--- a/src/HOL/Big_Operators.thy Sat Mar 23 17:11:06 2013 +0100
+++ b/src/HOL/Big_Operators.thy Sat Mar 23 20:50:39 2013 +0100
@@ -6,7 +6,7 @@
header {* Big operators and finite (non-empty) sets *}
theory Big_Operators
-imports Finite_Set Metis
+imports Finite_Set Option Metis
begin
subsection {* Generic monoid operation over a set *}
@@ -14,46 +14,223 @@
no_notation times (infixl "*" 70)
no_notation Groups.one ("1")
-locale comm_monoid_big = comm_monoid +
- fixes F :: "('b \<Rightarrow> 'a) \<Rightarrow> 'b set \<Rightarrow> 'a"
- assumes F_eq: "F g A = (if finite A then fold_image (op *) g 1 A else 1)"
+locale comm_monoid_set = comm_monoid
+begin
-sublocale comm_monoid_big < folding_image proof
-qed (simp add: F_eq)
-
-context comm_monoid_big
-begin
+definition F :: "('b \<Rightarrow> 'a) \<Rightarrow> 'b set \<Rightarrow> 'a"
+where
+ eq_fold: "F g A = Finite_Set.fold (f \<circ> g) 1 A"
lemma infinite [simp]:
"\<not> finite A \<Longrightarrow> F g A = 1"
- by (simp add: F_eq)
+ by (simp add: eq_fold)
+
+lemma empty [simp]:
+ "F g {} = 1"
+ by (simp add: eq_fold)
+
+lemma insert [simp]:
+ assumes "finite A" and "x \<notin> A"
+ shows "F g (insert x A) = g x * F g A"
+proof -
+ interpret comp_fun_commute f
+ by default (simp add: fun_eq_iff left_commute)
+ interpret comp_fun_commute "f \<circ> g"
+ by (rule comp_comp_fun_commute)
+ from assms show ?thesis by (simp add: eq_fold)
+qed
+
+lemma remove:
+ assumes "finite A" and "x \<in> A"
+ shows "F g A = g x * F g (A - {x})"
+proof -
+ from `x \<in> A` obtain B where A: "A = insert x B" and "x \<notin> B"
+ by (auto dest: mk_disjoint_insert)
+ moreover from `finite A` this have "finite B" by simp
+ ultimately show ?thesis by simp
+qed
+
+lemma insert_remove:
+ assumes "finite A"
+ shows "F g (insert x A) = g x * F g (A - {x})"
+ using assms by (cases "x \<in> A") (simp_all add: remove insert_absorb)
+
+lemma neutral:
+ assumes "\<forall>x\<in>A. g x = 1"
+ shows "F g A = 1"
+proof (cases "finite A")
+ case True from `finite A` assms show ?thesis by (induct A) simp_all
+next
+ case False then show ?thesis by simp
+qed
-lemma F_cong:
- assumes "A = B" "\<And>x. x \<in> B \<Longrightarrow> h x = g x"
- shows "F h A = F g B"
-proof cases
- assume "finite A"
- with assms show ?thesis unfolding `A = B` by (simp cong: cong)
+lemma neutral_const [simp]:
+ "F (\<lambda>_. 1) A = 1"
+ by (simp add: neutral)
+
+lemma union_inter:
+ assumes "finite A" and "finite B"
+ shows "F g (A \<union> B) * F g (A \<inter> B) = F g A * F g B"
+ -- {* The reversed orientation looks more natural, but LOOPS as a simprule! *}
+using assms proof (induct A)
+ case empty then show ?case by simp
next
- assume "\<not> finite A"
- then show ?thesis unfolding `A = B` by simp
+ case (insert x A) then show ?case
+ by (auto simp add: insert_absorb Int_insert_left commute [of _ "g x"] assoc left_commute)
+qed
+
+corollary union_inter_neutral:
+ assumes "finite A" and "finite B"
+ and I0: "\<forall>x \<in> A \<inter> B. g x = 1"
+ shows "F g (A \<union> B) = F g A * F g B"
+ using assms by (simp add: union_inter [symmetric] neutral)
+
+corollary union_disjoint:
+ assumes "finite A" and "finite B"
+ assumes "A \<inter> B = {}"
+ shows "F g (A \<union> B) = F g A * F g B"
+ using assms by (simp add: union_inter_neutral)
+
+lemma subset_diff:
+ "B \<subseteq> A \<Longrightarrow> finite A \<Longrightarrow> F g A = F g (A - B) * F g B"
+ by (metis Diff_partition union_disjoint Diff_disjoint finite_Un inf_commute sup_commute)
+
+lemma reindex:
+ assumes "inj_on h A"
+ shows "F g (h ` A) = F (g \<circ> h) A"
+proof (cases "finite A")
+ case True
+ interpret comp_fun_commute f
+ by default (simp add: fun_eq_iff left_commute)
+ interpret comp_fun_commute "f \<circ> g"
+ by (rule comp_comp_fun_commute)
+ from assms `finite A` show ?thesis by (simp add: eq_fold fold_image comp_assoc)
+next
+ case False with assms have "\<not> finite (h ` A)" by (blast dest: finite_imageD)
+ with False show ?thesis by simp
qed
-lemma strong_F_cong [cong]:
- "\<lbrakk> A = B; !!x. x:B =simp=> g x = h x \<rbrakk>
- \<Longrightarrow> F (%x. g x) A = F (%x. h x) B"
-by (rule F_cong) (simp_all add: simp_implies_def)
+lemma cong:
+ assumes "A = B"
+ assumes g_h: "\<And>x. x \<in> B \<Longrightarrow> g x = h x"
+ shows "F g A = F h B"
+proof (cases "finite A")
+ case True
+ then have "\<And>C. C \<subseteq> A \<longrightarrow> (\<forall>x\<in>C. g x = h x) \<longrightarrow> F g C = F h C"
+ proof induct
+ case empty then show ?case by simp
+ next
+ case (insert x F) then show ?case apply -
+ apply (simp add: subset_insert_iff, clarify)
+ apply (subgoal_tac "finite C")
+ prefer 2 apply (blast dest: finite_subset [rotated])
+ apply (subgoal_tac "C = insert x (C - {x})")
+ prefer 2 apply blast
+ apply (erule ssubst)
+ apply (simp add: Ball_def del: insert_Diff_single)
+ done
+ qed
+ with `A = B` g_h show ?thesis by simp
+next
+ case False
+ with `A = B` show ?thesis by simp
+qed
-lemma F_neutral[simp]: "F (%i. 1) A = 1"
-by (cases "finite A") (simp_all add: neutral)
+lemma strong_cong [cong]:
+ assumes "A = B" "\<And>x. x \<in> B =simp=> g x = h x"
+ shows "F (\<lambda>x. g x) A = F (\<lambda>x. h x) B"
+ by (rule cong) (insert assms, simp_all add: simp_implies_def)
+
+lemma UNION_disjoint:
+ assumes "finite I" and "\<forall>i\<in>I. finite (A i)"
+ and "\<forall>i\<in>I. \<forall>j\<in>I. i \<noteq> j \<longrightarrow> A i \<inter> A j = {}"
+ shows "F g (UNION I A) = F (\<lambda>x. F g (A x)) I"
+apply (insert assms)
+apply (induct rule: finite_induct)
+apply simp
+apply atomize
+apply (subgoal_tac "\<forall>i\<in>Fa. x \<noteq> i")
+ prefer 2 apply blast
+apply (subgoal_tac "A x Int UNION Fa A = {}")
+ prefer 2 apply blast
+apply (simp add: union_disjoint)
+done
+
+lemma Union_disjoint:
+ assumes "\<forall>A\<in>C. finite A" "\<forall>A\<in>C. \<forall>B\<in>C. A \<noteq> B \<longrightarrow> A \<inter> B = {}"
+ shows "F g (Union C) = F (F g) C"
+proof cases
+ assume "finite C"
+ from UNION_disjoint [OF this assms]
+ show ?thesis
+ by (simp add: SUP_def)
+qed (auto dest: finite_UnionD intro: infinite)
-lemma F_neutral': "ALL a:A. g a = 1 \<Longrightarrow> F g A = 1"
-by simp
+lemma distrib:
+ "F (\<lambda>x. g x * h x) A = F g A * F h A"
+proof (cases "finite A")
+ case False then show ?thesis by simp
+next
+ case True then show ?thesis by (rule finite_induct) (simp_all add: assoc commute left_commute)
+qed
+
+lemma Sigma:
+ "finite A \<Longrightarrow> \<forall>x\<in>A. finite (B x) \<Longrightarrow> F (\<lambda>x. F (g x) (B x)) A = F (split g) (SIGMA x:A. B x)"
+apply (subst Sigma_def)
+apply (subst UNION_disjoint, assumption, simp)
+ apply blast
+apply (rule cong)
+apply rule
+apply (simp add: fun_eq_iff)
+apply (subst UNION_disjoint, simp, simp)
+ apply blast
+apply (simp add: comp_def)
+done
+
+lemma related:
+ assumes Re: "R 1 1"
+ and Rop: "\<forall>x1 y1 x2 y2. R x1 x2 \<and> R y1 y2 \<longrightarrow> R (x1 * y1) (x2 * y2)"
+ and fS: "finite S" and Rfg: "\<forall>x\<in>S. R (h x) (g x)"
+ shows "R (F h S) (F g S)"
+ using fS by (rule finite_subset_induct) (insert assms, auto)
-lemma F_subset_diff: "\<lbrakk> B \<subseteq> A; finite A \<rbrakk> \<Longrightarrow> F g A = F g (A - B) * F g B"
-by (metis Diff_partition union_disjoint Diff_disjoint finite_Un inf_commute sup_commute)
+lemma eq_general:
+ assumes h: "\<forall>y\<in>S'. \<exists>!x. x \<in> S \<and> h x = y"
+ and f12: "\<forall>x\<in>S. h x \<in> S' \<and> f2 (h x) = f1 x"
+ shows "F f1 S = F f2 S'"
+proof-
+ from h f12 have hS: "h ` S = S'" by blast
+ {fix x y assume H: "x \<in> S" "y \<in> S" "h x = h y"
+ from f12 h H have "x = y" by auto }
+ hence hinj: "inj_on h S" unfolding inj_on_def Ex1_def by blast
+ from f12 have th: "\<And>x. x \<in> S \<Longrightarrow> (f2 \<circ> h) x = f1 x" by auto
+ from hS have "F f2 S' = F f2 (h ` S)" by simp
+ also have "\<dots> = F (f2 o h) S" using reindex [OF hinj, of f2] .
+ also have "\<dots> = F f1 S " using th cong [of _ _ "f2 o h" f1]
+ by blast
+ finally show ?thesis ..
