M2)"
using measurable_Pair[OF assms] by simp
lemma
assumes f[measurable]: "f \ measurable M (N \\<^sub>M P)"
shows measurable_fst': "(\x. fst (f x)) \ measurable M N"
and measurable_snd': "(\x. snd (f x)) \ measurable M P"
by simp_all
lemma
assumes f[measurable]: "f \ measurable M N"
shows measurable_fst'': "(\x. f (fst x)) \ measurable (M \\<^sub>M P) N"
and measurable_snd'': "(\x. f (snd x)) \ measurable (P \\<^sub>M M) N"
by simp_all
lemma sets_pair_in_sets:
assumes "\a b. a \ sets A \ b \ sets B \ a \ b \ sets N"
shows "sets (A \\<^sub>M B) \ sets N"
unfolding sets_pair_measure
by (intro sets.sigma_sets_subset') (auto intro!: assms)
lemma sets_pair_eq_sets_fst_snd:
"sets (A \\<^sub>M B) = sets (Sup {vimage_algebra (space A \ space B) fst A, vimage_algebra (space A \ space B) snd B})"
(is "?P = sets (Sup {?fst, ?snd})")
proof -
{ fix a b assume ab: "a \ sets A" "b \ sets B"
then have "a \ b = (fst -` a \ (space A \ space B)) \ (snd -` b \ (space A \ space B))"
by (auto dest: sets.sets_into_space)
also have "\ \ sets (Sup {?fst, ?snd})"
apply (rule sets.Int)
apply (rule in_sets_Sup)
apply auto []
apply (rule insertI1)
apply (auto intro: ab in_vimage_algebra) []
apply (rule in_sets_Sup)
apply auto []
apply (rule insertI2)
apply (auto intro: ab in_vimage_algebra)
done
finally have "a \ b \ sets (Sup {?fst, ?snd})" . }
moreover have "sets ?fst \ sets (A \\<^sub>M B)"
by (rule sets_image_in_sets) (auto simp: space_pair_measure[symmetric])
moreover have "sets ?snd \ sets (A \\<^sub>M B)"
by (rule sets_image_in_sets) (auto simp: space_pair_measure)
ultimately show ?thesis
apply (intro antisym[of "sets A" for A] sets_Sup_in_sets sets_pair_in_sets)
apply simp
apply simp
apply simp
apply (elim disjE)
apply (simp add: space_pair_measure)
apply (simp add: space_pair_measure)
apply (auto simp add: space_pair_measure)
done
qed
lemma measurable_pair_iff:
"f \ measurable M (M1 \\<^sub>M M2) \ (fst \ f) \ measurable M M1 \ (snd \ f) \ measurable M M2"
by (auto intro: measurable_pair[of f M M1 M2])
lemma measurable_split_conv:
"(\(x, y). f x y) \ measurable A B \ (\x. f (fst x) (snd x)) \ measurable A B"
by (intro arg_cong2[where f="(\)"]) auto
lemma measurable_pair_swap': "(\(x,y). (y, x)) \ measurable (M1 \\<^sub>M M2) (M2 \\<^sub>M M1)"
by (auto intro!: measurable_Pair simp: measurable_split_conv)
lemma measurable_pair_swap:
assumes f: "f \ measurable (M1 \\<^sub>M M2) M" shows "(\(x,y). f (y, x)) \ measurable (M2 \\<^sub>M M1) M"
using measurable_comp[OF measurable_Pair f] by (auto simp: measurable_split_conv comp_def)
lemma measurable_pair_swap_iff:
"f \ measurable (M2 \\<^sub>M M1) M \ (\(x,y). f (y,x)) \ measurable (M1 \\<^sub>M M2) M"
by (auto dest: measurable_pair_swap)
lemma measurable_Pair1': "x \ space M1 \ Pair x \ measurable M2 (M1 \\<^sub>M M2)"
by simp
lemma sets_Pair1[measurable (raw)]:
assumes A: "A \ sets (M1 \\<^sub>M M2)" shows "Pair x -` A \ sets M2"
proof -
have "Pair x -` A = (if x \ space M1 then Pair x -` A \ space M2 else {})"
using A[THEN sets.sets_into_space] by (auto simp: space_pair_measure)
also have "\ \ sets M2"
using A by (auto simp add: measurable_Pair1' intro!: measurable_sets split: if_split_asm)
finally show ?thesis .
qed
lemma measurable_Pair2': "y \ space M2 \ (\x. (x, y)) \ measurable M1 (M1 \\<^sub>M M2)"
by (auto intro!: measurable_Pair)
lemma sets_Pair2: assumes A: "A \ sets (M1 \\<^sub>M M2)" shows "(\x. (x, y)) -` A \ sets M1"
proof -
have "(\x. (x, y)) -` A = (if y \ space M2 then (\x. (x, y)) -` A \ space M1 else {})"
using A[THEN sets.sets_into_space] by (auto simp: space_pair_measure)
also have "\ \ sets M1"
using A by (auto simp add: measurable_Pair2' intro!: measurable_sets split: if_split_asm)
finally show ?thesis .
qed
lemma measurable_Pair2:
assumes f: "f \ measurable (M1 \\<^sub>M M2) M" and x: "x \ space M1"
shows "(\y. f (x, y)) \ measurable M2 M"
using measurable_comp[OF measurable_Pair1' f, OF x]
by (simp add: comp_def)
lemma measurable_Pair1:
assumes f: "f \ measurable (M1 \\<^sub>M M2) M" and y: "y \ space M2"
shows "(\x. f (x, y)) \ measurable M1 M"
using measurable_comp[OF measurable_Pair2' f, OF y]
by (simp add: comp_def)
lemma Int_stable_pair_measure_generator: "Int_stable {a \ b | a b. a \ sets A \ b \ sets B}"
unfolding Int_stable_def
by safe (auto simp add: Times_Int_Times)
lemma (in finite_measure) finite_measure_cut_measurable:
assumes [measurable]: "Q \ sets (N \\<^sub>M M)"
shows "(\x. emeasure M (Pair x -` Q)) \ borel_measurable N"
(is "?s Q \ _")
using Int_stable_pair_measure_generator pair_measure_closed assms
unfolding sets_pair_measure
proof (induct rule: sigma_sets_induct_disjoint)
case (compl A)
with sets.sets_into_space have "\x. emeasure M (Pair x -` ((space N \ space M) - A)) =
(if x \<in> space N then emeasure M (space M) - ?s A x else 0)"
unfolding sets_pair_measure[symmetric]
by (auto intro!: emeasure_compl simp: vimage_Diff sets_Pair1)
with compl sets.top show ?case
by (auto intro!: measurable_If simp: space_pair_measure)
next
case (union F)
then have "\x. emeasure M (Pair x -` (\i. F i)) = (\i. ?s (F i) x)"
by (simp add: suminf_emeasure disjoint_family_on_vimageI subset_eq vimage_UN sets_pair_measure[symmetric])
with union show ?case
unfolding sets_pair_measure[symmetric] by simp
qed (auto simp add: if_distrib Int_def[symmetric] intro!: measurable_If)
lemma (in sigma_finite_measure) measurable_emeasure_Pair:
assumes Q: "Q \ sets (N \\<^sub>M M)" shows "(\x. emeasure M (Pair x -` Q)) \ borel_measurable N" (is "?s Q \ _")
proof -
from sigma_finite_disjoint guess F . note F = this
then have F_sets: "\i. F i \ sets M" by auto
let ?C = "\x i. F i \ Pair x -` Q"
{ fix i
have [simp]: "space N \ F i \ space N \ space M = space N \ F i"
using F sets.sets_into_space by auto
let ?R = "density M (indicator (F i))"
have "finite_measure ?R"
using F by (intro finite_measureI) (auto simp: emeasure_restricted subset_eq)
then have "(\x. emeasure ?R (Pair x -` (space N \ space ?R \ Q))) \ borel_measurable N"
by (rule finite_measure.finite_measure_cut_measurable) (auto intro: Q)
moreover have "\x. emeasure ?R (Pair x -` (space N \ space ?R \ Q))
= emeasure M (F i \<inter> Pair x -` (space N \<times> space ?R \<inter> Q))"
using Q F_sets by (intro emeasure_restricted) (auto intro: sets_Pair1)
