src/HOL/Multivariate_Analysis/Finite_Product_Measure.thy
changeset 63627 6ddb43c6b711
parent 63626 44ce6b524ff3
child 63631 2edc8da89edc
child 63633 2accfb71e33b
--- a/src/HOL/Multivariate_Analysis/Finite_Product_Measure.thy	Fri Aug 05 18:34:57 2016 +0200
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,1199 +0,0 @@
-(*  Title:      HOL/Probability/Finite_Product_Measure.thy
-    Author:     Johannes Hölzl, TU München
-*)
-
-section \<open>Finite product measures\<close>
-
-theory Finite_Product_Measure
-imports Binary_Product_Measure
-begin
-
-lemma PiE_choice: "(\<exists>f\<in>PiE I F. \<forall>i\<in>I. P i (f i)) \<longleftrightarrow> (\<forall>i\<in>I. \<exists>x\<in>F i. P i x)"
-  by (auto simp: Bex_def PiE_iff Ball_def dest!: choice_iff'[THEN iffD1])
-     (force intro: exI[of _ "restrict f I" for f])
-
-lemma case_prod_const: "(\<lambda>(i, j). c) = (\<lambda>_. c)"
-  by auto
-
-subsubsection \<open>More about Function restricted by @{const extensional}\<close>
-
-definition
-  "merge I J = (\<lambda>(x, y) i. if i \<in> I then x i else if i \<in> J then y i else undefined)"
-
-lemma merge_apply[simp]:
-  "I \<inter> J = {} \<Longrightarrow> i \<in> I \<Longrightarrow> merge I J (x, y) i = x i"
-  "I \<inter> J = {} \<Longrightarrow> i \<in> J \<Longrightarrow> merge I J (x, y) i = y i"
-  "J \<inter> I = {} \<Longrightarrow> i \<in> I \<Longrightarrow> merge I J (x, y) i = x i"
-  "J \<inter> I = {} \<Longrightarrow> i \<in> J \<Longrightarrow> merge I J (x, y) i = y i"
-  "i \<notin> I \<Longrightarrow> i \<notin> J \<Longrightarrow> merge I J (x, y) i = undefined"
-  unfolding merge_def by auto
-
-lemma merge_commute:
-  "I \<inter> J = {} \<Longrightarrow> merge I J (x, y) = merge J I (y, x)"
-  by (force simp: merge_def)
-
-lemma Pi_cancel_merge_range[simp]:
-  "I \<inter> J = {} \<Longrightarrow> x \<in> Pi I (merge I J (A, B)) \<longleftrightarrow> x \<in> Pi I A"
-  "I \<inter> J = {} \<Longrightarrow> x \<in> Pi I (merge J I (B, A)) \<longleftrightarrow> x \<in> Pi I A"
-  "J \<inter> I = {} \<Longrightarrow> x \<in> Pi I (merge I J (A, B)) \<longleftrightarrow> x \<in> Pi I A"
-  "J \<inter> I = {} \<Longrightarrow> x \<in> Pi I (merge J I (B, A)) \<longleftrightarrow> x \<in> Pi I A"
-  by (auto simp: Pi_def)
-
-lemma Pi_cancel_merge[simp]:
-  "I \<inter> J = {} \<Longrightarrow> merge I J (x, y) \<in> Pi I B \<longleftrightarrow> x \<in> Pi I B"
-  "J \<inter> I = {} \<Longrightarrow> merge I J (x, y) \<in> Pi I B \<longleftrightarrow> x \<in> Pi I B"
-  "I \<inter> J = {} \<Longrightarrow> merge I J (x, y) \<in> Pi J B \<longleftrightarrow> y \<in> Pi J B"
-  "J \<inter> I = {} \<Longrightarrow> merge I J (x, y) \<in> Pi J B \<longleftrightarrow> y \<in> Pi J B"
-  by (auto simp: Pi_def)
-
-lemma extensional_merge[simp]: "merge I J (x, y) \<in> extensional (I \<union> J)"
-  by (auto simp: extensional_def)
-
-lemma restrict_merge[simp]:
-  "I \<inter> J = {} \<Longrightarrow> restrict (merge I J (x, y)) I = restrict x I"
-  "I \<inter> J = {} \<Longrightarrow> restrict (merge I J (x, y)) J = restrict y J"
-  "J \<inter> I = {} \<Longrightarrow> restrict (merge I J (x, y)) I = restrict x I"
-  "J \<inter> I = {} \<Longrightarrow> restrict (merge I J (x, y)) J = restrict y J"
-  by (auto simp: restrict_def)
-
-lemma split_merge: "P (merge I J (x,y) i) \<longleftrightarrow> (i \<in> I \<longrightarrow> P (x i)) \<and> (i \<in> J - I \<longrightarrow> P (y i)) \<and> (i \<notin> I \<union> J \<longrightarrow> P undefined)"
-  unfolding merge_def by auto
-
-lemma PiE_cancel_merge[simp]:
-  "I \<inter> J = {} \<Longrightarrow>
-    merge I J (x, y) \<in> PiE (I \<union> J) B \<longleftrightarrow> x \<in> Pi I B \<and> y \<in> Pi J B"
-  by (auto simp: PiE_def restrict_Pi_cancel)
-
-lemma merge_singleton[simp]: "i \<notin> I \<Longrightarrow> merge I {i} (x,y) = restrict (x(i := y i)) (insert i I)"
-  unfolding merge_def by (auto simp: fun_eq_iff)
-
-lemma extensional_merge_sub: "I \<union> J \<subseteq> K \<Longrightarrow> merge I J (x, y) \<in> extensional K"
-  unfolding merge_def extensional_def by auto
-
-lemma merge_restrict[simp]:
-  "merge I J (restrict x I, y) = merge I J (x, y)"
-  "merge I J (x, restrict y J) = merge I J (x, y)"
-  unfolding merge_def by auto
-
-lemma merge_x_x_eq_restrict[simp]:
-  "merge I J (x, x) = restrict x (I \<union> J)"
-  unfolding merge_def by auto
-
-lemma injective_vimage_restrict:
-  assumes J: "J \<subseteq> I"
-  and sets: "A \<subseteq> (\<Pi>\<^sub>E i\<in>J. S i)" "B \<subseteq> (\<Pi>\<^sub>E i\<in>J. S i)" and ne: "(\<Pi>\<^sub>E i\<in>I. S i) \<noteq> {}"
-  and eq: "(\<lambda>x. restrict x J) -` A \<inter> (\<Pi>\<^sub>E i\<in>I. S i) = (\<lambda>x. restrict x J) -` B \<inter> (\<Pi>\<^sub>E i\<in>I. S i)"
-  shows "A = B"
-proof  (intro set_eqI)
-  fix x
-  from ne obtain y where y: "\<And>i. i \<in> I \<Longrightarrow> y i \<in> S i" by auto
-  have "J \<inter> (I - J) = {}" by auto
-  show "x \<in> A \<longleftrightarrow> x \<in> B"
-  proof cases
-    assume x: "x \<in> (\<Pi>\<^sub>E i\<in>J. S i)"
-    have "x \<in> A \<longleftrightarrow> merge J (I - J) (x,y) \<in> (\<lambda>x. restrict x J) -` A \<inter> (\<Pi>\<^sub>E i\<in>I. S i)"
-      using y x \<open>J \<subseteq> I\<close> PiE_cancel_merge[of "J" "I - J" x y S]
-      by (auto simp del: PiE_cancel_merge simp add: Un_absorb1)
-    then show "x \<in> A \<longleftrightarrow> x \<in> B"
-      using y x \<open>J \<subseteq> I\<close> PiE_cancel_merge[of "J" "I - J" x y S]
-      by (auto simp del: PiE_cancel_merge simp add: Un_absorb1 eq)
-  qed (insert sets, auto)
-qed
-
-lemma restrict_vimage:
-  "I \<inter> J = {} \<Longrightarrow>
-    (\<lambda>x. (restrict x I, restrict x J)) -` (Pi\<^sub>E I E \<times> Pi\<^sub>E J F) = Pi (I \<union> J) (merge I J (E, F))"
-  by (auto simp: restrict_Pi_cancel PiE_def)
-
-lemma merge_vimage:
-  "I \<inter> J = {} \<Longrightarrow> merge I J -` Pi\<^sub>E (I \<union> J) E = Pi I E \<times> Pi J E"
-  by (auto simp: restrict_Pi_cancel PiE_def)
-
-subsection \<open>Finite product spaces\<close>
-
-subsubsection \<open>Products\<close>
-
-definition prod_emb where
-  "prod_emb I M K X = (\<lambda>x. restrict x K) -` X \<inter> (PIE i:I. space (M i))"
-
-lemma prod_emb_iff:
-  "f \<in> prod_emb I M K X \<longleftrightarrow> f \<in> extensional I \<and> (restrict f K \<in> X) \<and> (\<forall>i\<in>I. f i \<in> space (M i))"
-  unfolding prod_emb_def PiE_def by auto
-
-lemma
-  shows prod_emb_empty[simp]: "prod_emb M L K {} = {}"
-    and prod_emb_Un[simp]: "prod_emb M L K (A \<union> B) = prod_emb M L K A \<union> prod_emb M L K B"
-    and prod_emb_Int: "prod_emb M L K (A \<inter> B) = prod_emb M L K A \<inter> prod_emb M L K B"
-    and prod_emb_UN[simp]: "prod_emb M L K (\<Union>i\<in>I. F i) = (\<Union>i\<in>I. prod_emb M L K (F i))"
-    and prod_emb_INT[simp]: "I \<noteq> {} \<Longrightarrow> prod_emb M L K (\<Inter>i\<in>I. F i) = (\<Inter>i\<in>I. prod_emb M L K (F i))"
-    and prod_emb_Diff[simp]: "prod_emb M L K (A - B) = prod_emb M L K A - prod_emb M L K B"
-  by (auto simp: prod_emb_def)
-
-lemma prod_emb_PiE: "J \<subseteq> I \<Longrightarrow> (\<And>i. i \<in> J \<Longrightarrow> E i \<subseteq> space (M i)) \<Longrightarrow>
-    prod_emb I M J (\<Pi>\<^sub>E i\<in>J. E i) = (\<Pi>\<^sub>E i\<in>I. if i \<in> J then E i else space (M i))"
-  by (force simp: prod_emb_def PiE_iff if_split_mem2)
-
-lemma prod_emb_PiE_same_index[simp]:
-    "(\<And>i. i \<in> I \<Longrightarrow> E i \<subseteq> space (M i)) \<Longrightarrow> prod_emb I M I (Pi\<^sub>E I E) = Pi\<^sub>E I E"
