diff --git a/src/HOL/Finite_Set.thy b/src/HOL/Finite_Set.thy --- a/src/HOL/Finite_Set.thy +++ b/src/HOL/Finite_Set.thy @@ -1,2556 +1,2606 @@ (* Title: HOL/Finite_Set.thy Author: Tobias Nipkow Author: Lawrence C Paulson Author: Markus Wenzel Author: Jeremy Avigad Author: Andrei Popescu *) section \Finite sets\ theory Finite_Set imports Product_Type Sum_Type Fields begin subsection \Predicate for finite sets\ context notes [[inductive_internals]] begin inductive finite :: "'a set \ bool" where emptyI [simp, intro!]: "finite {}" | insertI [simp, intro!]: "finite A \ finite (insert a A)" end simproc_setup finite_Collect ("finite (Collect P)") = \K Set_Comprehension_Pointfree.simproc\ declare [[simproc del: finite_Collect]] lemma finite_induct [case_names empty insert, induct set: finite]: \ \Discharging \x \ F\ entails extra work.\ assumes "finite F" assumes "P {}" and insert: "\x F. finite F \ x \ F \ P F \ P (insert x F)" shows "P F" using \finite F\ proof induct show "P {}" by fact next fix x F assume F: "finite F" and P: "P F" show "P (insert x F)" proof cases assume "x \ F" then have "insert x F = F" by (rule insert_absorb) with P show ?thesis by (simp only:) next assume "x \ F" from F this P show ?thesis by (rule insert) qed qed lemma infinite_finite_induct [case_names infinite empty insert]: assumes infinite: "\A. \ finite A \ P A" and empty: "P {}" and insert: "\x F. finite F \ x \ F \ P F \ P (insert x F)" shows "P A" proof (cases "finite A") case False with infinite show ?thesis . next case True then show ?thesis by (induct A) (fact empty insert)+ qed subsubsection \Choice principles\ lemma ex_new_if_finite: \ \does not depend on def of finite at all\ assumes "\ finite (UNIV :: 'a set)" and "finite A" shows "\a::'a. a \ A" proof - from assms have "A \ UNIV" by blast then show ?thesis by blast qed text \A finite choice principle. Does not need the SOME choice operator.\ lemma finite_set_choice: "finite A \ \x\A. \y. P x y \ \f. \x\A. P x (f x)" proof (induct rule: finite_induct) case empty then show ?case by simp next case (insert a A) then obtain f b where f: "\x\A. P x (f x)" and ab: "P a b" by auto show ?case (is "\f. ?P f") proof show "?P (\x. if x = a then b else f x)" using f ab by auto qed qed subsubsection \Finite sets are the images of initial segments of natural numbers\ lemma finite_imp_nat_seg_image_inj_on: assumes "finite A" shows "\(n::nat) f. A = f ` {i. i < n} \ inj_on f {i. i < n}" using assms proof induct case empty show ?case proof show "\f. {} = f ` {i::nat. i < 0} \ inj_on f {i. i < 0}" by simp qed next case (insert a A) have notinA: "a \ A" by fact from insert.hyps obtain n f where "A = f ` {i::nat. i < n}" "inj_on f {i. i < n}" by blast then have "insert a A = f(n:=a) ` {i. i < Suc n}" and "inj_on (f(n:=a)) {i. i < Suc n}" using notinA by (auto simp add: image_def Ball_def inj_on_def less_Suc_eq) then show ?case by blast qed lemma nat_seg_image_imp_finite: "A = f ` {i::nat. i < n} \ finite A" proof (induct n arbitrary: A) case 0 then show ?case by simp next case (Suc n) let ?B = "f ` {i. i < n}" have finB: "finite ?B" by (rule Suc.hyps[OF refl]) show ?case proof (cases "\k (\n f. A = f ` {i::nat. i < n})" by (blast intro: nat_seg_image_imp_finite dest: finite_imp_nat_seg_image_inj_on) lemma finite_imp_inj_to_nat_seg: assumes "finite A" shows "\f n. f ` A = {i::nat. i < n} \ inj_on f A" proof - from finite_imp_nat_seg_image_inj_on [OF \finite A\] obtain f and n :: nat where bij: "bij_betw f {i. i ?f ` A = {i. i k}" by (simp add: le_eq_less_or_eq Collect_disj_eq) subsection \Finiteness and common set operations\ lemma rev_finite_subset: "finite B \ A \ B \ finite A" proof (induct arbitrary: A rule: finite_induct) case empty then show ?case by simp next case (insert x F A) have A: "A \ insert x F" and r: "A - {x} \ F \ finite (A - {x})" by fact+ show "finite A" proof cases assume x: "x \ A" with A have "A - {x} \ F" by (simp add: subset_insert_iff) with r have "finite (A - {x})" . then have "finite (insert x (A - {x}))" .. also have "insert x (A - {x}) = A" using x by (rule insert_Diff) finally show ?thesis . next show ?thesis when "A \ F" using that by fact assume "x \ A" with A show "A \ F" by (simp add: subset_insert_iff) qed qed lemma finite_subset: "A \ B \ finite B \ finite A" by (rule rev_finite_subset) lemma finite_UnI: assumes "finite F" and "finite G" shows "finite (F \ G)" using assms by induct simp_all lemma finite_Un [iff]: "finite (F \ G) \ finite F \ finite G" by (blast intro: finite_UnI finite_subset [of _ "F \ G"]) lemma finite_insert [simp]: "finite (insert a A) \ finite A" proof - have "finite {a} \ finite A \ finite A" by simp then have "finite ({a} \ A) \ finite A" by (simp only: finite_Un) then show ?thesis by simp qed lemma finite_Int [simp, intro]: "finite F \ finite G \ finite (F \ G)" by (blast intro: finite_subset) lemma finite_Collect_conjI [simp, intro]: "finite {x. P x} \ finite {x. Q x} \ finite {x. P x \ Q x}" by (simp add: Collect_conj_eq) lemma finite_Collect_disjI [simp]: "finite {x. P x \ Q x} \ finite {x. P x} \ finite {x. Q x}" by (simp add: Collect_disj_eq) lemma finite_Diff [simp, intro]: "finite A \ finite (A - B)" by (rule finite_subset, rule Diff_subset) lemma finite_Diff2 [simp]: assumes "finite B" shows "finite (A - B) \ finite A" proof - have "finite A \ finite ((A - B) \ (A \ B))" by (simp add: Un_Diff_Int) also have "\ \ finite (A - B)" using \finite B\ by simp finally show ?thesis .. qed lemma finite_Diff_insert [iff]: "finite (A - insert a B) \ finite (A - B)" proof - have "finite (A - B) \ finite (A - B - {a})" by simp moreover have "A - insert a B = A - B - {a}" by auto ultimately show ?thesis by simp qed lemma finite_compl [simp]: "finite (A :: 'a set) \ finite (- A) \ finite (UNIV :: 'a set)" by (simp add: Compl_eq_Diff_UNIV) lemma finite_Collect_not [simp]: "finite {x :: 'a. P x} \ finite {x. \ P x} \ finite (UNIV :: 'a set)" by (simp add: Collect_neg_eq) lemma finite_Union [simp, intro]: "finite A \ (\M. M \ A \ finite M) \ finite (\A)" by (induct rule: finite_induct) simp_all lemma finite_UN_I [intro]: "finite A \ (\a. a \ A \ finite (B a)) \ finite (\a\A. B a)" by (induct rule: finite_induct) simp_all lemma finite_UN [simp]: "finite A \ finite (\(B ` A)) \ (\x\A. finite (B x))" by (blast intro: finite_subset) lemma finite_Inter [intro]: "\A\M. finite A \ finite (\M)" by (blast intro: Inter_lower finite_subset) lemma finite_INT [intro]: "\x\I. finite (A x) \ finite (\x\I. A x)" by (blast intro: INT_lower finite_subset) lemma finite_imageI [simp, intro]: "finite F \ finite (h ` F)" by (induct rule: finite_induct) simp_all lemma finite_image_set [simp]: "finite {x. P x} \ finite {f x |x. P x}" by (simp add: image_Collect [symmetric]) lemma finite_image_set2: "finite {x. P x} \ finite {y. Q y} \ finite {f x y |x y. P x \ Q y}" by (rule finite_subset [where B = "\x \ {x. P x}. \y \ {y. Q y}. {f x y}"]) auto lemma finite_imageD: assumes "finite (f ` A)" and "inj_on f A" shows "finite A" using assms proof (induct "f ` A" arbitrary: A) case empty then show ?case by simp next case (insert x B) then have B_A: "insert x B = f ` A" by simp then obtain y where "x = f y" and "y \ A" by blast from B_A \x \ B\ have "B = f ` A - {x}" by blast with B_A \x \ B\ \x = f y\ \inj_on f A\ \y \ A\ have "B = f ` (A - {y})" by (simp add: inj_on_image_set_diff) moreover from \inj_on f A\ have "inj_on f (A - {y})" by (rule inj_on_diff) ultimately have "finite (A - {y})" by (rule insert.hyps) then show "finite A" by simp qed lemma finite_image_iff: "inj_on f A \ finite (f ` A) \ finite A" using finite_imageD by blast lemma finite_surj: "finite A \ B \ f ` A \ finite B" by (erule finite_subset) (rule finite_imageI) lemma finite_range_imageI: "finite (range g) \ finite (range (\x. f (g x)))" by (drule finite_imageI) (simp add: range_composition) lemma finite_subset_image: assumes "finite B" shows "B \ f ` A \ \C\A. finite C \ B = f ` C" using assms proof induct case empty then show ?case by simp next case insert then show ?case by (clarsimp simp del: image_insert simp add: image_insert [symmetric]) blast qed lemma all_subset_image: "(\B. B \ f ` A \ P B) \ (\B. B \ A \ P(f ` B))" by (safe elim!: subset_imageE) (use image_mono in \blast+\) (* slow *) lemma all_finite_subset_image: "(\B. finite B \ B \ f ` A \ P B) \ (\B. finite B \ B \ A \ P (f ` B))" proof safe fix B :: "'a set" assume B: "finite B" "B \ f ` A" and P: "\B. finite B \ B \ A \ P (f ` B)" show "P B" using finite_subset_image [OF B] P by blast qed blast lemma ex_finite_subset_image: "(\B. finite B \ B \ f ` A \ P B) \ (\B. finite B \ B \ A \ P (f ` B))" proof safe fix B :: "'a set" assume B: "finite B" "B \ f ` A" and "P B" show "\B. finite B \ B \ A \ P (f ` B)" using finite_subset_image [OF B] \P B\ by blast qed blast lemma finite_vimage_IntI: "finite F \ inj_on h A \ finite (h -` F \ A)" proof (induct rule: finite_induct) case (insert x F) then show ?case by (simp add: vimage_insert [of h x F] finite_subset [OF inj_on_vimage_singleton] Int_Un_distrib2) qed simp lemma finite_finite_vimage_IntI: assumes "finite F" and "\y. y \ F \ finite ((h -` {y}) \ A)" shows "finite (h -` F \ A)" proof - have *: "h -` F \ A = (\ y\F. (h -` {y}) \ A)" by blast show ?thesis by (simp only: * assms finite_UN_I) qed lemma finite_vimageI: "finite F \ inj h \ finite (h -` F)" using finite_vimage_IntI[of F h UNIV] by auto lemma finite_vimageD': "finite (f -` A) \ A \ range f \ finite A" by (auto simp add: subset_image_iff intro: finite_subset[rotated]) lemma finite_vimageD: "finite (h -` F) \ surj h \ finite F" by (auto dest: finite_vimageD') lemma finite_vimage_iff: "bij h \ finite (h -` F) \ finite F" unfolding bij_def by (auto elim: finite_vimageD finite_vimageI) lemma finite_inverse_image_gen: assumes "finite A" "inj_on f D" shows "finite {j\D. f j \ A}" using finite_vimage_IntI [OF assms] by (simp add: Collect_conj_eq inf_commute vimage_def) lemma finite_inverse_image: assumes "finite A" "inj f" shows "finite {j. f j \ A}" using finite_inverse_image_gen [OF assms] by simp lemma finite_Collect_bex [simp]: assumes "finite A" shows "finite {x. \y\A. Q x y} \ (\y\A. finite {x. Q x y})" proof - have "{x. \y\A. Q x y} = (\y\A. {x. Q x y})" by auto with assms show ?thesis by simp qed lemma finite_Collect_bounded_ex [simp]: assumes "finite {y. P y}" shows "finite {x. \y. P y \ Q x y} \ (\y. P y \ finite {x. Q x y})" proof - have "{x. \y. P y \ Q x y} = (\y\{y. P y}. {x. Q x y})" by auto with assms show ?thesis by simp qed lemma finite_Plus: "finite A \ finite B \ finite (A <+> B)" by (simp add: Plus_def) lemma finite_PlusD: fixes A :: "'a set" and B :: "'b set" assumes fin: "finite (A <+> B)" shows "finite A" "finite B" proof - have "Inl ` A \ A <+> B" by auto then have "finite (Inl ` A :: ('a + 'b) set)" using fin by (rule finite_subset) then show "finite A" by (rule finite_imageD) (auto intro: inj_onI) next have "Inr ` B \ A <+> B" by auto then have "finite (Inr ` B :: ('a + 'b) set)" using fin by (rule finite_subset) then show "finite B" by (rule finite_imageD) (auto intro: inj_onI) qed lemma finite_Plus_iff [simp]: "finite (A <+> B) \ finite A \ finite B" by (auto intro: finite_PlusD finite_Plus) lemma finite_Plus_UNIV_iff [simp]: "finite (UNIV :: ('a + 'b) set) \ finite (UNIV :: 'a set) \ finite (UNIV :: 'b set)" by (subst UNIV_Plus_UNIV [symmetric]) (rule finite_Plus_iff) lemma finite_SigmaI [simp, intro]: "finite A \ (\a. a\A \ finite (B a)) \ finite (SIGMA a:A. B a)" unfolding Sigma_def by blast lemma finite_SigmaI2: assumes "finite {x\A. B x \ {}}" and "\a. a \ A \ finite (B a)" shows "finite (Sigma A B)" proof - from assms have "finite (Sigma {x\A. B x \ {}} B)" by auto also have "Sigma {x:A. B x \ {}} B = Sigma A B" by auto finally show ?thesis . qed lemma finite_cartesian_product: "finite A \ finite B \ finite (A \ B)" by (rule finite_SigmaI) lemma finite_Prod_UNIV: "finite (UNIV :: 'a set) \ finite (UNIV :: 'b set) \ finite (UNIV :: ('a \ 'b) set)" by (simp only: UNIV_Times_UNIV [symmetric] finite_cartesian_product) lemma finite_cartesian_productD1: assumes "finite (A \ B)" and "B \ {}" shows "finite A" proof - from assms obtain n f where "A \ B = f ` {i::nat. i < n}" by (auto simp add: finite_conv_nat_seg_image) then have "fst ` (A \ B) = fst ` f ` {i::nat. i < n}" by simp with \B \ {}\ have "A = (fst \ f) ` {i::nat. i < n}" by (simp add: image_comp) then have "\n f. A = f ` {i::nat. i < n}" by blast then show ?thesis by (auto simp add: finite_conv_nat_seg_image) qed lemma finite_cartesian_productD2: assumes "finite (A \ B)" and "A \ {}" shows "finite B" proof - from assms obtain n f where "A \ B = f ` {i::nat. i < n}" by (auto simp add: finite_conv_nat_seg_image) then have "snd ` (A \ B) = snd ` f ` {i::nat. i < n}" by simp with \A \ {}\ have "B = (snd \ f) ` {i::nat. i < n}" by (simp add: image_comp) then have "\n f. B = f ` {i::nat. i < n}" by blast then show ?thesis by (auto simp add: finite_conv_nat_seg_image) qed lemma finite_cartesian_product_iff: "finite (A \ B) \ (A = {} \ B = {} \ (finite A \ finite B))" by (auto dest: finite_cartesian_productD1 finite_cartesian_productD2 finite_cartesian_product) lemma finite_prod: "finite (UNIV :: ('a \ 'b) set) \ finite (UNIV :: 'a set) \ finite (UNIV :: 'b set)" using finite_cartesian_product_iff[of UNIV UNIV] by simp lemma finite_Pow_iff [iff]: "finite (Pow A) \ finite A" proof assume "finite (Pow A)" then have "finite ((\x. {x}) ` A)" by (blast intro: finite_subset) (* somewhat slow *) then show "finite A" by (rule finite_imageD [unfolded inj_on_def]) simp next assume "finite A" then show "finite (Pow A)" by induct (simp_all add: Pow_insert) qed corollary finite_Collect_subsets [simp, intro]: "finite A \ finite {B. B \ A}" by (simp add: Pow_def [symmetric]) lemma finite_set: "finite (UNIV :: 'a set set) \ finite (UNIV :: 'a set)" by (simp only: finite_Pow_iff Pow_UNIV[symmetric]) lemma finite_UnionD: "finite (\A) \ finite A" by (blast intro: finite_subset [OF subset_Pow_Union]) lemma finite_bind: assumes "finite S" assumes "\x \ S. finite (f x)" shows "finite (Set.bind S f)" using assms by (simp add: bind_UNION) lemma finite_filter [simp]: "finite S \ finite (Set.filter P S)" unfolding Set.filter_def by simp lemma finite_set_of_finite_funs: assumes "finite A" "finite B" shows "finite {f. \x. (x \ A \ f x \ B) \ (x \ A \ f x = d)}" (is "finite ?S") proof - let ?F = "\f. {(a,b). a \ A \ b = f a}" have "?F ` ?S \ Pow(A \ B)" by auto from finite_subset[OF this] assms have 1: "finite (?F ` ?S)" by simp have 2: "inj_on ?F ?S" by (fastforce simp add: inj_on_def set_eq_iff fun_eq_iff) (* somewhat slow *) show ?thesis by (rule finite_imageD [OF 1 2]) qed lemma not_finite_existsD: assumes "\ finite {a. P a}" shows "\a. P a" proof (rule classical) assume "\ ?thesis" with assms show ?thesis by auto qed subsection \Further induction rules on finite sets\ lemma finite_ne_induct [case_names singleton insert, consumes 2]: assumes "finite F" and "F \ {}" assumes "\x. P {x}" and "\x F. finite F \ F \ {} \ x \ F \ P F \ P (insert x F)" shows "P F" using assms proof induct case empty then show ?case by simp next case (insert x F) then show ?case by cases auto qed lemma finite_subset_induct [consumes 2, case_names empty insert]: assumes "finite F" and "F \ A" and empty: "P {}" and insert: "\a F. finite F \ a \ A \ a \ F \ P F \ P (insert a F)" shows "P F" using \finite F\ \F \ A\ proof induct show "P {}" by fact next fix x F assume "finite F" and "x \ F" and P: "F \ A \ P F" and i: "insert x F \ A" show "P (insert x F)" proof (rule insert) from i show "x \ A" by blast from i have "F \ A" by blast with P show "P F" . show "finite F" by fact show "x \ F" by fact qed qed lemma finite_empty_induct: assumes "finite A" and "P A" and remove: "\a A. finite A \ a \ A \ P A \ P (A - {a})" shows "P {}" proof - have "P (A - B)" if "B \ A" for B :: "'a set" proof - from \finite A\ that have "finite B" by (rule rev_finite_subset) from this \B \ A\ show "P (A - B)" proof induct case empty from \P A\ show ?case by simp next case (insert b B) have "P (A - B - {b})" proof (rule remove) from \finite A\ show "finite (A - B)" by induct auto from insert show "b \ A - B" by simp from insert show "P (A - B)" by simp qed also have "A - B - {b} = A - insert b B" by (rule Diff_insert [symmetric]) finally show ?case . qed qed then have "P (A - A)" by blast then show ?thesis by simp qed lemma finite_update_induct [consumes 1, case_names const update]: assumes finite: "finite {a. f a \ c}" and const: "P (\a. c)" and update: "\a b f. finite {a. f a \ c} \ f a = c \ b \ c \ P f \ P (f(a := b))" shows "P f" using finite proof (induct "{a. f a \ c}" arbitrary: f) case empty with const show ?case by simp next case (insert a A) then have "A = {a'. (f(a := c)) a' \ c}" and "f a \ c" by auto with \finite A\ have "finite {a'. (f(a := c)) a' \ c}" by simp have "(f(a := c)) a = c" by simp from insert \A = {a'. (f(a := c)) a' \ c}\ have "P (f(a := c))" by simp with \finite {a'. (f(a := c)) a' \ c}\ \(f(a := c)) a = c\ \f a \ c\ have "P ((f(a := c))(a := f a))" by (rule update) then show ?case by simp qed lemma finite_subset_induct' [consumes 2, case_names empty insert]: assumes "finite F" and "F \ A" and empty: "P {}" and insert: "\a F. \finite F; a \ A; F \ A; a \ F; P F \ \ P (insert a F)" shows "P F" using assms(1,2) proof induct show "P {}" by fact next fix x F assume "finite F" and "x \ F" and P: "F \ A \ P F" and i: "insert x F \ A" show "P (insert x F)" proof (rule insert) from i show "x \ A" by blast from i have "F \ A" by blast with P show "P F" . show "finite F" by fact show "x \ F" by fact show "F \ A" by fact qed qed subsection \Class \finite\\ class finite = assumes finite_UNIV: "finite (UNIV :: 'a set)" begin lemma finite [simp]: "finite (A :: 'a set)" by (rule subset_UNIV finite_UNIV finite_subset)+ lemma finite_code [code]: "finite (A :: 'a set) \ True" by simp end instance prod :: (finite, finite) finite by standard (simp only: UNIV_Times_UNIV [symmetric] finite_cartesian_product finite) lemma inj_graph: "inj (\f. {(x, y). y = f x})" by (rule inj_onI) (auto simp add: set_eq_iff fun_eq_iff) instance "fun" :: (finite, finite) finite proof show "finite (UNIV :: ('a \ 'b) set)" proof (rule finite_imageD) let ?graph = "\f::'a \ 'b. {(x, y). y = f x}" have "range ?graph \ Pow UNIV" by simp moreover have "finite (Pow (UNIV :: ('a * 'b) set))" by (simp only: finite_Pow_iff finite) ultimately show "finite (range ?graph)" by (rule finite_subset) show "inj ?graph" by (rule inj_graph) qed qed instance bool :: finite by standard (simp add: UNIV_bool) instance set :: (finite) finite by standard (simp only: Pow_UNIV [symmetric] finite_Pow_iff finite) instance unit :: finite by standard (simp add: UNIV_unit) instance sum :: (finite, finite) finite by standard (simp only: UNIV_Plus_UNIV [symmetric] finite_Plus finite) subsection \A basic fold functional for finite sets\ text \ The intended behaviour is \fold f z {x\<^sub>1, \, x\<^sub>n} = f x\<^sub>1 (\ (f x\<^sub>n z)\)\ if \f\ is ``left-commutative''. The commutativity requirement is relativised to the carrier set \S\: \ locale comp_fun_commute_on = fixes S :: "'a set" fixes f :: "'a \ 'b \ 'b" assumes comp_fun_commute_on: "x \ S \ y \ S \ f y \ f x = f x \ f y" begin lemma fun_left_comm: "x \ S \ y \ S \ f y (f x z) = f x (f y z)" using comp_fun_commute_on by (simp add: fun_eq_iff) lemma commute_left_comp: "x \ S \ y \ S \ f y \ (f x \ g) = f x \ (f y \ g)" by (simp add: o_assoc comp_fun_commute_on) end inductive fold_graph :: "('a \ 'b \ 'b) \ 'b \ 'a set \ 'b \ bool" for f :: "'a \ 'b \ 'b" and z :: 'b where emptyI [intro]: "fold_graph f z {} z" | insertI [intro]: "x \ A \ fold_graph f z A y \ fold_graph f z (insert x A) (f x y)" inductive_cases empty_fold_graphE [elim!]: "fold_graph f z {} x" lemma fold_graph_closed_lemma: "fold_graph f z A x \ x \ B" if "fold_graph g z A x" "\a b. a \ A \ b \ B \ f a b = g a b" "\a b. a \ A \ b \ B \ g a b \ B" "z \ B" using that(1-3) proof (induction rule: fold_graph.induct) case (insertI x A y) have "fold_graph f z A y" "y \ B" unfolding atomize_conj by (rule insertI.IH) (auto intro: insertI.prems) then have "g x y \ B" and f_eq: "f x y = g x y" by (auto simp: insertI.prems) moreover have "fold_graph f z (insert x A) (f x y)" by (rule fold_graph.insertI; fact) ultimately show ?case by (simp add: f_eq) qed (auto intro!: that) lemma fold_graph_closed_eq: "fold_graph f z A = fold_graph g z A" if "\a b. a \ A \ b \ B \ f a b = g a b" "\a b. a \ A \ b \ B \ g a b \ B" "z \ B" using fold_graph_closed_lemma[of f z A _ B g] fold_graph_closed_lemma[of g z A _ B f] that by auto definition fold :: "('a \ 'b \ 'b) \ 'b \ 'a set \ 'b" where "fold f z A = (if finite A then (THE y. fold_graph f z A y) else z)" lemma fold_closed_eq: "fold f z A = fold g z A" if "\a b. a \ A \ b \ B \ f a b = g a b" "\a b. a \ A \ b \ B \ g a b \ B" "z \ B" unfolding Finite_Set.fold_def by (subst fold_graph_closed_eq[where B=B and g=g]) (auto simp: that) text \ A tempting alternative for the definition is \<^term>\if finite A then THE y. fold_graph f z A y else e\. It allows the removal of finiteness assumptions