moreover have "\x. F i \ Pair x -` (space N \ space ?R \ Q) = ?C x i"
using sets.sets_into_space[OF Q] by (auto simp: space_pair_measure)
ultimately have "(\x. emeasure M (?C x i)) \ borel_measurable N"
by simp }
moreover
{ fix x
have "(\i. emeasure M (?C x i)) = emeasure M (\i. ?C x i)"
proof (intro suminf_emeasure)
show "range (?C x) \ sets M"
using F \<open>Q \<in> sets (N \<Otimes>\<^sub>M M)\<close> by (auto intro!: sets_Pair1)
have "disjoint_family F" using F by auto
show "disjoint_family (?C x)"
by (rule disjoint_family_on_bisimulation[OF \<open>disjoint_family F\<close>]) auto
qed
also have "(\i. ?C x i) = Pair x -` Q"
using F sets.sets_into_space[OF \<open>Q \<in> sets (N \<Otimes>\<^sub>M M)\<close>]
by (auto simp: space_pair_measure)
finally have "emeasure M (Pair x -` Q) = (\i. emeasure M (?C x i))"
by simp }
ultimately show ?thesis using \<open>Q \<in> sets (N \<Otimes>\<^sub>M M)\<close> F_sets
by auto
qed
lemma (in sigma_finite_measure) measurable_emeasure[measurable (raw)]:
assumes space: "\x. x \ space N \ A x \ space M"
assumes A: "{x\space (N \\<^sub>M M). snd x \ A (fst x)} \ sets (N \\<^sub>M M)"
shows "(\x. emeasure M (A x)) \ borel_measurable N"
proof -
from space have "\x. x \ space N \ Pair x -` {x \ space (N \\<^sub>M M). snd x \ A (fst x)} = A x"
by (auto simp: space_pair_measure)
with measurable_emeasure_Pair[OF A] show ?thesis
by (auto cong: measurable_cong)
qed
lemma (in sigma_finite_measure) emeasure_pair_measure:
assumes "X \ sets (N \\<^sub>M M)"
shows "emeasure (N \\<^sub>M M) X = (\\<^sup>+ x. \\<^sup>+ y. indicator X (x, y) \M \N)" (is "_ = ?\ X")
proof (rule emeasure_measure_of[OF pair_measure_def])
show "positive (sets (N \\<^sub>M M)) ?\"
by (auto simp: positive_def)
have eq[simp]: "\A x y. indicator A (x, y) = indicator (Pair x -` A) y"
by (auto simp: indicator_def)
show "countably_additive (sets (N \\<^sub>M M)) ?\"
proof (rule countably_additiveI)
fix F :: "nat \ ('b \ 'a) set" assume F: "range F \ sets (N \\<^sub>M M)" "disjoint_family F"
from F have *: "\i. F i \ sets (N \\<^sub>M M)" by auto
moreover have "\x. disjoint_family (\i. Pair x -` F i)"
by (intro disjoint_family_on_bisimulation[OF F(2)]) auto
moreover have "\x. range (\i. Pair x -` F i) \ sets M"
using F by (auto simp: sets_Pair1)
ultimately show "(\n. ?\ (F n)) = ?\ (\i. F i)"
by (auto simp add: nn_integral_suminf[symmetric] vimage_UN suminf_emeasure
intro!: nn_integral_cong nn_integral_indicator[symmetric])
qed
show "{a \ b |a b. a \ sets N \ b \ sets M} \ Pow (space N \ space M)"
using sets.space_closed[of N] sets.space_closed[of M] by auto
qed fact
lemma (in sigma_finite_measure) emeasure_pair_measure_alt:
assumes X: "X \ sets (N \\<^sub>M M)"
shows "emeasure (N \\<^sub>M M) X = (\\<^sup>+x. emeasure M (Pair x -` X) \N)"
proof -
have [simp]: "\x y. indicator X (x, y) = indicator (Pair x -` X) y"
by (auto simp: indicator_def)
show ?thesis
using X by (auto intro!: nn_integral_cong simp: emeasure_pair_measure sets_Pair1)
qed
proposition (in sigma_finite_measure) emeasure_pair_measure_Times:
assumes A: "A \ sets N" and B: "B \ sets M"
shows "emeasure (N \\<^sub>M M) (A \ B) = emeasure N A * emeasure M B"
proof -
have "emeasure (N \\<^sub>M M) (A \ B) = (\\<^sup>+x. emeasure M B * indicator A x \N)"
using A B by (auto intro!: nn_integral_cong simp: emeasure_pair_measure_alt)
also have "\ = emeasure M B * emeasure N A"
using A by (simp add: nn_integral_cmult_indicator)
finally show ?thesis
by (simp add: ac_simps)
qed
subsection \<open>Binary products of \<open>\<sigma>\<close>-finite emeasure spaces\<close>
locale\<^marker>\<open>tag unimportant\<close> pair_sigma_finite = M1?: sigma_finite_measure M1 + M2?: sigma_finite_measure M2
for M1 :: "'a measure" and M2 :: "'b measure"
lemma (in pair_sigma_finite) measurable_emeasure_Pair1:
"Q \ sets (M1 \\<^sub>M M2) \ (\x. emeasure M2 (Pair x -` Q)) \ borel_measurable M1"
using M2.measurable_emeasure_Pair .
lemma (in pair_sigma_finite) measurable_emeasure_Pair2:
assumes Q: "Q \ sets (M1 \\<^sub>M M2)" shows "(\y. emeasure M1 ((\x. (x, y)) -` Q)) \ borel_measurable M2"
proof -
have "(\(x, y). (y, x)) -` Q \ space (M2 \\<^sub>M M1) \ sets (M2 \\<^sub>M M1)"
using Q measurable_pair_swap' by (auto intro: measurable_sets)
note M1.measurable_emeasure_Pair[OF this]
moreover have "\y. Pair y -` ((\(x, y). (y, x)) -` Q \ space (M2 \\<^sub>M M1)) = (\x. (x, y)) -` Q"
using Q[THEN sets.sets_into_space] by (auto simp: space_pair_measure)
ultimately show ?thesis by simp
qed
proposition (in pair_sigma_finite) sigma_finite_up_in_pair_measure_generator:
defines "E \ {A \ B | A B. A \ sets M1 \ B \ sets M2}"
shows "\F::nat \ ('a \ 'b) set. range F \ E \ incseq F \ (\i. F i) = space M1 \ space M2 \
(\<forall>i. emeasure (M1 \<Otimes>\<^sub>M M2) (F i) \<noteq> \<infinity>)"
proof -
from M1.sigma_finite_incseq guess F1 . note F1 = this
from M2.sigma_finite_incseq guess F2 . note F2 = this
from F1 F2 have space: "space M1 = (\i. F1 i)" "space M2 = (\i. F2 i)" by auto
let ?F = "\i. F1 i \ F2 i"
show ?thesis
proof (intro exI[of _ ?F] conjI allI)
show "range ?F \ E" using F1 F2 by (auto simp: E_def) (metis range_subsetD)
next
have "space M1 \ space M2 \ (\i. ?F i)"
proof (intro subsetI)
fix x assume "x \ space M1 \ space M2"
then obtain i j where "fst x \ F1 i" "snd x \ F2 j"
by (auto simp: space)
then have "fst x \ F1 (max i j)" "snd x \ F2 (max j i)"
using \<open>incseq F1\<close> \<open>incseq F2\<close> unfolding incseq_def
by (force split: split_max)+
then have "(fst x, snd x) \ F1 (max i j) \ F2 (max i j)"
by (intro SigmaI) (auto simp add: max.commute)
then show "x \ (\i. ?F i)" by auto
qed
then show "(\i. ?F i) = space M1 \ space M2"
using space by (auto simp: space)
next
fix i show "incseq (\i. F1 i \ F2 i)"
using \<open>incseq F1\<close> \<open>incseq F2\<close> unfolding incseq_Suc_iff by auto
next
fix i
from F1 F2 have "F1 i \ sets M1" "F2 i \ sets M2" by auto
with F1 F2 show "emeasure (M1 \\<^sub>M M2) (F1 i \ F2 i) \ \"
by (auto simp add: emeasure_pair_measure_Times ennreal_mult_eq_top_iff)
qed
qed
sublocale\<^marker>\<open>tag unimportant\<close> pair_sigma_finite \<subseteq> P?: sigma_finite_measure "M1 \<Otimes>\<^sub>M M2"
proof
from M1.sigma_finite_countable guess F1 ..