+qed
-lemma F_mono_neutral_cong_left:
+lemma eq_general_reverses:
+ assumes kh: "\<And>y. y \<in> T \<Longrightarrow> k y \<in> S \<and> h (k y) = y"
+ and hk: "\<And>x. x \<in> S \<Longrightarrow> h x \<in> T \<and> k (h x) = x \<and> g (h x) = j x"
+ shows "F j S = F g T"
+ (* metis solves it, but not yet available here *)
+ apply (rule eq_general [of T S h g j])
+ apply (rule ballI)
+ apply (frule kh)
+ apply (rule ex1I[])
+ apply blast
+ apply clarsimp
+ apply (drule hk) apply simp
+ apply (rule sym)
+ apply (erule conjunct1[OF conjunct2[OF hk]])
+ apply (rule ballI)
+ apply (drule hk)
+ apply blast
+ done
+
+lemma mono_neutral_cong_left:
assumes "finite T" and "S \<subseteq> T" and "\<forall>i \<in> T - S. h i = 1"
and "\<And>x. x \<in> S \<Longrightarrow> g x = h x" shows "F g S = F h T"
proof-
@@ -62,25 +239,25 @@
from `finite T` `S \<subseteq> T` have f: "finite S" "finite (T - S)"
by (auto intro: finite_subset)
show ?thesis using assms(4)
- by (simp add: union_disjoint[OF f d, unfolded eq[symmetric]] F_neutral'[OF assms(3)])
+ by (simp add: union_disjoint [OF f d, unfolded eq [symmetric]] neutral [OF assms(3)])
qed
-lemma F_mono_neutral_cong_right:
+lemma mono_neutral_cong_right:
"\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 1; \<And>x. x \<in> S \<Longrightarrow> g x = h x \<rbrakk>
\<Longrightarrow> F g T = F h S"
-by(auto intro!: F_mono_neutral_cong_left[symmetric])
+ by (auto intro!: mono_neutral_cong_left [symmetric])
-lemma F_mono_neutral_left:
+lemma mono_neutral_left:
"\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 1 \<rbrakk> \<Longrightarrow> F g S = F g T"
-by(blast intro: F_mono_neutral_cong_left)
+ by (blast intro: mono_neutral_cong_left)
-lemma F_mono_neutral_right:
+lemma mono_neutral_right:
"\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 1 \<rbrakk> \<Longrightarrow> F g T = F g S"
-by(blast intro!: F_mono_neutral_left[symmetric])
+ by (blast intro!: mono_neutral_left [symmetric])
-lemma F_delta:
+lemma delta:
assumes fS: "finite S"
- shows "F (\<lambda>k. if k=a then b k else 1) S = (if a \<in> S then b a else 1)"
+ shows "F (\<lambda>k. if k = a then b k else 1) S = (if a \<in> S then b a else 1)"
proof-
let ?f = "(\<lambda>k. if k=a then b k else 1)"
{ assume a: "a \<notin> S"
@@ -94,78 +271,71 @@
have dj: "?A \<inter> ?B = {}" by simp
from fS have fAB: "finite ?A" "finite ?B" by auto
have "F ?f S = F ?f ?A * F ?f ?B"
- using union_disjoint[OF fAB dj, of ?f, unfolded eq[symmetric]]
+ using union_disjoint [OF fAB dj, of ?f, unfolded eq [symmetric]]
by simp
- then have ?thesis using a by simp }
+ then have ?thesis using a by simp }
ultimately show ?thesis by blast
qed
-lemma F_delta':
- assumes fS: "finite S" shows
- "F (\<lambda>k. if a = k then b k else 1) S = (if a \<in> S then b a else 1)"
-using F_delta[OF fS, of a b, symmetric] by (auto intro: F_cong)
-
-lemma F_fun_f: "F (%x. g x * h x) A = (F g A * F h A)"
-by (cases "finite A") (simp_all add: distrib)
-
-
-text {* for ad-hoc proofs for @{const fold_image} *}
-lemma comm_monoid_mult: "class.comm_monoid_mult (op *) 1"
-proof qed (auto intro: assoc commute)
-
-lemma F_Un_neutral:
- assumes fS: "finite S" and fT: "finite T"
- and I1: "\<forall>x \<in> S\<inter>T. g x = 1"
- shows "F g (S \<union> T) = F g S * F g T"
-proof -
- interpret comm_monoid_mult "op *" 1 by (fact comm_monoid_mult)
- show ?thesis
- using fS fT
- apply (simp add: F_eq)
- apply (rule fold_image_Un_one)
- using I1 by auto
-qed
+lemma delta':
+ assumes fS: "finite S"
+ shows "F (\<lambda>k. if a = k then b k else 1) S = (if a \<in> S then b a else 1)"
+ using delta [OF fS, of a b, symmetric] by (auto intro: cong)
lemma If_cases:
fixes P :: "'b \<Rightarrow> bool" and g h :: "'b \<Rightarrow> 'a"
assumes fA: "finite A"
shows "F (\<lambda>x. if P x then h x else g x) A =
- F h (A \<inter> {x. P x}) * F g (A \<inter> - {x. P x})"
-proof-
+ F h (A \<inter> {x. P x}) * F g (A \<inter> - {x. P x})"
+proof -
have a: "A = A \<inter> {x. P x} \<union> A \<inter> -{x. P x}"
"(A \<inter> {x. P x}) \<inter> (A \<inter> -{x. P x}) = {}"
by blast+
from fA
have f: "finite (A \<inter> {x. P x})" "finite (A \<inter> -{x. P x})" by auto
let ?g = "\<lambda>x. if P x then h x else g x"
- from union_disjoint[OF f a(2), of ?g] a(1)
+ from union_disjoint [OF f a(2), of ?g] a(1)
show ?thesis
- by (subst (1 2) F_cong) simp_all
+ by (subst (1 2) cong) simp_all
qed
+lemma cartesian_product:
+ "F (\<lambda>x. F (g x) B) A = F (split g) (A <*> B)"
+apply (rule sym)
+apply (cases "finite A")
+ apply (cases "finite B")
+ apply (simp add: Sigma)
+ apply (cases "A={}", simp)
+ apply simp
+apply (auto intro: infinite dest: finite_cartesian_productD2)
+apply (cases "B = {}") apply (auto intro: infinite dest: finite_cartesian_productD1)
+done
+
end
-text {* for ad-hoc proofs for @{const fold_image} *}
-
-lemma (in comm_monoid_add) comm_monoid_mult:
- "class.comm_monoid_mult (op +) 0"
-proof qed (auto intro: add_assoc add_commute)
-
notation times (infixl "*" 70)
notation Groups.one ("1")
subsection {* Generalized summation over a set *}
-definition (in comm_monoid_add) setsum :: "('b \<Rightarrow> 'a) => 'b set => 'a" where
- "setsum f A = (if finite A then fold_image (op +) f 0 A else 0)"
+definition (in comm_monoid_add) setsum :: "('b \<Rightarrow> 'a) \<Rightarrow> 'b set \<Rightarrow> 'a"
+where
+ "setsum = comm_monoid_set.F plus 0"
-sublocale comm_monoid_add < setsum!: comm_monoid_big "op +" 0 setsum proof
-qed (fact setsum_def)
+sublocale comm_monoid_add < setsum!: comm_monoid_set plus 0
+where
+ "setsum.F = setsum"
+proof -
+ show "comm_monoid_set plus 0" ..
+ then interpret setsum!: comm_monoid_set plus 0 .
+ show "setsum.F = setsum"
+ by (simp only: setsum_def)
+qed
abbreviation
- Setsum ("\<Sum>_" [1000] 999) where
- "\<Sum>A == setsum (%x. x) A"
+ Setsum ("\<Sum>_" [1000] 999) where
+ "\<Sum>A \<equiv> setsum (%x. x) A"
text{* Now: lot's of fancy syntax. First, @{term "setsum (%x. e) A"} is
written @{text"\<Sum>x\<in>A. e"}. *}
@@ -211,48 +381,32 @@
in [(@{const_syntax setsum}, setsum_tr')] end
*}
-lemma setsum_empty:
- "setsum f {} = 0"
- by (fact setsum.empty)
+text {* TODO These are candidates for generalization *}
-lemma setsum_insert:
- "finite F ==> a \<notin> F ==> setsum f (insert a F) = f a + setsum f F"
- by (fact setsum.insert)
-
-lemma setsum_infinite:
- "~ finite A ==> setsum f A = 0"
- by (fact setsum.infinite)
+context comm_monoid_add
+begin
-lemma (in comm_monoid_add) setsum_reindex:
- assumes "inj_on f B" shows "setsum h (f ` B) = setsum (h \<circ> f) B"
-proof -
- interpret comm_monoid_mult "op +" 0 by (fact comm_monoid_mult)
- from assms show ?thesis by (auto simp add: setsum_def fold_image_reindex o_def dest!:finite_imageD)
-qed
-
-lemma setsum_reindex_id:
+lemma setsum_reindex_id:
"inj_on f B ==> setsum f B = setsum id (f ` B)"
-by (simp add: setsum_reindex)
+ by (simp add: setsum.reindex)
-lemma setsum_reindex_nonzero:
+lemma setsum_reindex_nonzero:
assumes fS: "finite S"
- and nz: "\<And> x y. x \<in> S \<Longrightarrow> y \<in> S \<Longrightarrow> x \<noteq> y \<Longrightarrow> f x = f y \<Longrightarrow> h (f x) = 0"
- shows "setsum h (f ` S) = setsum (h o f) S"
-using nz
-proof(induct rule: finite_induct[OF fS])
+ and nz: "\<And>x y. x \<in> S \<Longrightarrow> y \<in> S \<Longrightarrow> x \<noteq> y \<Longrightarrow> f x = f y \<Longrightarrow> h (f x) = 0"
+ shows "setsum h (f ` S) = setsum (h \<circ> f) S"
+using nz proof (induct rule: finite_induct [OF fS])
case 1 thus ?case by simp
next
case (2 x F)
{ assume fxF: "f x \<in> f ` F" hence "\<exists>y \<in> F . f y = f x" by auto
then obtain y where y: "y \<in> F" "f x = f y" by auto
from "2.hyps" y have xy: "x \<noteq> y" by auto
-
- from "2.prems"[of x y] "2.hyps" xy y have h0: "h (f x) = 0" by simp
+ from "2.prems" [of x y] "2.hyps" xy y have h0: "h (f x) = 0" by simp
have "setsum h (f ` insert x F) = setsum h (f ` F)" using fxF by auto
also have "\<dots> = setsum (h o f) (insert x F)"
unfolding setsum.insert[OF `finite F` `x\<notin>F`]
using h0
- apply (simp cong del:setsum.strong_F_cong)
+ apply (simp cong del: setsum.strong_cong)
apply (rule "2.hyps"(3))
apply (rule_tac y="y" in "2.prems")
apply simp_all
@@ -264,7 +418,7 @@
using fxF "2.hyps" by simp
also have "\<dots> = setsum (h o f) (insert x F)"
unfolding setsum.insert[OF `finite F` `x\<notin>F`]
- apply (simp cong del:setsum.strong_F_cong)
+ apply (simp cong del: setsum.strong_cong)
apply (rule cong [OF refl [of "op + (h (f x))"]])
apply (rule "2.hyps"(3))
apply (rule_tac y="y" in "2.prems")
@@ -274,59 +428,14 @@
ultimately show ?case by blast
qed
-lemma setsum_cong:
- "A = B ==> (!!x. x:B ==> f x = g x) ==> setsum f A = setsum g B"
-by (fact setsum.F_cong)
-
-lemma strong_setsum_cong:
- "A = B ==> (!!x. x:B =simp=> f x = g x)
- ==> setsum (%x. f x) A = setsum (%x. g x) B"
-by (fact setsum.strong_F_cong)
-
-lemma setsum_cong2: "\<lbrakk>\<And>x. x \<in> A \<Longrightarrow> f x = g x\<rbrakk> \<Longrightarrow> setsum f A = setsum g A"
-by (auto intro: setsum_cong)
+lemma setsum_cong2:
+ "(\<And>x. x \<in> A \<Longrightarrow> f x = g x) \<Longrightarrow> setsum f A = setsum g A"
+ by (auto intro: setsum.cong)
lemma setsum_reindex_cong:
"[|inj_on f A; B = f ` A; !!a. a:A \<Longrightarrow> g a = h (f a)|]
==> setsum h B = setsum g A"
-by (simp add: setsum_reindex)
-
-lemmas setsum_0 = setsum.F_neutral
-lemmas setsum_0' = setsum.F_neutral'
-
-lemma setsum_Un_Int: "finite A ==> finite B ==>
- setsum g (A Un B) + setsum g (A Int B) = setsum g A + setsum g B"
- -- {* The reversed orientation looks more natural, but LOOPS as a simprule! *}
-by (fact setsum.union_inter)
-
-lemma setsum_Un_disjoint: "finite A ==> finite B
- ==> A Int B = {} ==> setsum g (A Un B) = setsum g A + setsum g B"
-by (fact setsum.union_disjoint)
-
-lemma setsum_subset_diff: "\<lbrakk> B \<subseteq> A; finite A \<rbrakk> \<Longrightarrow>
- setsum f A = setsum f (A - B) + setsum f B"
-by(fact setsum.F_subset_diff)
-
-lemma setsum_mono_zero_left:
- "\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. f i = 0 \<rbrakk> \<Longrightarrow> setsum f S = setsum f T"
-by(fact setsum.F_mono_neutral_left)
-
-lemmas setsum_mono_zero_right = setsum.F_mono_neutral_right
-
-lemma setsum_mono_zero_cong_left:
- "\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 0; \<And>x. x \<in> S \<Longrightarrow> f x = g x \<rbrakk>
- \<Longrightarrow> setsum f S = setsum g T"
-by(fact setsum.F_mono_neutral_cong_left)
-
-lemmas setsum_mono_zero_cong_right = setsum.F_mono_neutral_cong_right
-
-lemma setsum_delta: "finite S \<Longrightarrow>
- setsum (\<lambda>k. if k=a then b k else 0) S = (if a \<in> S then b a else 0)"
-by(fact setsum.F_delta)
-
-lemma setsum_delta': "finite S \<Longrightarrow>
- setsum (\<lambda>k. if a = k then b k else 0) S = (if a\<in> S then b a else 0)"
-by(fact setsum.F_delta')
+ by (simp add: setsum.reindex)
lemma setsum_restrict_set:
assumes fA: "finite A"
@@ -335,70 +444,20 @@
from fA have fab: "finite (A \<inter> B)" by auto
have aba: "A \<inter> B \<subseteq> A" by blast
let ?g = "\<lambda>x. if x \<in> A\<inter>B then f x else 0"
- from setsum_mono_zero_left[OF fA aba, of ?g]
+ from setsum.mono_neutral_left [OF fA aba, of ?g]
show ?thesis by simp
qed
-lemma setsum_cases:
- assumes fA: "finite A"
- shows "setsum (\<lambda>x. if P x then f x else g x) A =
- setsum f (A \<inter> {x. P x}) + setsum g (A \<inter> - {x. P x})"
- using setsum.If_cases[OF fA] .
-
-(*But we can't get rid of finite I. If infinite, although the rhs is 0,
- the lhs need not be, since UNION I A could still be finite.*)
-lemma (in comm_monoid_add) setsum_UN_disjoint:
- assumes "finite I" and "ALL i:I. finite (A i)"
- and "ALL i:I. ALL j:I. i \<noteq> j --> A i Int A j = {}"
- shows "setsum f (UNION I A) = (\<Sum>i\<in>I. setsum f (A i))"
-proof -
- interpret comm_monoid_mult "op +" 0 by (fact comm_monoid_mult)
- from assms show ?thesis by (simp add: setsum_def fold_image_UN_disjoint)
-qed
-
-text{*No need to assume that @{term C} is finite. If infinite, the rhs is
-directly 0, and @{term "Union C"} is also infinite, hence the lhs is also 0.*}
lemma setsum_Union_disjoint:
assumes "\<forall>A\<in>C. finite A" "\<forall>A\<in>C. \<forall>B\<in>C. A \<noteq> B \<longrightarrow> A Int B = {}"
shows "setsum f (Union C) = setsum (setsum f) C"
-proof cases
- assume "finite C"
- from setsum_UN_disjoint[OF this assms]
- show ?thesis
- by (simp add: SUP_def)
-qed (force dest: finite_UnionD simp add: setsum_def)
-
-(*But we can't get rid of finite A. If infinite, although the lhs is 0,
- the rhs need not be, since SIGMA A B could still be finite.*)
-lemma (in comm_monoid_add) setsum_Sigma:
- assumes "finite A" and "ALL x:A. finite (B x)"
- shows "(\<Sum>x\<in>A. (\<Sum>y\<in>B x. f x y)) = (\<Sum>(x,y)\<in>(SIGMA x:A. B x). f x y)"
-proof -
- interpret comm_monoid_mult "op +" 0 by (fact comm_monoid_mult)
- from assms show ?thesis by (simp add: setsum_def fold_image_Sigma split_def)
-qed
+ using assms by (fact setsum.Union_disjoint)
-text{*Here we can eliminate the finiteness assumptions, by cases.*}
-lemma setsum_cartesian_product:
- "(\<Sum>x\<in>A. (\<Sum>y\<in>B. f x y)) = (\<Sum>(x,y) \<in> A <*> B. f x y)"
-apply (cases "finite A")
- apply (cases "finite B")
- apply (simp add: setsum_Sigma)
- apply (cases "A={}", simp)
- apply (simp)
-apply (auto simp add: setsum_def
- dest: finite_cartesian_productD1 finite_cartesian_productD2)
-done
+lemma setsum_cartesian_product:
+ "(\<Sum>x\<in>A. (\<Sum>y\<in>B. f x y)) = (\<Sum>(x,y) \<in> A <*> B. f x y)"
+ by (fact setsum.cartesian_product)
-lemma setsum_addf: "setsum (%x. f x + g x) A = (setsum f A + setsum g A)"
-by (fact setsum.F_fun_f)
-
-lemma setsum_Un_zero:
- "\<lbrakk> finite S; finite T; \<forall>x \<in> S\<inter>T. f x = 0 \<rbrakk> \<Longrightarrow>
- setsum f (S \<union> T) = setsum f S + setsum f T"
-by(fact setsum.F_Un_neutral)
-
-lemma setsum_UNION_zero:
+lemma setsum_UNION_zero:
assumes fS: "finite S" and fSS: "\<forall>T \<in> S. finite T"
and f0: "\<And>T1 T2 x. T1\<in>S \<Longrightarrow> T2\<in>S \<Longrightarrow> T1 \<noteq> T2 \<Longrightarrow> x \<in> T1 \<Longrightarrow> x \<in> T2 \<Longrightarrow> f x = 0"
shows "setsum f (\<Union>S) = setsum (\<lambda>T. setsum f T) S"
@@ -412,36 +471,145 @@
from fTF have fUF: "finite (\<Union>F)" by auto
from "2.prems" TF fTF
show ?case
- by (auto simp add: H[symmetric] intro: setsum_Un_zero[OF fTF(1) fUF, of f])
+ by (auto simp add: H [symmetric] intro: setsum.union_inter_neutral [OF fTF(1) fUF, of f])
+qed
+
+text {* Commuting outer and inner summation *}
+
+lemma setsum_commute:
+ "(\<Sum>i\<in>A. \<Sum>j\<in>B. f i j) = (\<Sum>j\<in>B. \<Sum>i\<in>A. f i j)"
+proof (simp add: setsum_cartesian_product)
+ have "(\<Sum>(x,y) \<in> A <*> B. f x y) =
+ (\<Sum>(y,x) \<in> (%(i, j). (j, i)) ` (A \<times> B). f x y)"
+ (is "?s = _")
+ apply (simp add: setsum.reindex [where h = "%(i, j). (j, i)"] swap_inj_on)
+ apply (simp add: split_def)
+ done
+ also have "... = (\<Sum>(y,x)\<in>B \<times> A. f x y)"
+ (is "_ = ?t")
+ apply (simp add: swap_product)
+ done
+ finally show "?s = ?t" .