from the theorems \fold_comm\, \fold_reindex\ and \fold_distrib\. The proofs become ugly. It is not worth the effort. (???) \ lemma finite_imp_fold_graph: "finite A \ \x. fold_graph f z A x" by (induct rule: finite_induct) auto subsubsection \From \<^const>\fold_graph\ to \<^term>\fold\\ context comp_fun_commute_on begin lemma fold_graph_finite: assumes "fold_graph f z A y" shows "finite A" using assms by induct simp_all lemma fold_graph_insertE_aux: assumes "A \ S" assumes "fold_graph f z A y" "a \ A" shows "\y'. y = f a y' \ fold_graph f z (A - {a}) y'" using assms(2-,1) proof (induct set: fold_graph) case emptyI then show ?case by simp next case (insertI x A y) show ?case proof (cases "x = a") case True with insertI show ?thesis by auto next case False then obtain y' where y: "y = f a y'" and y': "fold_graph f z (A - {a}) y'" using insertI by auto from insertI have "x \ S" "a \ S" by auto then have "f x y = f a (f x y')" unfolding y by (intro fun_left_comm; simp) moreover have "fold_graph f z (insert x A - {a}) (f x y')" using y' and \x \ a\ and \x \ A\ by (simp add: insert_Diff_if fold_graph.insertI) ultimately show ?thesis by fast qed qed lemma fold_graph_insertE: assumes "insert x A \ S" assumes "fold_graph f z (insert x A) v" and "x \ A" obtains y where "v = f x y" and "fold_graph f z A y" using assms by (auto dest: fold_graph_insertE_aux[OF \insert x A \ S\ _ insertI1]) lemma fold_graph_determ: assumes "A \ S" assumes "fold_graph f z A x" "fold_graph f z A y" shows "y = x" using assms(2-,1) proof (induct arbitrary: y set: fold_graph) case emptyI then show ?case by fast next case (insertI x A y v) from \insert x A \ S\ and \fold_graph f z (insert x A) v\ and \x \ A\ obtain y' where "v = f x y'" and "fold_graph f z A y'" by (rule fold_graph_insertE) from \fold_graph f z A y'\ insertI have "y' = y" by simp with \v = f x y'\ show "v = f x y" by simp qed lemma fold_equality: "A \ S \ fold_graph f z A y \ fold f z A = y" by (cases "finite A") (auto simp add: fold_def intro: fold_graph_determ dest: fold_graph_finite) lemma fold_graph_fold: assumes "A \ S" assumes "finite A" shows "fold_graph f z A (fold f z A)" proof - from \finite A\ have "\x. fold_graph f z A x" by (rule finite_imp_fold_graph) moreover note fold_graph_determ[OF \A \ S\] ultimately have "\!x. fold_graph f z A x" by (rule ex_ex1I) then have "fold_graph f z A (The (fold_graph f z A))" by (rule theI') with assms show ?thesis by (simp add: fold_def) qed text \The base case for \fold\:\ lemma (in -) fold_infinite [simp]: "\ finite A \ fold f z A = z" by (auto simp: fold_def) lemma (in -) fold_empty [simp]: "fold f z {} = z" by (auto simp: fold_def) text \The various recursion equations for \<^const>\fold\:\ lemma fold_insert [simp]: assumes "insert x A \ S" assumes "finite A" and "x \ A" shows "fold f z (insert x A) = f x (fold f z A)" proof (rule fold_equality[OF \insert x A \ S\]) fix z from \insert x A \ S\ \finite A\ have "fold_graph f z A (fold f z A)" by (blast intro: fold_graph_fold) with \x \ A\ have "fold_graph f z (insert x A) (f x (fold f z A))" by (rule fold_graph.insertI) then show "fold_graph f z (insert x A) (f x (fold f z A))" by simp qed declare (in -) empty_fold_graphE [rule del] fold_graph.intros [rule del] \ \No more proofs involve these.\ lemma fold_fun_left_comm: assumes "insert x A \ S" "finite A" shows "f x (fold f z A) = fold f (f x z) A" using assms(2,1) proof (induct rule: finite_induct) case empty then show ?case by simp next case (insert y F) then have "fold f (f x z) (insert y F) = f y (fold f (f x z) F)" by simp also have "\ = f x (f y (fold f z F))" using insert by (simp add: fun_left_comm[where ?y=x]) also have "\ = f x (fold f z (insert y F))" proof - from insert have "insert y F \ S" by simp from fold_insert[OF this] insert show ?thesis by simp qed finally show ?case .. qed lemma fold_insert2: "insert x A \ S \ finite A \ x \ A \ fold f z (insert x A) = fold f (f x z) A" by (simp add: fold_fun_left_comm) lemma fold_rec: assumes "A \ S" assumes "finite A" and "x \ A" shows "fold f z A = f x (fold f z (A - {x}))" proof - have A: "A = insert x (A - {x})" using \x \ A\ by blast then have "fold f z A = fold f z (insert x (A - {x}))" by simp also have "\ = f x (fold f z (A - {x}))" by (rule fold_insert) (use assms in \auto\) finally show ?thesis . qed lemma fold_insert_remove: assumes "insert x A \ S" assumes "finite A" shows "fold f z (insert x A) = f x (fold f z (A - {x}))" proof - from \finite A\ have "finite (insert x A)" by auto moreover have "x \ insert x A" by auto ultimately have "fold f z (insert x A) = f x (fold f z (insert x A - {x}))" using \insert x A \ S\ by (blast intro: fold_rec) then show ?thesis by simp qed lemma fold_set_union_disj: assumes "A \ S" "B \ S" assumes "finite A" "finite B" "A \ B = {}" shows "Finite_Set.fold f z (A \ B) = Finite_Set.fold f (Finite_Set.fold f z A) B" using \finite B\ assms(1,2,3,5) proof induct case (insert x F) have "fold f z (A \ insert x F) = f x (fold f (fold f z A) F)" using insert by auto also have "\ = fold f (fold f z A) (insert x F)" using insert by (blast intro: fold_insert[symmetric]) finally show ?case . qed simp end text \Other properties of \<^const>\fold\:\ lemma fold_graph_image: assumes "inj_on g A" shows "fold_graph f z (g ` A) = fold_graph (f \ g) z A" proof fix w show "fold_graph f z (g ` A) w = fold_graph (f o g) z A w" proof assume "fold_graph f z (g ` A) w" then show "fold_graph (f \ g) z A w" using assms proof (induct "g ` A" w arbitrary: A) case emptyI then show ?case by (auto intro: fold_graph.emptyI) next case (insertI x A r B) from \inj_on g B\ \x \ A\ \insert x A = image g B\ obtain x' A' where "x' \ A'" and [simp]: "B = insert x' A'" "x = g x'" "A = g ` A'" by (rule inj_img_insertE) from insertI.prems have "fold_graph (f \ g) z A' r" by (auto intro: insertI.hyps) with \x' \ A'\ have "fold_graph (f \ g) z (insert x' A') ((f \ g) x' r)" by (rule fold_graph.insertI) then show ?case by simp qed next assume "fold_graph (f \ g) z A w" then show "fold_graph f z (g ` A) w" using assms proof induct case emptyI then show ?case by (auto intro: fold_graph.emptyI) next case (insertI x A r) from \x \ A\ insertI.prems have "g x \ g ` A" by auto moreover from insertI have "fold_graph f z (g ` A) r" by simp ultimately have "fold_graph f z (insert (g x) (g ` A)) (f (g x) r)" by (rule fold_graph.insertI) then show ?case by simp qed qed qed lemma fold_image: assumes "inj_on g A" shows "fold f z (g ` A) = fold (f \ g) z A" proof (cases "finite A") case False with assms show ?thesis by (auto dest: finite_imageD simp add: fold_def) next case True then show ?thesis by (auto simp add: fold_def fold_graph_image[OF assms]) qed lemma fold_cong: assumes "comp_fun_commute_on S f" "comp_fun_commute_on S g" and "A \ S" "finite A" and cong: "\x. x \ A \ f x = g x" and "s = t" and "A = B" shows "fold f s A = fold g t B" proof - have "fold f s A = fold g s A" using \finite A\ \A \ S\ cong proof (induct A) case empty then show ?case by simp next case insert interpret f: comp_fun_commute_on S f by (fact \comp_fun_commute_on S f\) interpret g: comp_fun_commute_on S g by (fact \comp_fun_commute_on S g\) from insert show ?case by simp qed with assms show ?thesis by simp qed text \A simplified version for idempotent functions:\ locale comp_fun_idem_on = comp_fun_commute_on + assumes comp_fun_idem_on: "x \ S \ f x \ f x = f x" begin lemma fun_left_idem: "x \ S \ f x (f x z) = f x z" using comp_fun_idem_on by (simp add: fun_eq_iff) lemma fold_insert_idem: assumes "insert x A \ S" assumes fin: "finite A" shows "fold f z (insert x A) = f x (fold f z A)" proof cases assume "x \ A" then obtain B where "A = insert x B" and "x \ B" by (rule set_insert) then show ?thesis using assms by (simp add: comp_fun_idem_on fun_left_idem) next assume "x \ A" then show ?thesis using assms by auto qed declare fold_insert [simp del] fold_insert_idem [simp] lemma fold_insert_idem2: "insert x A \ S \ finite A \ fold f z (insert x A) = fold f (f x z) A" by (simp add: fold_fun_left_comm) end subsubsection \Liftings to \comp_fun_commute_on\ etc.\ lemma (in comp_fun_commute_on) comp_comp_fun_commute_on: "range g \ S \ comp_fun_commute_on R (f \ g)" by standard (force intro: comp_fun_commute_on) lemma (in comp_fun_idem_on) comp_comp_fun_idem_on: assumes "range g \ S" shows "comp_fun_idem_on R (f \ g)" proof interpret f_g: comp_fun_commute_on R "f o g" by (fact comp_comp_fun_commute_on[OF \range g \ S\]) show "x \ R \ y \ R \ (f \ g) y \ (f \ g) x = (f \ g) x \ (f \ g) y" for x y by (fact f_g.comp_fun_commute_on) qed (use \range g \ S\ in \force intro: comp_fun_idem_on\) lemma (in comp_fun_commute_on) comp_fun_commute_on_funpow: "comp_fun_commute_on S (\x. f x ^^ g x)" proof fix x y assume "x \ S" "y \ S" show "f y ^^ g y \ f x ^^ g x = f x ^^ g x \ f y ^^ g y" proof (cases "x = y") case True then show ?thesis by simp next case False show ?thesis proof (induct "g x" arbitrary: g) case 0 then show ?case by simp next case (Suc n g) have hyp1: "f y ^^ g y \ f x = f x \ f y ^^ g y" proof (induct "g y" arbitrary: g) case 0 then show ?case by simp next case (Suc n g) define h where "h z = g z - 1" for z with Suc have "n = h y" by simp with Suc have hyp: "f y ^^ h y \ f x = f x \ f y ^^ h y" by auto from Suc h_def have "g y = Suc (h y)" by simp with \x \ S\ \y \ S\ show ?case by (simp add: comp_assoc hyp) (simp add: o_assoc comp_fun_commute_on) qed define h where "h z = (if z = x then g x - 1 else g z)" for z with Suc have "n = h x" by simp with Suc have "f y ^^ h y \ f x ^^ h x = f x ^^ h x \ f y ^^ h y" by auto with False h_def have hyp2: "f y ^^ g y \ f x ^^ h x = f x ^^ h x \ f y ^^ g y" by simp from Suc h_def have "g x = Suc (h x)" by simp then show ?case by (simp del: funpow.simps add: funpow_Suc_right o_assoc hyp2) (simp add: comp_assoc hyp1) qed qed qed subsubsection \\<^term>\UNIV\ as carrier set\ locale comp_fun_commute = fixes f :: "'a \ 'b \ 'b" assumes comp_fun_commute: "f y \ f x = f x \ f y" begin lemma (in -) comp_fun_commute_def': "comp_fun_commute f = comp_fun_commute_on UNIV f" unfolding comp_fun_commute_def comp_fun_commute_on_def by blast text \ We abuse the \rewrites\ functionality of locales to remove trivial assumptions that result from instantiating the carrier set to \<^term>\UNIV\. \ sublocale comp_fun_commute_on UNIV f rewrites "\X. (X \ UNIV) \ True" and "\x. x \ UNIV \ True" and "\P. (True \ P) \ Trueprop P" and "\P Q. (True \ PROP P \ PROP Q) \ (PROP P \ True \ PROP Q)" proof - show "comp_fun_commute_on UNIV f" by standard (simp add: comp_fun_commute) qed