moreover from M2.sigma_finite_countable guess F2 ..
ultimately show
"\A. countable A \ A \ sets (M1 \\<^sub>M M2) \ \A = space (M1 \\<^sub>M M2) \ (\a\A. emeasure (M1 \\<^sub>M M2) a \ \)"
by (intro exI[of _ "(\(a, b). a \ b) ` (F1 \ F2)"] conjI)
(auto simp: M2.emeasure_pair_measure_Times space_pair_measure set_eq_iff subset_eq ennreal_mult_eq_top_iff)
qed
lemma sigma_finite_pair_measure:
assumes A: "sigma_finite_measure A" and B: "sigma_finite_measure B"
shows "sigma_finite_measure (A \\<^sub>M B)"
proof -
interpret A: sigma_finite_measure A by fact
interpret B: sigma_finite_measure B by fact
interpret AB: pair_sigma_finite A B ..
show ?thesis ..
qed
lemma sets_pair_swap:
assumes "A \ sets (M1 \\<^sub>M M2)"
shows "(\(x, y). (y, x)) -` A \ space (M2 \\<^sub>M M1) \ sets (M2 \\<^sub>M M1)"
using measurable_pair_swap' assms by (rule measurable_sets)
lemma (in pair_sigma_finite) distr_pair_swap:
"M1 \\<^sub>M M2 = distr (M2 \\<^sub>M M1) (M1 \\<^sub>M M2) (\(x, y). (y, x))" (is "?P = ?D")
proof -
from sigma_finite_up_in_pair_measure_generator guess F :: "nat \ ('a \ 'b) set" .. note F = this
let ?E = "{a \ b |a b. a \ sets M1 \ b \ sets M2}"
show ?thesis
proof (rule measure_eqI_generator_eq[OF Int_stable_pair_measure_generator[of M1 M2]])
show "?E \ Pow (space ?P)"
using sets.space_closed[of M1] sets.space_closed[of M2] by (auto simp: space_pair_measure)
show "sets ?P = sigma_sets (space ?P) ?E"
by (simp add: sets_pair_measure space_pair_measure)
then show "sets ?D = sigma_sets (space ?P) ?E"
by simp
next
show "range F \ ?E" "(\i. F i) = space ?P" "\i. emeasure ?P (F i) \ \"
using F by (auto simp: space_pair_measure)
next
fix X assume "X \ ?E"
then obtain A B where X[simp]: "X = A \ B" and A: "A \ sets M1" and B: "B \ sets M2" by auto
have "(\(y, x). (x, y)) -` X \ space (M2 \\<^sub>M M1) = B \ A"
using sets.sets_into_space[OF A] sets.sets_into_space[OF B] by (auto simp: space_pair_measure)
with A B show "emeasure (M1 \\<^sub>M M2) X = emeasure ?D X"
by (simp add: M2.emeasure_pair_measure_Times M1.emeasure_pair_measure_Times emeasure_distr
measurable_pair_swap' ac_simps)
qed
qed
lemma (in pair_sigma_finite) emeasure_pair_measure_alt2:
assumes A: "A \ sets (M1 \\<^sub>M M2)"
shows "emeasure (M1 \\<^sub>M M2) A = (\\<^sup>+y. emeasure M1 ((\x. (x, y)) -` A) \M2)"
(is "_ = ?\ A")
proof -
have [simp]: "\y. (Pair y -` ((\(x, y). (y, x)) -` A \ space (M2 \\<^sub>M M1))) = (\x. (x, y)) -` A"
using sets.sets_into_space[OF A] by (auto simp: space_pair_measure)
show ?thesis using A
by (subst distr_pair_swap)
(simp_all del: vimage_Int add: measurable_sets[OF measurable_pair_swap']
M1.emeasure_pair_measure_alt emeasure_distr[OF measurable_pair_swap' A])
qed
lemma (in pair_sigma_finite) AE_pair:
assumes "AE x in (M1 \\<^sub>M M2). Q x"
shows "AE x in M1. (AE y in M2. Q (x, y))"
proof -
obtain N where N: "N \ sets (M1 \\<^sub>M M2)" "emeasure (M1 \\<^sub>M M2) N = 0" "{x\space (M1 \\<^sub>M M2). \ Q x} \ N"
using assms unfolding eventually_ae_filter by auto
show ?thesis
proof (rule AE_I)
from N measurable_emeasure_Pair1[OF \<open>N \<in> sets (M1 \<Otimes>\<^sub>M M2)\<close>]
show "emeasure M1 {x\space M1. emeasure M2 (Pair x -` N) \ 0} = 0"
by (auto simp: M2.emeasure_pair_measure_alt nn_integral_0_iff)
show "{x \ space M1. emeasure M2 (Pair x -` N) \ 0} \ sets M1"
by (intro borel_measurable_eq measurable_emeasure_Pair1 N sets.sets_Collect_neg N) simp
{ fix x assume "x \ space M1" "emeasure M2 (Pair x -` N) = 0"
have "AE y in M2. Q (x, y)"
proof (rule AE_I)
show "emeasure M2 (Pair x -` N) = 0" by fact
show "Pair x -` N \ sets M2" using N(1) by (rule sets_Pair1)
show "{y \ space M2. \ Q (x, y)} \ Pair x -` N"
using N \<open>x \<in> space M1\<close> unfolding space_pair_measure by auto
qed }
then show "{x \ space M1. \ (AE y in M2. Q (x, y))} \ {x \ space M1. emeasure M2 (Pair x -` N) \ 0}"
by auto
qed
qed
lemma (in pair_sigma_finite) AE_pair_measure:
assumes "{x\space (M1 \\<^sub>M M2). P x} \ sets (M1 \\<^sub>M M2)"
assumes ae: "AE x in M1. AE y in M2. P (x, y)"
shows "AE x in M1 \\<^sub>M M2. P x"
proof (subst AE_iff_measurable[OF _ refl])
show "{x\space (M1 \\<^sub>M M2). \ P x} \ sets (M1 \\<^sub>M M2)"
by (rule sets.sets_Collect) fact
then have "emeasure (M1 \\<^sub>M M2) {x \ space (M1 \\<^sub>M M2). \ P x} =
(\<integral>\<^sup>+ x. \<integral>\<^sup>+ y. indicator {x \<in> space (M1 \<Otimes>\<^sub>M M2). \<not> P x} (x, y) \<partial>M2 \<partial>M1)"
by (simp add: M2.emeasure_pair_measure)
also have "\ = (\\<^sup>+ x. \\<^sup>+ y. 0 \M2 \M1)"
using ae
apply (safe intro!: nn_integral_cong_AE)
apply (intro AE_I2)
apply (safe intro!: nn_integral_cong_AE)
apply auto
done
finally show "emeasure (M1 \\<^sub>M M2) {x \ space (M1 \\<^sub>M M2). \ P x} = 0" by simp
qed
lemma (in pair_sigma_finite) AE_pair_iff:
"{x\space (M1 \\<^sub>M M2). P (fst x) (snd x)} \ sets (M1 \\<^sub>M M2) \
(AE x in M1. AE y in M2. P x y) \<longleftrightarrow> (AE x in (M1 \<Otimes>\<^sub>M M2). P (fst x) (snd x))"
using AE_pair[of "\x. P (fst x) (snd x)"] AE_pair_measure[of "\x. P (fst x) (snd x)"] by auto
lemma (in pair_sigma_finite) AE_commute:
assumes P: "{x\space (M1 \\<^sub>M M2). P (fst x) (snd x)} \ sets (M1 \\<^sub>M M2)"
shows "(AE x in M1. AE y in M2. P x y) \ (AE y in M2. AE x in M1. P x y)"
proof -
interpret Q: pair_sigma_finite M2 M1 ..
