author nipkow Wed, 03 Oct 2018 09:46:42 +0200 changeset 69107 c2de7a5c8de9 parent 69106 742c88258cf8 child 69108 e2780bb26395
shuffle -> shuffles
 src/HOL/Binomial.thy file | annotate | diff | comparison | revisions src/HOL/Library/Multiset.thy file | annotate | diff | comparison | revisions src/HOL/List.thy file | annotate | diff | comparison | revisions src/HOL/Probability/Random_Permutations.thy file | annotate | diff | comparison | revisions
```--- a/src/HOL/Binomial.thy	Tue Oct 02 21:37:26 2018 +0200
+++ b/src/HOL/Binomial.thy	Wed Oct 03 09:46:42 2018 +0200
@@ -1243,21 +1243,21 @@
qed
qed

-lemma card_disjoint_shuffle:
+lemma card_disjoint_shuffles:
assumes "set xs \<inter> set ys = {}"
-  shows   "card (shuffle xs ys) = (length xs + length ys) choose length xs"
+  shows   "card (shuffles xs ys) = (length xs + length ys) choose length xs"
using assms
-proof (induction xs ys rule: shuffle.induct)
+proof (induction xs ys rule: shuffles.induct)
case (3 x xs y ys)
-  have "shuffle (x # xs) (y # ys) = (#) x ` shuffle xs (y # ys) \<union> (#) y ` shuffle (x # xs) ys"
-    by (rule shuffle.simps)
-  also have "card \<dots> = card ((#) x ` shuffle xs (y # ys)) + card ((#) y ` shuffle (x # xs) ys)"
+  have "shuffles (x # xs) (y # ys) = (#) x ` shuffles xs (y # ys) \<union> (#) y ` shuffles (x # xs) ys"
+    by (rule shuffles.simps)
+  also have "card \<dots> = card ((#) x ` shuffles xs (y # ys)) + card ((#) y ` shuffles (x # xs) ys)"
by (rule card_Un_disjoint) (insert "3.prems", auto)
-  also have "card ((#) x ` shuffle xs (y # ys)) = card (shuffle xs (y # ys))"
+  also have "card ((#) x ` shuffles xs (y # ys)) = card (shuffles xs (y # ys))"
by (rule card_image) auto
also have "\<dots> = (length xs + length (y # ys)) choose length xs"
using "3.prems" by (intro "3.IH") auto
-  also have "card ((#) y ` shuffle (x # xs) ys) = card (shuffle (x # xs) ys)"
+  also have "card ((#) y ` shuffles (x # xs) ys) = card (shuffles (x # xs) ys)"
by (rule card_image) auto
also have "\<dots> = (length (x # xs) + length ys) choose length (x # xs)"
using "3.prems" by (intro "3.IH") auto```
```--- a/src/HOL/Library/Multiset.thy	Tue Oct 02 21:37:26 2018 +0200
+++ b/src/HOL/Library/Multiset.thy	Wed Oct 03 09:46:42 2018 +0200
@@ -1936,8 +1936,8 @@
ultimately show ?case by simp
qed

-lemma mset_shuffle: "zs \<in> shuffle xs ys \<Longrightarrow> mset zs = mset xs + mset ys"
-  by (induction xs ys arbitrary: zs rule: shuffle.induct) auto
+lemma mset_shuffles: "zs \<in> shuffles xs ys \<Longrightarrow> mset zs = mset xs + mset ys"
+  by (induction xs ys arbitrary: zs rule: shuffles.induct) auto

lemma mset_insort [simp]: "mset (insort x xs) = add_mset x (mset xs)"
by (induct xs) simp_all```
```--- a/src/HOL/List.thy	Tue Oct 02 21:37:26 2018 +0200
+++ b/src/HOL/List.thy	Wed Oct 03 09:46:42 2018 +0200
@@ -266,10 +266,10 @@
termination
by(relation "measure(\<lambda>(xs,ys). size xs + size ys)") auto

-function shuffle where
-  "shuffle [] ys = {ys}"
-| "shuffle xs [] = {xs}"