simp_all end lemma (in comp_fun_commute) comp_comp_fun_commute: "comp_fun_commute (f o g)" unfolding comp_fun_commute_def' by (fact comp_comp_fun_commute_on) lemma (in comp_fun_commute) comp_fun_commute_funpow: "comp_fun_commute (\x. f x ^^ g x)" unfolding comp_fun_commute_def' by (fact comp_fun_commute_on_funpow) locale comp_fun_idem = comp_fun_commute + assumes comp_fun_idem: "f x o f x = f x" begin lemma (in -) comp_fun_idem_def': "comp_fun_idem f = comp_fun_idem_on UNIV f" unfolding comp_fun_idem_on_def comp_fun_idem_def comp_fun_commute_def' unfolding comp_fun_idem_axioms_def comp_fun_idem_on_axioms_def by blast text \ Again, we abuse the \rewrites\ functionality of locales to remove trivial assumptions that result from instantiating the carrier set to \<^term>\UNIV\. \ sublocale comp_fun_idem_on UNIV f rewrites "\X. (X \ UNIV) \ True" and "\x. x \ UNIV \ True" and "\P. (True \ P) \ Trueprop P" and "\P Q. (True \ PROP P \ PROP Q) \ (PROP P \ True \ PROP Q)" proof - show "comp_fun_idem_on UNIV f" by standard (simp_all add: comp_fun_idem comp_fun_commute) qed simp_all end lemma (in comp_fun_idem) comp_comp_fun_idem: "comp_fun_idem (f o g)" unfolding comp_fun_idem_def' by (fact comp_comp_fun_idem_on) subsubsection \Expressing set operations via \<^const>\fold\\ lemma comp_fun_commute_const: "comp_fun_commute (\_. f)" by standard rule lemma comp_fun_idem_insert: "comp_fun_idem insert" by standard auto lemma comp_fun_idem_remove: "comp_fun_idem Set.remove" by standard auto lemma (in semilattice_inf) comp_fun_idem_inf: "comp_fun_idem inf" by standard (auto simp add: inf_left_commute) lemma (in semilattice_sup) comp_fun_idem_sup: "comp_fun_idem sup" by standard (auto simp add: sup_left_commute) lemma union_fold_insert: assumes "finite A" shows "A \ B = fold insert B A" proof - interpret comp_fun_idem insert by (fact comp_fun_idem_insert) from \finite A\ show ?thesis by (induct A arbitrary: B) simp_all qed lemma minus_fold_remove: assumes "finite A" shows "B - A = fold Set.remove B A" proof - interpret comp_fun_idem Set.remove by (fact comp_fun_idem_remove) from \finite A\ have "fold Set.remove B A = B - A" by (induct A arbitrary: B) auto (* slow *) then show ?thesis .. qed lemma comp_fun_commute_filter_fold: "comp_fun_commute (\x A'. if P x then Set.insert x A' else A')" proof - interpret comp_fun_idem Set.insert by (fact comp_fun_idem_insert) show ?thesis by standard (auto simp: fun_eq_iff) qed lemma Set_filter_fold: assumes "finite A" shows "Set.filter P A = fold (\x A'. if P x then Set.insert x A' else A') {} A" using assms proof - interpret commute_insert: comp_fun_commute "(\x A'. if P x then Set.insert x A' else A')" by (fact comp_fun_commute_filter_fold) from \finite A\ show ?thesis by induct (auto simp add: Set.filter_def) qed lemma inter_Set_filter: assumes "finite B" shows "A \ B = Set.filter (\x. x \ A) B" using assms by induct (auto simp: Set.filter_def) lemma image_fold_insert: assumes "finite A" shows "image f A = fold (\k A. Set.insert (f k) A) {} A" proof - interpret comp_fun_commute "\k A. Set.insert (f k) A" by standard auto show ?thesis using assms by (induct A) auto qed lemma Ball_fold: assumes "finite A" shows "Ball A P = fold (\k s. s \ P k) True A" proof - interpret comp_fun_commute "\k s. s \ P k" by standard auto show ?thesis using assms by (induct A) auto qed lemma Bex_fold: assumes "finite A" shows "Bex A P = fold (\k s. s \ P k) False A" proof - interpret comp_fun_commute "\k s. s \ P k" by standard auto show ?thesis using assms by (induct A) auto qed lemma comp_fun_commute_Pow_fold: "comp_fun_commute (\x A. A \ Set.insert x ` A)" by (clarsimp simp: fun_eq_iff comp_fun_commute_def) blast lemma Pow_fold: assumes "finite A" shows "Pow A = fold (\x A. A \ Set.insert x ` A) {{}} A" proof - interpret comp_fun_commute "\x A. A \ Set.insert x ` A" by (rule comp_fun_commute_Pow_fold) show ?thesis using assms by (induct A) (auto simp: Pow_insert) qed lemma fold_union_pair: assumes "finite B" shows "(\y\B. {(x, y)}) \ A = fold (\y. Set.insert (x, y)) A B" proof - interpret comp_fun_commute "\y. Set.insert (x, y)" by standard auto show ?thesis using assms by (induct arbitrary: A) simp_all qed lemma comp_fun_commute_product_fold: "finite B \ comp_fun_commute (\x z. fold (\y. Set.insert (x, y)) z B)" by standard (auto simp: fold_union_pair [symmetric]) lemma product_fold: assumes "finite A" "finite B" shows "A \ B = fold (\x z. fold (\y. Set.insert (x, y)) z B) {} A" proof - interpret commute_product: comp_fun_commute "(\x z. fold (\y. Set.insert (x, y)) z B)" by (fact comp_fun_commute_product_fold[OF \finite B\]) from assms show ?thesis unfolding Sigma_def by (induct A) (simp_all add: fold_union_pair) qed context complete_lattice begin lemma inf_Inf_fold_inf: assumes "finite A" shows "inf (Inf A) B = fold inf B A" proof - interpret comp_fun_idem inf by (fact comp_fun_idem_inf) from \finite A\ fold_fun_left_comm show ?thesis by (induct A arbitrary: B) (simp_all add: inf_commute fun_eq_iff) qed lemma sup_Sup_fold_sup: assumes "finite A" shows "sup (Sup A) B = fold sup B A" proof - interpret comp_fun_idem sup by (fact comp_fun_idem_sup) from \finite A\ fold_fun_left_comm show ?thesis by (induct A arbitrary: B) (simp_all add: sup_commute fun_eq_iff) qed lemma Inf_fold_inf: "finite A \ Inf A = fold inf top A" using inf_Inf_fold_inf [of A top] by (simp add: inf_absorb2) lemma Sup_fold_sup: "finite A \ Sup A = fold sup bot A" using sup_Sup_fold_sup [of A bot] by (simp add: sup_absorb2) lemma inf_INF_fold_inf: assumes "finite A" shows "inf B (\(f ` A)) = fold (inf \ f) B A" (is "?inf = ?fold") proof - interpret comp_fun_idem inf by (fact comp_fun_idem_inf) interpret comp_fun_idem "inf \ f" by (fact comp_comp_fun_idem) from \finite A\ have "?fold = ?inf" by (induct A arbitrary: B) (simp_all add: inf_left_commute) then show ?thesis .. qed lemma sup_SUP_fold_sup: assumes "finite A" shows "sup B (\(f ` A)) = fold (sup \ f) B A" (is "?sup = ?fold") proof - interpret comp_fun_idem sup by (fact comp_fun_idem_sup) interpret comp_fun_idem "sup \ f" by (fact comp_comp_fun_idem) from \finite A\ have "?fold = ?sup" by (induct A arbitrary: B) (simp_all add: sup_left_commute) then show ?thesis .. qed lemma INF_fold_inf: "finite A \ \(f ` A) = fold (inf \ f) top A" using inf_INF_fold_inf [of A top] by simp lemma SUP_fold_sup: "finite A \ \(f ` A) = fold (sup \ f) bot A" using sup_SUP_fold_sup [of A bot] by simp lemma finite_Inf_in: assumes "finite A" "A\{}" and inf: "\x y. \x \ A; y \ A\ \ inf x y \ A" shows "Inf A \ A" proof - have "Inf B \ A" if "B \ A" "B\{}" for B using finite_subset [OF \B \ A\ \finite A\] that by (induction B) (use inf in \force+\) then show ?thesis by (simp add: assms) qed lemma finite_Sup_in: assumes "finite A" "A\{}" and sup: "\x y. \x \ A; y \ A\ \ sup x y \ A" shows "Sup A \ A" proof - have "Sup B \ A" if "B \ A" "B\{}" for B using finite_subset [OF \B \ A\ \finite A\] that by (induction B) (use sup in \force+\) then show ?thesis by (simp add: assms) qed end subsection \Locales as mini-packages for fold operations\ subsubsection \The natural case\ locale folding_on = fixes S :: "'a set" fixes f :: "'a \ 'b \ 'b" and z :: "'b" assumes comp_fun_commute_on: "x \ S \ y \ S \ f y o f x = f x o f y" begin interpretation fold?: comp_fun_commute_on S f by standard (simp add: comp_fun_commute_on) definition F :: "'a set \ 'b" where eq_fold: "F A = Finite_Set.fold f z A" lemma empty [simp]: "F {} = z" by (simp add: eq_fold) lemma infinite [simp]: "\ finite A \ F A = z" by (simp add: eq_fold) lemma insert [simp]: assumes "insert x A \ S" and "finite A" and "x \ A" shows "F (insert x A) = f x (F A)" proof - from fold_insert assms have "Finite_Set.fold f z (insert x A) = f x (Finite_Set.fold f z A)" by simp with \finite A\ show ?thesis by (simp add: eq_fold fun_eq_iff) qed lemma remove: assumes "A \ S" and "finite A" and "x \ A" shows "F A = f x (F (A - {x}))" proof - from \x \ A\ obtain B where A: "A = insert x B" and "x \ B" by (auto dest: mk_disjoint_insert) moreover from \finite A\ A have "finite B" by simp ultimately show ?thesis using \A \ S\ by auto qed lemma insert_remove: assumes "insert x A \ S" and "finite A" shows "F (insert x A) = f x (F (A - {x}))" using assms by (cases "x \ A") (simp_all add: remove insert_absorb) end subsubsection \With idempotency\ locale folding_idem_on = folding_on + assumes comp_fun_idem_on: "x \ S \ y \ S \ f x \ f x = f x" begin declare insert [simp del] interpretation fold?: comp_fun_idem_on S f by standard (simp_all add: comp_fun_commute_on comp_fun_idem_on) lemma insert_idem [simp]: assumes "insert x A \ S" and "finite A" shows "F (insert x A) = f x (F A)" proof - from fold_insert_idem assms have "fold f z (insert x A) = f x (fold f z A)" by simp with \finite A\ show ?thesis by (simp add: eq_fold fun_eq_iff) qed end subsubsection \\<^term>\UNIV\ as the carrier set\ locale folding = fixes f :: "'a \ 'b \ 'b" and z :: "'b" assumes comp_fun_commute: "f y \ f x = f x \ f y" begin lemma (in -) folding_def': "folding f = folding_on UNIV f" unfolding folding_def folding_on_def by blast text \ Again, we abuse the \rewrites\ functionality of locales to remove trivial assumptions that result from instantiating the carrier set to \<^term>\UNIV\. \ sublocale folding_on UNIV f rewrites "\X. (X \ UNIV) \ True" and "\x. x \ UNIV \ True" and "\P. (True \ P) \ Trueprop P" and "\P Q. (True \ PROP P \ PROP Q) \ (PROP P \ True \ PROP Q)" proof - show "folding_on UNIV f" by standard (simp add: comp_fun_commute) qed simp_all end locale folding_idem = folding + assumes comp_fun_idem: "f x \ f x = f x" begin lemma (in -) folding_idem_def': "folding_idem f = folding_idem_on UNIV f" unfolding folding_idem_def folding_def' folding_idem_on_def unfolding folding_idem_axioms_def folding_idem_on_axioms_def by blast text \ Again, we abuse the \rewrites\ functionality of locales to remove trivial assumptions that result from instantiating the carrier set to \<^term>\UNIV\. \ sublocale folding_idem_on UNIV f rewrites "\X. (X \ UNIV) \ True" and "\x. x \ UNIV \ True" and "\P. (True \ P) \ Trueprop P" and "\P Q. (True \ PROP P \ PROP Q) \ (PROP P \ True \ PROP Q)" proof - show "folding_idem_on UNIV f" by standard (simp add: comp_fun_idem) qed simp_all end subsection \Finite cardinality\ text \ The traditional definition \<^prop>\card A \ LEAST n. \f. A = {f i |i. i < n}\ is ugly to work with. But now that we have \<^const>\fold\ things are easy: \ global_interpretation card: folding "\_. Suc" 0 defines card = "folding_on.F (\_. Suc) 0" by standard rule lemma card_insert_disjoint: "finite A \ x \ A \ card (insert x A) = Suc (card A)" by (fact card.insert) lemma card_insert_if: "finite A \ card (insert x A) = (if x \ A then card A else Suc (card A))" by auto (simp add: card.insert_remove card.remove) lemma card_ge_0_finite: "card A > 0 \ finite A" by (rule ccontr) simp lemma card_0_eq [simp]: "finite A \ card A = 0 \ A = {}" by (auto dest: mk_disjoint_insert) lemma finite_UNIV_card_ge_0: "finite (UNIV :: 'a set) \ card (UNIV :: 'a set) > 0" by (rule ccontr) simp lemma card_eq_0_iff: "card A = 0 \ A = {} \ \ finite A" by auto lemma card_range_greater_zero: "finite (range f) \ card (range f) > 0" by (rule ccontr) (simp add: card_eq_0_iff) lemma card_gt_0_iff: "0 < card A \ A \ {} \ finite A" by (simp add: neq0_conv [symmetric] card_eq_0_iff) lemma card_Suc_Diff1: assumes "finite A" "x \ A" shows "Suc (card (A - {x})) = card A" proof - have "Suc (card (A - {x})) = card (insert x (A - {x}))" using assms by (simp add: card.insert_remove) also have "... = card A" using assms by (simp add: card_insert_if) finally show ?thesis . qed lemma card_insert_le_m1: assumes "n > 0" "card y \ n - 1" shows "card (insert x y) \ n" using assms by (cases "finite y") (auto simp: card_insert_if) lemma card_Diff_singleton: assumes "x \ A" shows "card (A - {x}) = card A - 1" proof (cases "finite A") case True with assms show ?thesis by (simp add: card_Suc_Diff1 [symmetric]) qed auto lemma card_Diff_singleton_if: "card (A - {x}) = (if x \ A then card A - 1 else card A)" by (simp add: card_Diff_singleton) lemma card_Diff_insert[simp]: assumes "a \ A" and "a \ B" shows "card (A - insert a B) = card (A - B) - 1" proof - have "A - insert a B = (A - B) - {a}" using assms by blast then show ?thesis using assms by (simp add: card_Diff_singleton) qed lemma card_insert_le: "card A \ card (insert x A)" proof (cases "finite A") case True then show ?thesis by (simp add: card_insert_if) qed auto lemma card_Collect_less_nat[simp]: "card {i::nat. i < n} = n" by (induct n) (simp_all add:less_Suc_eq Collect_disj_eq) lemma card_Collect_le_nat[simp]: "card {i::nat. i \ n} = Suc n" using card_Collect_less_nat[of "Suc n"] by (simp add: less_Suc_eq_le) lemma card_mono: assumes "finite B" and "A \ B" shows "card A \ card B" proof - from assms have "finite A" by (auto intro: finite_subset) then show ?thesis using assms proof (induct A arbitrary: B) case empty then show ?case by simp next case (insert x A) then have "x \ B" by simp from insert have "A \ B - {x}" and "finite (B - {x})" by auto with insert.hyps have "card A \ card (B - {x})" by auto with \finite A\ \x \ A\ \finite B\ \x \ B\ show ?case by simp (simp only: card.remove) qed qed lemma card_seteq: assumes "finite B" and A: "A \ B" "card B \ card A" shows "A = B" using assms proof (induction arbitrary: A rule: finite_induct) case (insert b B) then have A: "finite A" "A - {b} \ B" by force+ then have "card B \ card (A - {b})" using insert by (auto simp add: card_Diff_singleton_if) then have "A - {b} = B" using A insert.IH by auto then show ?case using insert.hyps insert.prems by auto qed auto lemma psubset_card_mono: "finite B \ A < B \ card A < card B" using card_seteq [of B A] by (auto simp add: psubset_eq) lemma card_Un_Int: assumes "finite A" "finite B" shows "card A + card B = card (A \ B) + card (A \ B)" using assms proof (induct A) case empty then show ?case by simp next case insert then show ?case by (auto simp add: insert_absorb Int_insert_left) qed lemma card_Un_disjoint: "finite A \ finite B \ A \ B = {} \ card (A \ B) = card A + card B" using card_Un_Int [of A B] by simp lemma card_Un_disjnt: "\finite A; finite B; disjnt A B\ \ card (A \ B) = card A + card B" by (simp add: card_Un_disjoint disjnt_def) lemma card_Un_le: "card (A \ B) \ card A + card B" proof (cases "finite A \ finite B") case True then show ?thesis using le_iff_add card_Un_Int [of A B] by auto qed auto lemma card_Diff_subset: assumes "finite B" and "B \ A" shows "card (A - B) = card A - card B" using assms proof (cases "finite A") case False with assms show ?thesis by simp next case True with assms show ?thesis by (induct B arbitrary: A) simp_all qed lemma card_Diff_subset_Int: assumes "finite (A \ B)" shows "card (A - B) = card A - card (A \ B)" proof - have "A - B = A - A \ B" by auto with assms show ?thesis by (simp add: card_Diff_subset) qed lemma diff_card_le_card_Diff: assumes "finite B" shows "card A - card B \ card (A - B)" proof - have "card A - card B \ card A - card (A \ B)" using card_mono[OF assms Int_lower2, of A] by arith also have "\ = card (A - B)" using assms by (simp add: card_Diff_subset_Int) finally show ?thesis . qed lemma card_le_sym_Diff: assumes "finite A" "finite B" "card A \ card B" shows "card(A - B) \ card(B - A)" proof - have "card(A - B) = card A - card (A \ B)" using assms(1,2) by(simp add: card_Diff_subset_Int) also have "\ \ card B - card (A \ B)" using assms(3) by linarith also have "\ = card(B - A)" using assms(1,2) by(simp add: card_Diff_subset_Int Int_commute) finally show ?thesis . qed lemma card_less_sym_Diff: assumes "finite A" "finite B" "card A < card B" shows "card(A - B) < card(B - A)" proof - have "card(A - B) = card A - card (A \ B)" using assms(1,2) by(simp add: card_Diff_subset_Int) also have "\ < card B - card (A \ B)" using assms(1,3) by (simp add: card_mono diff_less_mono) also have "\ = card(B - A)" using assms(1,2) by(simp add: card_Diff_subset_Int Int_commute) finally show ?thesis . qed lemma card_Diff1_less_iff: "card (A - {x}) < card A \ finite A \ x \ A" proof (cases "finite A \ x \ A") case True then show ?thesis by (auto simp: card_gt_0_iff intro: diff_less) qed auto lemma card_Diff1_less: "finite A \ x \ A \ card (A - {x}) < card A" unfolding card_Diff1_less_iff by auto lemma card_Diff2_less: assumes "finite A" "x \ A" "y \ A" shows "card (A - {x} - {y}) < card A" proof (cases "x = y") case True with assms show ?thesis by (simp add: card_Diff1_less del: card_Diff_insert) next case False then have "card (A - {x} - {y}) < card (A - {x})" "card (A - {x}) < card A" using assms by (intro card_Diff1_less; simp)+ then show ?thesis by (blast intro: less_trans) qed lemma card_Diff1_le: "card (A - {x}) \ card A" proof (cases "finite A") case True then show ?thesis by (cases "x \ A") (simp_all add: card_Diff1_less less_imp_le) qed auto lemma card_psubset: "finite B \ A \ B \ card A < card B \ A < B" by (erule psubsetI) blast lemma card_le_inj: assumes fA: "finite A" and fB: "finite B" and c: "card A \ card B" shows "\f. f ` A \ B \ inj_on f A" using fA fB c proof (induct arbitrary: B rule: finite_induct) case empty then show ?case by simp next case (insert x s t) then show ?case proof (induct rule: finite_induct [OF insert.prems(1)]) case 1 then show ?case by simp next case (2 y t) from "2.prems"(1,2,5) "2.hyps"(1,2) have cst: "card s \ card t" by simp from "2.prems"(3) [OF "2.hyps"(1) cst] obtain f where "f ` s \ t" "inj_on f s" by blast with "2.prems"(2) "2.hyps"(2) show ?case unfolding inj_on_def by (rule_tac x = "\z. if z = x then y else f z" in exI) auto qed qed lemma card_subset_eq: assumes fB: "finite B" and AB: "A \ B" and c: "card A = card B" shows "A = B" proof - from fB AB have fA: "finite A" by (auto intro: finite_subset) from fA fB have fBA: "finite (B - A)" by auto have e: "A \ (B - A) = {}" by blast have eq: "A \ (B - A) = B" using AB by blast from card_Un_disjoint[OF fA fBA e, unfolded eq c] have "card (B - A) = 0" by arith then have "B - A = {}" unfolding card_eq_0_iff using fA fB by simp with AB show "A = B" by blast qed lemma insert_partition: "x \ F \ \c1 \ insert x F. \c2 \ insert x F. c1 \ c2 \ c1 \ c2 = {} \ x \ \F = {}" by auto lemma finite_psubset_induct [consumes 1, case_names psubset]: assumes finite: "finite A" and major: "\A. finite A \ (\B. B \ A \ P B) \ P A" shows "P A" using finite proof (induct A taking: card rule: measure_induct_rule) case (less A) have fin: "finite A" by fact have ih: "card B < card A \ finite B \ P B" for B by fact have "P B" if "B \ A" for B proof - from that have "card B < card A" using psubset_card_mono fin by blast moreover from that have "B \ A" by auto then have "finite B" using fin finite_subset by blast ultimately show ?thesis using ih by simp qed with fin show "P A" using major by blast qed lemma finite_induct_select [consumes 1, case_names empty select]: assumes "finite S" and "P {}" and select: "\T. T \ S \ P T \ \s\S - T. P (insert s T)" shows "P S" proof - have "0 \ card S" by simp then have "\T \ S. card T = card S \ P T" proof (induct rule: dec_induct) case base with \P {}\ show ?case by (intro exI[of _ "{}"]) auto next case (step n) then obtain T where T: "T \ S" "card T = n" "P T" by auto with \n < card S\ have "T \ S" "P T" by auto with select[of T] obtain s where "s \ S" "s \ T" "P (insert s T)" by auto with step(2) T \finite S\ show ?case by (intro exI[of _ "insert s T"]) (auto dest: finite_subset) qed with \finite S\ show "P S" by (auto dest: card_subset_eq) qed lemma remove_induct [case_names empty infinite remove]: assumes empty: "P ({} :: 'a set)" and infinite: "\ finite B \ P B" and remove: "\A. finite A \ A \ {} \ A \ B \ (\x. x \ A \ P (A - {x})) \ P A" shows "P B" proof (cases "finite B") case False then show ?thesis by (rule infinite) next case True define A where "A = B" with True have "finite A" "A \ B" by simp_all then show "P A" proof (induct "card A" arbitrary: A) case 0 then have "A = {}" by auto with empty show ?case by simp next case (Suc n A) from \A \ B\ and \finite B\ have "finite A" by (rule finite_subset) moreover from Suc.hyps have "A \ {}" by auto moreover note \A \ B\ moreover have "P (A - {x})" if x: "x \ A" for x using x Suc.prems \Suc n = card A\ by (intro Suc) auto ultimately show ?case by (rule remove) qed qed lemma finite_remove_induct [consumes 1, case_names empty remove]: fixes P :: "'a set \ bool" assumes "finite B" and "P {}" and "\A. finite A \ A \ {} \ A \ B \ (\x. x \ A \ P (A - {x})) \ P A" defines "B' \ B" shows "P B'" by (induct B' rule: remove_induct) (simp_all add: assms) text \Main cardinality theorem.