have [simp]: "\x. (fst (case x of (x, y) \ (y, x))) = snd x" "\x. (snd (case x of (x, y) \ (y, x))) = fst x"
by auto
have "{x \ space (M2 \\<^sub>M M1). P (snd x) (fst x)} =
(\<lambda>(x, y). (y, x)) -` {x \<in> space (M1 \<Otimes>\<^sub>M M2). P (fst x) (snd x)} \<inter> space (M2 \<Otimes>\<^sub>M M1)"
by (auto simp: space_pair_measure)
also have "\ \ sets (M2 \\<^sub>M M1)"
by (intro sets_pair_swap P)
finally show ?thesis
apply (subst AE_pair_iff[OF P])
apply (subst distr_pair_swap)
apply (subst AE_distr_iff[OF measurable_pair_swap' P])
apply (subst Q.AE_pair_iff)
apply simp_all
done
qed
subsection "Fubinis theorem"
lemma measurable_compose_Pair1:
"x \ space M1 \ g \ measurable (M1 \\<^sub>M M2) L \ (\y. g (x, y)) \ measurable M2 L"
by simp
lemma (in sigma_finite_measure) borel_measurable_nn_integral_fst:
assumes f: "f \ borel_measurable (M1 \\<^sub>M M)"
shows "(\x. \\<^sup>+ y. f (x, y) \M) \ borel_measurable M1"
using f proof induct
case (cong u v)
then have "\w x. w \ space M1 \ x \ space M \ u (w, x) = v (w, x)"
by (auto simp: space_pair_measure)
show ?case
apply (subst measurable_cong)
apply (rule nn_integral_cong)
apply fact+
done
next
case (set Q)
have [simp]: "\x y. indicator Q (x, y) = indicator (Pair x -` Q) y"
by (auto simp: indicator_def)
have "\x. x \ space M1 \ emeasure M (Pair x -` Q) = \\<^sup>+ y. indicator Q (x, y) \M"
by (simp add: sets_Pair1[OF set])
from this measurable_emeasure_Pair[OF set] show ?case
by (rule measurable_cong[THEN iffD1])
qed (simp_all add: nn_integral_add nn_integral_cmult measurable_compose_Pair1
nn_integral_monotone_convergence_SUP incseq_def le_fun_def image_comp
cong: measurable_cong)
lemma (in sigma_finite_measure) nn_integral_fst:
assumes f: "f \ borel_measurable (M1 \\<^sub>M M)"
shows "(\\<^sup>+ x. \\<^sup>+ y. f (x, y) \M \M1) = integral\<^sup>N (M1 \\<^sub>M M) f" (is "?I f = _")
using f proof induct
case (cong u v)
then have "?I u = ?I v"
by (intro nn_integral_cong) (auto simp: space_pair_measure)
with cong show ?case
by (simp cong: nn_integral_cong)
qed (simp_all add: emeasure_pair_measure nn_integral_cmult nn_integral_add
nn_integral_monotone_convergence_SUP measurable_compose_Pair1
borel_measurable_nn_integral_fst nn_integral_mono incseq_def le_fun_def image_comp
cong: nn_integral_cong)
lemma (in sigma_finite_measure) borel_measurable_nn_integral[measurable (raw)]:
"case_prod f \ borel_measurable (N \\<^sub>M M) \ (\x. \\<^sup>+ y. f x y \M) \ borel_measurable N"
using borel_measurable_nn_integral_fst[of "case_prod f" N] by simp
proposition (in pair_sigma_finite) nn_integral_snd:
assumes f[measurable]: "f \ borel_measurable (M1 \\<^sub>M M2)"
shows "(\\<^sup>+ y. (\\<^sup>+ x. f (x, y) \M1) \M2) = integral\<^sup>N (M1 \\<^sub>M M2) f"
proof -
note measurable_pair_swap[OF f]
from M1.nn_integral_fst[OF this]
have "(\\<^sup>+ y. (\\<^sup>+ x. f (x, y) \M1) \M2) = (\\<^sup>+ (x, y). f (y, x) \(M2 \\<^sub>M M1))"
by simp
also have "(\\<^sup>+ (x, y). f (y, x) \(M2 \\<^sub>M M1)) = integral\<^sup>N (M1 \\<^sub>M M2) f"
by (subst distr_pair_swap) (auto simp add: nn_integral_distr intro!: nn_integral_cong)
finally show ?thesis .
qed
theorem (in pair_sigma_finite) Fubini:
assumes f: "f \ borel_measurable (M1 \\<^sub>M M2)"
shows "(\\<^sup>+ y. (\\<^sup>+ x. f (x, y) \M1) \M2) = (\\<^sup>+ x. (\\<^sup>+ y. f (x, y) \M2) \M1)"
unfolding nn_integral_snd[OF assms] M2.nn_integral_fst[OF assms] ..