-| "shuffle (x # xs) (y # ys) = (#) x ` shuffle xs (y # ys) \<union> (#) y ` shuffle (x # xs) ys"
+function shuffles where
+  "shuffles [] ys = {ys}"
+| "shuffles xs [] = {xs}"
+| "shuffles (x # xs) (y # ys) = (#) x ` shuffles xs (y # ys) \<union> (#) y ` shuffles (x # xs) ys"
by pat_completeness simp_all
termination by lexicographic_order

@@ -307,7 +307,7 @@
@{lemma "product_lists [[a,b], [c], [d,e]] = [[a,c,d], [a,c,e], [b,c,d], [b,c,e]]" by simp}\\
@{lemma "splice [a,b,c] [x,y,z] = [a,x,b,y,c,z]" by simp}\\
@{lemma "splice [a,b,c,d] [x,y] = [a,x,b,y,c,d]" by simp}\\
-@{lemma "shuffle [a,b] [c,d] =  {[a,b,c,d],[a,c,b,d],[a,c,d,b],[c,a,b,d],[c,a,d,b],[c,d,a,b]}"
+@{lemma "shuffles [a,b] [c,d] =  {[a,b,c,d],[a,c,b,d],[a,c,d,b],[c,a,b,d],[c,a,d,b],[c,d,a,b]}"
@{lemma "take 2 [a,b,c,d] = [a,b]" by simp}\\
@{lemma "take 6 [a,b,c,d] = [a,b,c,d]" by simp}\\
@@ -4532,145 +4532,145 @@
by (induct xs ys rule: splice.induct) auto

-subsubsection \<open>@{const shuffle}\<close>
-
-lemma shuffle_commutes: "shuffle xs ys = shuffle ys xs"
-by (induction xs ys rule: shuffle.induct) (simp_all add: Un_commute)
-
-lemma Nil_in_shuffle[simp]: "[] \<in> shuffle xs ys \<longleftrightarrow> xs = [] \<and> ys = []"
-  by (induct xs ys rule: shuffle.induct) auto
-
-lemma shuffleE:
-  "zs \<in> shuffle xs ys \<Longrightarrow>
+subsubsection \<open>@{const shuffles}\<close>
+
+lemma shuffles_commutes: "shuffles xs ys = shuffles ys xs"
+by (induction xs ys rule: shuffles.induct) (simp_all add: Un_commute)
+
+lemma Nil_in_shuffles[simp]: "[] \<in> shuffles xs ys \<longleftrightarrow> xs = [] \<and> ys = []"
+  by (induct xs ys rule: shuffles.induct) auto
+
+lemma shufflesE:
+  "zs \<in> shuffles xs ys \<Longrightarrow>
(zs = xs \<Longrightarrow> ys = [] \<Longrightarrow> P) \<Longrightarrow>
(zs = ys \<Longrightarrow> xs = [] \<Longrightarrow> P) \<Longrightarrow>
-    (\<And>x xs' z zs'. xs = x # xs' \<Longrightarrow> zs = z # zs' \<Longrightarrow> x = z \<Longrightarrow> zs' \<in> shuffle xs' ys \<Longrightarrow> P) \<Longrightarrow>
-    (\<And>y ys' z zs'. ys = y # ys' \<Longrightarrow> zs = z # zs' \<Longrightarrow> y = z \<Longrightarrow> zs' \<in> shuffle xs ys' \<Longrightarrow> P) \<Longrightarrow> P"
-  by (induct xs ys rule: shuffle.induct) auto
-
-lemma Cons_in_shuffle_iff:
-  "z # zs \<in> shuffle xs ys \<longleftrightarrow>
-    (xs \<noteq> [] \<and> hd xs = z \<and> zs \<in> shuffle (tl xs) ys \<or>
-     ys \<noteq> [] \<and> hd ys = z \<and> zs \<in> shuffle xs (tl ys))"
-  by (induct xs ys rule: shuffle.induct) auto
-
-lemma splice_in_shuffle [simp, intro]: "splice xs ys \<in> shuffle xs ys"
-by (induction xs ys rule: splice.induct) (simp_all add: Cons_in_shuffle_iff shuffle_commutes)
-
-lemma Nil_in_shuffleI: "xs = [] \<Longrightarrow> ys = [] \<Longrightarrow> [] \<in> shuffle xs ys"
+    (\<And>x xs' z zs'. xs = x # xs' \<Longrightarrow> zs = z # zs' \<Longrightarrow> x = z \<Longrightarrow> zs' \<in> shuffles xs' ys \<Longrightarrow> P) \<Longrightarrow>