-  by (auto simp: prod_emb_def PiE_iff)
-
-lemma prod_emb_trans[simp]:
-  "J \<subseteq> K \<Longrightarrow> K \<subseteq> L \<Longrightarrow> prod_emb L M K (prod_emb K M J X) = prod_emb L M J X"
-  by (auto simp add: Int_absorb1 prod_emb_def PiE_def)
-
-lemma prod_emb_Pi:
-  assumes "X \<in> (\<Pi> j\<in>J. sets (M j))" "J \<subseteq> K"
-  shows "prod_emb K M J (Pi\<^sub>E J X) = (\<Pi>\<^sub>E i\<in>K. if i \<in> J then X i else space (M i))"
-  using assms sets.space_closed
-  by (auto simp: prod_emb_def PiE_iff split: if_split_asm) blast+
-
-lemma prod_emb_id:
-  "B \<subseteq> (\<Pi>\<^sub>E i\<in>L. space (M i)) \<Longrightarrow> prod_emb L M L B = B"
-  by (auto simp: prod_emb_def subset_eq extensional_restrict)
-
-lemma prod_emb_mono:
-  "F \<subseteq> G \<Longrightarrow> prod_emb A M B F \<subseteq> prod_emb A M B G"
-  by (auto simp: prod_emb_def)
-
-definition PiM :: "'i set \<Rightarrow> ('i \<Rightarrow> 'a measure) \<Rightarrow> ('i \<Rightarrow> 'a) measure" where
-  "PiM I M = extend_measure (\<Pi>\<^sub>E i\<in>I. space (M i))
-    {(J, X). (J \<noteq> {} \<or> I = {}) \<and> finite J \<and> J \<subseteq> I \<and> X \<in> (\<Pi> j\<in>J. sets (M j))}
-    (\<lambda>(J, X). prod_emb I M J (\<Pi>\<^sub>E j\<in>J. X j))
-    (\<lambda>(J, X). \<Prod>j\<in>J \<union> {i\<in>I. emeasure (M i) (space (M i)) \<noteq> 1}. if j \<in> J then emeasure (M j) (X j) else emeasure (M j) (space (M j)))"
-
-definition prod_algebra :: "'i set \<Rightarrow> ('i \<Rightarrow> 'a measure) \<Rightarrow> ('i \<Rightarrow> 'a) set set" where
-  "prod_algebra I M = (\<lambda>(J, X). prod_emb I M J (\<Pi>\<^sub>E j\<in>J. X j)) `
-    {(J, X). (J \<noteq> {} \<or> I = {}) \<and> finite J \<and> J \<subseteq> I \<and> X \<in> (\<Pi> j\<in>J. sets (M j))}"
-
-abbreviation
-  "Pi\<^sub>M I M \<equiv> PiM I M"
-
-syntax
-  "_PiM" :: "pttrn \<Rightarrow> 'i set \<Rightarrow> 'a measure \<Rightarrow> ('i => 'a) measure"  ("(3\<Pi>\<^sub>M _\<in>_./ _)"  10)
-translations
-  "\<Pi>\<^sub>M x\<in>I. M" == "CONST PiM I (%x. M)"
-
-lemma extend_measure_cong:
-  assumes "\<Omega> = \<Omega>'" "I = I'" "G = G'" "\<And>i. i \<in> I' \<Longrightarrow> \<mu> i = \<mu>' i"
-  shows "extend_measure \<Omega> I G \<mu> = extend_measure \<Omega>' I' G' \<mu>'"
-  unfolding extend_measure_def by (auto simp add: assms)
-
-lemma Pi_cong_sets:
-    "\<lbrakk>I = J; \<And>x. x \<in> I \<Longrightarrow> M x = N x\<rbrakk> \<Longrightarrow> Pi I M = Pi J N"
-  unfolding Pi_def by auto
-
-lemma PiM_cong:
-  assumes "I = J" "\<And>x. x \<in> I \<Longrightarrow> M x = N x"
-  shows "PiM I M = PiM J N"
-  unfolding PiM_def
-proof (rule extend_measure_cong, goal_cases)
-  case 1
-  show ?case using assms
-    by (subst assms(1), intro PiE_cong[of J "\<lambda>i. space (M i)" "\<lambda>i. space (N i)"]) simp_all
-next
-  case 2
-  have "\<And>K. K \<subseteq> J \<Longrightarrow> (\<Pi> j\<in>K. sets (M j)) = (\<Pi> j\<in>K. sets (N j))"
-    using assms by (intro Pi_cong_sets) auto
-  thus ?case by (auto simp: assms)
-next
-  case 3
-  show ?case using assms
-    by (intro ext) (auto simp: prod_emb_def dest: PiE_mem)
-next
-  case (4 x)
-  thus ?case using assms
-    by (auto intro!: setprod.cong split: if_split_asm)
-qed
-
-
-lemma prod_algebra_sets_into_space:
-  "prod_algebra I M \<subseteq> Pow (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  by (auto simp: prod_emb_def prod_algebra_def)
-
-lemma prod_algebra_eq_finite:
-  assumes I: "finite I"
-  shows "prod_algebra I M = {(\<Pi>\<^sub>E i\<in>I. X i) |X. X \<in> (\<Pi> j\<in>I. sets (M j))}" (is "?L = ?R")
-proof (intro iffI set_eqI)
-  fix A assume "A \<in> ?L"
-  then obtain J E where J: "J \<noteq> {} \<or> I = {}" "finite J" "J \<subseteq> I" "\<forall>i\<in>J. E i \<in> sets (M i)"
-    and A: "A = prod_emb I M J (PIE j:J. E j)"
-    by (auto simp: prod_algebra_def)
-  let ?A = "\<Pi>\<^sub>E i\<in>I. if i \<in> J then E i else space (M i)"
-  have A: "A = ?A"
-    unfolding A using J by (intro prod_emb_PiE sets.sets_into_space) auto
-  show "A \<in> ?R" unfolding A using J sets.top
-    by (intro CollectI exI[of _ "\<lambda>i. if i \<in> J then E i else space (M i)"]) simp
-next
-  fix A assume "A \<in> ?R"
-  then obtain X where A: "A = (\<Pi>\<^sub>E i\<in>I. X i)" and X: "X \<in> (\<Pi> j\<in>I. sets (M j))" by auto
-  then have A: "A = prod_emb I M I (\<Pi>\<^sub>E i\<in>I. X i)"
-    by (simp add: prod_emb_PiE_same_index[OF sets.sets_into_space] Pi_iff)
-  from X I show "A \<in> ?L" unfolding A
-    by (auto simp: prod_algebra_def)
-qed
-
-lemma prod_algebraI:
-  "finite J \<Longrightarrow> (J \<noteq> {} \<or> I = {}) \<Longrightarrow> J \<subseteq> I \<Longrightarrow> (\<And>i. i \<in> J \<Longrightarrow> E i \<in> sets (M i))
-    \<Longrightarrow> prod_emb I M J (PIE j:J. E j) \<in> prod_algebra I M"
-  by (auto simp: prod_algebra_def)
-
-lemma prod_algebraI_finite:
-  "finite I \<Longrightarrow> (\<forall>i\<in>I. E i \<in> sets (M i)) \<Longrightarrow> (Pi\<^sub>E I E) \<in> prod_algebra I M"
-  using prod_algebraI[of I I E M] prod_emb_PiE_same_index[of I E M, OF sets.sets_into_space] by simp
-
-lemma Int_stable_PiE: "Int_stable {Pi\<^sub>E J E | E. \<forall>i\<in>I. E i \<in> sets (M i)}"
-proof (safe intro!: Int_stableI)
-  fix E F assume "\<forall>i\<in>I. E i \<in> sets (M i)" "\<forall>i\<in>I. F i \<in> sets (M i)"
-  then show "\<exists>G. Pi\<^sub>E J E \<inter> Pi\<^sub>E J F = Pi\<^sub>E J G \<and> (\<forall>i\<in>I. G i \<in> sets (M i))"
-    by (auto intro!: exI[of _ "\<lambda>i. E i \<inter> F i"] simp: PiE_Int)
-qed
-
-lemma prod_algebraE:
-  assumes A: "A \<in> prod_algebra I M"
-  obtains J E where "A = prod_emb I M J (PIE j:J. E j)"
-    "finite J" "J \<noteq> {} \<or> I = {}" "J \<subseteq> I" "\<And>i. i \<in> J \<Longrightarrow> E i \<in> sets (M i)"
-  using A by (auto simp: prod_algebra_def)
-
-lemma prod_algebraE_all:
-  assumes A: "A \<in> prod_algebra I M"
-  obtains E where "A = Pi\<^sub>E I E" "E \<in> (\<Pi> i\<in>I. sets (M i))"
-proof -
-  from A obtain E J where A: "A = prod_emb I M J (Pi\<^sub>E J E)"
-    and J: "J \<subseteq> I" and E: "E \<in> (\<Pi> i\<in>J. sets (M i))"
-    by (auto simp: prod_algebra_def)
-  from E have "\<And>i. i \<in> J \<Longrightarrow> E i \<subseteq> space (M i)"
-    using sets.sets_into_space by auto
-  then have "A = (\<Pi>\<^sub>E i\<in>I. if i\<in>J then E i else space (M i))"
-    using A J by (auto simp: prod_emb_PiE)
-  moreover have "(\<lambda>i. if i\<in>J then E i else space (M i)) \<in> (\<Pi> i\<in>I. sets (M i))"
-    using sets.top E by auto
-  ultimately show ?thesis using that by auto
-qed
-
-lemma Int_stable_prod_algebra: "Int_stable (prod_algebra I M)"
-proof (unfold Int_stable_def, safe)
-  fix A assume "A \<in> prod_algebra I M"
-  from prod_algebraE[OF this] guess J E . note A = this
-  fix B assume "B \<in> prod_algebra I M"
-  from prod_algebraE[OF this] guess K F . note B = this
-  have "A \<inter> B = prod_emb I M (J \<union> K) (\<Pi>\<^sub>E i\<in>J \<union> K. (if i \<in> J then E i else space (M i)) \<inter>
-      (if i \<in> K then F i else space (M i)))"
-    unfolding A B using A(2,3,4) A(5)[THEN sets.sets_into_space] B(2,3,4)
-      B(5)[THEN sets.sets_into_space]
-    apply (subst (1 2 3) prod_emb_PiE)
-    apply (simp_all add: subset_eq PiE_Int)
-    apply blast
-    apply (intro PiE_cong)
-    apply auto
-    done
-  also have "\<dots> \<in> prod_algebra I M"
-    using A B by (auto intro!: prod_algebraI)
-  finally show "A \<inter> B \<in> prod_algebra I M" .