theorem (in pair_sigma_finite) Fubini':
assumes f: "case_prod f \ borel_measurable (M1 \\<^sub>M M2)"
shows "(\\<^sup>+ y. (\\<^sup>+ x. f x y \M1) \M2) = (\\<^sup>+ x. (\\<^sup>+ y. f x y \M2) \M1)"
using Fubini[OF f] by simp
subsection \<open>Products on counting spaces, densities and distributions\<close>
proposition sigma_prod:
assumes X_cover: "\E\A. countable E \ X = \E" and A: "A \ Pow X"
assumes Y_cover: "\E\B. countable E \ Y = \E" and B: "B \ Pow Y"
shows "sigma X A \\<^sub>M sigma Y B = sigma (X \ Y) {a \ b | a b. a \ A \ b \ B}"
(is "?P = ?S")
proof (rule measure_eqI)
have [simp]: "snd \ X \ Y \ Y" "fst \ X \ Y \ X"
by auto
let ?XY = "{{fst -` a \ X \ Y | a. a \ A}, {snd -` b \ X \ Y | b. b \ B}}"
have "sets ?P = sets (SUP xy\?XY. sigma (X \ Y) xy)"
by (simp add: vimage_algebra_sigma sets_pair_eq_sets_fst_snd A B)
also have "\ = sets (sigma (X \ Y) (\?XY))"
by (intro Sup_sigma arg_cong[where f=sets]) auto
also have "\ = sets ?S"
proof (intro arg_cong[where f=sets] sigma_eqI sigma_sets_eqI)
show "\?XY \ Pow (X \ Y)" "{a \ b |a b. a \ A \ b \ B} \ Pow (X \ Y)"
using A B by auto
next
interpret XY: sigma_algebra "X \ Y" "sigma_sets (X \ Y) {a \ b |a b. a \ A \ b \ B}"
using A B by (intro sigma_algebra_sigma_sets) auto
fix Z assume "Z \ \?XY"
then show "Z \ sigma_sets (X \ Y) {a \ b |a b. a \ A \ b \ B}"
proof safe
fix a assume "a \ A"
from Y_cover obtain E where E: "E \ B" "countable E" and "Y = \E"
by auto
with \<open>a \<in> A\<close> A have eq: "fst -` a \<inter> X \<times> Y = (\<Union>e\<in>E. a \<times> e)"
by auto
show "fst -` a \ X \ Y \ sigma_sets (X \ Y) {a \ b |a b. a \ A \ b \ B}"
using \<open>a \<in> A\<close> E unfolding eq by (auto intro!: XY.countable_UN')
next
fix b assume "b \ B"
from X_cover obtain E where E: "E \ A" "countable E" and "X = \E"
by auto
with \<open>b \<in> B\<close> B have eq: "snd -` b \<inter> X \<times> Y = (\<Union>e\<in>E. e \<times> b)"
by auto
show "snd -` b \ X \ Y \ sigma_sets (X \ Y) {a \ b |a b. a \ A \ b \ B}"
using \<open>b \<in> B\<close> E unfolding eq by (auto intro!: XY.countable_UN')
qed
next
fix Z assume "Z \ {a \ b |a b. a \ A \ b \ B}"
then obtain a b where "Z = a \ b" and ab: "a \ A" "b \ B"
by auto
then have Z: "Z = (fst -` a \ X \ Y) \ (snd -` b \ X \ Y)"
using A B by auto
interpret XY: sigma_algebra "X \ Y" "sigma_sets (X \ Y) (\?XY)"
by (intro sigma_algebra_sigma_sets) auto
show "Z \ sigma_sets (X \ Y) (\?XY)"
unfolding Z by (rule XY.Int) (blast intro: ab)+
qed
finally show "sets ?P = sets ?S" .
next
interpret finite_measure "sigma X A" for X A
proof qed (simp add: emeasure_sigma)
fix A assume "A \ sets ?P" then show "emeasure ?P A = emeasure ?S A"
by (simp add: emeasure_pair_measure_alt emeasure_sigma)
qed
lemma sigma_sets_pair_measure_generator_finite:
assumes "finite A" and "finite B"
shows "sigma_sets (A \ B) { a \ b | a b. a \ A \ b \ B} = Pow (A \ B)"
(is "sigma_sets ?prod ?sets = _")
proof safe
have fin: "finite (A \ B)" using assms by (rule finite_cartesian_product)
fix x assume subset: "x \ A \ B"
hence "finite x" using fin by (rule finite_subset)
from this subset show "x \ sigma_sets ?prod ?sets"
proof (induct x)
case empty show ?case by (rule sigma_sets.Empty)
next
case (insert a x)
hence "{a} \ sigma_sets ?prod ?sets" by auto
moreover have "x \ sigma_sets ?prod ?sets" using insert by auto
ultimately show ?case unfolding insert_is_Un[of a x] by (rule sigma_sets_Un)
qed
next
fix x a b
assume "x \ sigma_sets ?prod ?sets" and "(a, b) \ x"
from sigma_sets_into_sp[OF _ this(1)] this(2)
show "a \ A" and "b \ B" by auto
qed
proposition sets_pair_eq:
assumes Ea: "Ea \ Pow (space A)" "sets A = sigma_sets (space A) Ea"
and Ca: "countable Ca" "Ca \ Ea" "\Ca = space A"
and Eb: "Eb \ Pow (space B)" "sets B = sigma_sets (space B) Eb"
and Cb: "countable Cb" "Cb \ Eb" "\Cb = space B"
shows "sets (A \\<^sub>M B) = sets (sigma (space A \ space B) { a \ b | a b. a \ Ea \ b \ Eb })"
(is "_ = sets (sigma ?\ ?E)")
proof
show "sets (sigma ?\ ?E) \ sets (A \\<^sub>M B)"
using Ea(1) Eb(1) by (subst sigma_le_sets) (auto simp: Ea(2) Eb(2))
have "?E \ Pow ?\"
using Ea(1) Eb(1) by auto
then have E: "a \ Ea \ b \ Eb \ a \ b \ sets (sigma ?\ ?E)" for a b
by auto
have "sets (A \\<^sub>M B) \ sets (Sup {vimage_algebra ?\ fst A, vimage_algebra ?\ snd B})"
unfolding sets_pair_eq_sets_fst_snd ..
also have "vimage_algebra ?\ fst A = vimage_algebra ?\ fst (sigma (space A) Ea)"
by (intro vimage_algebra_cong[OF refl refl]) (simp add: Ea)
also have "\ = sigma ?\ {fst -` A \ ?\ |A. A \ Ea}"
by (intro Ea vimage_algebra_sigma) auto
also have "vimage_algebra ?\ snd B = vimage_algebra ?\ snd (sigma (space B) Eb)"
by (intro vimage_algebra_cong[OF refl refl]) (simp add: Eb)
also have "\ = sigma ?\ {snd -` A \ ?\ |A. A \ Eb}"
by (intro Eb vimage_algebra_sigma) auto
also have "{sigma ?\ {fst -` Aa \ ?\ |Aa. Aa \ Ea}, sigma ?\ {snd -` Aa \ ?\ |Aa. Aa \ Eb}} =
sigma ?\<Omega> ` {{fst -` Aa \<inter> ?\<Omega> |Aa. Aa \<in> Ea}, {snd -` Aa \<inter> ?\<Omega> |Aa. Aa \<in> Eb}}"
by auto
also have "sets (SUP S\{{fst -` Aa \ ?\ |Aa. Aa \ Ea}, {snd -` Aa \ ?\ |Aa. Aa \ Eb}}. sigma ?\ S) =
sets (sigma ?\<Omega> (\<Union>{{fst -` Aa \<inter> ?\<Omega> |Aa. Aa \<in> Ea}, {snd -` Aa \<inter> ?\<Omega> |Aa. Aa \<in> Eb}}))"
using Ea(1) Eb(1) by (intro sets_Sup_sigma) auto
also have "\ \ sets (sigma ?\ ?E)"
proof (subst sigma_le_sets, safe intro!: space_in_measure_of)
fix a assume "a \ Ea"
then have "fst -` a \ ?\ = (\b\Cb. a \ b)"
using Cb(3)[symmetric] Ea(1) by auto
then show "fst -` a \ ?\ \ sets (sigma ?\ ?E)"
using Cb \<open>a \<in> Ea\<close> by (auto intro!: sets.countable_UN' E)
next
fix b assume "b \ Eb"
then have "snd -` b \ ?\ = (\a\Ca. a \ b)"
using Ca(3)[symmetric] Eb(1) by auto
then show "snd -` b \ ?\ \ sets (sigma ?\ ?E)"
using Ca \<open>b \<in> Eb\<close> by (auto intro!: sets.countable_UN' E)
qed
finally show "sets (A \\<^sub>M B) \ sets (sigma ?\ ?E)" .
qed
proposition borel_prod:
"(borel \\<^sub>M borel) = (borel :: ('a::second_countable_topology \ 'b::second_countable_topology) measure)"
(is "?P = ?B")
proof -
have "?B = sigma UNIV {A \ B | A B. open A \ open B}"
by (rule second_countable_borel_measurable[OF open_prod_generated])
also have "\ = ?P"
unfolding borel_def
by (subst sigma_prod) (auto intro!: exI[of _ "{UNIV}"])
finally show ?thesis ..