\ lemma card_partition [rule_format]: "finite C \ finite (\C) \ (\c\C. card c = k) \ (\c1 \ C. \c2 \ C. c1 \ c2 \ c1 \ c2 = {}) \ k * card C = card (\C)" proof (induct rule: finite_induct) case empty then show ?case by simp next case (insert x F) then show ?case by (simp add: card_Un_disjoint insert_partition finite_subset [of _ "\(insert _ _)"]) qed lemma card_eq_UNIV_imp_eq_UNIV: assumes fin: "finite (UNIV :: 'a set)" and card: "card A = card (UNIV :: 'a set)" shows "A = (UNIV :: 'a set)" proof show "A \ UNIV" by simp show "UNIV \ A" proof show "x \ A" for x proof (rule ccontr) assume "x \ A" then have "A \ UNIV" by auto with fin have "card A < card (UNIV :: 'a set)" by (fact psubset_card_mono) with card show False by simp qed qed qed text \The form of a finite set of given cardinality\ lemma card_eq_SucD: assumes "card A = Suc k" shows "\b B. A = insert b B \ b \ B \ card B = k \ (k = 0 \ B = {})" proof - have fin: "finite A" using assms by (auto intro: ccontr) moreover have "card A \ 0" using assms by auto ultimately obtain b where b: "b \ A" by auto show ?thesis proof (intro exI conjI) show "A = insert b (A - {b})" using b by blast show "b \ A - {b}" by blast show "card (A - {b}) = k" and "k = 0 \ A - {b} = {}" using assms b fin by (fastforce dest: mk_disjoint_insert)+ qed qed lemma card_Suc_eq: "card A = Suc k \ (\b B. A = insert b B \ b \ B \ card B = k \ (k = 0 \ B = {}))" by (auto simp: card_insert_if card_gt_0_iff elim!: card_eq_SucD) lemma card_Suc_eq_finite: "card A = Suc k \ (\b B. A = insert b B \ b \ B \ card B = k \ finite B)" unfolding card_Suc_eq using card_gt_0_iff by fastforce lemma card_1_singletonE: assumes "card A = 1" obtains x where "A = {x}" using assms by (auto simp: card_Suc_eq) lemma is_singleton_altdef: "is_singleton A \ card A = 1" unfolding is_singleton_def by (auto elim!: card_1_singletonE is_singletonE simp del: One_nat_def) lemma card_1_singleton_iff: "card A = Suc 0 \ (\x. A = {x})" by (simp add: card_Suc_eq) lemma card_le_Suc0_iff_eq: assumes "finite A" shows "card A \ Suc 0 \ (\a1 \ A. \a2 \ A. a1 = a2)" (is "?C = ?A") proof assume ?C thus ?A using assms by (auto simp: le_Suc_eq dest: card_eq_SucD) next assume ?A show ?C proof cases assume "A = {}" thus ?C using \?A\ by simp next assume "A \ {}" then obtain a where "A = {a}" using \?A\ by blast thus ?C by simp qed qed lemma card_le_Suc_iff: "Suc n \ card A = (\a B. A = insert a B \ a \ B \ n \ card B \ finite B)" proof (cases "finite A") case True then show ?thesis by (fastforce simp: card_Suc_eq less_eq_nat.simps split: nat.splits) qed auto lemma finite_fun_UNIVD2: assumes fin: "finite (UNIV :: ('a \ 'b) set)" shows "finite (UNIV :: 'b set)" proof - from fin have "finite (range (\f :: 'a \ 'b. f arbitrary))" for arbitrary by (rule finite_imageI) moreover have "UNIV = range (\f :: 'a \ 'b. f arbitrary)" for arbitrary by (rule UNIV_eq_I) auto ultimately show "finite (UNIV :: 'b set)" by simp qed lemma card_UNIV_unit [simp]: "card (UNIV :: unit set) = 1" unfolding UNIV_unit by simp lemma infinite_arbitrarily_large: assumes "\ finite A" shows "\B. finite B \ card B = n \ B \ A" proof (induction n) case 0 show ?case by (intro exI[of _ "{}"]) auto next case (Suc n) then obtain B where B: "finite B \ card B = n \ B \ A" .. with \\ finite A\ have "A \ B" by auto with B have "B \ A" by auto then have "\x. x \ A - B" by (elim psubset_imp_ex_mem) then obtain x where x: "x \ A - B" .. with B have "finite (insert x B) \ card (insert x B) = Suc n \ insert x B \ A" by auto then show "\B. finite B \ card B = Suc n \ B \ A" .. qed text \Sometimes, to prove that a set is finite, it is convenient to work with finite subsets and to show that their cardinalities are uniformly bounded. This possibility is formalized in the next criterion.\ lemma finite_if_finite_subsets_card_bdd: assumes "\G. G \ F \ finite G \ card G \ C" shows "finite F \ card F \ C" proof (cases "finite F") case False obtain n::nat where n: "n > max C 0" by auto obtain G where G: "G \ F" "card G = n" using infinite_arbitrarily_large[OF False] by auto hence "finite G" using \n > max C 0\ using card.infinite gr_implies_not0 by blast hence False using assms G n not_less by auto thus ?thesis .. next case True thus ?thesis using assms[of F] by auto qed +lemma obtain_subset_with_card_n: + assumes "n \ card S" + obtains T where "T \ S" "card T = n" "finite T" +proof - + obtain n' where "card S = n + n'" + using le_Suc_ex[OF assms] by blast + with that show thesis + proof (induct n' arbitrary: S) + case 0 + thus ?case by (cases "finite S") auto + next + case Suc + thus ?case by (auto simp add: card_Suc_eq) + qed +qed + +lemma exists_subset_between: + assumes + "card A \ n" + "n \ card C" + "A \ C" + "finite C" + shows "\B. A \ B \ B \ C \ card B = n" + using assms +proof (induct n arbitrary: A C) + case 0 + thus ?case using finite_subset[of A C] by (intro exI[of _ "{}"], auto) +next + case (Suc n A C) + show ?case + proof (cases "A = {}") + case True + from obtain_subset_with_card_n[OF Suc(3)] + obtain B where "B \ C" "card B = Suc n" by blast + thus ?thesis unfolding True by blast + next + case False + then obtain a where a: "a \ A" by auto + let ?A = "A - {a}" + let ?C = "C - {a}" + have 1: "card ?A \ n" using Suc(2-) a + using finite_subset by fastforce + have 2: "card ?C \ n" using Suc(2-) a by auto + from Suc(1)[OF 1 2 _ finite_subset[OF _ Suc(5)]] Suc(2-) + obtain B where "?A \ B" "B \ ?C" "card B = n" by blast + thus ?thesis using a Suc(2-) + by (intro exI[of _ "insert a B"], auto intro!: card_insert_disjoint finite_subset[of B C]) + qed +qed + subsubsection \Cardinality of image\ lemma card_image_le: "finite A \ card (f ` A) \ card A" by (induct rule: finite_induct) (simp_all add: le_SucI card_insert_if) lemma card_image: "inj_on f A \ card (f ` A) = card A" proof (induct A rule: infinite_finite_induct) case (infinite A) then have "\ finite (f ` A)" by (auto dest: finite_imageD) with infinite show ?case by simp qed simp_all lemma bij_betw_same_card: "bij_betw f A B \ card A = card B" by (auto simp: card_image bij_betw_def) lemma endo_inj_surj: "finite A \ f ` A \ A \ inj_on f A \ f ` A = A" by (simp add: card_seteq card_image) lemma eq_card_imp_inj_on: assumes "finite A" "card(f ` A) = card A" shows "inj_on f A" using assms proof (induct rule:finite_induct) case empty show ?case by simp next case (insert x A) then show ?case using card_image_le [of A f] by (simp add: card_insert_if split: if_splits) qed lemma inj_on_iff_eq_card: "finite A \ inj_on f A \ card (f ` A) = card A" by (blast intro: card_image eq_card_imp_inj_on) lemma card_inj_on_le: assumes "inj_on f A" "f ` A \ B" "finite B" shows "card A \ card B" proof - have "finite A" using assms by (blast intro: finite_imageD dest: finite_subset) then show ?thesis using assms by (force intro: card_mono simp: card_image [symmetric]) qed lemma inj_on_iff_card_le: "\ finite A; finite B \ \ (\f. inj_on f A \ f ` A \ B) = (card A \ card B)" using card_inj_on_le[of _ A B] card_le_inj[of A B] by blast lemma surj_card_le: "finite A \ B \ f ` A \ card B \ card A" by (blast intro: card_image_le card_mono le_trans) lemma card_bij_eq: "inj_on f A \ f ` A \ B \ inj_on g B \ g ` B \ A \ finite A \ finite B \ card A = card B" by (auto intro: le_antisym card_inj_on_le) lemma bij_betw_finite: "bij_betw f A B \ finite A \ finite B" unfolding bij_betw_def using finite_imageD [of f A] by auto lemma inj_on_finite: "inj_on f A \ f ` A \ B \ finite B \ finite A" using finite_imageD finite_subset by blast lemma card_vimage_inj_on_le: assumes "inj_on f D" "finite A" shows "card (f-`A \ D) \ card A" proof (rule card_inj_on_le) show "inj_on f (f -` A \ D)" by (blast intro: assms inj_on_subset) qed (use assms in auto) lemma card_vimage_inj: "inj f \ A \ range f \ card (f -` A) = card A" by (auto 4 3 simp: subset_image_iff inj_vimage_image_eq intro: card_image[symmetric, OF subset_inj_on]) subsubsection \Pigeonhole Principles\ lemma pigeonhole: "card A > card (f ` A) \ \ inj_on f A " by (auto dest: card_image less_irrefl_nat) lemma pigeonhole_infinite: assumes "\ finite A" and "finite (f`A)" shows "\a0\A. \ finite {a\A. f a = f a0}" using assms(2,1) proof (induct "f`A" arbitrary: A rule: finite_induct) case empty then show ?case by simp next case (insert b F) show ?case proof (cases "finite {a\A. f a = b}") case True with \\ finite A\ have "\ finite (A - {a\A. f a = b})" by simp also have "A - {a\A. f a = b} = {a\A. f a \ b}" by blast finally have "\ finite {a\A. f a \ b}" . from insert(3)[OF _ this] insert(2,4) show ?thesis by simp (blast intro: rev_finite_subset) next case False then have "{a \ A. f a = b} \ {}" by force with False show ?thesis by blast qed qed lemma pigeonhole_infinite_rel: assumes "\ finite A" and "finite B" and "\a\A. \b\B. R a b" shows "\b\B. \ finite {a:A. R a b}" proof - let ?F = "\a. {b\B. R a b}" from finite_Pow_iff[THEN iffD2, OF \finite B\] have "finite (?F ` A)" by (blast intro: rev_finite_subset) from pigeonhole_infinite [where f = ?F, OF assms(1) this] obtain a0 where "a0 \ A" and infinite: "\ finite {a\A. ?F a = ?F a0}" .. obtain b0 where "b0 \ B" and "R a0 b0" using \a0 \ A\ assms(3) by blast have "finite {a\A. ?F a = ?F a0}" if "finite {a\A. R a b0}" using \b0 \ B\ \R a0 b0\ that by (blast intro: rev_finite_subset) with infinite \b0 \ B\ show ?thesis by blast qed subsubsection \Cardinality of sums\ lemma card_Plus: assumes "finite A" "finite B" shows "card (A <+> B) = card A + card B" proof - have "Inl`A \ Inr`B = {}" by fast with assms show ?thesis by (simp add: Plus_def card_Un_disjoint card_image) qed lemma card_Plus_conv_if: "card (A <+> B) = (if finite A \ finite B then card A + card B else 0)" by (auto simp add: card_Plus) text \Relates to equivalence classes. Based on a theorem of F. Kammüller.