-qed
-
-lemma prod_algebra_mono:
-  assumes space: "\<And>i. i \<in> I \<Longrightarrow> space (E i) = space (F i)"
-  assumes sets: "\<And>i. i \<in> I \<Longrightarrow> sets (E i) \<subseteq> sets (F i)"
-  shows "prod_algebra I E \<subseteq> prod_algebra I F"
-proof
-  fix A assume "A \<in> prod_algebra I E"
-  then obtain J G where J: "J \<noteq> {} \<or> I = {}" "finite J" "J \<subseteq> I"
-    and A: "A = prod_emb I E J (\<Pi>\<^sub>E i\<in>J. G i)"
-    and G: "\<And>i. i \<in> J \<Longrightarrow> G i \<in> sets (E i)"
-    by (auto simp: prod_algebra_def)
-  moreover
-  from space have "(\<Pi>\<^sub>E i\<in>I. space (E i)) = (\<Pi>\<^sub>E i\<in>I. space (F i))"
-    by (rule PiE_cong)
-  with A have "A = prod_emb I F J (\<Pi>\<^sub>E i\<in>J. G i)"
-    by (simp add: prod_emb_def)
-  moreover
-  from sets G J have "\<And>i. i \<in> J \<Longrightarrow> G i \<in> sets (F i)"
-    by auto
-  ultimately show "A \<in> prod_algebra I F"
-    apply (simp add: prod_algebra_def image_iff)
-    apply (intro exI[of _ J] exI[of _ G] conjI)
-    apply auto
-    done
-qed
-
-lemma prod_algebra_cong:
-  assumes "I = J" and sets: "(\<And>i. i \<in> I \<Longrightarrow> sets (M i) = sets (N i))"
-  shows "prod_algebra I M = prod_algebra J N"
-proof -
-  have space: "\<And>i. i \<in> I \<Longrightarrow> space (M i) = space (N i)"
-    using sets_eq_imp_space_eq[OF sets] by auto
-  with sets show ?thesis unfolding \<open>I = J\<close>
-    by (intro antisym prod_algebra_mono) auto
-qed
-
-lemma space_in_prod_algebra:
-  "(\<Pi>\<^sub>E i\<in>I. space (M i)) \<in> prod_algebra I M"
-proof cases
-  assume "I = {}" then show ?thesis
-    by (auto simp add: prod_algebra_def image_iff prod_emb_def)
-next
-  assume "I \<noteq> {}"
-  then obtain i where "i \<in> I" by auto
-  then have "(\<Pi>\<^sub>E i\<in>I. space (M i)) = prod_emb I M {i} (\<Pi>\<^sub>E i\<in>{i}. space (M i))"
-    by (auto simp: prod_emb_def)
-  also have "\<dots> \<in> prod_algebra I M"
-    using \<open>i \<in> I\<close> by (intro prod_algebraI) auto
-  finally show ?thesis .
-qed
-
-lemma space_PiM: "space (\<Pi>\<^sub>M i\<in>I. M i) = (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  using prod_algebra_sets_into_space unfolding PiM_def prod_algebra_def by (intro space_extend_measure) simp
-
-lemma prod_emb_subset_PiM[simp]: "prod_emb I M K X \<subseteq> space (PiM I M)"
-  by (auto simp: prod_emb_def space_PiM)
-
-lemma space_PiM_empty_iff[simp]: "space (PiM I M) = {} \<longleftrightarrow>  (\<exists>i\<in>I. space (M i) = {})"
-  by (auto simp: space_PiM PiE_eq_empty_iff)
-
-lemma undefined_in_PiM_empty[simp]: "(\<lambda>x. undefined) \<in> space (PiM {} M)"
-  by (auto simp: space_PiM)
-
-lemma sets_PiM: "sets (\<Pi>\<^sub>M i\<in>I. M i) = sigma_sets (\<Pi>\<^sub>E i\<in>I. space (M i)) (prod_algebra I M)"
-  using prod_algebra_sets_into_space unfolding PiM_def prod_algebra_def by (intro sets_extend_measure) simp
-
-lemma sets_PiM_single: "sets (PiM I M) =
-    sigma_sets (\<Pi>\<^sub>E i\<in>I. space (M i)) {{f\<in>\<Pi>\<^sub>E i\<in>I. space (M i). f i \<in> A} | i A. i \<in> I \<and> A \<in> sets (M i)}"
-    (is "_ = sigma_sets ?\<Omega> ?R")
-  unfolding sets_PiM
-proof (rule sigma_sets_eqI)
-  interpret R: sigma_algebra ?\<Omega> "sigma_sets ?\<Omega> ?R" by (rule sigma_algebra_sigma_sets) auto
-  fix A assume "A \<in> prod_algebra I M"
-  from prod_algebraE[OF this] guess J X . note X = this
-  show "A \<in> sigma_sets ?\<Omega> ?R"
-  proof cases
-    assume "I = {}"
-    with X have "A = {\<lambda>x. undefined}" by (auto simp: prod_emb_def)
-    with \<open>I = {}\<close> show ?thesis by (auto intro!: sigma_sets_top)
-  next
-    assume "I \<noteq> {}"
-    with X have "A = (\<Inter>j\<in>J. {f\<in>(\<Pi>\<^sub>E i\<in>I. space (M i)). f j \<in> X j})"
-      by (auto simp: prod_emb_def)
-    also have "\<dots> \<in> sigma_sets ?\<Omega> ?R"
-      using X \<open>I \<noteq> {}\<close> by (intro R.finite_INT sigma_sets.Basic) auto
-    finally show "A \<in> sigma_sets ?\<Omega> ?R" .
-  qed
-next
-  fix A assume "A \<in> ?R"
-  then obtain i B where A: "A = {f\<in>\<Pi>\<^sub>E i\<in>I. space (M i). f i \<in> B}" "i \<in> I" "B \<in> sets (M i)"
-    by auto
-  then have "A = prod_emb I M {i} (\<Pi>\<^sub>E i\<in>{i}. B)"
-     by (auto simp: prod_emb_def)
-  also have "\<dots> \<in> sigma_sets ?\<Omega> (prod_algebra I M)"
-    using A by (intro sigma_sets.Basic prod_algebraI) auto
-  finally show "A \<in> sigma_sets ?\<Omega> (prod_algebra I M)" .
-qed
-
-lemma sets_PiM_eq_proj:
-  "I \<noteq> {} \<Longrightarrow> sets (PiM I M) = sets (SUP i:I. vimage_algebra (\<Pi>\<^sub>E i\<in>I. space (M i)) (\<lambda>x. x i) (M i))"
-  apply (simp add: sets_PiM_single)
-  apply (subst sets_Sup_eq[where X="\<Pi>\<^sub>E i\<in>I. space (M i)"])
-  apply auto []
-  apply auto []
-  apply simp
-  apply (subst SUP_cong[OF refl])
-  apply (rule sets_vimage_algebra2)
-  apply auto []
-  apply (auto intro!: arg_cong2[where f=sigma_sets])
-  done
-
-lemma
-  shows space_PiM_empty: "space (Pi\<^sub>M {} M) = {\<lambda>k. undefined}"
-    and sets_PiM_empty: "sets (Pi\<^sub>M {} M) = { {}, {\<lambda>k. undefined} }"
-  by (simp_all add: space_PiM sets_PiM_single image_constant sigma_sets_empty_eq)
-
-lemma sets_PiM_sigma:
-  assumes \<Omega>_cover: "\<And>i. i \<in> I \<Longrightarrow> \<exists>S\<subseteq>E i. countable S \<and> \<Omega> i = \<Union>S"
-  assumes E: "\<And>i. i \<in> I \<Longrightarrow> E i \<subseteq> Pow (\<Omega> i)"
-  assumes J: "\<And>j. j \<in> J \<Longrightarrow> finite j" "\<Union>J = I"
-  defines "P \<equiv> {{f\<in>(\<Pi>\<^sub>E i\<in>I. \<Omega> i). \<forall>i\<in>j. f i \<in> A i} | A j. j \<in> J \<and> A \<in> Pi j E}"
-  shows "sets (\<Pi>\<^sub>M i\<in>I. sigma (\<Omega> i) (E i)) = sets (sigma (\<Pi>\<^sub>E i\<in>I. \<Omega> i) P)"
-proof cases
-  assume "I = {}"
-  with \<open>\<Union>J = I\<close> have "P = {{\<lambda>_. undefined}} \<or> P = {}"
-    by (auto simp: P_def)
-  with \<open>I = {}\<close> show ?thesis
-    by (auto simp add: sets_PiM_empty sigma_sets_empty_eq)
-next
-  let ?F = "\<lambda>i. {(\<lambda>x. x i) -` A \<inter> Pi\<^sub>E I \<Omega> |A. A \<in> E i}"
-  assume "I \<noteq> {}"
-  then have "sets (Pi\<^sub>M I (\<lambda>i. sigma (\<Omega> i) (E i))) =
-      sets (SUP i:I. vimage_algebra (\<Pi>\<^sub>E i\<in>I. \<Omega> i) (\<lambda>x. x i) (sigma (\<Omega> i) (E i)))"
-    by (subst sets_PiM_eq_proj) (auto simp: space_measure_of_conv)
-  also have "\<dots> = sets (SUP i:I. sigma (Pi\<^sub>E I \<Omega>) (?F i))"
-    using E by (intro sets_SUP_cong arg_cong[where f=sets] vimage_algebra_sigma) auto
-  also have "\<dots> = sets (sigma (Pi\<^sub>E I \<Omega>) (\<Union>i\<in>I. ?F i))"
-    using \<open>I \<noteq> {}\<close> by (intro arg_cong[where f=sets] SUP_sigma_sigma) auto
-  also have "\<dots> = sets (sigma (Pi\<^sub>E I \<Omega>) P)"
-  proof (intro arg_cong[where f=sets] sigma_eqI sigma_sets_eqI)
-    show "(\<Union>i\<in>I. ?F i) \<subseteq> Pow (Pi\<^sub>E I \<Omega>)" "P \<subseteq> Pow (Pi\<^sub>E I \<Omega>)"
-      by (auto simp: P_def)
-  next
-    interpret P: sigma_algebra "\<Pi>\<^sub>E i\<in>I. \<Omega> i" "sigma_sets (\<Pi>\<^sub>E i\<in>I. \<Omega> i) P"
-      by (auto intro!: sigma_algebra_sigma_sets simp: P_def)
-
-    fix Z assume "Z \<in> (\<Union>i\<in>I. ?F i)"
-    then obtain i A where i: "i \<in> I" "A \<in> E i" and Z_def: "Z = (\<lambda>x. x i) -` A \<inter> Pi\<^sub>E I \<Omega>"
-      by auto
-    from \<open>i \<in> I\<close> J obtain j where j: "i \<in> j" "j \<in> J" "j \<subseteq> I" "finite j"
-      by auto
-    obtain S where S: "\<And>i. i \<in> j \<Longrightarrow> S i \<subseteq> E i" "\<And>i. i \<in> j \<Longrightarrow> countable (S i)"
-      "\<And>i. i \<in> j \<Longrightarrow> \<Omega> i = \<Union>(S i)"
-      by (metis subset_eq \<Omega>_cover \<open>j \<subseteq> I\<close>)
-    define A' where "A' n = n(i := A)" for n
-    then have A'_i: "\<And>n. A' n i = A"
-      by simp
-    { fix n assume "n \<in> Pi\<^sub>E (j - {i}) S"
-      then have "A' n \<in> Pi j E"
-        unfolding PiE_def Pi_def using S(1) by (auto simp: A'_def \<open>A \<in> E i\<close> )
-      with \<open>j \<in> J\<close> have "{f \<in> Pi\<^sub>E I \<Omega>. \<forall>i\<in>j. f i \<in> A' n i} \<in> P"
-        by (auto simp: P_def) }
-    note A'_in_P = this
-
-    { fix x assume "x i \<in> A" "x \<in> Pi\<^sub>E I \<Omega>"
-      with S(3) \<open>j \<subseteq> I\<close> have "\<forall>i\<in>j. \<exists>s\<in>S i. x i \<in> s"
-        by (auto simp: PiE_def Pi_def)
-      then obtain s where s: "\<And>i. i \<in> j \<Longrightarrow> s i \<in> S i" "\<And>i. i \<in> j \<Longrightarrow> x i \<in> s i"
-        by metis
-      with \<open>x i \<in> A\<close> have "\<exists>n\<in>PiE (j-{i}) S. \<forall>i\<in>j. x i \<in> A' n i"
-        by (intro bexI[of _ "restrict (s(i := A)) (j-{i})"]) (auto simp: A'_def split: if_splits) }
-    then have "Z = (\<Union>n\<in>PiE (j-{i}) S. {f\<in>(\<Pi>\<^sub>E i\<in>I. \<Omega> i). \<forall>i\<in>j. f i \<in> A' n i})"
-      unfolding Z_def
-      by (auto simp add: set_eq_iff ball_conj_distrib \<open>i\<in>j\<close> A'_i dest: bspec[OF _ \<open>i\<in>j\<close>]
-               cong: conj_cong)
-    also have "\<dots> \<in> sigma_sets (\<Pi>\<^sub>E i\<in>I. \<Omega> i) P"
-      using \<open>finite j\<close> S(2)
-      by (intro P.countable_UN' countable_PiE) (simp_all add: image_subset_iff A'_in_P)
-    finally show "Z \<in> sigma_sets (\<Pi>\<^sub>E i\<in>I. \<Omega> i) P" .