qed
proposition pair_measure_count_space:
assumes A: "finite A" and B: "finite B"
shows "count_space A \\<^sub>M count_space B = count_space (A \ B)" (is "?P = ?C")
proof (rule measure_eqI)
interpret A: finite_measure "count_space A" by (rule finite_measure_count_space) fact
interpret B: finite_measure "count_space B" by (rule finite_measure_count_space) fact
interpret P: pair_sigma_finite "count_space A" "count_space B" ..
show eq: "sets ?P = sets ?C"
by (simp add: sets_pair_measure sigma_sets_pair_measure_generator_finite A B)
fix X assume X: "X \ sets ?P"
with eq have X_subset: "X \ A \ B" by simp
with A B have fin_Pair: "\x. finite (Pair x -` X)"
by (intro finite_subset[OF _ B]) auto
have fin_X: "finite X" using X_subset by (rule finite_subset) (auto simp: A B)
have card: "0 < card (Pair a -` X)" if "(a, b) \ X" for a b
using card_gt_0_iff fin_Pair that by auto
then have "emeasure ?P X = \\<^sup>+ x. emeasure (count_space B) (Pair x -` X)
\<partial>count_space A"
by (simp add: B.emeasure_pair_measure_alt X)
also have "... = emeasure ?C X"
apply (subst emeasure_count_space)
using card X_subset A fin_Pair fin_X
apply (auto simp add: nn_integral_count_space
of_nat_sum[symmetric] card_SigmaI[symmetric]
simp del: card_SigmaI
intro!: arg_cong[where f=card])
done
finally show "emeasure ?P X = emeasure ?C X" .
qed
lemma emeasure_prod_count_space:
assumes A: "A \ sets (count_space UNIV \\<^sub>M M)" (is "A \ sets (?A \\<^sub>M ?B)")
shows "emeasure (?A \\<^sub>M ?B) A = (\\<^sup>+ x. \\<^sup>+ y. indicator A (x, y) \?B \?A)"
by (rule emeasure_measure_of[OF pair_measure_def])
(auto simp: countably_additive_def positive_def suminf_indicator A
nn_integral_suminf[symmetric] dest: sets.sets_into_space)
lemma emeasure_prod_count_space_single[simp]: "emeasure (count_space UNIV \\<^sub>M count_space UNIV) {x} = 1"
proof -
have [simp]: "\a b x y. indicator {(a, b)} (x, y) = (indicator {a} x * indicator {b} y::ennreal)"
by (auto split: split_indicator)
show ?thesis
by (cases x) (auto simp: emeasure_prod_count_space nn_integral_cmult sets_Pair)
qed
lemma emeasure_count_space_prod_eq:
fixes A :: "('a \ 'b) set"
assumes A: "A \ sets (count_space UNIV \\<^sub>M count_space UNIV)" (is "A \ sets (?A \\<^sub>M ?B)")
shows "emeasure (?A \\<^sub>M ?B) A = emeasure (count_space UNIV) A"
proof -
{ fix A :: "('a \ 'b) set" assume "countable A"
then have "emeasure (?A \\<^sub>M ?B) (\a\A. {a}) = (\\<^sup>+a. emeasure (?A \\<^sub>M ?B) {a} \count_space A)"
by (intro emeasure_UN_countable) (auto simp: sets_Pair disjoint_family_on_def)
also have "\ = (\\<^sup>+a. indicator A a \count_space UNIV)"
by (subst nn_integral_count_space_indicator) auto
finally have "emeasure (?A \\<^sub>M ?B) A = emeasure (count_space UNIV) A"
by simp }
note * = this
show ?thesis
proof cases
assume "finite A" then show ?thesis
by (intro * countable_finite)
next
assume "infinite A"
then obtain C where "countable C" and "infinite C" and "C \ A"
by (auto dest: infinite_countable_subset')
with A have "emeasure (?A \\<^sub>M ?B) C \ emeasure (?A \\<^sub>M ?B) A"
by (intro emeasure_mono) auto
also have "emeasure (?A \\<^sub>M ?B) C = emeasure (count_space UNIV) C"
using \<open>countable C\<close> by (rule *)
finally show ?thesis
using \<open>infinite C\<close> \<open>infinite A\<close> by (simp add: top_unique)
qed
qed
lemma nn_integral_count_space_prod_eq:
"nn_integral (count_space UNIV \\<^sub>M count_space UNIV) f = nn_integral (count_space UNIV) f"
(is "nn_integral ?P f = _")
proof cases
assume cntbl: "countable {x. f x \ 0}"
have [simp]: "\x. card ({x} \ {x. f x \ 0}) = (indicator {x. f x \ 0} x::ennreal)"
by (auto split: split_indicator)
have [measurable]: "\y. (\x. indicator {y} x) \ borel_measurable ?P"
by (rule measurable_discrete_difference[of "\x. 0" _ borel "{y}" "\x. indicator {y} x" for y])
(auto intro: sets_Pair)
have "(\\<^sup>+x. f x \?P) = (\\<^sup>+x. \\<^sup>+x'. f x * indicator {x} x' \count_space {x. f x \ 0} \?P)"
by (auto simp add: nn_integral_cmult nn_integral_indicator' intro!: nn_integral_cong split: split_indicator)
also have "\ = (\\<^sup>+x. \\<^sup>+x'. f x' * indicator {x'} x \count_space {x. f x \ 0} \?P)"
by (auto intro!: nn_integral_cong split: split_indicator)
also have "\ = (\\<^sup>+x'. \\<^sup>+x. f x' * indicator {x'} x \?P \count_space {x. f x \ 0})"
by (intro nn_integral_count_space_nn_integral cntbl) auto
also have "\ = (\\<^sup>+x'. f x' \count_space {x. f x \ 0})"
by (intro nn_integral_cong) (auto simp: nn_integral_cmult sets_Pair)
finally show ?thesis
by (auto simp add: nn_integral_count_space_indicator intro!: nn_integral_cong split: split_indicator)
next
{ fix x assume "f x \ 0"
then have "(\r\0. 0 < r \ f x = ennreal r) \ f x = \"
by (cases "f x" rule: ennreal_cases) (auto simp: less_le)
then have "\n. ennreal (1 / real (Suc n)) \ f x"
by (auto elim!: nat_approx_posE intro!: less_imp_le) }
note * = this
assume cntbl: "uncountable {x. f x \ 0}"
also have "{x. f x \ 0} = (\n. {x. 1/Suc n \ f x})"
using * by auto
finally obtain n where "infinite {x. 1/Suc n \ f x}"
by (meson countableI_type countable_UN uncountable_infinite)
then obtain C where C: "C \ {x. 1/Suc n \ f x}" and "countable C" "infinite C"
by (metis infinite_countable_subset')
have [measurable]: "C \ sets ?P"
using sets.countable[OF _ \<open>countable C\<close>, of ?P] by (auto simp: sets_Pair)
have "(\\<^sup>+x. ennreal (1/Suc n) * indicator C x \?P) \ nn_integral ?P f"
using C by (intro nn_integral_mono) (auto split: split_indicator simp: zero_ereal_def[symmetric])
moreover have "(\\<^sup>+x. ennreal (1/Suc n) * indicator C x \?P) = \"
using \<open>infinite C\<close> by (simp add: nn_integral_cmult emeasure_count_space_prod_eq ennreal_mult_top)
moreover have "(\\<^sup>+x. ennreal (1/Suc n) * indicator C x \count_space UNIV) \ nn_integral (count_space UNIV) f"
using C by (intro nn_integral_mono) (auto split: split_indicator simp: zero_ereal_def[symmetric])
moreover have "(\\<^sup>+x. ennreal (1/Suc n) * indicator C x \count_space UNIV) = \"
using \<open>infinite C\<close> by (simp add: nn_integral_cmult ennreal_mult_top)
ultimately show ?thesis
by (simp add: top_unique)