+qed
+
+lemma setsum_Plus:
+ fixes A :: "'a set" and B :: "'b set"
+ assumes fin: "finite A" "finite B"
+ shows "setsum f (A <+> B) = setsum (f \<circ> Inl) A + setsum (f \<circ> Inr) B"
+proof -
+ have "A <+> B = Inl ` A \<union> Inr ` B" by auto
+ moreover from fin have "finite (Inl ` A :: ('a + 'b) set)" "finite (Inr ` B :: ('a + 'b) set)"
+ by auto
+ moreover have "Inl ` A \<inter> Inr ` B = ({} :: ('a + 'b) set)" by auto
+ moreover have "inj_on (Inl :: 'a \<Rightarrow> 'a + 'b) A" "inj_on (Inr :: 'b \<Rightarrow> 'a + 'b) B" by(auto intro: inj_onI)
+ ultimately show ?thesis using fin by(simp add: setsum.union_disjoint setsum.reindex)
qed
+end
+
+text {* TODO These are legacy *}
+
+lemma setsum_empty:
+ "setsum f {} = 0"
+ by (fact setsum.empty)
+
+lemma setsum_insert:
+ "finite F ==> a \<notin> F ==> setsum f (insert a F) = f a + setsum f F"
+ by (fact setsum.insert)
+
+lemma setsum_infinite:
+ "~ finite A ==> setsum f A = 0"
+ by (fact setsum.infinite)
+
+lemma setsum_reindex:
+ "inj_on f B \<Longrightarrow> setsum h (f ` B) = setsum (h \<circ> f) B"
+ by (fact setsum.reindex)
+
+lemma setsum_cong:
+ "A = B ==> (!!x. x:B ==> f x = g x) ==> setsum f A = setsum g B"
+ by (fact setsum.cong)
+
+lemma strong_setsum_cong:
+ "A = B ==> (!!x. x:B =simp=> f x = g x)
+ ==> setsum (%x. f x) A = setsum (%x. g x) B"
+ by (fact setsum.strong_cong)
+
+lemmas setsum_0 = setsum.neutral_const
+lemmas setsum_0' = setsum.neutral
+
+lemma setsum_Un_Int: "finite A ==> finite B ==>
+ setsum g (A Un B) + setsum g (A Int B) = setsum g A + setsum g B"
+ -- {* The reversed orientation looks more natural, but LOOPS as a simprule! *}
+ by (fact setsum.union_inter)
+
+lemma setsum_Un_disjoint: "finite A ==> finite B
+ ==> A Int B = {} ==> setsum g (A Un B) = setsum g A + setsum g B"
+ by (fact setsum.union_disjoint)
+
+lemma setsum_subset_diff: "\<lbrakk> B \<subseteq> A; finite A \<rbrakk> \<Longrightarrow>
+ setsum f A = setsum f (A - B) + setsum f B"
+ by (fact setsum.subset_diff)
+
+lemma setsum_mono_zero_left:
+ "\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. f i = 0 \<rbrakk> \<Longrightarrow> setsum f S = setsum f T"
+ by (fact setsum.mono_neutral_left)
+
+lemmas setsum_mono_zero_right = setsum.mono_neutral_right
+
+lemma setsum_mono_zero_cong_left:
+ "\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 0; \<And>x. x \<in> S \<Longrightarrow> f x = g x \<rbrakk>
+ \<Longrightarrow> setsum f S = setsum g T"
+ by (fact setsum.mono_neutral_cong_left)
+
+lemmas setsum_mono_zero_cong_right = setsum.mono_neutral_cong_right
+
+lemma setsum_delta: "finite S \<Longrightarrow>
+ setsum (\<lambda>k. if k=a then b k else 0) S = (if a \<in> S then b a else 0)"
+ by (fact setsum.delta)
+
+lemma setsum_delta': "finite S \<Longrightarrow>
+ setsum (\<lambda>k. if a = k then b k else 0) S = (if a\<in> S then b a else 0)"
+ by (fact setsum.delta')
+
+lemma setsum_cases:
+ assumes "finite A"
+ shows "setsum (\<lambda>x. if P x then f x else g x) A =
+ setsum f (A \<inter> {x. P x}) + setsum g (A \<inter> - {x. P x})"
+ using assms by (fact setsum.If_cases)
+
+(*But we can't get rid of finite I. If infinite, although the rhs is 0,
+ the lhs need not be, since UNION I A could still be finite.*)
+lemma setsum_UN_disjoint:
+ assumes "finite I" and "ALL i:I. finite (A i)"
+ and "ALL i:I. ALL j:I. i \<noteq> j --> A i Int A j = {}"
+ shows "setsum f (UNION I A) = (\<Sum>i\<in>I. setsum f (A i))"
+ using assms by (fact setsum.UNION_disjoint)
+
+(*But we can't get rid of finite A. If infinite, although the lhs is 0,
+ the rhs need not be, since SIGMA A B could still be finite.*)
+lemma setsum_Sigma:
+ assumes "finite A" and "ALL x:A. finite (B x)"
+ shows "(\<Sum>x\<in>A. (\<Sum>y\<in>B x. f x y)) = (\<Sum>(x,y)\<in>(SIGMA x:A. B x). f x y)"
+ using assms by (fact setsum.Sigma)
+
+lemma setsum_addf: "setsum (%x. f x + g x) A = (setsum f A + setsum g A)"
+ by (fact setsum.distrib)
+
+lemma setsum_Un_zero:
+ "\<lbrakk> finite S; finite T; \<forall>x \<in> S\<inter>T. f x = 0 \<rbrakk> \<Longrightarrow>
+ setsum f (S \<union> T) = setsum f S + setsum f T"
+ by (fact setsum.union_inter_neutral)
+
+lemma setsum_eq_general_reverses:
+ assumes fS: "finite S" and fT: "finite T"
+ and kh: "\<And>y. y \<in> T \<Longrightarrow> k y \<in> S \<and> h (k y) = y"
+ and hk: "\<And>x. x \<in> S \<Longrightarrow> h x \<in> T \<and> k (h x) = x \<and> g (h x) = f x"
+ shows "setsum f S = setsum g T"
+ using kh hk by (fact setsum.eq_general_reverses)
+
subsubsection {* Properties in more restricted classes of structures *}
-lemma setsum_SucD: "setsum f A = Suc n ==> EX a:A. 0 < f a"
-apply (case_tac "finite A")
- prefer 2 apply (simp add: setsum_def)
-apply (erule rev_mp)
-apply (erule finite_induct, auto)
-done
-
-lemma setsum_eq_0_iff [simp]:
- "finite F ==> (setsum f F = 0) = (ALL a:F. f a = (0::nat))"
-by (induct set: finite) auto
-
-lemma setsum_eq_Suc0_iff: "finite A \<Longrightarrow>
- (setsum f A = Suc 0) = (EX a:A. f a = Suc 0 & (ALL b:A. a\<noteq>b \<longrightarrow> f b = 0))"
-apply(erule finite_induct)
-apply (auto simp add:add_is_1)
-done
-
-lemmas setsum_eq_1_iff = setsum_eq_Suc0_iff[simplified One_nat_def[symmetric]]
-
-lemma setsum_Un_nat: "finite A ==> finite B ==>
- (setsum f (A Un B) :: nat) = setsum f A + setsum f B - setsum f (A Int B)"
- -- {* For the natural numbers, we have subtraction. *}
-by (subst setsum_Un_Int [symmetric], auto simp add: algebra_simps)
-
lemma setsum_Un: "finite A ==> finite B ==>
(setsum f (A Un B) :: 'a :: ab_group_add) =
setsum f A + setsum f B - setsum f (A Int B)"
@@ -456,74 +624,11 @@
with assms show ?thesis by simp (subst setsum_Un_disjoint, auto)+
qed
-lemma (in comm_monoid_add) setsum_eq_general_reverses:
- assumes fS: "finite S" and fT: "finite T"
- and kh: "\<And>y. y \<in> T \<Longrightarrow> k y \<in> S \<and> h (k y) = y"
- and hk: "\<And>x. x \<in> S \<Longrightarrow> h x \<in> T \<and> k (h x) = x \<and> g (h x) = f x"
- shows "setsum f S = setsum g T"
-proof -
- interpret comm_monoid_mult "op +" 0 by (fact comm_monoid_mult)
- show ?thesis
- apply (simp add: setsum_def fS fT)
- apply (rule fold_image_eq_general_inverses)
- apply (rule fS)
- apply (erule kh)
- apply (erule hk)
- done
-qed
-
-lemma setsum_diff1_nat: "(setsum f (A - {a}) :: nat) =
- (if a:A then setsum f A - f a else setsum f A)"
-apply (case_tac "finite A")
- prefer 2 apply (simp add: setsum_def)
-apply (erule finite_induct)
- apply (auto simp add: insert_Diff_if)
-apply (drule_tac a = a in mk_disjoint_insert, auto)
-done
-
lemma setsum_diff1: "finite A \<Longrightarrow>
(setsum f (A - {a}) :: ('a::ab_group_add)) =
(if a:A then setsum f A - f a else setsum f A)"
by (erule finite_induct) (auto simp add: insert_Diff_if)
-lemma setsum_diff1'[rule_format]:
- "finite A \<Longrightarrow> a \<in> A \<longrightarrow> (\<Sum> x \<in> A. f x) = f a + (\<Sum> x \<in> (A - {a}). f x)"
-apply (erule finite_induct[where F=A and P="% A. (a \<in> A \<longrightarrow> (\<Sum> x \<in> A. f x) = f a + (\<Sum> x \<in> (A - {a}). f x))"])
-apply (auto simp add: insert_Diff_if add_ac)
-done
-
-lemma setsum_diff1_ring: assumes "finite A" "a \<in> A"
- shows "setsum f (A - {a}) = setsum f A - (f a::'a::ring)"
-unfolding setsum_diff1'[OF assms] by auto
-
-(* By Jeremy Siek: *)
-
-lemma setsum_diff_nat:
-assumes "finite B" and "B \<subseteq> A"
-shows "(setsum f (A - B) :: nat) = (setsum f A) - (setsum f B)"
-using assms
-proof induct
- show "setsum f (A - {}) = (setsum f A) - (setsum f {})" by simp
-next
- fix F x assume finF: "finite F" and xnotinF: "x \<notin> F"
- and xFinA: "insert x F \<subseteq> A"
- and IH: "F \<subseteq> A \<Longrightarrow> setsum f (A - F) = setsum f A - setsum f F"
- from xnotinF xFinA have xinAF: "x \<in> (A - F)" by simp
- from xinAF have A: "setsum f ((A - F) - {x}) = setsum f (A - F) - f x"
- by (simp add: setsum_diff1_nat)
- from xFinA have "F \<subseteq> A" by simp
- with IH have "setsum f (A - F) = setsum f A - setsum f F" by simp
- with A have B: "setsum f ((A - F) - {x}) = setsum f A - setsum f F - f x"
- by simp
- from xnotinF have "A - insert x F = (A - F) - {x}" by auto
- with B have C: "setsum f (A - insert x F) = setsum f A - setsum f F - f x"
- by simp
- from finF xnotinF have "setsum f (insert x F) = setsum f F + f x" by simp
- with C have "setsum f (A - insert x F) = setsum f A - setsum f (insert x F)"
- by simp
- thus "setsum f (A - insert x F) = setsum f A - setsum f (insert x F)" by simp
-qed
-
lemma setsum_diff:
assumes le: "finite A" "B \<subseteq> A"
shows "setsum f (A - B) = setsum f A - ((setsum f B)::('a::ab_group_add))"
@@ -554,9 +659,7 @@
thus ?case using add_mono by fastforce
qed
next
- case False
- thus ?thesis
- by (simp add: setsum_def)
+ case False then show ?thesis by simp
qed
lemma setsum_strict_mono:
@@ -595,7 +698,7 @@
proof (cases "finite A")
case True thus ?thesis by (induct set: finite) auto
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_subtractf:
@@ -604,7 +707,7 @@
proof (cases "finite A")
case True thus ?thesis by (simp add: diff_minus setsum_addf setsum_negf)
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_nonneg:
@@ -620,7 +723,7 @@
with insert show ?case by simp
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_nonpos:
@@ -636,7 +739,7 @@
with insert show ?case by simp
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_nonneg_leq_bound:
@@ -702,7 +805,7 @@
case (insert x A) thus ?case by (simp add: distrib_left)
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_left_distrib:
@@ -716,7 +819,7 @@
case (insert x A) thus ?case by (simp add: distrib_right)
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_divide_distrib:
@@ -730,7 +833,7 @@
case (insert x A) thus ?case by (simp add: add_divide_distrib)
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_abs[iff]:
@@ -746,7 +849,7 @@
thus ?case by (auto intro: abs_triangle_ineq order_trans)
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma setsum_abs_ge_zero[iff]:
@@ -761,7 +864,7 @@
case (insert x A) thus ?case by auto
qed
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
lemma abs_setsum_abs[simp]:
@@ -782,40 +885,18 @@
finally show ?case .