-  next
-    interpret F: sigma_algebra "\<Pi>\<^sub>E i\<in>I. \<Omega> i" "sigma_sets (\<Pi>\<^sub>E i\<in>I. \<Omega> i) (\<Union>i\<in>I. ?F i)"
-      by (auto intro!: sigma_algebra_sigma_sets)
-
-    fix b assume "b \<in> P"
-    then obtain A j where b: "b = {f\<in>(\<Pi>\<^sub>E i\<in>I. \<Omega> i). \<forall>i\<in>j. f i \<in> A i}" "j \<in> J" "A \<in> Pi j E"
-      by (auto simp: P_def)
-    show "b \<in> sigma_sets (Pi\<^sub>E I \<Omega>) (\<Union>i\<in>I. ?F i)"
-    proof cases
-      assume "j = {}"
-      with b have "b = (\<Pi>\<^sub>E i\<in>I. \<Omega> i)"
-        by auto
-      then show ?thesis
-        by blast
-    next
-      assume "j \<noteq> {}"
-      with J b(2,3) have eq: "b = (\<Inter>i\<in>j. ((\<lambda>x. x i) -` A i \<inter> Pi\<^sub>E I \<Omega>))"
-        unfolding b(1)
-        by (auto simp: PiE_def Pi_def)
-      show ?thesis
-        unfolding eq using \<open>A \<in> Pi j E\<close> \<open>j \<in> J\<close> J(2)
-        by (intro F.finite_INT J \<open>j \<in> J\<close> \<open>j \<noteq> {}\<close> sigma_sets.Basic) blast
-    qed
-  qed
-  finally show "?thesis" .
-qed
-
-lemma sets_PiM_in_sets:
-  assumes space: "space N = (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  assumes sets: "\<And>i A. i \<in> I \<Longrightarrow> A \<in> sets (M i) \<Longrightarrow> {x\<in>space N. x i \<in> A} \<in> sets N"
-  shows "sets (\<Pi>\<^sub>M i \<in> I. M i) \<subseteq> sets N"
-  unfolding sets_PiM_single space[symmetric]
-  by (intro sets.sigma_sets_subset subsetI) (auto intro: sets)
-
-lemma sets_PiM_cong[measurable_cong]:
-  assumes "I = J" "\<And>i. i \<in> J \<Longrightarrow> sets (M i) = sets (N i)" shows "sets (PiM I M) = sets (PiM J N)"
-  using assms sets_eq_imp_space_eq[OF assms(2)] by (simp add: sets_PiM_single cong: PiE_cong conj_cong)
-
-lemma sets_PiM_I:
-  assumes "finite J" "J \<subseteq> I" "\<forall>i\<in>J. E i \<in> sets (M i)"
-  shows "prod_emb I M J (PIE j:J. E j) \<in> sets (\<Pi>\<^sub>M i\<in>I. M i)"
-proof cases
-  assume "J = {}"
-  then have "prod_emb I M J (PIE j:J. E j) = (PIE j:I. space (M j))"
-    by (auto simp: prod_emb_def)
-  then show ?thesis
-    by (auto simp add: sets_PiM intro!: sigma_sets_top)
-next
-  assume "J \<noteq> {}" with assms show ?thesis
-    by (force simp add: sets_PiM prod_algebra_def)
-qed
-
-lemma measurable_PiM:
-  assumes space: "f \<in> space N \<rightarrow> (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  assumes sets: "\<And>X J. J \<noteq> {} \<or> I = {} \<Longrightarrow> finite J \<Longrightarrow> J \<subseteq> I \<Longrightarrow> (\<And>i. i \<in> J \<Longrightarrow> X i \<in> sets (M i)) \<Longrightarrow>
-    f -` prod_emb I M J (Pi\<^sub>E J X) \<inter> space N \<in> sets N"
-  shows "f \<in> measurable N (PiM I M)"
-  using sets_PiM prod_algebra_sets_into_space space
-proof (rule measurable_sigma_sets)
-  fix A assume "A \<in> prod_algebra I M"
-  from prod_algebraE[OF this] guess J X .
-  with sets[of J X] show "f -` A \<inter> space N \<in> sets N" by auto
-qed
-
-lemma measurable_PiM_Collect:
-  assumes space: "f \<in> space N \<rightarrow> (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  assumes sets: "\<And>X J. J \<noteq> {} \<or> I = {} \<Longrightarrow> finite J \<Longrightarrow> J \<subseteq> I \<Longrightarrow> (\<And>i. i \<in> J \<Longrightarrow> X i \<in> sets (M i)) \<Longrightarrow>
-    {\<omega>\<in>space N. \<forall>i\<in>J. f \<omega> i \<in> X i} \<in> sets N"
-  shows "f \<in> measurable N (PiM I M)"
-  using sets_PiM prod_algebra_sets_into_space space
-proof (rule measurable_sigma_sets)
-  fix A assume "A \<in> prod_algebra I M"
-  from prod_algebraE[OF this] guess J X . note X = this
-  then have "f -` A \<inter> space N = {\<omega> \<in> space N. \<forall>i\<in>J. f \<omega> i \<in> X i}"
-    using space by (auto simp: prod_emb_def del: PiE_I)
-  also have "\<dots> \<in> sets N" using X(3,2,4,5) by (rule sets)
-  finally show "f -` A \<inter> space N \<in> sets N" .
-qed
-
-lemma measurable_PiM_single:
-  assumes space: "f \<in> space N \<rightarrow> (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  assumes sets: "\<And>A i. i \<in> I \<Longrightarrow> A \<in> sets (M i) \<Longrightarrow> {\<omega> \<in> space N. f \<omega> i \<in> A} \<in> sets N"
-  shows "f \<in> measurable N (PiM I M)"
-  using sets_PiM_single
-proof (rule measurable_sigma_sets)
-  fix A assume "A \<in> {{f \<in> \<Pi>\<^sub>E i\<in>I. space (M i). f i \<in> A} |i A. i \<in> I \<and> A \<in> sets (M i)}"
-  then obtain B i where "A = {f \<in> \<Pi>\<^sub>E i\<in>I. space (M i). f i \<in> B}" and B: "i \<in> I" "B \<in> sets (M i)"
-    by auto
-  with space have "f -` A \<inter> space N = {\<omega> \<in> space N. f \<omega> i \<in> B}" by auto
-  also have "\<dots> \<in> sets N" using B by (rule sets)
-  finally show "f -` A \<inter> space N \<in> sets N" .
-qed (auto simp: space)
-
-lemma measurable_PiM_single':
-  assumes f: "\<And>i. i \<in> I \<Longrightarrow> f i \<in> measurable N (M i)"
-    and "(\<lambda>\<omega> i. f i \<omega>) \<in> space N \<rightarrow> (\<Pi>\<^sub>E i\<in>I. space (M i))"
-  shows "(\<lambda>\<omega> i. f i \<omega>) \<in> measurable N (Pi\<^sub>M I M)"
-proof (rule measurable_PiM_single)
-  fix A i assume A: "i \<in> I" "A \<in> sets (M i)"
-  then have "{\<omega> \<in> space N. f i \<omega> \<in> A} = f i -` A \<inter> space N"
-    by auto
-  then show "{\<omega> \<in> space N. f i \<omega> \<in> A} \<in> sets N"
-    using A f by (auto intro!: measurable_sets)
-qed fact
-
-lemma sets_PiM_I_finite[measurable]:
-  assumes "finite I" and sets: "(\<And>i. i \<in> I \<Longrightarrow> E i \<in> sets (M i))"
-  shows "(PIE j:I. E j) \<in> sets (\<Pi>\<^sub>M i\<in>I. M i)"
-  using sets_PiM_I[of I I E M] sets.sets_into_space[OF sets] \<open>finite I\<close> sets by auto
-
-lemma measurable_component_singleton[measurable (raw)]:
-  assumes "i \<in> I" shows "(\<lambda>x. x i) \<in> measurable (Pi\<^sub>M I M) (M i)"
-proof (unfold measurable_def, intro CollectI conjI ballI)
-  fix A assume "A \<in> sets (M i)"
-  then have "(\<lambda>x. x i) -` A \<inter> space (Pi\<^sub>M I M) = prod_emb I M {i} (\<Pi>\<^sub>E j\<in>{i}. A)"
-    using sets.sets_into_space \<open>i \<in> I\<close>
-    by (fastforce dest: Pi_mem simp: prod_emb_def space_PiM split: if_split_asm)
-  then show "(\<lambda>x. x i) -` A \<inter> space (Pi\<^sub>M I M) \<in> sets (Pi\<^sub>M I M)"
-    using \<open>A \<in> sets (M i)\<close> \<open>i \<in> I\<close> by (auto intro!: sets_PiM_I)
-qed (insert \<open>i \<in> I\<close>, auto simp: space_PiM)
-
-lemma measurable_component_singleton'[measurable_dest]:
-  assumes f: "f \<in> measurable N (Pi\<^sub>M I M)"
-  assumes g: "g \<in> measurable L N"
-  assumes i: "i \<in> I"
-  shows "(\<lambda>x. (f (g x)) i) \<in> measurable L (M i)"
-  using measurable_compose[OF measurable_compose[OF g f] measurable_component_singleton, OF i] .