qed
theorem pair_measure_density:
assumes f: "f \ borel_measurable M1"
assumes g: "g \ borel_measurable M2"
assumes "sigma_finite_measure M2" "sigma_finite_measure (density M2 g)"
shows "density M1 f \\<^sub>M density M2 g = density (M1 \\<^sub>M M2) (\(x,y). f x * g y)" (is "?L = ?R")
proof (rule measure_eqI)
interpret M2: sigma_finite_measure M2 by fact
interpret D2: sigma_finite_measure "density M2 g" by fact
fix A assume A: "A \ sets ?L"
with f g have "(\\<^sup>+ x. f x * \\<^sup>+ y. g y * indicator A (x, y) \M2 \M1) =
(\<integral>\<^sup>+ x. \<integral>\<^sup>+ y. f x * g y * indicator A (x, y) \<partial>M2 \<partial>M1)"
by (intro nn_integral_cong_AE)
(auto simp add: nn_integral_cmult[symmetric] ac_simps)
with A f g show "emeasure ?L A = emeasure ?R A"
by (simp add: D2.emeasure_pair_measure emeasure_density nn_integral_density
M2.nn_integral_fst[symmetric]
cong: nn_integral_cong)
qed simp
lemma sigma_finite_measure_distr:
assumes "sigma_finite_measure (distr M N f)" and f: "f \ measurable M N"
shows "sigma_finite_measure M"
proof -
interpret sigma_finite_measure "distr M N f" by fact
from sigma_finite_countable guess A .. note A = this
show ?thesis
proof
show "\A. countable A \ A \ sets M \ \A = space M \ (\a\A. emeasure M a \ \)"
using A f
by (intro exI[of _ "(\a. f -` a \ space M) ` A"])
(auto simp: emeasure_distr set_eq_iff subset_eq intro: measurable_space)
qed
qed
lemma pair_measure_distr:
assumes f: "f \ measurable M S" and g: "g \ measurable N T"
assumes "sigma_finite_measure (distr N T g)"
shows "distr M S f \\<^sub>M distr N T g = distr (M \\<^sub>M N) (S \\<^sub>M T) (\(x, y). (f x, g y))" (is "?P = ?D")
proof (rule measure_eqI)
interpret T: sigma_finite_measure "distr N T g" by fact
interpret N: sigma_finite_measure N by (rule sigma_finite_measure_distr) fact+
fix A assume A: "A \ sets ?P"
with f g show "emeasure ?P A = emeasure ?D A"
by (auto simp add: N.emeasure_pair_measure_alt space_pair_measure emeasure_distr
T.emeasure_pair_measure_alt nn_integral_distr
intro!: nn_integral_cong arg_cong[where f="emeasure N"])
qed simp
lemma pair_measure_eqI:
assumes "sigma_finite_measure M1" "sigma_finite_measure M2"
assumes sets: "sets (M1 \\<^sub>M M2) = sets M"
assumes emeasure: "\A B. A \ sets M1 \ B \ sets M2 \ emeasure M1 A * emeasure M2 B = emeasure M (A \ B)"
shows "M1 \\<^sub>M M2 = M"
proof -
interpret M1: sigma_finite_measure M1 by fact
interpret M2: sigma_finite_measure M2 by fact
interpret pair_sigma_finite M1 M2 ..
from sigma_finite_up_in_pair_measure_generator guess F :: "nat \ ('a \ 'b) set" .. note F = this
let ?E = "{a \ b |a b. a \ sets M1 \ b \ sets M2}"
let ?P = "M1 \\<^sub>M M2"
show ?thesis
proof (rule measure_eqI_generator_eq[OF Int_stable_pair_measure_generator[of M1 M2]])
show "?E \ Pow (space ?P)"
using sets.space_closed[of M1] sets.space_closed[of M2] by (auto simp: space_pair_measure)
show "sets ?P = sigma_sets (space ?P) ?E"
by (simp add: sets_pair_measure space_pair_measure)
then show "sets M = sigma_sets (space ?P) ?E"
using sets[symmetric] by simp
next
show "range F \ ?E" "(\i. F i) = space ?P" "\i. emeasure ?P (F i) \ \"
using F by (auto simp: space_pair_measure)
next
fix X assume "X \ ?E"
then obtain A B where X[simp]: "X = A \ B" and A: "A \ sets M1" and B: "B \ sets M2" by auto
then have "emeasure ?P X = emeasure M1 A * emeasure M2 B"
by (simp add: M2.emeasure_pair_measure_Times)
also have "\ = emeasure M (A \ B)"
using A B emeasure by auto
finally show "emeasure ?P X = emeasure M X"
by simp
qed
qed
lemma sets_pair_countable:
assumes "countable S1" "countable S2"
assumes M: "sets M = Pow S1" and N: "sets N = Pow S2"
shows "sets (M \\<^sub>M N) = Pow (S1 \ S2)"
proof auto
fix x a b assume x: "x \ sets (M \\<^sub>M N)" "(a, b) \ x"
from sets.sets_into_space[OF x(1)] x(2)
sets_eq_imp_space_eq[of N "count_space S2"] sets_eq_imp_space_eq[of M "count_space S1"] M N
show "a \ S1" "b \ S2"
by (auto simp: space_pair_measure)
next
fix X assume X: "X \ S1 \ S2"
then have "countable X"
by (metis countable_subset \<open>countable S1\<close> \<open>countable S2\<close> countable_SIGMA)
have "X = (\(a, b)\X. {a} \ {b})" by auto
also have "\ \ sets (M \\<^sub>M N)"
using X
by (safe intro!: sets.countable_UN' \countable X\ subsetI pair_measureI) (auto simp: M N)
finally show "X \ sets (M \\<^sub>M N)" .
qed
lemma pair_measure_countable:
assumes "countable S1" "countable S2"
shows "count_space S1 \\<^sub>M count_space S2 = count_space (S1 \ S2)"
proof (rule pair_measure_eqI)
show "sigma_finite_measure (count_space S1)" "sigma_finite_measure (count_space S2)"
using assms by (auto intro!: sigma_finite_measure_count_space_countable)
show "sets (count_space S1 \\<^sub>M count_space S2) = sets (count_space (S1 \ S2))"
by (subst sets_pair_countable[OF assms]) auto
next
fix A B assume "A \ sets (count_space S1)" "B \ sets (count_space S2)"
then show "emeasure (count_space S1) A * emeasure (count_space S2) B =
emeasure (count_space (S1 \<times> S2)) (A \<times> B)"
by (subst (1 2 3) emeasure_count_space) (auto simp: finite_cartesian_product_iff ennreal_mult_top ennreal_top_mult)
qed
proposition nn_integral_fst_count_space:
"(\\<^sup>+ x. \\<^sup>+ y. f (x, y) \count_space UNIV \count_space UNIV) = integral\<^sup>N (count_space UNIV) f"
(is "?lhs = ?rhs")
proof(cases)
assume *: "countable {xy. f xy \ 0}"
let ?A = "fst ` {xy. f xy \ 0}"
let ?B = "snd ` {xy. f xy \ 0}"
from * have [simp]: "countable ?A" "countable ?B" by(rule countable_image)+
have "?lhs = (\\<^sup>+ x. \\<^sup>+ y. f (x, y) \count_space UNIV \count_space ?A)"
by(rule nn_integral_count_space_eq)
(auto simp add: nn_integral_0_iff_AE AE_count_space not_le intro: rev_image_eqI)
also have "\ = (\\<^sup>+ x. \\<^sup>+ y. f (x, y) \count_space ?B \count_space ?A)"
by(intro nn_integral_count_space_eq nn_integral_cong)(auto intro: rev_image_eqI)
also have "\ = (\\<^sup>+ xy. f xy \count_space (?A \ ?B))"
by(subst sigma_finite_measure.nn_integral_fst)
(simp_all add: sigma_finite_measure_count_space_countable pair_measure_countable)
also have "\ = ?rhs"
by(rule nn_integral_count_space_eq)(auto intro: rev_image_eqI)
finally show ?thesis .