qed
next
- case False thus ?thesis by (simp add: setsum_def)
-qed
-
-lemma setsum_Plus:
- fixes A :: "'a set" and B :: "'b set"
- assumes fin: "finite A" "finite B"
- shows "setsum f (A <+> B) = setsum (f \<circ> Inl) A + setsum (f \<circ> Inr) B"
-proof -
- have "A <+> B = Inl ` A \<union> Inr ` B" by auto
- moreover from fin have "finite (Inl ` A :: ('a + 'b) set)" "finite (Inr ` B :: ('a + 'b) set)"
- by auto
- moreover have "Inl ` A \<inter> Inr ` B = ({} :: ('a + 'b) set)" by auto
- moreover have "inj_on (Inl :: 'a \<Rightarrow> 'a + 'b) A" "inj_on (Inr :: 'b \<Rightarrow> 'a + 'b) B" by(auto intro: inj_onI)
- ultimately show ?thesis using fin by(simp add: setsum_Un_disjoint setsum_reindex)
+ case False thus ?thesis by simp
qed
-
-text {* Commuting outer and inner summation *}
+lemma setsum_diff1'[rule_format]:
+ "finite A \<Longrightarrow> a \<in> A \<longrightarrow> (\<Sum> x \<in> A. f x) = f a + (\<Sum> x \<in> (A - {a}). f x)"
+apply (erule finite_induct[where F=A and P="% A. (a \<in> A \<longrightarrow> (\<Sum> x \<in> A. f x) = f a + (\<Sum> x \<in> (A - {a}). f x))"])
+apply (auto simp add: insert_Diff_if add_ac)
+done
-lemma setsum_commute:
- "(\<Sum>i\<in>A. \<Sum>j\<in>B. f i j) = (\<Sum>j\<in>B. \<Sum>i\<in>A. f i j)"
-proof (simp add: setsum_cartesian_product)
- have "(\<Sum>(x,y) \<in> A <*> B. f x y) =
- (\<Sum>(y,x) \<in> (%(i, j). (j, i)) ` (A \<times> B). f x y)"
- (is "?s = _")
- apply (simp add: setsum_reindex [where f = "%(i, j). (j, i)"] swap_inj_on)
- apply (simp add: split_def)
- done
- also have "... = (\<Sum>(y,x)\<in>B \<times> A. f x y)"
- (is "_ = ?t")
- apply (simp add: swap_product)
- done
- finally show "?s = ?t" .
-qed
+lemma setsum_diff1_ring: assumes "finite A" "a \<in> A"
+ shows "setsum f (A - {a}) = setsum f A - (f a::'a::ring)"
+unfolding setsum_diff1'[OF assms] by auto
lemma setsum_product:
fixes f :: "'a => ('b::semiring_0)"
@@ -829,7 +910,82 @@
by(auto simp: setsum_product setsum_cartesian_product
intro!: setsum_reindex_cong[symmetric])
-lemma setsum_constant [simp]: "(\<Sum>x \<in> A. y) = of_nat(card A) * y"
+lemma setsum_SucD: "setsum f A = Suc n ==> EX a:A. 0 < f a"
+apply (case_tac "finite A")
+ prefer 2 apply simp
+apply (erule rev_mp)
+apply (erule finite_induct, auto)
+done
+
+lemma setsum_eq_0_iff [simp]:
+ "finite F ==> (setsum f F = 0) = (ALL a:F. f a = (0::nat))"
+ by (induct set: finite) auto
+
+lemma setsum_eq_Suc0_iff: "finite A \<Longrightarrow>
+ setsum f A = Suc 0 \<longleftrightarrow> (EX a:A. f a = Suc 0 & (ALL b:A. a\<noteq>b \<longrightarrow> f b = 0))"
+apply(erule finite_induct)
+apply (auto simp add:add_is_1)
+done
+
+lemmas setsum_eq_1_iff = setsum_eq_Suc0_iff[simplified One_nat_def[symmetric]]
+
+lemma setsum_Un_nat: "finite A ==> finite B ==>
+ (setsum f (A Un B) :: nat) = setsum f A + setsum f B - setsum f (A Int B)"
+ -- {* For the natural numbers, we have subtraction. *}
+by (subst setsum_Un_Int [symmetric], auto simp add: algebra_simps)
+
+lemma setsum_diff1_nat: "(setsum f (A - {a}) :: nat) =
+ (if a:A then setsum f A - f a else setsum f A)"
+apply (case_tac "finite A")
+ prefer 2 apply simp
+apply (erule finite_induct)
+ apply (auto simp add: insert_Diff_if)
+apply (drule_tac a = a in mk_disjoint_insert, auto)
+done
+
+lemma setsum_diff_nat:
+assumes "finite B" and "B \<subseteq> A"
+shows "(setsum f (A - B) :: nat) = (setsum f A) - (setsum f B)"
+using assms
+proof induct
+ show "setsum f (A - {}) = (setsum f A) - (setsum f {})" by simp
+next
+ fix F x assume finF: "finite F" and xnotinF: "x \<notin> F"
+ and xFinA: "insert x F \<subseteq> A"
+ and IH: "F \<subseteq> A \<Longrightarrow> setsum f (A - F) = setsum f A - setsum f F"
+ from xnotinF xFinA have xinAF: "x \<in> (A - F)" by simp
+ from xinAF have A: "setsum f ((A - F) - {x}) = setsum f (A - F) - f x"
+ by (simp add: setsum_diff1_nat)
+ from xFinA have "F \<subseteq> A" by simp
+ with IH have "setsum f (A - F) = setsum f A - setsum f F" by simp
+ with A have B: "setsum f ((A - F) - {x}) = setsum f A - setsum f F - f x"
+ by simp
+ from xnotinF have "A - insert x F = (A - F) - {x}" by auto
+ with B have C: "setsum f (A - insert x F) = setsum f A - setsum f F - f x"
+ by simp
+ from finF xnotinF have "setsum f (insert x F) = setsum f F + f x" by simp
+ with C have "setsum f (A - insert x F) = setsum f A - setsum f (insert x F)"
+ by simp
+ thus "setsum f (A - insert x F) = setsum f A - setsum f (insert x F)" by simp
+qed
+
+
+subsubsection {* Cardinality as special case of @{const setsum} *}
+
+lemma card_eq_setsum:
+ "card A = setsum (\<lambda>x. 1) A"
+proof -
+ have "plus \<circ> (\<lambda>_. Suc 0) = (\<lambda>_. Suc)"
+ by (simp add: fun_eq_iff)
+ then have "Finite_Set.fold (plus \<circ> (\<lambda>_. Suc 0)) = Finite_Set.fold (\<lambda>_. Suc)"
+ by (rule arg_cong)
+ then have "Finite_Set.fold (plus \<circ> (\<lambda>_. Suc 0)) 0 A = Finite_Set.fold (\<lambda>_. Suc) 0 A"
+ by (blast intro: fun_cong)
+ then show ?thesis by (simp add: card.eq_fold setsum.eq_fold)
+qed
+
+lemma setsum_constant [simp]:
+ "(\<Sum>x \<in> A. y) = of_nat (card A) * y"
apply (cases "finite A")
apply (erule finite_induct)
apply (auto simp add: algebra_simps)
@@ -837,21 +993,14 @@
lemma setsum_bounded:
assumes le: "\<And>i. i\<in>A \<Longrightarrow> f i \<le> (K::'a::{semiring_1, ordered_ab_semigroup_add})"
- shows "setsum f A \<le> of_nat(card A) * K"
+ shows "setsum f A \<le> of_nat (card A) * K"
proof (cases "finite A")
case True
thus ?thesis using le setsum_mono[where K=A and g = "%x. K"] by simp
next
- case False thus ?thesis by (simp add: setsum_def)
+ case False thus ?thesis by simp
qed
-
-subsubsection {* Cardinality as special case of @{const setsum} *}
-
-lemma card_eq_setsum:
- "card A = setsum (\<lambda>x. 1) A"
- by (simp only: card_def setsum_def)
-
lemma card_UN_disjoint:
assumes "finite I" and "\<forall>i\<in>I. finite (A i)"
and "\<forall>i\<in>I. \<forall>j\<in>I. i \<noteq> j \<longrightarrow> A i \<inter> A j = {}"
@@ -869,17 +1018,6 @@
apply (simp_all add: SUP_def id_def)
done
-text{*The image of a finite set can be expressed using @{term fold_image}.*}
-lemma image_eq_fold_image:
- "finite A ==> f ` A = fold_image (op Un) (%x. {f x}) {} A"
-proof (induct rule: finite_induct)
- case empty then show ?case by simp
-next
- interpret ab_semigroup_mult "op Un"
- proof qed auto
- case insert
- then show ?case by simp
-qed
subsubsection {* Cardinality of products *}
@@ -904,15 +1042,23 @@
subsection {* Generalized product over a set *}
-definition (in comm_monoid_mult) setprod :: "('b \<Rightarrow> 'a) => 'b set => 'a" where
- "setprod f A = (if finite A then fold_image (op *) f 1 A else 1)"
+definition (in comm_monoid_mult) setprod :: "('b \<Rightarrow> 'a) \<Rightarrow> 'b set \<Rightarrow> 'a"
+where
+ "setprod = comm_monoid_set.F times 1"
-sublocale comm_monoid_mult < setprod!: comm_monoid_big "op *" 1 setprod proof
-qed (fact setprod_def)
+sublocale comm_monoid_mult < setprod!: comm_monoid_set times 1
+where
+ "setprod.F = setprod"
+proof -
+ show "comm_monoid_set times 1" ..
+ then interpret setprod!: comm_monoid_set times 1 .