\ lemma dvd_partition: assumes f: "finite (\C)" and "\c\C. k dvd card c" "\c1\C. \c2\C. c1 \ c2 \ c1 \ c2 = {}" shows "k dvd card (\C)" proof - have "finite C" by (rule finite_UnionD [OF f]) then show ?thesis using assms proof (induct rule: finite_induct) case empty show ?case by simp next case (insert c C) then have "c \ \C = {}" by auto with insert show ?case by (simp add: card_Un_disjoint) qed qed subsubsection \Finite orders\ context order begin lemma finite_has_maximal: "\ finite A; A \ {} \ \ \ m \ A. \ b \ A. m \ b \ m = b" proof (induction rule: finite_psubset_induct) case (psubset A) from \A \ {}\ obtain a where "a \ A" by auto let ?B = "{b \ A. a < b}" show ?case proof cases assume "?B = {}" hence "\ b \ A. a \ b \ a = b" using le_neq_trans by blast thus ?thesis using \a \ A\ by blast next assume "?B \ {}" have "a \ ?B" by auto hence "?B \ A" using \a \ A\ by blast from psubset.IH[OF this \?B \ {}\] show ?thesis using order.strict_trans2 by blast qed qed lemma finite_has_maximal2: "\ finite A; a \ A \ \ \ m \ A. a \ m \ (\ b \ A. m \ b \ m = b)" using finite_has_maximal[of "{b \ A. a \ b}"] by fastforce lemma finite_has_minimal: "\ finite A; A \ {} \ \ \ m \ A. \ b \ A. b \ m \ m = b" proof (induction rule: finite_psubset_induct) case (psubset A) from \A \ {}\ obtain a where "a \ A" by auto let ?B = "{b \ A. b < a}" show ?case proof cases assume "?B = {}" hence "\ b \ A. b \ a \ a = b" using le_neq_trans by blast thus ?thesis using \a \ A\ by blast next assume "?B \ {}" have "a \ ?B" by auto hence "?B \ A" using \a \ A\ by blast from psubset.IH[OF this \?B \ {}\] show ?thesis using order.strict_trans1 by blast qed qed lemma finite_has_minimal2: "\ finite A; a \ A \ \ \ m \ A. m \ a \ (\ b \ A. b \ m \ m = b)" using finite_has_minimal[of "{b \ A. b \ a}"] by fastforce end subsubsection \Relating injectivity and surjectivity\ lemma finite_surj_inj: assumes "finite A" "A \ f ` A" shows "inj_on f A" proof - have "f ` A = A" by (rule card_seteq [THEN sym]) (auto simp add: assms card_image_le) then show ?thesis using assms by (simp add: eq_card_imp_inj_on) qed lemma finite_UNIV_surj_inj: "finite(UNIV:: 'a set) \ surj f \ inj f" for f :: "'a \ 'a" by (blast intro: finite_surj_inj subset_UNIV) lemma finite_UNIV_inj_surj: "finite(UNIV:: 'a set) \ inj f \ surj f" for f :: "'a \ 'a" by (fastforce simp:surj_def dest!: endo_inj_surj) lemma surjective_iff_injective_gen: assumes fS: "finite S" and fT: "finite T" and c: "card S = card T" and ST: "f ` S \ T" shows "(\y \ T. \x \ S. f x = y) \ inj_on f S" (is "?lhs \ ?rhs") proof assume h: "?lhs" { fix x y assume x: "x \ S" assume y: "y \ S" assume f: "f x = f y" from x fS have S0: "card S \ 0" by auto have "x = y" proof (rule ccontr) assume xy: "\ ?thesis" have th: "card S \ card (f ` (S - {y}))" unfolding c proof (rule card_mono) show "finite (f ` (S - {y}))" by (simp add: fS) have "\x \ y; x \ S; z \ S; f x = f y\ \ \x \ S. x \ y \ f z = f x" for z by (case_tac "z = y \ z = x") auto then show "T \ f ` (S - {y})" using h xy x y f by fastforce qed also have " \ \ card (S - {y})" by (simp add: card_image_le fS) also have "\ \ card S - 1" using y fS by simp finally show False using S0 by arith qed } then show ?rhs unfolding inj_on_def by blast next assume h: ?rhs have "f ` S = T" by (simp add: ST c card_image card_subset_eq fT h) then show ?lhs by blast qed hide_const (open) Finite_Set.fold subsection \Infinite Sets\ text \ Some elementary facts about infinite sets, mostly by Stephan Merz. Beware! Because "infinite" merely abbreviates a negation, these lemmas may not work well with \blast\. \ abbreviation infinite :: "'a set \ bool" where "infinite S \ \ finite S" text \ Infinite sets are non-empty, and if we remove some elements from an infinite set, the result is still infinite. \ lemma infinite_UNIV_nat [iff]: "infinite (UNIV :: nat set)" proof assume "finite (UNIV :: nat set)" with finite_UNIV_inj_surj [of Suc] show False by simp (blast dest: Suc_neq_Zero surjD) qed lemma infinite_UNIV_char_0: "infinite (UNIV :: 'a::semiring_char_0 set)" proof assume "finite (UNIV :: 'a set)" with subset_UNIV have "finite (range of_nat :: 'a set)" by (rule finite_subset) moreover have "inj (of_nat :: nat \ 'a)" by (simp add: inj_on_def) ultimately have "finite (UNIV :: nat set)" by (rule finite_imageD) then show False by simp qed lemma infinite_imp_nonempty: "infinite S \ S \ {}" by auto lemma infinite_remove: "infinite S \ infinite (S - {a})" by simp lemma Diff_infinite_finite: assumes "finite T" "infinite S" shows "infinite (S - T)" using \finite T\ proof induct from \infinite S\ show "infinite (S - {})" by auto next fix T x assume ih: "infinite (S - T)" have "S - (insert x T) = (S - T) - {x}" by (rule Diff_insert) with ih show "infinite (S - (insert x T))" by (simp add: infinite_remove) qed lemma Un_infinite: "infinite S \ infinite (S \ T)" by simp lemma infinite_Un: "infinite (S \ T) \ infinite S \ infinite T" by simp lemma infinite_super: assumes "S \ T" and "infinite S" shows "infinite T" proof assume "finite T" with \S \ T\ have "finite S" by (simp add: finite_subset) with \infinite S\ show False by simp qed proposition infinite_coinduct [consumes 1, case_names infinite]: assumes "X A" and step: "\A. X A \ \x\A. X (A - {x}) \ infinite (A - {x})" shows "infinite A" proof assume "finite A" then show False using \X A\ proof (induction rule: finite_psubset_induct) case (psubset A) then obtain x where "x \ A" "X (A - {x}) \ infinite (A - {x})" using local.step psubset.prems by blast then have "X (A - {x})" using psubset.hyps by blast show False proof (rule psubset.IH [where B = "A - {x}"]) show "A - {x} \ A" using \x \ A\ by blast qed fact qed qed text \ For any function with infinite domain and finite range there is some element that is the image of infinitely many domain elements. In particular, any infinite sequence of elements from a finite set contains some element that occurs infinitely often. \ lemma inf_img_fin_dom': assumes img: "finite (f ` A)" and dom: "infinite A" shows "\y \ f ` A. infinite (f -` {y} \ A)" proof (rule ccontr) have "A \ (\y\f ` A. f -` {y} \ A)" by auto moreover assume "\ ?thesis" with img have "finite (\y\f ` A. f -` {y} \ A)" by blast ultimately have "finite A" by (rule finite_subset) with dom show False by contradiction qed lemma inf_img_fin_domE': assumes "finite (f ` A)" and "infinite A" obtains y where "y \ f`A" and "infinite (f -` {y} \ A)" using assms by (blast dest: inf_img_fin_dom') lemma inf_img_fin_dom: assumes img: "finite (f`A)" and dom: "infinite A" shows "\y \ f`A. infinite (f -` {y})" using inf_img_fin_dom'[OF assms] by auto lemma inf_img_fin_domE: assumes "finite (f`A)" and "infinite A" obtains y where "y \ f`A" and "infinite (f -` {y})" using assms by (blast dest: inf_img_fin_dom) proposition finite_image_absD: "finite (abs ` S) \ finite S" for S :: "'a::linordered_ring set" by (rule ccontr) (auto simp: abs_eq_iff vimage_def dest: inf_img_fin_dom) subsection \The finite powerset operator\ definition Fpow :: "'a set \ 'a set set" where "Fpow A \ {X. X \ A \ finite X}" lemma Fpow_mono: "A \ B \ Fpow A \ Fpow B" unfolding Fpow_def by auto lemma empty_in_Fpow: "{} \ Fpow A" unfolding Fpow_def by auto lemma Fpow_not_empty: "Fpow A \ {}" using empty_in_Fpow by blast lemma Fpow_subset_Pow: "Fpow A \ Pow A" unfolding Fpow_def by auto lemma Fpow_Pow_finite: "Fpow A = Pow A Int {A. finite A}" unfolding Fpow_def Pow_def by blast lemma inj_on_image_Fpow: assumes "inj_on f A" shows "inj_on (image f) (Fpow A)" using assms Fpow_subset_Pow[of A] subset_inj_on[of "image f" "Pow A"] inj_on_image_Pow by blast lemma image_Fpow_mono: assumes "f ` A \ B" shows "(image f) ` (Fpow A) \ Fpow B" using assms by(unfold Fpow_def, auto) end diff --git a/src/HOL/Set_Interval.thy b/src/HOL/Set_Interval.thy --- a/src/HOL/Set_Interval.thy +++ b/src/HOL/Set_Interval.thy @@ -1,2580 +1,2563 @@ (* Title: HOL/Set_Interval.thy Author: Tobias Nipkow, Clemens Ballarin, Jeremy Avigad lessThan, greaterThan, atLeast, atMost and two-sided intervals Modern convention: Ixy stands for an interval where x and y describe the lower and upper bound and x,y : {c,o,i} where c = closed, o = open, i = infinite. Examples: Ico = {_ ..< _} and Ici = {_ ..} *) section \Set intervals\ theory Set_Interval imports Divides begin (* Belongs in Finite_Set but 2 is not available there *) lemma card_2_iff: "card S = 2 \ (\x y. S = {x,y} \ x \ y)" by (auto simp: card_Suc_eq numeral_eq_Suc) lemma card_2_iff': "card S = 2 \ (\x\S. \y\S. x \ y \ (\z\S. z = x \ z = y))" by (auto simp: card_Suc_eq numeral_eq_Suc) lemma card_3_iff: "card S = 3 \ (\x y z. S = {x,y,z} \ x \ y \ y \ z \ x \ z)" by (fastforce simp: card_Suc_eq numeral_eq_Suc) context ord begin definition lessThan :: "'a => 'a set" ("(1{..<_})") where "{.. 'a set" ("(1{.._})") where "{..u} == {x. x \ u}" definition greaterThan :: "'a => 'a set" ("(1{_<..})") where "{l<..} == {x. l 'a set" ("(1{_..})") where "{l..} == {x. l\x}" definition greaterThanLessThan :: "'a => 'a => 'a set" ("(1{_<..<_})") where "{l<.. 'a => 'a set" ("(1{_..<_})") where "{l.. 'a => 'a set" ("(1{_<.._})") where "{l<..u} == {l<..} Int {..u}" definition atLeastAtMost :: "'a => 'a => 'a set" ("(1{_.._})") where "{l..u} == {l..} Int {..u}" end text\A note of warning when using \<^term>\{.. on type \<^typ>\nat\: it is equivalent to \<^term>\{0::nat.. but some lemmas involving \<^term>\{m.. may not exist in \<^term>\{..-form as well.\ syntax (ASCII) "_UNION_le" :: "'a => 'a => 'b set => 'b set" ("(3UN _<=_./ _)" [0, 0, 10] 10) "_UNION_less" :: "'a => 'a => 'b set => 'b set" ("(3UN _<_./ _)" [0, 0, 10] 10) "_INTER_le" :: "'a => 'a => 'b set => 'b set" ("(3INT _<=_./ _)" [0, 0, 10] 10) "_INTER_less" :: "'a => 'a => 'b set => 'b set" ("(3INT _<_./ _)" [0, 0, 10] 10) syntax (latex output) "_UNION_le" :: "'a \ 'a => 'b set => 'b set" ("(3\(\unbreakable\_ \ _)/ _)" [0, 0, 10] 10) "_UNION_less" :: "'a \ 'a => 'b set => 'b set" ("(3\(\unbreakable\_ < _)/ _)" [0, 0, 10] 10) "_INTER_le" :: "'a \ 'a => 'b set => 'b set" ("(3\(\unbreakable\_ \ _)/ _)" [0, 0, 10] 10) "_INTER_less" :: "'a \ 'a => 'b set => 'b set" ("(3\(\unbreakable\_ < _)/ _)" [0, 0, 10] 10) syntax "_UNION_le" :: "'a => 'a => 'b set => 'b set" ("(3\_\_./ _)" [0, 0, 10] 10) "_UNION_less" :: "'a => 'a => 'b set => 'b set" ("(3\_<_./ _)" [0, 0, 10] 10) "_INTER_le" :: "'a => 'a => 'b set => 'b set" ("(3\_\_./ _)" [0, 0, 10] 10) "_INTER_less" :: "'a => 'a => 'b set => 'b set" ("(3\_<_./ _)" [0, 0, 10] 10) translations "\i\n. A" \ "\i\{..n}. A" "\i "\i\{..i\n. A" \ "\i\{..n}. A" "\i "\i\{..Various equivalences\ lemma (in ord) lessThan_iff [iff]: "(i \ lessThan k) = (i greaterThan k) = (k atLeast k) = (k<=i)" by (simp add: atLeast_def) lemma Compl_atLeast [simp]: "!!k:: 'a::linorder. -atLeast k = lessThan k" by (auto simp add: lessThan_def atLeast_def) lemma (in ord) atMost_iff [iff]: "(i \ atMost k) = (i<=k)" by (simp add: atMost_def) lemma atMost_Int_atLeast: "!!n:: 'a::order. atMost n Int atLeast n = {n}" by (blast intro: order_antisym) lemma (in linorder) lessThan_Int_lessThan: "{ a <..} \ { b <..} = { max a b <..}" by auto lemma (in linorder) greaterThan_Int_greaterThan: "{..< a} \ {..< b} = {..< min a b}" by auto subsection \Logical Equivalences for Set Inclusion and Equality\ lemma atLeast_empty_triv [simp]: "{{}..