-
-lemma measurable_PiM_component_rev:
-  "i \<in> I \<Longrightarrow> f \<in> measurable (M i) N \<Longrightarrow> (\<lambda>x. f (x i)) \<in> measurable (PiM I M) N"
-  by simp
-
-lemma measurable_case_nat[measurable (raw)]:
-  assumes [measurable (raw)]: "i = 0 \<Longrightarrow> f \<in> measurable M N"
-    "\<And>j. i = Suc j \<Longrightarrow> (\<lambda>x. g x j) \<in> measurable M N"
-  shows "(\<lambda>x. case_nat (f x) (g x) i) \<in> measurable M N"
-  by (cases i) simp_all
-
-lemma measurable_case_nat'[measurable (raw)]:
-  assumes fg[measurable]: "f \<in> measurable N M" "g \<in> measurable N (\<Pi>\<^sub>M i\<in>UNIV. M)"
-  shows "(\<lambda>x. case_nat (f x) (g x)) \<in> measurable N (\<Pi>\<^sub>M i\<in>UNIV. M)"
-  using fg[THEN measurable_space]
-  by (auto intro!: measurable_PiM_single' simp add: space_PiM PiE_iff split: nat.split)
-
-lemma measurable_add_dim[measurable]:
-  "(\<lambda>(f, y). f(i := y)) \<in> measurable (Pi\<^sub>M I M \<Otimes>\<^sub>M M i) (Pi\<^sub>M (insert i I) M)"
-    (is "?f \<in> measurable ?P ?I")
-proof (rule measurable_PiM_single)
-  fix j A assume j: "j \<in> insert i I" and A: "A \<in> sets (M j)"
-  have "{\<omega> \<in> space ?P. (\<lambda>(f, x). fun_upd f i x) \<omega> j \<in> A} =
-    (if j = i then space (Pi\<^sub>M I M) \<times> A else ((\<lambda>x. x j) \<circ> fst) -` A \<inter> space ?P)"
-    using sets.sets_into_space[OF A] by (auto simp add: space_pair_measure space_PiM)
-  also have "\<dots> \<in> sets ?P"
-    using A j
-    by (auto intro!: measurable_sets[OF measurable_comp, OF _ measurable_component_singleton])
-  finally show "{\<omega> \<in> space ?P. case_prod (\<lambda>f. fun_upd f i) \<omega> j \<in> A} \<in> sets ?P" .
-qed (auto simp: space_pair_measure space_PiM PiE_def)
-
-lemma measurable_fun_upd:
-  assumes I: "I = J \<union> {i}"
-  assumes f[measurable]: "f \<in> measurable N (PiM J M)"
-  assumes h[measurable]: "h \<in> measurable N (M i)"
-  shows "(\<lambda>x. (f x) (i := h x)) \<in> measurable N (PiM I M)"
-proof (intro measurable_PiM_single')
-  fix j assume "j \<in> I" then show "(\<lambda>\<omega>. ((f \<omega>)(i := h \<omega>)) j) \<in> measurable N (M j)"
-    unfolding I by (cases "j = i") auto
-next
-  show "(\<lambda>x. (f x)(i := h x)) \<in> space N \<rightarrow> (\<Pi>\<^sub>E i\<in>I. space (M i))"
-    using I f[THEN measurable_space] h[THEN measurable_space]
-    by (auto simp: space_PiM PiE_iff extensional_def)
-qed
-
-lemma measurable_component_update:
-  "x \<in> space (Pi\<^sub>M I M) \<Longrightarrow> i \<notin> I \<Longrightarrow> (\<lambda>v. x(i := v)) \<in> measurable (M i) (Pi\<^sub>M (insert i I) M)"
-  by simp
-
-lemma measurable_merge[measurable]:
-  "merge I J \<in> measurable (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M) (Pi\<^sub>M (I \<union> J) M)"
-    (is "?f \<in> measurable ?P ?U")
-proof (rule measurable_PiM_single)
-  fix i A assume A: "A \<in> sets (M i)" "i \<in> I \<union> J"
-  then have "{\<omega> \<in> space ?P. merge I J \<omega> i \<in> A} =
-    (if i \<in> I then ((\<lambda>x. x i) \<circ> fst) -` A \<inter> space ?P else ((\<lambda>x. x i) \<circ> snd) -` A \<inter> space ?P)"
-    by (auto simp: merge_def)
-  also have "\<dots> \<in> sets ?P"
-    using A
-    by (auto intro!: measurable_sets[OF measurable_comp, OF _ measurable_component_singleton])
-  finally show "{\<omega> \<in> space ?P. merge I J \<omega> i \<in> A} \<in> sets ?P" .
-qed (auto simp: space_pair_measure space_PiM PiE_iff merge_def extensional_def)
-
-lemma measurable_restrict[measurable (raw)]:
-  assumes X: "\<And>i. i \<in> I \<Longrightarrow> X i \<in> measurable N (M i)"
-  shows "(\<lambda>x. \<lambda>i\<in>I. X i x) \<in> measurable N (Pi\<^sub>M I M)"
-proof (rule measurable_PiM_single)
-  fix A i assume A: "i \<in> I" "A \<in> sets (M i)"
-  then have "{\<omega> \<in> space N. (\<lambda>i\<in>I. X i \<omega>) i \<in> A} = X i -` A \<inter> space N"
-    by auto
-  then show "{\<omega> \<in> space N. (\<lambda>i\<in>I. X i \<omega>) i \<in> A} \<in> sets N"
-    using A X by (auto intro!: measurable_sets)
-qed (insert X, auto simp add: PiE_def dest: measurable_space)
-
-lemma measurable_abs_UNIV:
-  "(\<And>n. (\<lambda>\<omega>. f n \<omega>) \<in> measurable M (N n)) \<Longrightarrow> (\<lambda>\<omega> n. f n \<omega>) \<in> measurable M (PiM UNIV N)"
-  by (intro measurable_PiM_single) (auto dest: measurable_space)
-
-lemma measurable_restrict_subset: "J \<subseteq> L \<Longrightarrow> (\<lambda>f. restrict f J) \<in> measurable (Pi\<^sub>M L M) (Pi\<^sub>M J M)"
-  by (intro measurable_restrict measurable_component_singleton) auto
-
-lemma measurable_restrict_subset':
-  assumes "J \<subseteq> L" "\<And>x. x \<in> J \<Longrightarrow> sets (M x) = sets (N x)"
-  shows "(\<lambda>f. restrict f J) \<in> measurable (Pi\<^sub>M L M) (Pi\<^sub>M J N)"
-proof-
-  from assms(1) have "(\<lambda>f. restrict f J) \<in> measurable (Pi\<^sub>M L M) (Pi\<^sub>M J M)"
-    by (rule measurable_restrict_subset)
-  also from assms(2) have "measurable (Pi\<^sub>M L M) (Pi\<^sub>M J M) = measurable (Pi\<^sub>M L M) (Pi\<^sub>M J N)"
-    by (intro sets_PiM_cong measurable_cong_sets) simp_all
-  finally show ?thesis .
-qed
-
-lemma measurable_prod_emb[intro, simp]:
-  "J \<subseteq> L \<Longrightarrow> X \<in> sets (Pi\<^sub>M J M) \<Longrightarrow> prod_emb L M J X \<in> sets (Pi\<^sub>M L M)"
-  unfolding prod_emb_def space_PiM[symmetric]
-  by (auto intro!: measurable_sets measurable_restrict measurable_component_singleton)
-
-lemma merge_in_prod_emb:
-  assumes "y \<in> space (PiM I M)" "x \<in> X" and X: "X \<in> sets (Pi\<^sub>M J M)" and "J \<subseteq> I"
-  shows "merge J I (x, y) \<in> prod_emb I M J X"
-  using assms sets.sets_into_space[OF X]
-  by (simp add: merge_def prod_emb_def subset_eq space_PiM PiE_def extensional_restrict Pi_iff
-           cong: if_cong restrict_cong)
-     (simp add: extensional_def)
-
-lemma prod_emb_eq_emptyD:
-  assumes J: "J \<subseteq> I" and ne: "space (PiM I M) \<noteq> {}" and X: "X \<in> sets (Pi\<^sub>M J M)"
-    and *: "prod_emb I M J X = {}"
-  shows "X = {}"
-proof safe
-  fix x assume "x \<in> X"
-  obtain \<omega> where "\<omega> \<in> space (PiM I M)"
-    using ne by blast
-  from merge_in_prod_emb[OF this \<open>x\<in>X\<close> X J] * show "x \<in> {}" by auto
-qed
-
-lemma sets_in_Pi_aux:
-  "finite I \<Longrightarrow> (\<And>j. j \<in> I \<Longrightarrow> {x\<in>space (M j). x \<in> F j} \<in> sets (M j)) \<Longrightarrow>
-  {x\<in>space (PiM I M). x \<in> Pi I F} \<in> sets (PiM I M)"
-  by (simp add: subset_eq Pi_iff)
-
-lemma sets_in_Pi[measurable (raw)]:
-  "finite I \<Longrightarrow> f \<in> measurable N (PiM I M) \<Longrightarrow>
-  (\<And>j. j \<in> I \<Longrightarrow> {x\<in>space (M j). x \<in> F j} \<in> sets (M j)) \<Longrightarrow>
-  Measurable.pred N (\<lambda>x. f x \<in> Pi I F)"
-  unfolding pred_def
-  by (rule measurable_sets_Collect[of f N "PiM I M", OF _ sets_in_Pi_aux]) auto
-
-lemma sets_in_extensional_aux:
-  "{x\<in>space (PiM I M). x \<in> extensional I} \<in> sets (PiM I M)"
-proof -
-  have "{x\<in>space (PiM I M). x \<in> extensional I} = space (PiM I M)"
-    by (auto simp add: extensional_def space_PiM)
-  then show ?thesis by simp
-qed
-
-lemma sets_in_extensional[measurable (raw)]:
-  "f \<in> measurable N (PiM I M) \<Longrightarrow> Measurable.pred N (\<lambda>x. f x \<in> extensional I)"
-  unfolding pred_def
-  by (rule measurable_sets_Collect[of f N "PiM I M", OF _ sets_in_extensional_aux]) auto
-
-lemma sets_PiM_I_countable:
-  assumes I: "countable I" and E: "\<And>i. i \<in> I \<Longrightarrow> E i \<in> sets (M i)" shows "Pi\<^sub>E I E \<in> sets (Pi\<^sub>M I M)"
-proof cases
-  assume "I \<noteq> {}"
-  then have "PiE I E = (\<Inter>i\<in>I. prod_emb I M {i} (PiE {i} E))"
-    using E[THEN sets.sets_into_space] by (auto simp: PiE_iff prod_emb_def fun_eq_iff)
-  also have "\<dots> \<in> sets (PiM I M)"
-    using I \<open>I \<noteq> {}\<close> by (safe intro!: sets.countable_INT' measurable_prod_emb sets_PiM_I_finite E)
-  finally show ?thesis .