+ show "setprod.F = setprod"
+ by (simp only: setprod_def)
+qed
abbreviation
- Setprod ("\<Prod>_" [1000] 999) where
- "\<Prod>A == setprod (%x. x) A"
+ Setprod ("\<Prod>_" [1000] 999) where
+ "\<Prod>A \<equiv> setprod (\<lambda>x. x) A"
syntax
"_setprod" :: "pttrn => 'a set => 'b => 'b::comm_monoid_mult" ("(3PROD _:_. _)" [0, 51, 10] 10)
@@ -939,6 +1085,55 @@
"PROD x|P. t" => "CONST setprod (%x. t) {x. P}"
"\<Prod>x|P. t" => "CONST setprod (%x. t) {x. P}"
+text {* TODO These are candidates for generalization *}
+
+context comm_monoid_mult
+begin
+
+lemma setprod_reindex_id:
+ "inj_on f B ==> setprod f B = setprod id (f ` B)"
+ by (auto simp add: setprod.reindex)
+
+lemma setprod_reindex_cong:
+ "inj_on f A ==> B = f ` A ==> g = h \<circ> f ==> setprod h B = setprod g A"
+ by (frule setprod.reindex, simp)
+
+lemma strong_setprod_reindex_cong:
+ assumes i: "inj_on f A"
+ and B: "B = f ` A" and eq: "\<And>x. x \<in> A \<Longrightarrow> g x = (h \<circ> f) x"
+ shows "setprod h B = setprod g A"
+proof-
+ have "setprod h B = setprod (h o f) A"
+ by (simp add: B setprod.reindex [OF i, of h])
+ then show ?thesis apply simp
+ apply (rule setprod.cong)
+ apply simp
+ by (simp add: eq)
+qed
+
+lemma setprod_Union_disjoint:
+ assumes "\<forall>A\<in>C. finite A" "\<forall>A\<in>C. \<forall>B\<in>C. A \<noteq> B \<longrightarrow> A Int B = {}"
+ shows "setprod f (Union C) = setprod (setprod f) C"
+ using assms by (fact setprod.Union_disjoint)
+
+text{*Here we can eliminate the finiteness assumptions, by cases.*}
+lemma setprod_cartesian_product:
+ "(\<Prod>x\<in>A. (\<Prod>y\<in> B. f x y)) = (\<Prod>(x,y)\<in>(A <*> B). f x y)"
+ by (fact setprod.cartesian_product)
+
+lemma setprod_Un2:
+ assumes "finite (A \<union> B)"
+ shows "setprod f (A \<union> B) = setprod f (A - B) * setprod f (B - A) * setprod f (A \<inter> B)"
+proof -
+ have "A \<union> B = A - B \<union> (B - A) \<union> A \<inter> B"
+ by auto
+ with assms show ?thesis by simp (subst setprod.union_disjoint, auto)+
+qed
+
+end
+
+text {* TODO These are legacy *}
+
lemma setprod_empty: "setprod f {} = 1"
by (fact setprod.empty)
@@ -950,126 +1145,91 @@
by (fact setprod.infinite)
lemma setprod_reindex:
- "inj_on f B ==> setprod h (f ` B) = setprod (h \<circ> f) B"
-by(auto simp: setprod_def fold_image_reindex o_def dest!:finite_imageD)
-
-lemma setprod_reindex_id: "inj_on f B ==> setprod f B = setprod id (f ` B)"
-by (auto simp add: setprod_reindex)
+ "inj_on f B ==> setprod h (f ` B) = setprod (h \<circ> f) B"
+ by (fact setprod.reindex)
lemma setprod_cong:
"A = B ==> (!!x. x:B ==> f x = g x) ==> setprod f A = setprod g B"
-by(fact setprod.F_cong)
+ by (fact setprod.cong)
lemma strong_setprod_cong:
"A = B ==> (!!x. x:B =simp=> f x = g x) ==> setprod f A = setprod g B"
-by(fact setprod.strong_F_cong)
-
-lemma setprod_reindex_cong: "inj_on f A ==>
- B = f ` A ==> g = h \<circ> f ==> setprod h B = setprod g A"
-by (frule setprod_reindex, simp)
+ by (fact setprod.strong_cong)
-lemma strong_setprod_reindex_cong: assumes i: "inj_on f A"
- and B: "B = f ` A" and eq: "\<And>x. x \<in> A \<Longrightarrow> g x = (h \<circ> f) x"
- shows "setprod h B = setprod g A"
-proof-
- have "setprod h B = setprod (h o f) A"
- by (simp add: B setprod_reindex[OF i, of h])
- then show ?thesis apply simp
- apply (rule setprod_cong)
- apply simp
- by (simp add: eq)
-qed
+lemma setprod_Un_one:
+ "\<lbrakk> finite S; finite T; \<forall>x \<in> S\<inter>T. f x = 1 \<rbrakk>
+ \<Longrightarrow> setprod f (S \<union> T) = setprod f S * setprod f T"
+ by (fact setprod.union_inter_neutral)
-lemma setprod_Un_one: "\<lbrakk> finite S; finite T; \<forall>x \<in> S\<inter>T. f x = 1 \<rbrakk>
- \<Longrightarrow> setprod f (S \<union> T) = setprod f S * setprod f T"
-by(fact setprod.F_Un_neutral)
-
-lemmas setprod_1 = setprod.F_neutral
-lemmas setprod_1' = setprod.F_neutral'
-
+lemmas setprod_1 = setprod.neutral_const
+lemmas setprod_1' = setprod.neutral
lemma setprod_Un_Int: "finite A ==> finite B
==> setprod g (A Un B) * setprod g (A Int B) = setprod g A * setprod g B"
-by (fact setprod.union_inter)
+ by (fact setprod.union_inter)
lemma setprod_Un_disjoint: "finite A ==> finite B
==> A Int B = {} ==> setprod g (A Un B) = setprod g A * setprod g B"
-by (fact setprod.union_disjoint)
+ by (fact setprod.union_disjoint)
lemma setprod_subset_diff: "\<lbrakk> B \<subseteq> A; finite A \<rbrakk> \<Longrightarrow>
setprod f A = setprod f (A - B) * setprod f B"
-by(fact setprod.F_subset_diff)
+ by (fact setprod.subset_diff)
lemma setprod_mono_one_left:
"\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. f i = 1 \<rbrakk> \<Longrightarrow> setprod f S = setprod f T"
-by(fact setprod.F_mono_neutral_left)
+ by (fact setprod.mono_neutral_left)
-lemmas setprod_mono_one_right = setprod.F_mono_neutral_right
+lemmas setprod_mono_one_right = setprod.mono_neutral_right
lemma setprod_mono_one_cong_left:
"\<lbrakk> finite T; S \<subseteq> T; \<forall>i \<in> T - S. g i = 1; \<And>x. x \<in> S \<Longrightarrow> f x = g x \<rbrakk>
\<Longrightarrow> setprod f S = setprod g T"
-by(fact setprod.F_mono_neutral_cong_left)
+ by (fact setprod.mono_neutral_cong_left)
-lemmas setprod_mono_one_cong_right = setprod.F_mono_neutral_cong_right
+lemmas setprod_mono_one_cong_right = setprod.mono_neutral_cong_right
lemma setprod_delta: "finite S \<Longrightarrow>
setprod (\<lambda>k. if k=a then b k else 1) S = (if a \<in> S then b a else 1)"
-by(fact setprod.F_delta)
+ by (fact setprod.delta)
lemma setprod_delta': "finite S \<Longrightarrow>
setprod (\<lambda>k. if a = k then b k else 1) S = (if a\<in> S then b a else 1)"
-by(fact setprod.F_delta')
+ by (fact setprod.delta')
lemma setprod_UN_disjoint:
"finite I ==> (ALL i:I. finite (A i)) ==>
(ALL i:I. ALL j:I. i \<noteq> j --> A i Int A j = {}) ==>
setprod f (UNION I A) = setprod (%i. setprod f (A i)) I"
- by (simp add: setprod_def fold_image_UN_disjoint)
-
-lemma setprod_Union_disjoint:
- assumes "\<forall>A\<in>C. finite A" "\<forall>A\<in>C. \<forall>B\<in>C. A \<noteq> B \<longrightarrow> A Int B = {}"
- shows "setprod f (Union C) = setprod (setprod f) C"
-proof cases
- assume "finite C"
- from setprod_UN_disjoint[OF this assms]
- show ?thesis
- by (simp add: SUP_def)
-qed (force dest: finite_UnionD simp add: setprod_def)
+ by (fact setprod.UNION_disjoint)
lemma setprod_Sigma: "finite A ==> ALL x:A. finite (B x) ==>
(\<Prod>x\<in>A. (\<Prod>y\<in> B x. f x y)) =
(\<Prod>(x,y)\<in>(SIGMA x:A. B x). f x y)"
-by(simp add:setprod_def fold_image_Sigma split_def)
+ by (fact setprod.Sigma)
-text{*Here we can eliminate the finiteness assumptions, by cases.*}
-lemma setprod_cartesian_product:
- "(\<Prod>x\<in>A. (\<Prod>y\<in> B. f x y)) = (\<Prod>(x,y)\<in>(A <*> B). f x y)"
-apply (cases "finite A")
- apply (cases "finite B")
- apply (simp add: setprod_Sigma)
- apply (cases "A={}", simp)
- apply (simp)
-apply (auto simp add: setprod_def
- dest: finite_cartesian_productD1 finite_cartesian_productD2)
-done
-
-lemma setprod_timesf: "setprod (%x. f x * g x) A = (setprod f A * setprod g A)"
-by (fact setprod.F_fun_f)
+lemma setprod_timesf: "setprod (\<lambda>x. f x * g x) A = setprod f A * setprod g A"
+ by (fact setprod.distrib)
subsubsection {* Properties in more restricted classes of structures *}
-lemma setprod_eq_1_iff [simp]:
- "finite F ==> (setprod f F = 1) = (ALL a:F. f a = (1::nat))"
-by (induct set: finite) auto
-
lemma setprod_zero:
"finite A ==> EX x: A. f x = (0::'a::comm_semiring_1) ==> setprod f A = 0"
apply (induct set: finite, force, clarsimp)
apply (erule disjE, auto)
done
+lemma setprod_zero_iff[simp]: "finite A ==>
+ (setprod f A = (0::'a::{comm_semiring_1,no_zero_divisors})) =
+ (EX x: A. f x = 0)"
+by (erule finite_induct, auto simp:no_zero_divisors)
+
+lemma setprod_Un: "finite A ==> finite B ==> (ALL x: A Int B. f x \<noteq> 0) ==>
+ (setprod f (A Un B) :: 'a ::{field})
+ = setprod f A * setprod f B / setprod f (A Int B)"
+by (subst setprod_Un_Int [symmetric], auto)
+
lemma setprod_nonneg [rule_format]:
"(ALL x: A. (0::'a::linordered_semidom) \<le> f x) --> 0 \<le> setprod f A"
by (cases "finite A", induct set: finite, simp_all add: mult_nonneg_nonneg)
@@ -1078,33 +1238,6 @@
--> 0 < setprod f A"
by (cases "finite A", induct set: finite, simp_all add: mult_pos_pos)
-lemma setprod_zero_iff[simp]: "finite A ==>
- (setprod f A = (0::'a::{comm_semiring_1,no_zero_divisors})) =
- (EX x: A. f x = 0)"
-by (erule finite_induct, auto simp:no_zero_divisors)
-
-lemma setprod_pos_nat:
- "finite S ==> (ALL x : S. f x > (0::nat)) ==> setprod f S > 0"
-using setprod_zero_iff by(simp del:neq0_conv add:neq0_conv[symmetric])
-
-lemma setprod_pos_nat_iff[simp]:
- "finite S ==> (setprod f S > 0) = (ALL x : S. f x > (0::nat))"
-using setprod_zero_iff by(simp del:neq0_conv add:neq0_conv[symmetric])
-
-lemma setprod_Un: "finite A ==> finite B ==> (ALL x: A Int B. f x \<noteq> 0) ==>
- (setprod f (A Un B) :: 'a ::{field})
- = setprod f A * setprod f B / setprod f (A Int B)"
-by (subst setprod_Un_Int [symmetric], auto)
-
-lemma setprod_Un2:
- assumes "finite (A \<union> B)"
- shows "setprod f (A \<union> B) = setprod f (A - B) * setprod f (B - A) * setprod f (A \<inter> B)"
-proof -
- have "A \<union> B = A - B \<union> (B - A) \<union> A \<inter> B"
- by auto
- with assms show ?thesis by simp (subst setprod_Un_disjoint, auto)+
-qed
-
lemma setprod_diff1: "finite A ==> f a \<noteq> 0 ==>
(setprod f (A - {a}) :: 'a :: {field}) =
(if a:A then setprod f A / f a else setprod f A)"
@@ -1197,7 +1330,7 @@
lemma setprod_gen_delta:
assumes fS: "finite S"
- shows "setprod (\<lambda>k. if k=a then b k else c) S = (if a \<in> S then (b a ::'a::{comm_monoid_mult}) * c^ (card S - 1) else c^ card S)"
+ shows "setprod (\<lambda>k. if k=a then b k else c) S = (if a \<in> S then (b a ::'a::comm_monoid_mult) * c^ (card S - 1) else c^ card S)"
proof-
let ?f = "(\<lambda>k. if k=a then b k else c)"
{assume a: "a \<notin> S"
@@ -1222,150 +1355,431 @@
ultimately show ?thesis by blast
qed
+lemma setprod_eq_1_iff [simp]:
+ "finite F ==> setprod f F = 1 \<longleftrightarrow> (ALL a:F. f a = (1::nat))"
+ by (induct set: finite) auto
-subsection {* Versions of @{const inf} and @{const sup} on non-empty sets *}
+lemma setprod_pos_nat:
+ "finite S ==> (ALL x : S. f x > (0::nat)) ==> setprod f S > 0"
+using setprod_zero_iff by(simp del:neq0_conv add:neq0_conv[symmetric])
+
+lemma setprod_pos_nat_iff[simp]:
+ "finite S ==> (setprod f S > 0) = (ALL x : S. f x > (0::nat))"
+using setprod_zero_iff by(simp del:neq0_conv add:neq0_conv[symmetric])
+
+
+subsection {* Generic lattice operations over a set *}
no_notation times (infixl "*" 70)
no_notation Groups.one ("1")
-locale semilattice_big = semilattice +
- fixes F :: "'a set \<Rightarrow> 'a"
- assumes F_eq: "finite A \<Longrightarrow> F A = fold1 (op *) A"
+
+subsubsection {* Without neutral element *}
+
+locale semilattice_set = semilattice
+begin
+
+definition F :: "'a set \<Rightarrow> 'a"
+where
+ eq_fold': "F A = the (Finite_Set.fold (\<lambda>x y. Some (case y of None \<Rightarrow> x | Some z \<Rightarrow> f x z)) None A)"
+
+lemma eq_fold:
+ assumes "finite A"
+ shows "F (insert x A) = Finite_Set.fold f x A"
+proof (rule sym)
+ let ?f = "\<lambda>x y. Some (case y of None \<Rightarrow> x | Some z \<Rightarrow> f x z)"
+ interpret comp_fun_idem f
+ by default (simp_all add: fun_eq_iff left_commute)
+ interpret comp_fun_idem "?f"
+ by default (simp_all add: fun_eq_iff commute left_commute split: option.split)
+ from assms show "Finite_Set.fold f x A = F (insert x A)"
+ proof induct
+ case empty then show ?case by (simp add: eq_fold')
+ next
+ case (insert y B) then show ?case by (simp add: insert_commute [of x] eq_fold')
+ qed
+qed
+
+lemma singleton [simp]:
+ "F {x} = x"
+ by (simp add: eq_fold)
+
+lemma insert_not_elem:
+ assumes "finite A" and "x \<notin> A" and "A \<noteq> {}"
+ shows "F (insert x A) = x * F A"
+proof -
+ interpret comp_fun_idem f
+ by default (simp_all add: fun_eq_iff left_commute)
+ from `A \<noteq> {}` obtain b where "b \<in> A" by blast
+ then obtain B where *: "A = insert b B" "b \<notin> B" by (blast dest: mk_disjoint_insert)
+ with `finite A` and `x \<notin> A`
+ have "finite (insert x B)" and "b \<notin> insert x B" by auto
+ then have "F (insert b (insert x B)) = x * F (insert b B)"
+ by (simp add: eq_fold)
+ then show ?thesis by (simp add: * insert_commute)
+qed
+
+lemma subsumption:
+ assumes "finite A" and "x \<in> A"
+ shows "x * F A = F A"
+proof -
+ from assms have "A \<noteq> {}" by auto
+ with `finite A` show ?thesis using `x \<in> A`
+ by (induct A rule: finite_ne_induct) (auto simp add: ac_simps insert_not_elem)
+qed
+
+lemma insert [simp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "F (insert x A) = x * F A"
+ using assms by (cases "x \<in> A") (simp_all add: insert_absorb subsumption insert_not_elem)
+
+lemma union:
+ assumes "finite A" "A \<noteq> {}" and "finite B" "B \<noteq> {}"
+ shows "F (A \<union> B) = F A * F B"
+ using assms by (induct A rule: finite_ne_induct) (simp_all add: ac_simps)
+
+lemma remove:
+ assumes "finite A" and "x \<in> A"
+ shows "F A = (if A - {x} = {} then x else x * F (A - {x}))"
+proof -
+ from assms obtain B where "A = insert x B" and "x \<notin> B" by (blast dest: mk_disjoint_insert)
+ with assms show ?thesis by simp
+qed
+
+lemma insert_remove:
+ assumes "finite A"
+ shows "F (insert x A) = (if A - {x} = {} then x else x * F (A - {x}))"
+ using assms by (cases "x \<in> A") (simp_all add: insert_absorb remove)
+
+lemma subset:
+ assumes "finite A" "B \<noteq> {}" and "B \<subseteq> A"
+ shows "F B * F A = F A"
+proof -
+ from assms have "A \<noteq> {}" and "finite B" by (auto dest: finite_subset)
+ with assms show ?thesis by (simp add: union [symmetric] Un_absorb1)
+qed
+
+lemma closed:
+ assumes "finite A" "A \<noteq> {}" and elem: "\<And>x y. x * y \<in> {x, y}"
+ shows "F A \<in> A"
+using `finite A` `A \<noteq> {}` proof (induct rule: finite_ne_induct)
+ case singleton then show ?case by simp
+next
+ case insert with elem show ?case by force
+qed
+
+lemma hom_commute:
+ assumes hom: "\<And>x y. h (x * y) = h x * h y"
+ and N: "finite N" "N \<noteq> {}"
+ shows "h (F N) = F (h ` N)"
+using N proof (induct rule: finite_ne_induct)
+ case singleton thus ?case by simp
+next
+ case (insert n N)
+ then have "h (F (insert n N)) = h (n * F N)" by simp
+ also have "\<dots> = h n * h (F N)" by (rule hom)
+ also have "h (F N) = F (h ` N)" by (rule insert)
+ also have "h n * \<dots> = F (insert (h n) (h ` N))"
+ using insert by simp
+ also have "insert (h n) (h ` N) = h ` insert n N" by simp
+ finally show ?case .