+    (\<And>y ys' z zs'. ys = y # ys' \<Longrightarrow> zs = z # zs' \<Longrightarrow> y = z \<Longrightarrow> zs' \<in> shuffles xs ys' \<Longrightarrow> P) \<Longrightarrow> P"
+  by (induct xs ys rule: shuffles.induct) auto
+
+lemma Cons_in_shuffles_iff:
+  "z # zs \<in> shuffles xs ys \<longleftrightarrow>
+    (xs \<noteq> [] \<and> hd xs = z \<and> zs \<in> shuffles (tl xs) ys \<or>
+     ys \<noteq> [] \<and> hd ys = z \<and> zs \<in> shuffles xs (tl ys))"
+  by (induct xs ys rule: shuffles.induct) auto
+
+lemma splice_in_shuffles [simp, intro]: "splice xs ys \<in> shuffles xs ys"
+by (induction xs ys rule: splice.induct) (simp_all add: Cons_in_shuffles_iff shuffles_commutes)
+
+lemma Nil_in_shufflesI: "xs = [] \<Longrightarrow> ys = [] \<Longrightarrow> [] \<in> shuffles xs ys"
by simp

-lemma Cons_in_shuffle_leftI: "zs \<in> shuffle xs ys \<Longrightarrow> z # zs \<in> shuffle (z # xs) ys"
+lemma Cons_in_shuffles_leftI: "zs \<in> shuffles xs ys \<Longrightarrow> z # zs \<in> shuffles (z # xs) ys"
by (cases ys) auto

-lemma Cons_in_shuffle_rightI: "zs \<in> shuffle xs ys \<Longrightarrow> z # zs \<in> shuffle xs (z # ys)"
+lemma Cons_in_shuffles_rightI: "zs \<in> shuffles xs ys \<Longrightarrow> z # zs \<in> shuffles xs (z # ys)"
by (cases xs) auto

-lemma finite_shuffle [simp, intro]: "finite (shuffle xs ys)"
-  by (induction xs ys rule: shuffle.induct) simp_all
-
-lemma length_shuffle: "zs \<in> shuffle xs ys \<Longrightarrow> length zs = length xs + length ys"
-  by (induction xs ys arbitrary: zs rule: shuffle.induct) auto
-
-lemma set_shuffle: "zs \<in> shuffle xs ys \<Longrightarrow> set zs = set xs \<union> set ys"
-  by (induction xs ys arbitrary: zs rule: shuffle.induct) auto
-
-lemma distinct_disjoint_shuffle:
-  assumes "distinct xs" "distinct ys" "set xs \<inter> set ys = {}" "zs \<in> shuffle xs ys"
+lemma finite_shuffles [simp, intro]: "finite (shuffles xs ys)"
+  by (induction xs ys rule: shuffles.induct) simp_all
+
+lemma length_shuffles: "zs \<in> shuffles xs ys \<Longrightarrow> length zs = length xs + length ys"
+  by (induction xs ys arbitrary: zs rule: shuffles.induct) auto
+
+lemma set_shuffles: "zs \<in> shuffles xs ys \<Longrightarrow> set zs = set xs \<union> set ys"
+  by (induction xs ys arbitrary: zs rule: shuffles.induct) auto
+
+lemma distinct_disjoint_shuffles:
+  assumes "distinct xs" "distinct ys" "set xs \<inter> set ys = {}" "zs \<in> shuffles xs ys"
shows   "distinct zs"
using assms
-proof (induction xs ys arbitrary: zs rule: shuffle.induct)
+proof (induction xs ys arbitrary: zs rule: shuffles.induct)
case (3 x xs y ys)
show ?case
proof (cases zs)
case (Cons z zs')
-    with "3.prems" and "3.IH"[of zs'] show ?thesis by (force dest: set_shuffle)
+    with "3.prems" and "3.IH"[of zs'] show ?thesis by (force dest: set_shuffles)
qed simp_all
qed simp_all

-lemma Cons_shuffle_subset1: "(#) x ` shuffle xs ys \<subseteq> shuffle (x # xs) ys"
+lemma Cons_shuffles_subset1: "(#) x ` shuffles xs ys \<subseteq> shuffles (x # xs) ys"