next
{ fix xy assume "f xy \ 0"
then have "(\r\0. 0 < r \ f xy = ennreal r) \ f xy = \"
by (cases "f xy" rule: ennreal_cases) (auto simp: less_le)
then have "\n. ennreal (1 / real (Suc n)) \ f xy"
by (auto elim!: nat_approx_posE intro!: less_imp_le) }
note * = this
assume cntbl: "uncountable {xy. f xy \ 0}"
also have "{xy. f xy \ 0} = (\n. {xy. 1/Suc n \ f xy})"
using * by auto
finally obtain n where "infinite {xy. 1/Suc n \ f xy}"
by (meson countableI_type countable_UN uncountable_infinite)
then obtain C where C: "C \ {xy. 1/Suc n \ f xy}" and "countable C" "infinite C"
by (metis infinite_countable_subset')
have "\ = (\\<^sup>+ xy. ennreal (1 / Suc n) * indicator C xy \count_space UNIV)"
using \<open>infinite C\<close> by(simp add: nn_integral_cmult ennreal_mult_top)
also have "\ \ ?rhs" using C
by(intro nn_integral_mono)(auto split: split_indicator)
finally have "?rhs = \" by (simp add: top_unique)
moreover have "?lhs = \"
proof(cases "finite (fst ` C)")
case True
then obtain x C' where x: "x \ fst ` C"
and C': "C' = fst -` {x} \<inter> C"
and "infinite C'"
using \<open>infinite C\<close> by(auto elim!: inf_img_fin_domE')
from x C C' have **: "C' \<subseteq> {xy. 1 / Suc n \<le> f xy}" by auto
from C' \infinite C'\ have "infinite (snd ` C')"
by(auto dest!: finite_imageD simp add: inj_on_def)
then have "\ = (\\<^sup>+ y. ennreal (1 / Suc n) * indicator (snd ` C') y \count_space UNIV)"
by(simp add: nn_integral_cmult ennreal_mult_top)
also have "\ = (\\<^sup>+ y. ennreal (1 / Suc n) * indicator C' (x, y) \count_space UNIV)"
by(rule nn_integral_cong)(force split: split_indicator intro: rev_image_eqI simp add: C')
also have "\ = (\\<^sup>+ x'. (\\<^sup>+ y. ennreal (1 / Suc n) * indicator C' (x, y) \count_space UNIV) * indicator {x} x' \count_space UNIV)"
by(simp add: one_ereal_def[symmetric])
also have "\ \ (\\<^sup>+ x. \\<^sup>+ y. ennreal (1 / Suc n) * indicator C' (x, y) \count_space UNIV \count_space UNIV)"
by(rule nn_integral_mono)(simp split: split_indicator)
also have "\ \ ?lhs" using **
by(intro nn_integral_mono)(auto split: split_indicator)
finally show ?thesis by (simp add: top_unique)
next
case False
define C' where "C' = fst ` C"
have "\ = \\<^sup>+ x. ennreal (1 / Suc n) * indicator C' x \count_space UNIV"
using C'_def False by(simp add: nn_integral_cmult ennreal_mult_top)
also have "\ = \\<^sup>+ x. \\<^sup>+ y. ennreal (1 / Suc n) * indicator C' x * indicator {SOME y. (x, y) \ C} y \count_space UNIV \count_space UNIV"
by(auto simp add: one_ereal_def[symmetric] max_def intro: nn_integral_cong)
also have "\ \ \\<^sup>+ x. \\<^sup>+ y. ennreal (1 / Suc n) * indicator C (x, y) \count_space UNIV \count_space UNIV"
by(intro nn_integral_mono)(auto simp add: C'_def split: split_indicator intro: someI)
also have "\ \ ?lhs" using C
by(intro nn_integral_mono)(auto split: split_indicator)
finally show ?thesis by (simp add: top_unique)
qed
ultimately show ?thesis by simp
qed
proposition nn_integral_snd_count_space:
"(\\<^sup>+ y. \\<^sup>+ x. f (x, y) \count_space UNIV \count_space UNIV) = integral\<^sup>N (count_space UNIV) f"
(is "?lhs = ?rhs")
proof -
have "?lhs = (\\<^sup>+ y. \\<^sup>+ x. (\(y, x). f (x, y)) (y, x) \count_space UNIV \count_space UNIV)"
by(simp)
also have "\ = \\<^sup>+ yx. (\(y, x). f (x, y)) yx \count_space UNIV"
by(rule nn_integral_fst_count_space)
also have "\ = \\<^sup>+ xy. f xy \count_space ((\(x, y). (y, x)) ` UNIV)"
by(subst nn_integral_bij_count_space[OF inj_on_imp_bij_betw, symmetric])
(simp_all add: inj_on_def split_def)
also have "\ = ?rhs" by(rule nn_integral_count_space_eq) auto
finally show ?thesis .
qed
lemma measurable_pair_measure_countable1:
assumes "countable A"
and [measurable]: "\x. x \ A \ (\y. f (x, y)) \ measurable N K"
shows "f \ measurable (count_space A \\<^sub>M N) K"
using _ _ assms(1)
by(rule measurable_compose_countable'[where f="\a b. f (a, snd b)" and g=fst and I=A, simplified])simp_all
subsection \<open>Product of Borel spaces\<close>
theorem borel_Times:
fixes A :: "'a::topological_space set" and B :: "'b::topological_space set"
assumes A: "A \ sets borel" and B: "B \ sets borel"
shows "A \ B \ sets borel"
proof -
have "A \ B = (A\UNIV) \ (UNIV \ B)"
by auto
moreover
{ have "A \ sigma_sets UNIV {S. open S}" using A by (simp add: sets_borel)
then have "A\UNIV \ sets borel"
proof (induct A)
case (Basic S) then show ?case
by (auto intro!: borel_open open_Times)
next
case (Compl A)
moreover have *: "(UNIV - A) \ UNIV = UNIV - (A \ UNIV)"
by auto
ultimately show ?case
unfolding * by auto
next
case (Union A)
moreover have *: "(\(A ` UNIV)) \ UNIV = \((\i. A i \ UNIV) ` UNIV)"
by auto
ultimately show ?case
unfolding * by auto
qed simp }
moreover
{ have "B \ sigma_sets UNIV {S. open S}" using B by (simp add: sets_borel)
then have "UNIV\B \ sets borel"
proof (induct B)
case (Basic S) then show ?case
by (auto intro!: borel_open open_Times)
next
case (Compl B)
moreover have *: "UNIV \ (UNIV - B) = UNIV - (UNIV \ B)"
by auto
ultimately show ?case
unfolding * by auto
next
case (Union B)
moreover have *: "UNIV \ (\(B ` UNIV)) = \((\i. UNIV \ B i) ` UNIV)"
by auto
ultimately show ?case
unfolding * by auto
qed simp }
ultimately show ?thesis
by auto
qed
lemma finite_measure_pair_measure:
assumes "finite_measure M" "finite_measure N"
shows "finite_measure (N \\<^sub>M M)"
proof (rule finite_measureI)
interpret M: finite_measure M by fact
interpret N: finite_measure N by fact
show "emeasure (N \\<^sub>M M) (space (N \\<^sub>M M)) \ \"
by (auto simp: space_pair_measure M.emeasure_pair_measure_Times ennreal_mult_eq_top_iff)
qed
end
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