-qed (simp add: sets_PiM_empty)
-
-lemma sets_PiM_D_countable:
-  assumes A: "A \<in> PiM I M"
-  shows "\<exists>J\<subseteq>I. \<exists>X\<in>PiM J M. countable J \<and> A = prod_emb I M J X"
-  using A[unfolded sets_PiM_single]
-proof induction
-  case (Basic A)
-  then obtain i X where *: "i \<in> I" "X \<in> sets (M i)" and "A = {f \<in> \<Pi>\<^sub>E i\<in>I. space (M i). f i \<in> X}"
-    by auto
-  then have A: "A = prod_emb I M {i} (\<Pi>\<^sub>E _\<in>{i}. X)"
-    by (auto simp: prod_emb_def)
-  then show ?case
-    by (intro exI[of _ "{i}"] conjI bexI[of _ "\<Pi>\<^sub>E _\<in>{i}. X"])
-       (auto intro: countable_finite * sets_PiM_I_finite)
-next
-  case Empty then show ?case
-    by (intro exI[of _ "{}"] conjI bexI[of _ "{}"]) auto
-next
-  case (Compl A)
-  then obtain J X where "J \<subseteq> I" "X \<in> sets (Pi\<^sub>M J M)" "countable J" "A = prod_emb I M J X"
-    by auto
-  then show ?case
-    by (intro exI[of _ J] bexI[of _ "space (PiM J M) - X"] conjI)
-       (auto simp add: space_PiM prod_emb_PiE intro!: sets_PiM_I_countable)
-next
-  case (Union K)
-  obtain J X where J: "\<And>i. J i \<subseteq> I" "\<And>i. countable (J i)" and X: "\<And>i. X i \<in> sets (Pi\<^sub>M (J i) M)"
-    and K: "\<And>i. K i = prod_emb I M (J i) (X i)"
-    by (metis Union.IH)
-  show ?case
-  proof (intro exI[of _ "\<Union>i. J i"] bexI[of _ "\<Union>i. prod_emb (\<Union>i. J i) M (J i) (X i)"] conjI)
-    show "(\<Union>i. J i) \<subseteq> I" "countable (\<Union>i. J i)" using J by auto
-    with J show "UNION UNIV K = prod_emb I M (\<Union>i. J i) (\<Union>i. prod_emb (\<Union>i. J i) M (J i) (X i))"
-      by (simp add: K[abs_def] SUP_upper)
-  qed(auto intro: X)
-qed
-
-lemma measure_eqI_PiM_finite:
-  assumes [simp]: "finite I" "sets P = PiM I M" "sets Q = PiM I M"
-  assumes eq: "\<And>A. (\<And>i. i \<in> I \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow> P (Pi\<^sub>E I A) = Q (Pi\<^sub>E I A)"
-  assumes A: "range A \<subseteq> prod_algebra I M" "(\<Union>i. A i) = space (PiM I M)" "\<And>i::nat. P (A i) \<noteq> \<infinity>"
-  shows "P = Q"
-proof (rule measure_eqI_generator_eq[OF Int_stable_prod_algebra prod_algebra_sets_into_space])
-  show "range A \<subseteq> prod_algebra I M" "(\<Union>i. A i) = (\<Pi>\<^sub>E i\<in>I. space (M i))" "\<And>i. P (A i) \<noteq> \<infinity>"
-    unfolding space_PiM[symmetric] by fact+
-  fix X assume "X \<in> prod_algebra I M"
-  then obtain J E where X: "X = prod_emb I M J (PIE j:J. E j)"
-    and J: "finite J" "J \<subseteq> I" "\<And>j. j \<in> J \<Longrightarrow> E j \<in> sets (M j)"
-    by (force elim!: prod_algebraE)
-  then show "emeasure P X = emeasure Q X"
-    unfolding X by (subst (1 2) prod_emb_Pi) (auto simp: eq)
-qed (simp_all add: sets_PiM)
-
-lemma measure_eqI_PiM_infinite:
-  assumes [simp]: "sets P = PiM I M" "sets Q = PiM I M"
-  assumes eq: "\<And>A J. finite J \<Longrightarrow> J \<subseteq> I \<Longrightarrow> (\<And>i. i \<in> J \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow>
-    P (prod_emb I M J (Pi\<^sub>E J A)) = Q (prod_emb I M J (Pi\<^sub>E J A))"
-  assumes A: "finite_measure P"
-  shows "P = Q"
-proof (rule measure_eqI_generator_eq[OF Int_stable_prod_algebra prod_algebra_sets_into_space])
-  interpret finite_measure P by fact
-  define i where "i = (SOME i. i \<in> I)"
-  have i: "I \<noteq> {} \<Longrightarrow> i \<in> I"
-    unfolding i_def by (rule someI_ex) auto
-  define A where "A n =
-    (if I = {} then prod_emb I M {} (\<Pi>\<^sub>E i\<in>{}. {}) else prod_emb I M {i} (\<Pi>\<^sub>E i\<in>{i}. space (M i)))"
-    for n :: nat
-  then show "range A \<subseteq> prod_algebra I M"
-    using prod_algebraI[of "{}" I "\<lambda>i. space (M i)" M] by (auto intro!: prod_algebraI i)
-  have "\<And>i. A i = space (PiM I M)"
-    by (auto simp: prod_emb_def space_PiM PiE_iff A_def i ex_in_conv[symmetric] exI)
-  then show "(\<Union>i. A i) = (\<Pi>\<^sub>E i\<in>I. space (M i))" "\<And>i. emeasure P (A i) \<noteq> \<infinity>"
-    by (auto simp: space_PiM)
-next
-  fix X assume X: "X \<in> prod_algebra I M"
-  then obtain J E where X: "X = prod_emb I M J (PIE j:J. E j)"
-    and J: "finite J" "J \<subseteq> I" "\<And>j. j \<in> J \<Longrightarrow> E j \<in> sets (M j)"
-    by (force elim!: prod_algebraE)
-  then show "emeasure P X = emeasure Q X"
-    by (auto intro!: eq)
-qed (auto simp: sets_PiM)
-
-locale product_sigma_finite =
-  fixes M :: "'i \<Rightarrow> 'a measure"
-  assumes sigma_finite_measures: "\<And>i. sigma_finite_measure (M i)"
-
-sublocale product_sigma_finite \<subseteq> M?: sigma_finite_measure "M i" for i
-  by (rule sigma_finite_measures)
-
-locale finite_product_sigma_finite = product_sigma_finite M for M :: "'i \<Rightarrow> 'a measure" +
-  fixes I :: "'i set"
-  assumes finite_index: "finite I"
-
-lemma (in finite_product_sigma_finite) sigma_finite_pairs:
-  "\<exists>F::'i \<Rightarrow> nat \<Rightarrow> 'a set.
-    (\<forall>i\<in>I. range (F i) \<subseteq> sets (M i)) \<and>
-    (\<forall>k. \<forall>i\<in>I. emeasure (M i) (F i k) \<noteq> \<infinity>) \<and> incseq (\<lambda>k. \<Pi>\<^sub>E i\<in>I. F i k) \<and>
-    (\<Union>k. \<Pi>\<^sub>E i\<in>I. F i k) = space (PiM I M)"
-proof -
-  have "\<forall>i::'i. \<exists>F::nat \<Rightarrow> 'a set. range F \<subseteq> sets (M i) \<and> incseq F \<and> (\<Union>i. F i) = space (M i) \<and> (\<forall>k. emeasure (M i) (F k) \<noteq> \<infinity>)"
-    using M.sigma_finite_incseq by metis
-  from choice[OF this] guess F :: "'i \<Rightarrow> nat \<Rightarrow> 'a set" ..
-  then have F: "\<And>i. range (F i) \<subseteq> sets (M i)" "\<And>i. incseq (F i)" "\<And>i. (\<Union>j. F i j) = space (M i)" "\<And>i k. emeasure (M i) (F i k) \<noteq> \<infinity>"
-    by auto
-  let ?F = "\<lambda>k. \<Pi>\<^sub>E i\<in>I. F i k"
-  note space_PiM[simp]
-  show ?thesis
-  proof (intro exI[of _ F] conjI allI incseq_SucI set_eqI iffI ballI)
-    fix i show "range (F i) \<subseteq> sets (M i)" by fact
-  next
-    fix i k show "emeasure (M i) (F i k) \<noteq> \<infinity>" by fact
-  next
-    fix x assume "x \<in> (\<Union>i. ?F i)" with F(1) show "x \<in> space (PiM I M)"
-      by (auto simp: PiE_def dest!: sets.sets_into_space)
-  next
-    fix f assume "f \<in> space (PiM I M)"
-    with Pi_UN[OF finite_index, of "\<lambda>k i. F i k"] F
-    show "f \<in> (\<Union>i. ?F i)" by (auto simp: incseq_def PiE_def)
-  next
-    fix i show "?F i \<subseteq> ?F (Suc i)"
-      using \<open>\<And>i. incseq (F i)\<close>[THEN incseq_SucD] by auto
-  qed
-qed
-
-lemma emeasure_PiM_empty[simp]: "emeasure (PiM {} M) {\<lambda>_. undefined} = 1"
-proof -
-  let ?\<mu> = "\<lambda>A. if A = {} then 0 else (1::ennreal)"
-  have "emeasure (Pi\<^sub>M {} M) (prod_emb {} M {} (\<Pi>\<^sub>E i\<in>{}. {})) = 1"
-  proof (subst emeasure_extend_measure_Pair[OF PiM_def])
-    show "positive (PiM {} M) ?\<mu>"
-      by (auto simp: positive_def)
-    show "countably_additive (PiM {} M) ?\<mu>"
-      by (rule sets.countably_additiveI_finite)
-         (auto simp: additive_def positive_def sets_PiM_empty space_PiM_empty intro!: )
-  qed (auto simp: prod_emb_def)
-  also have "(prod_emb {} M {} (\<Pi>\<^sub>E i\<in>{}. {})) = {\<lambda>_. undefined}"
-    by (auto simp: prod_emb_def)
-  finally show ?thesis
-    by simp
-qed
-
-lemma PiM_empty: "PiM {} M = count_space {\<lambda>_. undefined}"
-  by (rule measure_eqI) (auto simp add: sets_PiM_empty)
-
-lemma (in product_sigma_finite) emeasure_PiM:
-  "finite I \<Longrightarrow> (\<And>i. i\<in>I \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow> emeasure (PiM I M) (Pi\<^sub>E I A) = (\<Prod>i\<in>I. emeasure (M i) (A i))"
-proof (induct I arbitrary: A rule: finite_induct)
-  case (insert i I)
-  interpret finite_product_sigma_finite M I by standard fact
-  have "finite (insert i I)" using \<open>finite I\<close> by auto
-  interpret I': finite_product_sigma_finite M "insert i I" by standard fact
-  let ?h = "(\<lambda>(f, y). f(i := y))"
-
-  let ?P = "distr (Pi\<^sub>M I M \<Otimes>\<^sub>M M i) (Pi\<^sub>M (insert i I) M) ?h"
-  let ?\<mu> = "emeasure ?P"
-  let ?I = "{j \<in> insert i I. emeasure (M j) (space (M j)) \<noteq> 1}"
-  let ?f = "\<lambda>J E j. if j \<in> J then emeasure (M j) (E j) else emeasure (M j) (space (M j))"
-
-  have "emeasure (Pi\<^sub>M (insert i I) M) (prod_emb (insert i I) M (insert i I) (Pi\<^sub>E (insert i I) A)) =
-    (\<Prod>i\<in>insert i I. emeasure (M i) (A i))"
-  proof (subst emeasure_extend_measure_Pair[OF PiM_def])
-    fix J E assume "(J \<noteq> {} \<or> insert i I = {}) \<and> finite J \<and> J \<subseteq> insert i I \<and> E \<in> (\<Pi> j\<in>J. sets (M j))"
-    then have J: "J \<noteq> {}" "finite J" "J \<subseteq> insert i I" and E: "\<forall>j\<in>J. E j \<in> sets (M j)" by auto
-    let ?p = "prod_emb (insert i I) M J (Pi\<^sub>E J E)"
-    let ?p' = "prod_emb I M (J - {i}) (\<Pi>\<^sub>E j\<in>J-{i}. E j)"
-    have "?\<mu> ?p =
-      emeasure (Pi\<^sub>M I M \<Otimes>\<^sub>M (M i)) (?h -` ?p \<inter> space (Pi\<^sub>M I M \<Otimes>\<^sub>M M i))"
-      by (intro emeasure_distr measurable_add_dim sets_PiM_I) fact+
-    also have "?h -` ?p \<inter> space (Pi\<^sub>M I M \<Otimes>\<^sub>M M i) = ?p' \<times> (if i \<in> J then E i else space (M i))"
-      using J E[rule_format, THEN sets.sets_into_space]
-      by (force simp: space_pair_measure space_PiM prod_emb_iff PiE_def Pi_iff split: if_split_asm)
-    also have "emeasure (Pi\<^sub>M I M \<Otimes>\<^sub>M (M i)) (?p' \<times> (if i \<in> J then E i else space (M i))) =
-      emeasure (Pi\<^sub>M I M) ?p' * emeasure (M i) (if i \<in> J then (E i) else space (M i))"
-      using J E by (intro M.emeasure_pair_measure_Times sets_PiM_I) auto
-    also have "?p' = (\<Pi>\<^sub>E j\<in>I. if j \<in> J-{i} then E j else space (M j))"
-      using J E[rule_format, THEN sets.sets_into_space]
-      by (auto simp: prod_emb_iff PiE_def Pi_iff split: if_split_asm) blast+
-    also have "emeasure (Pi\<^sub>M I M) (\<Pi>\<^sub>E j\<in>I. if j \<in> J-{i} then E j else space (M j)) =
-      (\<Prod> j\<in>I. if j \<in> J-{i} then emeasure (M j) (E j) else emeasure (M j) (space (M j)))"
-      using E by (subst insert) (auto intro!: setprod.cong)
-    also have "(\<Prod>j\<in>I. if j \<in> J - {i} then emeasure (M j) (E j) else emeasure (M j) (space (M j))) *
-       emeasure (M i) (if i \<in> J then E i else space (M i)) = (\<Prod>j\<in>insert i I. ?f J E j)"
-      using insert by (auto simp: mult.commute intro!: arg_cong2[where f="op *"] setprod.cong)
-    also have "\<dots> = (\<Prod>j\<in>J \<union> ?I. ?f J E j)"
-      using insert(1,2) J E by (intro setprod.mono_neutral_right) auto
-    finally show "?\<mu> ?p = \<dots>" .