+qed
+
+end
+
+locale semilattice_order_set = semilattice_order + semilattice_set
+begin
+
+lemma bounded_iff:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "x \<preceq> F A \<longleftrightarrow> (\<forall>a\<in>A. x \<preceq> a)"
+ using assms by (induct rule: finite_ne_induct) (simp_all add: bounded_iff)
+
+lemma boundedI:
+ assumes "finite A"
+ assumes "A \<noteq> {}"
+ assumes "\<And>a. a \<in> A \<Longrightarrow> x \<preceq> a"
+ shows "x \<preceq> F A"
+ using assms by (simp add: bounded_iff)
+
+lemma boundedE:
+ assumes "finite A" and "A \<noteq> {}" and "x \<preceq> F A"
+ obtains "\<And>a. a \<in> A \<Longrightarrow> x \<preceq> a"
+ using assms by (simp add: bounded_iff)
-sublocale semilattice_big < folding_one_idem proof
-qed (simp_all add: F_eq)
+lemma coboundedI:
+ assumes "finite A"
+ and "a \<in> A"
+ shows "F A \<preceq> a"
+proof -
+ from assms have "A \<noteq> {}" by auto
+ from `finite A` `A \<noteq> {}` `a \<in> A` show ?thesis
+ proof (induct rule: finite_ne_induct)
+ case singleton thus ?case by (simp add: refl)
+ next
+ case (insert x B)
+ from insert have "a = x \<or> a \<in> B" by simp
+ then show ?case using insert by (auto intro: coboundedI2)
+ qed
+qed
+
+lemma antimono:
+ assumes "A \<subseteq> B" and "A \<noteq> {}" and "finite B"
+ shows "F B \<preceq> F A"
+proof (cases "A = B")
+ case True then show ?thesis by (simp add: refl)
+next
+ case False
+ have B: "B = A \<union> (B - A)" using `A \<subseteq> B` by blast
+ then have "F B = F (A \<union> (B - A))" by simp
+ also have "\<dots> = F A * F (B - A)" using False assms by (subst union) (auto intro: finite_subset)
+ also have "\<dots> \<preceq> F A" by simp
+ finally show ?thesis .
+qed
+
+end
+
+
+subsubsection {* With neutral element *}
+
+locale semilattice_neutr_set = semilattice_neutr
+begin
+
+definition F :: "'a set \<Rightarrow> 'a"
+where
+ eq_fold: "F A = Finite_Set.fold f 1 A"
+
+lemma infinite [simp]:
+ "\<not> finite A \<Longrightarrow> F A = 1"
+ by (simp add: eq_fold)
+
+lemma empty [simp]:
+ "F {} = 1"
+ by (simp add: eq_fold)
+
+lemma insert [simp]:
+ assumes "finite A"
+ shows "F (insert x A) = x * F A"
+proof -
+ interpret comp_fun_idem f
+ by default (simp_all add: fun_eq_iff left_commute)
+ from assms show ?thesis by (simp add: eq_fold)
+qed
+
+lemma subsumption:
+ assumes "finite A" and "x \<in> A"
+ shows "x * F A = F A"
+proof -
+ from assms have "A \<noteq> {}" by auto
+ with `finite A` show ?thesis using `x \<in> A`
+ by (induct A rule: finite_ne_induct) (auto simp add: ac_simps)
+qed
+
+lemma union:
+ assumes "finite A" and "finite B"
+ shows "F (A \<union> B) = F A * F B"
+ using assms by (induct A) (simp_all add: ac_simps)
+
+lemma remove:
+ assumes "finite A" and "x \<in> A"
+ shows "F A = x * F (A - {x})"
+proof -
+ from assms obtain B where "A = insert x B" and "x \<notin> B" by (blast dest: mk_disjoint_insert)
+ with assms show ?thesis by simp
+qed
+
+lemma insert_remove:
+ assumes "finite A"
+ shows "F (insert x A) = x * F (A - {x})"
+ using assms by (cases "x \<in> A") (simp_all add: insert_absorb remove)
+
+lemma subset:
+ assumes "finite A" and "B \<subseteq> A"
+ shows "F B * F A = F A"
+proof -
+ from assms have "finite B" by (auto dest: finite_subset)
+ with assms show ?thesis by (simp add: union [symmetric] Un_absorb1)
+qed
+
+lemma closed:
+ assumes "finite A" "A \<noteq> {}" and elem: "\<And>x y. x * y \<in> {x, y}"
+ shows "F A \<in> A"
+using `finite A` `A \<noteq> {}` proof (induct rule: finite_ne_induct)
+ case singleton then show ?case by simp
+next
+ case insert with elem show ?case by force
+qed
+
+end
+
+locale semilattice_order_neutr_set = semilattice_neutr_order + semilattice_neutr_set
+begin
+
+lemma bounded_iff:
+ assumes "finite A"
+ shows "x \<preceq> F A \<longleftrightarrow> (\<forall>a\<in>A. x \<preceq> a)"
+ using assms by (induct A) (simp_all add: bounded_iff)
+
+lemma boundedI:
+ assumes "finite A"
+ assumes "\<And>a. a \<in> A \<Longrightarrow> x \<preceq> a"
+ shows "x \<preceq> F A"
+ using assms by (simp add: bounded_iff)
+
+lemma boundedE:
+ assumes "finite A" and "x \<preceq> F A"
+ obtains "\<And>a. a \<in> A \<Longrightarrow> x \<preceq> a"
+ using assms by (simp add: bounded_iff)
+
+lemma coboundedI:
+ assumes "finite A"
+ and "a \<in> A"
+ shows "F A \<preceq> a"
+proof -
+ from assms have "A \<noteq> {}" by auto
+ from `finite A` `A \<noteq> {}` `a \<in> A` show ?thesis
+ proof (induct rule: finite_ne_induct)
+ case singleton thus ?case by (simp add: refl)
+ next
+ case (insert x B)
+ from insert have "a = x \<or> a \<in> B" by simp
+ then show ?case using insert by (auto intro: coboundedI2)
+ qed
+qed
+
+lemma antimono:
+ assumes "A \<subseteq> B" and "finite B"
+ shows "F B \<preceq> F A"
+proof (cases "A = B")
+ case True then show ?thesis by (simp add: refl)
+next
+ case False
+ have B: "B = A \<union> (B - A)" using `A \<subseteq> B` by blast
+ then have "F B = F (A \<union> (B - A))" by simp
+ also have "\<dots> = F A * F (B - A)" using False assms by (subst union) (auto intro: finite_subset)
+ also have "\<dots> \<preceq> F A" by simp
+ finally show ?thesis .
+qed
+
+end
notation times (infixl "*" 70)
notation Groups.one ("1")
-context lattice
-begin
-definition Inf_fin :: "'a set \<Rightarrow> 'a" ("\<Sqinter>\<^bsub>fin\<^esub>_" [900] 900) where
- "Inf_fin = fold1 inf"
-
-definition Sup_fin :: "'a set \<Rightarrow> 'a" ("\<Squnion>\<^bsub>fin\<^esub>_" [900] 900) where
- "Sup_fin = fold1 sup"
-
-end
+subsection {* Lattice operations on finite sets *}
-sublocale lattice < Inf_fin!: semilattice_big inf Inf_fin proof
-qed (simp add: Inf_fin_def)
-
-sublocale lattice < Sup_fin!: semilattice_big sup Sup_fin proof
-qed (simp add: Sup_fin_def)
+text {*
+ For historic reasons, there is the sublocale dependency from @{class distrib_lattice}
+ to @{class linorder}. This is badly designed: both should depend on a common abstract
+ distributive lattice rather than having this non-subclass dependecy between two
+ classes. But for the moment we have to live with it. This forces us to setup
+ this sublocale dependency simultaneously with the lattice operations on finite
+ sets, to avoid garbage.
+*}
-context semilattice_inf
-begin
+definition (in semilattice_inf) Inf_fin :: "'a set \<Rightarrow> 'a" ("\<Sqinter>\<^bsub>fin\<^esub>_" [900] 900)
+where
+ "Inf_fin = semilattice_set.F inf"
-lemma ab_semigroup_idem_mult_inf:
- "class.ab_semigroup_idem_mult inf"
-proof qed (rule inf_assoc inf_commute inf_idem)+
+definition (in semilattice_sup) Sup_fin :: "'a set \<Rightarrow> 'a" ("\<Squnion>\<^bsub>fin\<^esub>_" [900] 900)
+where
+ "Sup_fin = semilattice_set.F sup"
-lemma fold_inf_insert[simp]: "finite A \<Longrightarrow> Finite_Set.fold inf b (insert a A) = inf a (Finite_Set.fold inf b A)"
-by(rule comp_fun_idem.fold_insert_idem[OF ab_semigroup_idem_mult.comp_fun_idem[OF ab_semigroup_idem_mult_inf]])
+definition (in linorder) Min :: "'a set \<Rightarrow> 'a"
+where
+ "Min = semilattice_set.F min"
-lemma inf_le_fold_inf: "finite A \<Longrightarrow> ALL a:A. b \<le> a \<Longrightarrow> inf b c \<le> Finite_Set.fold inf c A"
-by (induct pred: finite) (auto intro: le_infI1)
+definition (in linorder) Max :: "'a set \<Rightarrow> 'a"
+where
+ "Max = semilattice_set.F max"
+
+text {* An aside: @{const min}/@{const max} on linear orders as special case of @{const inf}/@{const sup} *}
-lemma fold_inf_le_inf: "finite A \<Longrightarrow> a \<in> A \<Longrightarrow> Finite_Set.fold inf b A \<le> inf a b"
-proof(induct arbitrary: a pred:finite)
- case empty thus ?case by simp
-next
- case (insert x A)
- show ?case
- proof cases
- assume "A = {}" thus ?thesis using insert by simp
- next
- assume "A \<noteq> {}" thus ?thesis using insert by (auto intro: le_infI2)
- qed
-qed
-
-lemma below_fold1_iff:
- assumes "finite A" "A \<noteq> {}"
- shows "x \<le> fold1 inf A \<longleftrightarrow> (\<forall>a\<in>A. x \<le> a)"
+sublocale linorder < min_max!: distrib_lattice min less_eq less max
+where
+ "semilattice_inf.Inf_fin min = Min"
+ and "semilattice_sup.Sup_fin max = Max"
proof -
- interpret ab_semigroup_idem_mult inf
- by (rule ab_semigroup_idem_mult_inf)
- show ?thesis using assms by (induct rule: finite_ne_induct) simp_all
+ show "class.distrib_lattice min less_eq less max"
+ proof
+ fix x y z
+ show "max x (min y z) = min (max x y) (max x z)"
+ by (auto simp add: min_def max_def)
+ qed (auto simp add: min_def max_def not_le less_imp_le)
+ then interpret min_max!: distrib_lattice min less_eq less max .
+ show "semilattice_inf.Inf_fin min = Min"
+ by (simp only: min_max.Inf_fin_def Min_def)
+ show "semilattice_sup.Sup_fin max = Max"
+ by (simp only: min_max.Sup_fin_def Max_def)
qed
-lemma fold1_belowI:
- assumes "finite A"
- and "a \<in> A"
- shows "fold1 inf A \<le> a"
+lemma inf_min: "inf = (min \<Colon> 'a\<Colon>{semilattice_inf, linorder} \<Rightarrow> 'a \<Rightarrow> 'a)"
+ by (rule ext)+ (auto intro: antisym)
+
+lemma sup_max: "sup = (max \<Colon> 'a\<Colon>{semilattice_sup, linorder} \<Rightarrow> 'a \<Rightarrow> 'a)"
+ by (rule ext)+ (auto intro: antisym)
+
+lemmas le_maxI1 = min_max.sup_ge1
+lemmas le_maxI2 = min_max.sup_ge2
+
+lemmas min_ac = min_max.inf_assoc min_max.inf_commute
+ min_max.inf.left_commute
+
+lemmas max_ac = min_max.sup_assoc min_max.sup_commute
+ min_max.sup.left_commute
+
+
+text {* Lattice operations proper *}
+
+sublocale semilattice_inf < Inf_fin!: semilattice_order_set inf less_eq less
+where
+ "Inf_fin.F = Inf_fin"
proof -
- from assms have "A \<noteq> {}" by auto
- from `finite A` `A \<noteq> {}` `a \<in> A` show ?thesis
- proof (induct rule: finite_ne_induct)
- case singleton thus ?case by simp
- next
- interpret ab_semigroup_idem_mult inf
- by (rule ab_semigroup_idem_mult_inf)
- case (insert x F)
- from insert(5) have "a = x \<or> a \<in> F" by simp
- thus ?case
- proof
- assume "a = x" thus ?thesis using insert
- by (simp add: mult_ac)
- next
- assume "a \<in> F"
- hence bel: "fold1 inf F \<le> a" by (rule insert)
- have "inf (fold1 inf (insert x F)) a = inf x (inf (fold1 inf F) a)"
- using insert by (simp add: mult_ac)
- also have "inf (fold1 inf F) a = fold1 inf F"
- using bel by (auto intro: antisym)
- also have "inf x \<dots> = fold1 inf (insert x F)"
- using insert by (simp add: mult_ac)
- finally have aux: "inf (fold1 inf (insert x F)) a = fold1 inf (insert x F)" .