by (cases ys) auto

-lemma Cons_shuffle_subset2: "(#) y ` shuffle xs ys \<subseteq> shuffle xs (y # ys)"
+lemma Cons_shuffles_subset2: "(#) y ` shuffles xs ys \<subseteq> shuffles xs (y # ys)"
by (cases xs) auto

-lemma filter_shuffle:
-  "filter P ` shuffle xs ys = shuffle (filter P xs) (filter P ys)"
+lemma filter_shuffles:
+  "filter P ` shuffles xs ys = shuffles (filter P xs) (filter P ys)"
proof -
have *: "filter P ` (#) x ` A = (if P x then (#) x ` filter P ` A else filter P ` A)" for x A
by (auto simp: image_image)
show ?thesis
-  by (induction xs ys rule: shuffle.induct)
+  by (induction xs ys rule: shuffles.induct)
(simp_all split: if_splits add: image_Un * Un_absorb1 Un_absorb2
-           Cons_shuffle_subset1 Cons_shuffle_subset2)
+           Cons_shuffles_subset1 Cons_shuffles_subset2)
qed

-lemma filter_shuffle_disjoint1:
-  assumes "set xs \<inter> set ys = {}" "zs \<in> shuffle xs ys"
+lemma filter_shuffles_disjoint1:
+  assumes "set xs \<inter> set ys = {}" "zs \<in> shuffles xs ys"
shows   "filter (\<lambda>x. x \<in> set xs) zs = xs" (is "filter ?P _ = _")
and   "filter (\<lambda>x. x \<notin> set xs) zs = ys" (is "filter ?Q _ = _")
using assms
proof -
-  from assms have "filter ?P zs \<in> filter ?P ` shuffle xs ys" by blast
-  also have "filter ?P ` shuffle xs ys = shuffle (filter ?P xs) (filter ?P ys)"
-    by (rule filter_shuffle)
+  from assms have "filter ?P zs \<in> filter ?P ` shuffles xs ys" by blast
+  also have "filter ?P ` shuffles xs ys = shuffles (filter ?P xs) (filter ?P ys)"
+    by (rule filter_shuffles)
also have "filter ?P xs = xs" by (rule filter_True) simp_all
also have "filter ?P ys = []" by (rule filter_False) (insert assms(1), auto)
-  also have "shuffle xs [] = {xs}" by simp
+  also have "shuffles xs [] = {xs}" by simp
finally show "filter ?P zs = xs" by simp
next
-  from assms have "filter ?Q zs \<in> filter ?Q ` shuffle xs ys" by blast
-  also have "filter ?Q ` shuffle xs ys = shuffle (filter ?Q xs) (filter ?Q ys)"
-    by (rule filter_shuffle)
+  from assms have "filter ?Q zs \<in> filter ?Q ` shuffles xs ys" by blast
+  also have "filter ?Q ` shuffles xs ys = shuffles (filter ?Q xs) (filter ?Q ys)"
+    by (rule filter_shuffles)
also have "filter ?Q ys = ys" by (rule filter_True) (insert assms(1), auto)
also have "filter ?Q xs = []" by (rule filter_False) (insert assms(1), auto)
-  also have "shuffle [] ys = {ys}" by simp
+  also have "shuffles [] ys = {ys}" by simp
finally show "filter ?Q zs = ys" by simp
qed

-lemma filter_shuffle_disjoint2:
-  assumes "set xs \<inter> set ys = {}" "zs \<in> shuffle xs ys"
+lemma filter_shuffles_disjoint2:
+  assumes "set xs \<inter> set ys = {}" "zs \<in> shuffles xs ys"
shows   "filter (\<lambda>x. x \<in> set ys) zs = ys" "filter (\<lambda>x. x \<notin> set ys) zs = xs"
-  using filter_shuffle_disjoint1[of ys xs zs] assms
-  by (simp_all add: shuffle_commutes Int_commute)
-
-lemma partition_in_shuffle:
-  "xs \<in> shuffle (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
+  using filter_shuffles_disjoint1[of ys xs zs] assms
+  by (simp_all add: shuffles_commutes Int_commute)
+
+lemma partition_in_shuffles:
+  "xs \<in> shuffles (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
proof (induction xs)
case (Cons x xs)
show ?case
proof (cases "P x")
case True
-    hence "x # xs \<in> (#) x ` shuffle (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
+    hence "x # xs \<in> (#) x ` shuffles (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
by (intro imageI Cons.IH)
-    also have "\<dots> \<subseteq> shuffle (filter P (x # xs)) (filter (\<lambda>x. \<not>P x) (x # xs))"
-      by (simp add: True Cons_shuffle_subset1)
+    also have "\<dots> \<subseteq> shuffles (filter P (x # xs)) (filter (\<lambda>x. \<not>P x) (x # xs))"
+      by (simp add: True Cons_shuffles_subset1)
finally show ?thesis .
next
case False
-    hence "x # xs \<in> (#) x ` shuffle (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
+    hence "x # xs \<in> (#) x ` shuffles (filter P xs) (filter (\<lambda>x. \<not>P x) xs)"
by (intro imageI Cons.IH)
-    also have "\<dots> \<subseteq> shuffle (filter P (x # xs)) (filter (\<lambda>x. \<not>P x) (x # xs))"
-      by (simp add: False Cons_shuffle_subset2)
+    also have "\<dots> \<subseteq> shuffles (filter P (x # xs)) (filter (\<lambda>x. \<not>P x) (x # xs))"
+      by (simp add: False Cons_shuffles_subset2)
finally show ?thesis .
qed
qed auto

lemma inv_image_partition:
assumes "\<And>x. x \<in> set xs \<Longrightarrow> P x" "\<And>y. y \<in> set ys \<Longrightarrow> \<not>P y"
-  shows   "partition P -` {(xs, ys)} = shuffle xs ys"
+  shows   "partition P -` {(xs, ys)} = shuffles xs ys"
proof (intro equalityI subsetI)
-  fix zs assume zs: "zs \<in> shuffle xs ys"
-  hence [simp]: "set zs = set xs \<union> set ys" by (rule set_shuffle)
+  fix zs assume zs: "zs \<in> shuffles xs ys"
+  hence [simp]: "set zs = set xs \<union> set ys" by (rule set_shuffles)
from assms have "filter P zs = filter (\<lambda>x. x \<in> set xs) zs"
"filter (\<lambda>x. \<not>P x) zs = filter (\<lambda>x. x \<in> set ys) zs"
by (intro filter_cong refl; force)+
moreover from assms have "set xs \<inter> set ys = {}" by auto
ultimately show "zs \<in> partition P -` {(xs, ys)}" using zs
-    by (simp add: o_def filter_shuffle_disjoint1 filter_shuffle_disjoint2)
+    by (simp add: o_def filter_shuffles_disjoint1 filter_shuffles_disjoint2)
next
fix zs assume "zs \<in> partition P -` {(xs, ys)}"
-  thus "zs \<in> shuffle xs ys" using partition_in_shuffle[of zs] by (auto simp: o_def)
+  thus "zs \<in> shuffles xs ys" using partition_in_shuffles[of zs] by (auto simp: o_def)
qed

@@ -7346,22 +7346,22 @@
apply (erule_tac xs=x in list_all2_induct, simp, simp add: rel_fun_def)
done

-lemma shuffle_transfer [transfer_rule]:
-  "(list_all2 A ===> list_all2 A ===> rel_set (list_all2 A)) shuffle shuffle"
+lemma shuffles_transfer [transfer_rule]:
+  "(list_all2 A ===> list_all2 A ===> rel_set (list_all2 A)) shuffles shuffles"
proof (intro rel_funI, goal_cases)
case (1 xs xs' ys ys')
thus ?case
-  proof (induction xs ys arbitrary: xs' ys' rule: shuffle.induct)
+  proof (induction xs ys arbitrary: xs' ys' rule: shuffles.induct)
case (3 x xs y ys xs' ys')
from "3.prems" obtain x' xs'' where xs': "xs' = x' # xs''" by (cases xs') auto
from "3.prems" obtain y' ys'' where ys': "ys' = y' # ys''" by (cases ys') auto
have [transfer_rule]: "A x x'" "A y y'" "list_all2 A xs xs''" "list_all2 A ys ys''"
using "3.prems" by (simp_all add: xs' ys')
-    have [transfer_rule]: "rel_set (list_all2 A) (shuffle xs (y # ys)) (shuffle xs'' ys')" and
-         [transfer_rule]: "rel_set (list_all2 A) (shuffle (x # xs) ys) (shuffle xs' ys'')"
+    have [transfer_rule]: "rel_set (list_all2 A) (shuffles xs (y # ys)) (shuffles xs'' ys')" and
+         [transfer_rule]: "rel_set (list_all2 A) (shuffles (x # xs) ys) (shuffles xs' ys'')"
using "3.prems" by (auto intro!: "3.IH" simp: xs' ys')
-    have "rel_set (list_all2 A) ((#) x ` shuffle xs (y # ys) \<union> (#) y ` shuffle (x # xs) ys)
-               ((#) x' ` shuffle xs'' ys' \<union> (#) y' ` shuffle xs' ys'')" by transfer_prover
+    have "rel_set (list_all2 A) ((#) x ` shuffles xs (y # ys) \<union> (#) y ` shuffles (x # xs) ys)
+               ((#) x' ` shuffles xs'' ys' \<union> (#) y' ` shuffles xs' ys'')" by transfer_prover
thus ?case by (simp add: xs' ys')
qed (auto simp: rel_set_def)
qed```
```--- a/src/HOL/Probability/Random_Permutations.thy	Tue Oct 02 21:37:26 2018 +0200
+++ b/src/HOL/Probability/Random_Permutations.thy	Wed Oct 03 09:46:42 2018 +0200
@@ -204,13 +204,13 @@
have "pmf ?lhs (xs, ys) =
real (card (permutations_of_set A \<inter> partition P -` {(xs, ys)})) / fact (card A)"
using assms by (auto simp: pmf_map measure_pmf_of_set)
-    also have "partition P -` {(xs, ys)} = shuffle xs ys"
+    also have "partition P -` {(xs, ys)} = shuffles xs ys"
using True by (intro inv_image_partition) (auto simp: permutations_of_set_def)
-    also have "permutations_of_set A \<inter> shuffle xs ys = shuffle xs ys"
-      using True distinct_disjoint_shuffle[of xs ys]
-      by (auto simp: permutations_of_set_def dest: set_shuffle)
-    also have "card (shuffle xs ys) = length xs + length ys choose length xs"
-      using True by (intro card_disjoint_shuffle) (auto simp: permutations_of_set_def)
+    also have "permutations_of_set A \<inter> shuffles xs ys = shuffles xs ys"
+      using True distinct_disjoint_shuffles[of xs ys]
+      by (auto simp: permutations_of_set_def dest: set_shuffles)
+    also have "card (shuffles xs ys) = length xs + length ys choose length xs"
+      using True by (intro card_disjoint_shuffles) (auto simp: permutations_of_set_def)
also have "length xs + length ys = card A" by (simp add: card_eq)
also have "real (card A choose length xs) = fact (card A) / (fact ?n1 * fact (card A - ?n1))"
by (subst binomial_fact) (auto intro!: card_mono assms)```