-
-    show "prod_emb (insert i I) M J (Pi\<^sub>E J E) \<in> Pow (\<Pi>\<^sub>E i\<in>insert i I. space (M i))"
-      using J E[rule_format, THEN sets.sets_into_space] by (auto simp: prod_emb_iff PiE_def)
-  next
-    show "positive (sets (Pi\<^sub>M (insert i I) M)) ?\<mu>" "countably_additive (sets (Pi\<^sub>M (insert i I) M)) ?\<mu>"
-      using emeasure_positive[of ?P] emeasure_countably_additive[of ?P] by simp_all
-  next
-    show "(insert i I \<noteq> {} \<or> insert i I = {}) \<and> finite (insert i I) \<and>
-      insert i I \<subseteq> insert i I \<and> A \<in> (\<Pi> j\<in>insert i I. sets (M j))"
-      using insert by auto
-  qed (auto intro!: setprod.cong)
-  with insert show ?case
-    by (subst (asm) prod_emb_PiE_same_index) (auto intro!: sets.sets_into_space)
-qed simp
-
-lemma (in product_sigma_finite) PiM_eqI:
-  assumes I[simp]: "finite I" and P: "sets P = PiM I M"
-  assumes eq: "\<And>A. (\<And>i. i \<in> I \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow> P (Pi\<^sub>E I A) = (\<Prod>i\<in>I. emeasure (M i) (A i))"
-  shows "P = PiM I M"
-proof -
-  interpret finite_product_sigma_finite M I
-    proof qed fact
-  from sigma_finite_pairs guess C .. note C = this
-  show ?thesis
-  proof (rule measure_eqI_PiM_finite[OF I refl P, symmetric])
-    show "(\<And>i. i \<in> I \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow> (Pi\<^sub>M I M) (Pi\<^sub>E I A) = P (Pi\<^sub>E I A)" for A
-      by (simp add: eq emeasure_PiM)
-    define A where "A n = (\<Pi>\<^sub>E i\<in>I. C i n)" for n
-    with C show "range A \<subseteq> prod_algebra I M" "\<And>i. emeasure (Pi\<^sub>M I M) (A i) \<noteq> \<infinity>" "(\<Union>i. A i) = space (PiM I M)"
-      by (auto intro!: prod_algebraI_finite simp: emeasure_PiM subset_eq ennreal_setprod_eq_top)
-  qed
-qed
-
-lemma (in product_sigma_finite) sigma_finite:
-  assumes "finite I"
-  shows "sigma_finite_measure (PiM I M)"
-proof
-  interpret finite_product_sigma_finite M I by standard fact
-
-  obtain F where F: "\<And>j. countable (F j)" "\<And>j f. f \<in> F j \<Longrightarrow> f \<in> sets (M j)"
-    "\<And>j f. f \<in> F j \<Longrightarrow> emeasure (M j) f \<noteq> \<infinity>" and
-    in_space: "\<And>j. space (M j) = (\<Union>F j)"
-    using sigma_finite_countable by (metis subset_eq)
-  moreover have "(\<Union>(PiE I ` PiE I F)) = space (Pi\<^sub>M I M)"
-    using in_space by (auto simp: space_PiM PiE_iff intro!: PiE_choice[THEN iffD2])
-  ultimately show "\<exists>A. countable A \<and> A \<subseteq> sets (Pi\<^sub>M I M) \<and> \<Union>A = space (Pi\<^sub>M I M) \<and> (\<forall>a\<in>A. emeasure (Pi\<^sub>M I M) a \<noteq> \<infinity>)"
-    by (intro exI[of _ "PiE I ` PiE I F"])
-       (auto intro!: countable_PiE sets_PiM_I_finite
-             simp: PiE_iff emeasure_PiM finite_index ennreal_setprod_eq_top)
-qed
-
-sublocale finite_product_sigma_finite \<subseteq> sigma_finite_measure "Pi\<^sub>M I M"
-  using sigma_finite[OF finite_index] .
-
-lemma (in finite_product_sigma_finite) measure_times:
-  "(\<And>i. i \<in> I \<Longrightarrow> A i \<in> sets (M i)) \<Longrightarrow> emeasure (Pi\<^sub>M I M) (Pi\<^sub>E I A) = (\<Prod>i\<in>I. emeasure (M i) (A i))"
-  using emeasure_PiM[OF finite_index] by auto
-
-lemma (in product_sigma_finite) nn_integral_empty:
-  "0 \<le> f (\<lambda>k. undefined) \<Longrightarrow> integral\<^sup>N (Pi\<^sub>M {} M) f = f (\<lambda>k. undefined)"
-  by (simp add: PiM_empty nn_integral_count_space_finite max.absorb2)
-
-lemma (in product_sigma_finite) distr_merge:
-  assumes IJ[simp]: "I \<inter> J = {}" and fin: "finite I" "finite J"
-  shows "distr (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M) (Pi\<^sub>M (I \<union> J) M) (merge I J) = Pi\<^sub>M (I \<union> J) M"
-   (is "?D = ?P")
-proof (rule PiM_eqI)
-  interpret I: finite_product_sigma_finite M I by standard fact
-  interpret J: finite_product_sigma_finite M J by standard fact
-  fix A assume A: "\<And>i. i \<in> I \<union> J \<Longrightarrow> A i \<in> sets (M i)"
-  have *: "(merge I J -` Pi\<^sub>E (I \<union> J) A \<inter> space (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M)) = PiE I A \<times> PiE J A"
-    using A[THEN sets.sets_into_space] by (auto simp: space_PiM space_pair_measure)
-  from A fin show "emeasure (distr (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M) (Pi\<^sub>M (I \<union> J) M) (merge I J)) (Pi\<^sub>E (I \<union> J) A) =
-      (\<Prod>i\<in>I \<union> J. emeasure (M i) (A i))"
-    by (subst emeasure_distr)
-       (auto simp: * J.emeasure_pair_measure_Times I.measure_times J.measure_times setprod.union_disjoint)
-qed (insert fin, simp_all)
-
-lemma (in product_sigma_finite) product_nn_integral_fold:
-  assumes IJ: "I \<inter> J = {}" "finite I" "finite J"
-  and f[measurable]: "f \<in> borel_measurable (Pi\<^sub>M (I \<union> J) M)"
-  shows "integral\<^sup>N (Pi\<^sub>M (I \<union> J) M) f =
-    (\<integral>\<^sup>+ x. (\<integral>\<^sup>+ y. f (merge I J (x, y)) \<partial>(Pi\<^sub>M J M)) \<partial>(Pi\<^sub>M I M))"
-proof -
-  interpret I: finite_product_sigma_finite M I by standard fact
-  interpret J: finite_product_sigma_finite M J by standard fact
-  interpret P: pair_sigma_finite "Pi\<^sub>M I M" "Pi\<^sub>M J M" by standard
-  have P_borel: "(\<lambda>x. f (merge I J x)) \<in> borel_measurable (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M)"
-    using measurable_comp[OF measurable_merge f] by (simp add: comp_def)
-  show ?thesis
-    apply (subst distr_merge[OF IJ, symmetric])
-    apply (subst nn_integral_distr[OF measurable_merge])
-    apply measurable []
-    apply (subst J.nn_integral_fst[symmetric, OF P_borel])
-    apply simp
-    done
-qed
-
-lemma (in product_sigma_finite) distr_singleton:
-  "distr (Pi\<^sub>M {i} M) (M i) (\<lambda>x. x i) = M i" (is "?D = _")
-proof (intro measure_eqI[symmetric])
-  interpret I: finite_product_sigma_finite M "{i}" by standard simp
-  fix A assume A: "A \<in> sets (M i)"
-  then have "(\<lambda>x. x i) -` A \<inter> space (Pi\<^sub>M {i} M) = (\<Pi>\<^sub>E i\<in>{i}. A)"
-    using sets.sets_into_space by (auto simp: space_PiM)
-  then show "emeasure (M i) A = emeasure ?D A"
-    using A I.measure_times[of "\<lambda>_. A"]
-    by (simp add: emeasure_distr measurable_component_singleton)
-qed simp
-
-lemma (in product_sigma_finite) product_nn_integral_singleton:
-  assumes f: "f \<in> borel_measurable (M i)"
-  shows "integral\<^sup>N (Pi\<^sub>M {i} M) (\<lambda>x. f (x i)) = integral\<^sup>N (M i) f"
-proof -
-  interpret I: finite_product_sigma_finite M "{i}" by standard simp
-  from f show ?thesis
-    apply (subst distr_singleton[symmetric])
-    apply (subst nn_integral_distr[OF measurable_component_singleton])
-    apply simp_all
-    done
-qed
-
-lemma (in product_sigma_finite) product_nn_integral_insert:
-  assumes I[simp]: "finite I" "i \<notin> I"
-    and f: "f \<in> borel_measurable (Pi\<^sub>M (insert i I) M)"
-  shows "integral\<^sup>N (Pi\<^sub>M (insert i I) M) f = (\<integral>\<^sup>+ x. (\<integral>\<^sup>+ y. f (x(i := y)) \<partial>(M i)) \<partial>(Pi\<^sub>M I M))"
-proof -
-  interpret I: finite_product_sigma_finite M I by standard auto
-  interpret i: finite_product_sigma_finite M "{i}" by standard auto
-  have IJ: "I \<inter> {i} = {}" and insert: "I \<union> {i} = insert i I"
-    using f by auto
-  show ?thesis
-    unfolding product_nn_integral_fold[OF IJ, unfolded insert, OF I(1) i.finite_index f]
-  proof (rule nn_integral_cong, subst product_nn_integral_singleton[symmetric])
-    fix x assume x: "x \<in> space (Pi\<^sub>M I M)"
-    let ?f = "\<lambda>y. f (x(i := y))"
-    show "?f \<in> borel_measurable (M i)"
-      using measurable_comp[OF measurable_component_update f, OF x \<open>i \<notin> I\<close>]
-      unfolding comp_def .