- moreover have "inf (fold1 inf (insert x F)) a \<le> a" by simp
- ultimately show ?thesis by simp
- qed
- qed
+ show "semilattice_order_set inf less_eq less" ..
+ then interpret Inf_fin!: semilattice_order_set inf less_eq less.
+ show "Inf_fin.F = Inf_fin"
+ by (fact Inf_fin_def [symmetric])
qed
-end
-
-context semilattice_sup
-begin
-
-lemma ab_semigroup_idem_mult_sup: "class.ab_semigroup_idem_mult sup"
-by (rule semilattice_inf.ab_semigroup_idem_mult_inf)(rule dual_semilattice)
+sublocale semilattice_sup < Sup_fin!: semilattice_order_set sup greater_eq greater
+where
+ "Sup_fin.F = Sup_fin"
+proof -
+ show "semilattice_order_set sup greater_eq greater" ..
+ then interpret Sup_fin!: semilattice_order_set sup greater_eq greater .
+ show "Sup_fin.F = Sup_fin"
+ by (fact Sup_fin_def [symmetric])
+qed
-lemma fold_sup_insert[simp]: "finite A \<Longrightarrow> Finite_Set.fold sup b (insert a A) = sup a (Finite_Set.fold sup b A)"
-by(rule semilattice_inf.fold_inf_insert)(rule dual_semilattice)
+
+subsection {* Infimum and Supremum over non-empty sets *}
-lemma fold_sup_le_sup: "finite A \<Longrightarrow> ALL a:A. a \<le> b \<Longrightarrow> Finite_Set.fold sup c A \<le> sup b c"
-by(rule semilattice_inf.inf_le_fold_inf)(rule dual_semilattice)
-
-lemma sup_le_fold_sup: "finite A \<Longrightarrow> a \<in> A \<Longrightarrow> sup a b \<le> Finite_Set.fold sup b A"
-by(rule semilattice_inf.fold_inf_le_inf)(rule dual_semilattice)
-
-end
+text {*
+ After this non-regular bootstrap, things continue canonically.
+*}
context lattice
begin
lemma Inf_le_Sup [simp]: "\<lbrakk> finite A; A \<noteq> {} \<rbrakk> \<Longrightarrow> \<Sqinter>\<^bsub>fin\<^esub>A \<le> \<Squnion>\<^bsub>fin\<^esub>A"
-apply(unfold Sup_fin_def Inf_fin_def)
apply(subgoal_tac "EX a. a:A")
prefer 2 apply blast
apply(erule exE)
apply(rule order_trans)
-apply(erule (1) fold1_belowI)
-apply(erule (1) semilattice_inf.fold1_belowI [OF dual_semilattice])
+apply(erule (1) Inf_fin.coboundedI)
+apply(erule (1) Sup_fin.coboundedI)
done
lemma sup_Inf_absorb [simp]:
"finite A \<Longrightarrow> a \<in> A \<Longrightarrow> sup a (\<Sqinter>\<^bsub>fin\<^esub>A) = a"
apply(subst sup_commute)
-apply(simp add: Inf_fin_def sup_absorb2 fold1_belowI)
+apply(simp add: sup_absorb2 Inf_fin.coboundedI)
done
lemma inf_Sup_absorb [simp]:
"finite A \<Longrightarrow> a \<in> A \<Longrightarrow> inf a (\<Squnion>\<^bsub>fin\<^esub>A) = a"
-by (simp add: Sup_fin_def inf_absorb1
- semilattice_inf.fold1_belowI [OF dual_semilattice])
+by (simp add: inf_absorb1 Sup_fin.coboundedI)
end
@@ -1376,27 +1790,19 @@
assumes "finite A"
and "A \<noteq> {}"
shows "sup x (\<Sqinter>\<^bsub>fin\<^esub>A) = \<Sqinter>\<^bsub>fin\<^esub>{sup x a|a. a \<in> A}"
-proof -
- interpret ab_semigroup_idem_mult inf
- by (rule ab_semigroup_idem_mult_inf)
- from assms show ?thesis
- by (simp add: Inf_fin_def image_def
- hom_fold1_commute [where h="sup x", OF sup_inf_distrib1])
- (rule arg_cong [where f="fold1 inf"], blast)
-qed
+using assms by (simp add: image_def Inf_fin.hom_commute [where h="sup x", OF sup_inf_distrib1])
+ (rule arg_cong [where f="Inf_fin"], blast)
lemma sup_Inf2_distrib:
assumes A: "finite A" "A \<noteq> {}" and B: "finite B" "B \<noteq> {}"
shows "sup (\<Sqinter>\<^bsub>fin\<^esub>A) (\<Sqinter>\<^bsub>fin\<^esub>B) = \<Sqinter>\<^bsub>fin\<^esub>{sup a b|a b. a \<in> A \<and> b \<in> B}"
using A proof (induct rule: finite_ne_induct)
- case singleton thus ?case
+ case singleton then show ?case
by (simp add: sup_Inf1_distrib [OF B])
next
- interpret ab_semigroup_idem_mult inf
- by (rule ab_semigroup_idem_mult_inf)
case (insert x A)
have finB: "finite {sup x b |b. b \<in> B}"
- by(rule finite_surj[where f = "sup x", OF B(1)], auto)
+ by (rule finite_surj [where f = "sup x", OF B(1)], auto)
have finAB: "finite {sup a b |a b. a \<in> A \<and> b \<in> B}"
proof -
have "{sup a b |a b. a \<in> A \<and> b \<in> B} = (UN a:A. UN b:B. {sup a b})"
@@ -1412,7 +1818,7 @@
also have "\<dots> = \<Sqinter>\<^bsub>fin\<^esub>({sup x b |b. b \<in> B} \<union> {sup a b |a b. a \<in> A \<and> b \<in> B})"
(is "_ = \<Sqinter>\<^bsub>fin\<^esub>?M")
using B insert
- by (simp add: Inf_fin_def fold1_Un2 [OF finB _ finAB ne])
+ by (simp add: Inf_fin.union [OF finB _ finAB ne])
also have "?M = {sup a b |a b. a \<in> insert x A \<and> b \<in> B}"
by blast
finally show ?case .
@@ -1421,13 +1827,8 @@
lemma inf_Sup1_distrib:
assumes "finite A" and "A \<noteq> {}"
shows "inf x (\<Squnion>\<^bsub>fin\<^esub>A) = \<Squnion>\<^bsub>fin\<^esub>{inf x a|a. a \<in> A}"
-proof -
- interpret ab_semigroup_idem_mult sup
- by (rule ab_semigroup_idem_mult_sup)
- from assms show ?thesis
- by (simp add: Sup_fin_def image_def hom_fold1_commute [where h="inf x", OF inf_sup_distrib1])
- (rule arg_cong [where f="fold1 sup"], blast)
-qed
+using assms by (simp add: image_def Sup_fin.hom_commute [where h="inf x", OF inf_sup_distrib1])
+ (rule arg_cong [where f="Sup_fin"], blast)
lemma inf_Sup2_distrib:
assumes A: "finite A" "A \<noteq> {}" and B: "finite B" "B \<noteq> {}"
@@ -1446,8 +1847,6 @@
thus ?thesis by(simp add: insert(1) B(1))
qed
have ne: "{inf a b |a b. a \<in> A \<and> b \<in> B} \<noteq> {}" using insert B by blast
- interpret ab_semigroup_idem_mult sup
- by (rule ab_semigroup_idem_mult_sup)
have "inf (\<Squnion>\<^bsub>fin\<^esub>(insert x A)) (\<Squnion>\<^bsub>fin\<^esub>B) = inf (sup x (\<Squnion>\<^bsub>fin\<^esub>A)) (\<Squnion>\<^bsub>fin\<^esub>B)"
using insert by simp
also have "\<dots> = sup (inf x (\<Squnion>\<^bsub>fin\<^esub>B)) (inf (\<Squnion>\<^bsub>fin\<^esub>A) (\<Squnion>\<^bsub>fin\<^esub>B))" by(rule inf_sup_distrib2)
@@ -1456,7 +1855,7 @@
also have "\<dots> = \<Squnion>\<^bsub>fin\<^esub>({inf x b |b. b \<in> B} \<union> {inf a b |a b. a \<in> A \<and> b \<in> B})"
(is "_ = \<Squnion>\<^bsub>fin\<^esub>?M")
using B insert
- by (simp add: Sup_fin_def fold1_Un2 [OF finB _ finAB ne])
+ by (simp add: Sup_fin.union [OF finB _ finAB ne])
also have "?M = {inf a b |a b. a \<in> insert x A \<and> b \<in> B}"
by blast
finally show ?case .
@@ -1471,227 +1870,84 @@
assumes "finite A" and "A \<noteq> {}"
shows "\<Sqinter>\<^bsub>fin\<^esub>A = Inf A"
proof -
- interpret ab_semigroup_idem_mult inf
- by (rule ab_semigroup_idem_mult_inf)
- from `A \<noteq> {}` obtain b B where "A = {b} \<union> B" by auto
- moreover with `finite A` have "finite B" by simp
- ultimately show ?thesis
- by (simp add: Inf_fin_def fold1_eq_fold_idem inf_Inf_fold_inf [symmetric])
+ from assms obtain b B where "A = insert b B" and "finite B" by auto
+ then show ?thesis
+ by (simp add: Inf_fin.eq_fold inf_Inf_fold_inf inf.commute [of b])
qed
lemma Sup_fin_Sup:
assumes "finite A" and "A \<noteq> {}"
shows "\<Squnion>\<^bsub>fin\<^esub>A = Sup A"
proof -
- interpret ab_semigroup_idem_mult sup
- by (rule ab_semigroup_idem_mult_sup)
- from `A \<noteq> {}` obtain b B where "A = {b} \<union> B" by auto
- moreover with `finite A` have "finite B" by simp
- ultimately show ?thesis
- by (simp add: Sup_fin_def fold1_eq_fold_idem sup_Sup_fold_sup [symmetric])
+ from assms obtain b B where "A = insert b B" and "finite B" by auto
+ then show ?thesis
+ by (simp add: Sup_fin.eq_fold sup_Sup_fold_sup sup.commute [of b])
qed
end
-subsection {* Versions of @{const min} and @{const max} on non-empty sets *}
-
-definition (in linorder) Min :: "'a set \<Rightarrow> 'a" where
- "Min = fold1 min"
+subsection {* Minimum and Maximum over non-empty sets *}
-definition (in linorder) Max :: "'a set \<Rightarrow> 'a" where
- "Max = fold1 max"
-
-sublocale linorder < Min!: semilattice_big min Min proof
-qed (simp add: Min_def)
-
-sublocale linorder < Max!: semilattice_big max Max proof
-qed (simp add: Max_def)
+text {*
+ This case is already setup by the @{text min_max} sublocale dependency from above. But note
+ that this yields irregular prefixes, e.g.~@{text min_max.Inf_fin.insert} instead
+ of @{text Max.insert}.
+*}
context linorder
begin
-lemmas Min_singleton = Min.singleton
-lemmas Max_singleton = Max.singleton
-
-lemma Min_insert:
- assumes "finite A" and "A \<noteq> {}"
- shows "Min (insert x A) = min x (Min A)"
- using assms by simp
-
-lemma Max_insert:
- assumes "finite A" and "A \<noteq> {}"
- shows "Max (insert x A) = max x (Max A)"
- using assms by simp
-
-lemma Min_Un:
- assumes "finite A" and "A \<noteq> {}" and "finite B" and "B \<noteq> {}"
- shows "Min (A \<union> B) = min (Min A) (Min B)"
- using assms by (rule Min.union_idem)
-
-lemma Max_Un:
- assumes "finite A" and "A \<noteq> {}" and "finite B" and "B \<noteq> {}"
- shows "Max (A \<union> B) = max (Max A) (Max B)"
- using assms by (rule Max.union_idem)
-
-lemma hom_Min_commute:
- assumes "\<And>x y. h (min x y) = min (h x) (h y)"
- and "finite N" and "N \<noteq> {}"
- shows "h (Min N) = Min (h ` N)"
- using assms by (rule Min.hom_commute)
-
-lemma hom_Max_commute:
- assumes "\<And>x y. h (max x y) = max (h x) (h y)"
- and "finite N" and "N \<noteq> {}"
- shows "h (Max N) = Max (h ` N)"
- using assms by (rule Max.hom_commute)
-
-lemma ab_semigroup_idem_mult_min:
- "class.ab_semigroup_idem_mult min"
- proof qed (auto simp add: min_def)
-
-lemma ab_semigroup_idem_mult_max:
- "class.ab_semigroup_idem_mult max"
- proof qed (auto simp add: max_def)
-
-lemma max_lattice:
- "class.semilattice_inf max (op \<ge>) (op >)"
- by (fact min_max.dual_semilattice)
-
-lemma dual_max:
- "ord.max (op \<ge>) = min"
- by (auto simp add: ord.max_def min_def fun_eq_iff)
-
lemma dual_min:
- "ord.min (op \<ge>) = max"
+ "ord.min greater_eq = max"
by (auto simp add: ord.min_def max_def fun_eq_iff)
-lemma strict_below_fold1_iff:
- assumes "finite A" and "A \<noteq> {}"
- shows "x < fold1 min A \<longleftrightarrow> (\<forall>a\<in>A. x < a)"
+lemma dual_max:
+ "ord.max greater_eq = min"
+ by (auto simp add: ord.max_def min_def fun_eq_iff)
+
+lemma dual_Min:
+ "linorder.Min greater_eq = Max"
proof -
- interpret ab_semigroup_idem_mult min
- by (rule ab_semigroup_idem_mult_min)
- from assms show ?thesis
- by (induct rule: finite_ne_induct)
- (simp_all add: fold1_insert)
-qed
-
-lemma fold1_below_iff:
- assumes "finite A" and "A \<noteq> {}"
- shows "fold1 min A \<le> x \<longleftrightarrow> (\<exists>a\<in>A. a \<le> x)"
-proof -
- interpret ab_semigroup_idem_mult min
- by (rule ab_semigroup_idem_mult_min)
- from assms show ?thesis
- by (induct rule: finite_ne_induct)
- (simp_all add: fold1_insert min_le_iff_disj)
+ interpret dual!: linorder greater_eq greater by (fact dual_linorder)
+ show ?thesis by (simp add: dual.Min_def dual_min Max_def)
qed
-lemma fold1_strict_below_iff:
- assumes "finite A" and "A \<noteq> {}"
- shows "fold1 min A < x \<longleftrightarrow> (\<exists>a\<in>A. a < x)"
+lemma dual_Max:
+ "linorder.Max greater_eq = Min"
proof -
- interpret ab_semigroup_idem_mult min
- by (rule ab_semigroup_idem_mult_min)
- from assms show ?thesis
- by (induct rule: finite_ne_induct)
- (simp_all add: fold1_insert min_less_iff_disj)
+ interpret dual!: linorder greater_eq greater by (fact dual_linorder)
+ show ?thesis by (simp add: dual.Max_def dual_max Min_def)
qed
-lemma fold1_antimono:
- assumes "A \<noteq> {}" and "A \<subseteq> B" and "finite B"
- shows "fold1 min B \<le> fold1 min A"
-proof cases
- assume "A = B" thus ?thesis by simp
-next
- interpret ab_semigroup_idem_mult min
- by (rule ab_semigroup_idem_mult_min)
- assume neq: "A \<noteq> B"
- have B: "B = A \<union> (B-A)" using `A \<subseteq> B` by blast
- have "fold1 min B = fold1 min (A \<union> (B-A))" by(subst B)(rule refl)
- also have "\<dots> = min (fold1 min A) (fold1 min (B-A))"
- proof -
- have "finite A" by(rule finite_subset[OF `A \<subseteq> B` `finite B`])
- moreover have "finite(B-A)" by(rule finite_Diff[OF `finite B`])
- moreover have "(B-A) \<noteq> {}" using assms neq by blast
- moreover have "A Int (B-A) = {}" using assms by blast
- ultimately show ?thesis using `A \<noteq> {}` by (rule_tac fold1_Un)
- qed
- also have "\<dots> \<le> fold1 min A" by (simp add: min_le_iff_disj)
- finally show ?thesis .
-qed
+lemmas Min_singleton = min_max.Inf_fin.singleton
+lemmas Max_singleton = min_max.Sup_fin.singleton
+lemmas Min_insert = min_max.Inf_fin.insert
+lemmas Max_insert = min_max.Sup_fin.insert
+lemmas Min_Un = min_max.Inf_fin.union
+lemmas Max_Un = min_max.Sup_fin.union
+lemmas hom_Min_commute = min_max.Inf_fin.hom_commute
+lemmas hom_Max_commute = min_max.Sup_fin.hom_commute
lemma Min_in [simp]:
assumes "finite A" and "A \<noteq> {}"
shows "Min A \<in> A"
-proof -
- interpret ab_semigroup_idem_mult min
- by (rule ab_semigroup_idem_mult_min)
- from assms fold1_in show ?thesis by (fastforce simp: Min_def min_def)
-qed
+ using assms by (auto simp add: min_def min_max.Inf_fin.closed)
lemma Max_in [simp]:
assumes "finite A" and "A \<noteq> {}"
shows "Max A \<in> A"
-proof -
- interpret ab_semigroup_idem_mult max
- by (rule ab_semigroup_idem_mult_max)
- from assms fold1_in [of A] show ?thesis by (fastforce simp: Max_def max_def)
-qed
+ using assms by (auto simp add: max_def min_max.Sup_fin.closed)
lemma Min_le [simp]:
assumes "finite A" and "x \<in> A"
shows "Min A \<le> x"
- using assms by (simp add: Min_def min_max.fold1_belowI)
+ using assms by (fact min_max.Inf_fin.coboundedI)
lemma Max_ge [simp]:
assumes "finite A" and "x \<in> A"
shows "x \<le> Max A"
- by (simp add: Max_def semilattice_inf.fold1_belowI [OF max_lattice] assms)
-
-lemma Min_ge_iff [simp, no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "x \<le> Min A \<longleftrightarrow> (\<forall>a\<in>A. x \<le> a)"
- using assms by (simp add: Min_def min_max.below_fold1_iff)
-
-lemma Max_le_iff [simp, no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "Max A \<le> x \<longleftrightarrow> (\<forall>a\<in>A. a \<le> x)"
- by (simp add: Max_def semilattice_inf.below_fold1_iff [OF max_lattice] assms)
-
-lemma Min_gr_iff [simp, no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "x < Min A \<longleftrightarrow> (\<forall>a\<in>A. x < a)"
- using assms by (simp add: Min_def strict_below_fold1_iff)
-
-lemma Max_less_iff [simp, no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "Max A < x \<longleftrightarrow> (\<forall>a\<in>A. a < x)"
- by (simp add: Max_def linorder.dual_max [OF dual_linorder]
- linorder.strict_below_fold1_iff [OF dual_linorder] assms)
-
-lemma Min_le_iff [no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "Min A \<le> x \<longleftrightarrow> (\<exists>a\<in>A. a \<le> x)"
- using assms by (simp add: Min_def fold1_below_iff)
-
-lemma Max_ge_iff [no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "x \<le> Max A \<longleftrightarrow> (\<exists>a\<in>A. x \<le> a)"
- by (simp add: Max_def linorder.dual_max [OF dual_linorder]
- linorder.fold1_below_iff [OF dual_linorder] assms)
-
-lemma Min_less_iff [no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "Min A < x \<longleftrightarrow> (\<exists>a\<in>A. a < x)"
- using assms by (simp add: Min_def fold1_strict_below_iff)
-
-lemma Max_gr_iff [no_atp]:
- assumes "finite A" and "A \<noteq> {}"
- shows "x < Max A \<longleftrightarrow> (\<exists>a\<in>A. x < a)"
- by (simp add: Max_def linorder.dual_max [OF dual_linorder]
- linorder.fold1_strict_below_iff [OF dual_linorder] assms)
+ using assms by (fact min_max.Sup_fin.coboundedI)
lemma Min_eqI:
assumes "finite A"
@@ -1717,22 +1973,91 @@
from assms show "x \<le> Max A" by simp
qed
+lemma Min_ge_iff [simp, no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "x \<le> Min A \<longleftrightarrow> (\<forall>a\<in>A. x \<le> a)"
+ using assms by (fact min_max.Inf_fin.bounded_iff)
+
+lemma Max_le_iff [simp, no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "Max A \<le> x \<longleftrightarrow> (\<forall>a\<in>A. a \<le> x)"
+ using assms by (fact min_max.Sup_fin.bounded_iff)
+
+lemma Min_gr_iff [simp, no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "x < Min A \<longleftrightarrow> (\<forall>a\<in>A. x < a)"
+ using assms by (induct rule: finite_ne_induct) simp_all
+
+lemma Max_less_iff [simp, no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "Max A < x \<longleftrightarrow> (\<forall>a\<in>A. a < x)"
+ using assms by (induct rule: finite_ne_induct) simp_all
+
+lemma Min_le_iff [no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "Min A \<le> x \<longleftrightarrow> (\<exists>a\<in>A. a \<le> x)"
+ using assms by (induct rule: finite_ne_induct) (simp_all add: min_le_iff_disj)
+
+lemma Max_ge_iff [no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "x \<le> Max A \<longleftrightarrow> (\<exists>a\<in>A. x \<le> a)"
+ using assms by (induct rule: finite_ne_induct) (simp_all add: le_max_iff_disj)
+
+lemma Min_less_iff [no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "Min A < x \<longleftrightarrow> (\<exists>a\<in>A. a < x)"
+ using assms by (induct rule: finite_ne_induct) (simp_all add: min_less_iff_disj)
+
+lemma Max_gr_iff [no_atp]:
+ assumes "finite A" and "A \<noteq> {}"
+ shows "x < Max A \<longleftrightarrow> (\<exists>a\<in>A. x < a)"
+ using assms by (induct rule: finite_ne_induct) (simp_all add: less_max_iff_disj)
+
lemma Min_antimono:
assumes "M \<subseteq> N" and "M \<noteq> {}" and "finite N"
shows "Min N \<le> Min M"
- using assms by (simp add: Min_def fold1_antimono)
+ using assms by (fact min_max.Inf_fin.antimono)
lemma Max_mono:
assumes "M \<subseteq> N" and "M \<noteq> {}" and "finite N"
shows "Max M \<le> Max N"
- by (simp add: Max_def linorder.dual_max [OF dual_linorder]
- linorder.fold1_antimono [OF dual_linorder] assms)
+ using assms by (fact min_max.Sup_fin.antimono)
+
+lemma mono_Min_commute:
+ assumes "mono f"
+ assumes "finite A" and "A \<noteq> {}"
+ shows "f (Min A) = Min (f ` A)"
+proof (rule linorder_class.Min_eqI [symmetric])
+ from `finite A` show "finite (f ` A)" by simp
+ from assms show "f (Min A) \<in> f ` A" by simp
+ fix x
+ assume "x \<in> f ` A"
+ then obtain y where "y \<in> A" and "x = f y" ..
+ with assms have "Min A \<le> y" by auto
+ with `mono f` have "f (Min A) \<le> f y" by (rule monoE)
+ with `x = f y` show "f (Min A) \<le> x" by simp
+qed
-lemma finite_linorder_max_induct[consumes 1, case_names empty insert]:
- assumes fin: "finite A"
- and empty: "P {}"
- and insert: "(!!b A. finite A \<Longrightarrow> ALL a:A. a < b \<Longrightarrow> P A \<Longrightarrow> P(insert b A))"
- shows "P A"
+lemma mono_Max_commute:
+ assumes "mono f"
+ assumes "finite A" and "A \<noteq> {}"
+ shows "f (Max A) = Max (f ` A)"
+proof (rule linorder_class.Max_eqI [symmetric])
+ from `finite A` show "finite (f ` A)" by simp
+ from assms show "f (Max A) \<in> f ` A" by simp
+ fix x
+ assume "x \<in> f ` A"
+ then obtain y where "y \<in> A" and "x = f y" ..
+ with assms have "y \<le> Max A" by auto
+ with `mono f` have "f y \<le> f (Max A)" by (rule monoE)
+ with `x = f y` show "x \<le> f (Max A)" by simp
+qed
+
+lemma finite_linorder_max_induct [consumes 1, case_names empty insert]:
+ assumes fin: "finite A"
+ and empty: "P {}"
+ and insert: "\<And>b A. finite A \<Longrightarrow> \<forall>a\<in>A. a < b \<Longrightarrow> P A \<Longrightarrow> P (insert b A)"
+ shows "P A"
using fin empty insert
proof (induct rule: finite_psubset_induct)
case (psubset A)
@@ -1751,16 +2076,16 @@
assume "A \<noteq> {}"
with `finite A` have "Max A : A" by auto
then have A: "?A = A" using insert_Diff_single insert_absorb by auto
- then have "P ?B" using `P {}` step IH[of ?B] by blast
+ then have "P ?B" using `P {}` step IH [of ?B] by blast
moreover
have "\<forall>a\<in>?B. a < Max A" using Max_ge [OF `finite A`] by fastforce
- ultimately show "P A" using A insert_Diff_single step[OF `finite ?B`] by fastforce
+ ultimately show "P A" using A insert_Diff_single step [OF `finite ?B`] by fastforce
qed
qed
-lemma finite_linorder_min_induct[consumes 1, case_names empty insert]:
- "\<lbrakk>finite A; P {}; \<And>b A. \<lbrakk>finite A; \<forall>a\<in>A. b < a; P A\<rbrakk> \<Longrightarrow> P (insert b A)\<rbrakk> \<Longrightarrow> P A"
-by(rule linorder.finite_linorder_max_induct[OF dual_linorder])
+lemma finite_linorder_min_induct [consumes 1, case_names empty insert]:
+ "\<lbrakk>finite A; P {}; \<And>b A. \<lbrakk>finite A; \<forall>a\<in>A. b < a; P A\<rbrakk> \<Longrightarrow> P (insert b A)\<rbrakk> \<Longrightarrow> P A"
+ by (rule linorder.finite_linorder_max_induct [OF dual_linorder])
end
@@ -1799,29 +2124,14 @@
begin
lemma minus_Max_eq_Min [simp]:
- "finite S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> - (Max S) = Min (uminus ` S)"
+ "finite S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> - Max S = Min (uminus ` S)"
by (induct S rule: finite_ne_induct) (simp_all add: minus_max_eq_min)
lemma minus_Min_eq_Max [simp]:
- "finite S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> - (Min S) = Max (uminus ` S)"
+ "finite S \<Longrightarrow> S \<noteq> {} \<Longrightarrow> - Min S = Max (uminus ` S)"
by (induct S rule: finite_ne_induct) (simp_all add: minus_min_eq_max)
end
-lemma (in linorder) mono_Max_commute:
- assumes "mono f"
- assumes "finite A" and "A \<noteq> {}"
- shows "f (Max A) = Max (f ` A)"
-proof (rule linorder_class.Max_eqI [symmetric])
- from `finite A` show "finite (f ` A)" by simp
- from assms show "f (Max A) \<in> f ` A" by simp
- fix x
- assume "x \<in> f ` A"
- then obtain y where "y \<in> A" and "x = f y" ..
- with assms have "y \<le> Max A" by auto
- with `mono f` have "f y \<le> f (Max A)" by (rule monoE)
- with `x = f y` show "x \<le> f (Max A)" by simp
-qed (* FIXME augment also dual rule mono_Min_commute *)
-
end