-    show "(\<integral>\<^sup>+ y. f (merge I {i} (x, y)) \<partial>Pi\<^sub>M {i} M) = (\<integral>\<^sup>+ y. f (x(i := y i)) \<partial>Pi\<^sub>M {i} M)"
-      using x
-      by (auto intro!: nn_integral_cong arg_cong[where f=f]
-               simp add: space_PiM extensional_def PiE_def)
-  qed
-qed
-
-lemma (in product_sigma_finite) product_nn_integral_insert_rev:
-  assumes I[simp]: "finite I" "i \<notin> I"
-    and [measurable]: "f \<in> borel_measurable (Pi\<^sub>M (insert i I) M)"
-  shows "integral\<^sup>N (Pi\<^sub>M (insert i I) M) f = (\<integral>\<^sup>+ y. (\<integral>\<^sup>+ x. f (x(i := y)) \<partial>(Pi\<^sub>M I M)) \<partial>(M i))"
-  apply (subst product_nn_integral_insert[OF assms])
-  apply (rule pair_sigma_finite.Fubini')
-  apply intro_locales []
-  apply (rule sigma_finite[OF I(1)])
-  apply measurable
-  done
-
-lemma (in product_sigma_finite) product_nn_integral_setprod:
-  assumes "finite I" "\<And>i. i \<in> I \<Longrightarrow> f i \<in> borel_measurable (M i)"
-  shows "(\<integral>\<^sup>+ x. (\<Prod>i\<in>I. f i (x i)) \<partial>Pi\<^sub>M I M) = (\<Prod>i\<in>I. integral\<^sup>N (M i) (f i))"
-using assms proof (induction I)
-  case (insert i I)
-  note insert.prems[measurable]
-  note \<open>finite I\<close>[intro, simp]
-  interpret I: finite_product_sigma_finite M I by standard auto
-  have *: "\<And>x y. (\<Prod>j\<in>I. f j (if j = i then y else x j)) = (\<Prod>j\<in>I. f j (x j))"
-    using insert by (auto intro!: setprod.cong)
-  have prod: "\<And>J. J \<subseteq> insert i I \<Longrightarrow> (\<lambda>x. (\<Prod>i\<in>J. f i (x i))) \<in> borel_measurable (Pi\<^sub>M J M)"
-    using sets.sets_into_space insert
-    by (intro borel_measurable_setprod_ennreal
-              measurable_comp[OF measurable_component_singleton, unfolded comp_def])
-       auto
-  then show ?case
-    apply (simp add: product_nn_integral_insert[OF insert(1,2)])
-    apply (simp add: insert(2-) * nn_integral_multc)
-    apply (subst nn_integral_cmult)
-    apply (auto simp add: insert(2-))
-    done
-qed (simp add: space_PiM)
-
-lemma (in product_sigma_finite) product_nn_integral_pair:
-  assumes [measurable]: "case_prod f \<in> borel_measurable (M x \<Otimes>\<^sub>M M y)"
-  assumes xy: "x \<noteq> y"
-  shows "(\<integral>\<^sup>+\<sigma>. f (\<sigma> x) (\<sigma> y) \<partial>PiM {x, y} M) = (\<integral>\<^sup>+z. f (fst z) (snd z) \<partial>(M x \<Otimes>\<^sub>M M y))"
-proof-
-  interpret psm: pair_sigma_finite "M x" "M y"
-    unfolding pair_sigma_finite_def using sigma_finite_measures by simp_all
-  have "{x, y} = {y, x}" by auto
-  also have "(\<integral>\<^sup>+\<sigma>. f (\<sigma> x) (\<sigma> y) \<partial>PiM {y, x} M) = (\<integral>\<^sup>+y. \<integral>\<^sup>+\<sigma>. f (\<sigma> x) y \<partial>PiM {x} M \<partial>M y)"
-    using xy by (subst product_nn_integral_insert_rev) simp_all
-  also have "... = (\<integral>\<^sup>+y. \<integral>\<^sup>+x. f x y \<partial>M x \<partial>M y)"
-    by (intro nn_integral_cong, subst product_nn_integral_singleton) simp_all
-  also have "... = (\<integral>\<^sup>+z. f (fst z) (snd z) \<partial>(M x \<Otimes>\<^sub>M M y))"
-    by (subst psm.nn_integral_snd[symmetric]) simp_all
-  finally show ?thesis .
-qed
-
-lemma (in product_sigma_finite) distr_component:
-  "distr (M i) (Pi\<^sub>M {i} M) (\<lambda>x. \<lambda>i\<in>{i}. x) = Pi\<^sub>M {i} M" (is "?D = ?P")
-proof (intro PiM_eqI)
-  fix A assume A: "\<And>ia. ia \<in> {i} \<Longrightarrow> A ia \<in> sets (M ia)"
-  then have "(\<lambda>x. \<lambda>i\<in>{i}. x) -` Pi\<^sub>E {i} A \<inter> space (M i) = A i"
-    by (auto dest: sets.sets_into_space)
-  with A show "emeasure (distr (M i) (Pi\<^sub>M {i} M) (\<lambda>x. \<lambda>i\<in>{i}. x)) (Pi\<^sub>E {i} A) = (\<Prod>i\<in>{i}. emeasure (M i) (A i))"
-    by (subst emeasure_distr) (auto intro!: sets_PiM_I_finite measurable_restrict)
-qed simp_all
-
-lemma (in product_sigma_finite)
-  assumes IJ: "I \<inter> J = {}" "finite I" "finite J" and A: "A \<in> sets (Pi\<^sub>M (I \<union> J) M)"
-  shows emeasure_fold_integral:
-    "emeasure (Pi\<^sub>M (I \<union> J) M) A = (\<integral>\<^sup>+x. emeasure (Pi\<^sub>M J M) ((\<lambda>y. merge I J (x, y)) -` A \<inter> space (Pi\<^sub>M J M)) \<partial>Pi\<^sub>M I M)" (is ?I)
-    and emeasure_fold_measurable:
-    "(\<lambda>x. emeasure (Pi\<^sub>M J M) ((\<lambda>y. merge I J (x, y)) -` A \<inter> space (Pi\<^sub>M J M))) \<in> borel_measurable (Pi\<^sub>M I M)" (is ?B)
-proof -
-  interpret I: finite_product_sigma_finite M I by standard fact
-  interpret J: finite_product_sigma_finite M J by standard fact
-  interpret IJ: pair_sigma_finite "Pi\<^sub>M I M" "Pi\<^sub>M J M" ..
-  have merge: "merge I J -` A \<inter> space (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M) \<in> sets (Pi\<^sub>M I M \<Otimes>\<^sub>M Pi\<^sub>M J M)"
-    by (intro measurable_sets[OF _ A] measurable_merge assms)
-
-  show ?I
-    apply (subst distr_merge[symmetric, OF IJ])
-    apply (subst emeasure_distr[OF measurable_merge A])
-    apply (subst J.emeasure_pair_measure_alt[OF merge])
-    apply (auto intro!: nn_integral_cong arg_cong2[where f=emeasure] simp: space_pair_measure)
-    done
-
-  show ?B
-    using IJ.measurable_emeasure_Pair1[OF merge]
-    by (simp add: vimage_comp comp_def space_pair_measure cong: measurable_cong)
-qed
-
-lemma sets_Collect_single:
-  "i \<in> I \<Longrightarrow> A \<in> sets (M i) \<Longrightarrow> { x \<in> space (Pi\<^sub>M I M). x i \<in> A } \<in> sets (Pi\<^sub>M I M)"
-  by simp
-
-lemma pair_measure_eq_distr_PiM:
-  fixes M1 :: "'a measure" and M2 :: "'a measure"
-  assumes "sigma_finite_measure M1" "sigma_finite_measure M2"
-  shows "(M1 \<Otimes>\<^sub>M M2) = distr (Pi\<^sub>M UNIV (case_bool M1 M2)) (M1 \<Otimes>\<^sub>M M2) (\<lambda>x. (x True, x False))"
-    (is "?P = ?D")
-proof (rule pair_measure_eqI[OF assms])
-  interpret B: product_sigma_finite "case_bool M1 M2"
-    unfolding product_sigma_finite_def using assms by (auto split: bool.split)
-  let ?B = "Pi\<^sub>M UNIV (case_bool M1 M2)"
-
-  have [simp]: "fst \<circ> (\<lambda>x. (x True, x False)) = (\<lambda>x. x True)" "snd \<circ> (\<lambda>x. (x True, x False)) = (\<lambda>x. x False)"
-    by auto
-  fix A B assume A: "A \<in> sets M1" and B: "B \<in> sets M2"
-  have "emeasure M1 A * emeasure M2 B = (\<Prod> i\<in>UNIV. emeasure (case_bool M1 M2 i) (case_bool A B i))"
-    by (simp add: UNIV_bool ac_simps)
-  also have "\<dots> = emeasure ?B (Pi\<^sub>E UNIV (case_bool A B))"
-    using A B by (subst B.emeasure_PiM) (auto split: bool.split)
-  also have "Pi\<^sub>E UNIV (case_bool A B) = (\<lambda>x. (x True, x False)) -` (A \<times> B) \<inter> space ?B"
-    using A[THEN sets.sets_into_space] B[THEN sets.sets_into_space]
-    by (auto simp: PiE_iff all_bool_eq space_PiM split: bool.split)
-  finally show "emeasure M1 A * emeasure M2 B = emeasure ?D (A \<times> B)"
-    using A B
-      measurable_component_singleton[of True UNIV "case_bool M1 M2"]
-      measurable_component_singleton[of False UNIV "case_bool M1 M2"]
-    by (subst emeasure_distr) (auto simp: measurable_pair_iff)
-qed simp
-
-end