} = UNIV" by auto lemma atMost_UNIV_triv [simp]: "{..UNIV} = UNIV" by auto lemma atLeast_subset_iff [iff]: "(atLeast x \ atLeast y) = (y \ (x::'a::preorder))" by (blast intro: order_trans) lemma atLeast_eq_iff [iff]: "(atLeast x = atLeast y) = (x = (y::'a::order))" by (blast intro: order_antisym order_trans) lemma greaterThan_subset_iff [iff]: "(greaterThan x \ greaterThan y) = (y \ (x::'a::linorder))" unfolding greaterThan_def by (auto simp: linorder_not_less [symmetric]) lemma greaterThan_eq_iff [iff]: "(greaterThan x = greaterThan y) = (x = (y::'a::linorder))" by (auto simp: elim!: equalityE) lemma atMost_subset_iff [iff]: "(atMost x \ atMost y) = (x \ (y::'a::preorder))" by (blast intro: order_trans) lemma atMost_eq_iff [iff]: "(atMost x = atMost y) = (x = (y::'a::order))" by (blast intro: order_antisym order_trans) lemma lessThan_subset_iff [iff]: "(lessThan x \ lessThan y) = (x \ (y::'a::linorder))" unfolding lessThan_def by (auto simp: linorder_not_less [symmetric]) lemma lessThan_eq_iff [iff]: "(lessThan x = lessThan y) = (x = (y::'a::linorder))" by (auto simp: elim!: equalityE) lemma lessThan_strict_subset_iff: fixes m n :: "'a::linorder" shows "{.. m < n" by (metis leD lessThan_subset_iff linorder_linear not_less_iff_gr_or_eq psubset_eq) lemma (in linorder) Ici_subset_Ioi_iff: "{a ..} \ {b <..} \ b < a" by auto lemma (in linorder) Iic_subset_Iio_iff: "{.. a} \ {..< b} \ a < b" by auto lemma (in preorder) Ioi_le_Ico: "{a <..} \ {a ..}" by (auto intro: less_imp_le) subsection \Two-sided intervals\ context ord begin lemma greaterThanLessThan_iff [simp]: "(i \ {l<.. i < u)" by (simp add: greaterThanLessThan_def) lemma atLeastLessThan_iff [simp]: "(i \ {l.. i \ i < u)" by (simp add: atLeastLessThan_def) lemma greaterThanAtMost_iff [simp]: "(i \ {l<..u}) = (l < i \ i \ u)" by (simp add: greaterThanAtMost_def) lemma atLeastAtMost_iff [simp]: "(i \ {l..u}) = (l \ i \ i \ u)" by (simp add: atLeastAtMost_def) text \The above four lemmas could be declared as iffs. Unfortunately this breaks many proofs. Since it only helps blast, it is better to leave them alone.\ lemma greaterThanLessThan_eq: "{ a <..< b} = { a <..} \ {..< b }" by auto lemma (in order) atLeastLessThan_eq_atLeastAtMost_diff: "{a..Emptyness, singletons, subset\ context preorder begin lemma atLeastatMost_empty_iff[simp]: "{a..b} = {} \ (\ a \ b)" by auto (blast intro: order_trans) lemma atLeastatMost_empty_iff2[simp]: "{} = {a..b} \ (\ a \ b)" by auto (blast intro: order_trans) lemma atLeastLessThan_empty_iff[simp]: "{a.. (\ a < b)" by auto (blast intro: le_less_trans) lemma atLeastLessThan_empty_iff2[simp]: "{} = {a.. (\ a < b)" by auto (blast intro: le_less_trans) lemma greaterThanAtMost_empty_iff[simp]: "{k<..l} = {} \ \ k < l" by auto (blast intro: less_le_trans) lemma greaterThanAtMost_empty_iff2[simp]: "{} = {k<..l} \ \ k < l" by auto (blast intro: less_le_trans) lemma atLeastatMost_subset_iff[simp]: "{a..b} \ {c..d} \ (\ a \ b) \ c \ a \ b \ d" unfolding atLeastAtMost_def atLeast_def atMost_def by (blast intro: order_trans) lemma atLeastatMost_psubset_iff: "{a..b} < {c..d} \ ((\ a \ b) \ c \ a \ b \ d \ (c < a \ b < d)) \ c \ d" by(simp add: psubset_eq set_eq_iff less_le_not_le)(blast intro: order_trans) lemma atLeastAtMost_subseteq_atLeastLessThan_iff: "{a..b} \ {c ..< d} \ (a \ b \ c \ a \ b < d)" by auto (blast intro: local.order_trans local.le_less_trans elim: )+ lemma Icc_subset_Ici_iff[simp]: "{l..h} \ {l'..} = (\ l\h \ l\l')" by(auto simp: subset_eq intro: order_trans) lemma Icc_subset_Iic_iff[simp]: "{l..h} \ {..h'} = (\ l\h \ h\h')" by(auto simp: subset_eq intro: order_trans) lemma not_Ici_eq_empty[simp]: "{l..} \ {}" by(auto simp: set_eq_iff) lemma not_Iic_eq_empty[simp]: "{..h} \ {}" by(auto simp: set_eq_iff) lemmas not_empty_eq_Ici_eq_empty[simp] = not_Ici_eq_empty[symmetric] lemmas not_empty_eq_Iic_eq_empty[simp] = not_Iic_eq_empty[symmetric] end context order begin lemma atLeastatMost_empty[simp]: "b < a \ {a..b} = {}" by(auto simp: atLeastAtMost_def atLeast_def atMost_def) lemma atLeastLessThan_empty[simp]: "b \ a \ {a.. k ==> {k<..l} = {}" by(auto simp:greaterThanAtMost_def greaterThan_def atMost_def) lemma greaterThanLessThan_empty[simp]:"l \ k ==> {k<.. {a .. b} = {a}" by simp lemma Icc_eq_Icc[simp]: "{l..h} = {l'..h'} = (l=l' \ h=h' \ \ l\h \ \ l'\h')" by (simp add: order_class.order.eq_iff) (auto intro: order_trans) lemma (in linorder) Ico_eq_Ico: "{l.. h=h' \ \ l \ l' a = b \ b = c" proof assume "{a..b} = {c}" hence *: "\ (\ a \ b)" unfolding atLeastatMost_empty_iff[symmetric] by simp with \{a..b} = {c}\ have "c \ a \ b \ c" by auto with * show "a = b \ b = c" by auto qed simp end context no_top begin (* also holds for no_bot but no_top should suffice *) lemma not_UNIV_le_Icc[simp]: "\ UNIV \ {l..h}" using gt_ex[of h] by(auto simp: subset_eq less_le_not_le) lemma not_UNIV_le_Iic[simp]: "\ UNIV \ {..h}" using gt_ex[of h] by(auto simp: subset_eq less_le_not_le) lemma not_Ici_le_Icc[simp]: "\ {l..} \ {l'..h'}" using gt_ex[of h'] by(auto simp: subset_eq less_le)(blast dest:antisym_conv intro: order_trans) lemma not_Ici_le_Iic[simp]: "\ {l..} \ {..h'}" using gt_ex[of h'] by(auto simp: subset_eq less_le)(blast dest:antisym_conv intro: order_trans) end context no_bot begin lemma not_UNIV_le_Ici[simp]: "\ UNIV \ {l..}" using lt_ex[of l] by(auto simp: subset_eq less_le_not_le) lemma not_Iic_le_Icc[simp]: "\ {..h} \ {l'..h'}" using lt_ex[of l'] by(auto simp: subset_eq less_le)(blast dest:antisym_conv intro: order_trans) lemma not_Iic_le_Ici[simp]: "\ {..h} \ {l'..}" using lt_ex[of l'] by(auto simp: subset_eq less_le)(blast dest:antisym_conv intro: order_trans) end context no_top begin (* also holds for no_bot but no_top should suffice *) lemma not_UNIV_eq_Icc[simp]: "\ UNIV = {l'..h'}" using gt_ex[of h'] by(auto simp: set_eq_iff less_le_not_le) lemmas not_Icc_eq_UNIV[simp] = not_UNIV_eq_Icc[symmetric] lemma not_UNIV_eq_Iic[simp]: "\ UNIV = {..h'}" using gt_ex[of h'] by(auto simp: set_eq_iff less_le_not_le) lemmas not_Iic_eq_UNIV[simp] = not_UNIV_eq_Iic[symmetric] lemma not_Icc_eq_Ici[simp]: "\ {l..h} = {l'..}" unfolding atLeastAtMost_def using not_Ici_le_Iic[of l'] by blast lemmas not_Ici_eq_Icc[simp] = not_Icc_eq_Ici[symmetric] (* also holds for no_bot but no_top should suffice *) lemma not_Iic_eq_Ici[simp]: "\ {..h} = {l'..}" using not_Ici_le_Iic[of l' h] by blast lemmas not_Ici_eq_Iic[simp] = not_Iic_eq_Ici[symmetric] end context no_bot begin lemma not_UNIV_eq_Ici[simp]: "\ UNIV = {l'..}" using lt_ex[of l'] by(auto simp: set_eq_iff less_le_not_le) lemmas not_Ici_eq_UNIV[simp] = not_UNIV_eq_Ici[symmetric] lemma not_Icc_eq_Iic[simp]: "\ {l..h} = {..h'}" unfolding atLeastAtMost_def using not_Iic_le_Ici[of h'] by blast lemmas not_Iic_eq_Icc[simp] = not_Icc_eq_Iic[symmetric] end context dense_linorder begin lemma greaterThanLessThan_empty_iff[simp]: "{ a <..< b } = {} \ b \ a" using dense[of a b] by (cases "a < b") auto lemma greaterThanLessThan_empty_iff2[simp]: "{} = { a <..< b } \ b \ a" using dense[of a b] by (cases "a < b") auto lemma atLeastLessThan_subseteq_atLeastAtMost_iff: "{a ..< b} \ { c .. d } \ (a < b \ c \ a \ b \ d)" using dense[of "max a d" "b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanAtMost_subseteq_atLeastAtMost_iff: "{a <.. b} \ { c .. d } \ (a < b \ c \ a \ b \ d)" using dense[of "a" "min c b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanLessThan_subseteq_atLeastAtMost_iff: "{a <..< b} \ { c .. d } \ (a < b \ c \ a \ b \ d)" using dense[of "a" "min c b"] dense[of "max a d" "b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanLessThan_subseteq_greaterThanLessThan: "{a <..< b} \ {c <..< d} \ (a < b \ a \ c \ b \ d)" using dense[of "a" "min c b"] dense[of "max a d" "b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanAtMost_subseteq_atLeastLessThan_iff: "{a <.. b} \ { c ..< d } \ (a < b \ c \ a \ b < d)" using dense[of "a" "min c b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanLessThan_subseteq_atLeastLessThan_iff: "{a <..< b} \ { c ..< d } \ (a < b \ c \ a \ b \ d)" using dense[of "a" "min c b"] dense[of "max a d" "b"] by (force simp: subset_eq Ball_def not_less[symmetric]) lemma greaterThanLessThan_subseteq_greaterThanAtMost_iff: "{a <..< b} \ { c <.. d } \ (a < b \ c \ a \ b \ d)" using dense[of "a" "min c b"] dense[of "max a d" "b"] by (force simp: subset_eq Ball_def not_less[symmetric]) end context no_top begin lemma greaterThan_non_empty[simp]: "{x <..} \ {}" using gt_ex[of x] by auto end context no_bot begin lemma lessThan_non_empty[simp]: "{..< x} \ {}" using lt_ex[of x] by auto end lemma (in linorder) atLeastLessThan_subset_iff: "{a.. {c.. b \ a \ c\a \ b\d" apply (auto simp:subset_eq Ball_def not_le) apply(frule_tac x=a in spec) apply(erule_tac x=d in allE) apply auto done lemma atLeastLessThan_inj: fixes a b c d :: "'a::linorder" assumes eq: "{a ..< b} = {c ..< d}" and "a < b" "c < d" shows "a = c" "b = d" using assms by (metis atLeastLessThan_subset_iff eq less_le_not_le antisym_conv2 subset_refl)+ lemma atLeastLessThan_eq_iff: fixes a b c d :: "'a::linorder" assumes "a < b" "c < d" shows "{a ..< b} = {c ..< d} \ a = c \ b = d" using atLeastLessThan_inj assms by auto lemma (in linorder) Ioc_inj: \{a <.. b} = {c <.. d} \ (b \ a \ d \ c) \ a = c \ b = d\ (is \?P \ ?Q\) proof assume ?Q then show ?P by auto next assume ?P then have \a < x \ x \ b \ c < x \ x \ d\ for x by (simp add: set_eq_iff) from this [of a] this [of b] this [of c] this [of d] show ?Q by auto qed lemma (in order) Iio_Int_singleton: "{.. {x} = (if x < k then {x} else {})" by auto lemma (in linorder) Ioc_subset_iff: "{a<..b} \ {c<..d} \ (b \ a \ c \ a \ b \ d)" by (auto simp: subset_eq Ball_def) (metis less_le not_less) lemma (in order_bot) atLeast_eq_UNIV_iff: "{x..} = UNIV \ x = bot" by (auto simp: set_eq_iff intro: le_bot) lemma (in order_top) atMost_eq_UNIV_iff: "{..x} = UNIV \ x = top" by (auto simp: set_eq_iff intro: top_le) lemma (in bounded_lattice) atLeastAtMost_eq_UNIV_iff: "{x..y} = UNIV \ (x = bot \ y = top)" by (auto simp: set_eq_iff intro: top_le le_bot) lemma Iio_eq_empty_iff: "{..< n::'a::{linorder, order_bot}} = {} \ n = bot" by (auto simp: set_eq_iff not_less le_bot) lemma lessThan_empty_iff: "{..< n::nat} = {} \ n = 0" by (simp add: Iio_eq_empty_iff bot_nat_def) lemma mono_image_least: assumes f_mono: "mono f" and f_img: "f ` {m ..< n} = {m' ..< n'}" "m < n" shows "f m = m'" proof - from f_img have "{m' ..< n'} \ {}" by (metis atLeastLessThan_empty_iff image_is_empty) with f_img have "m' \ f ` {m ..< n}" by auto then obtain k where "f k = m'" "m \ k" by auto moreover have "m' \ f m" using f_img by auto ultimately show "f m = m'" using f_mono by (auto elim: monoE[where x=m and y=k]) qed subsection \Infinite intervals\ context dense_linorder begin lemma infinite_Ioo: assumes "a < b" shows "\ finite {a<.. {}" using \a < b\ by auto ultimately have "a < Max {a <..< b}" "Max {a <..< b} < b" using Max_in[of "{a <..< b}"] by auto then obtain x where "Max {a <..< b} < x" "x < b" using dense[of "Max {a<.. {a <..< b}" using \a < Max {a <..< b}\ by auto then have "x \ Max {a <..< b}" using fin by auto with \Max {a <..< b} < x\ show False by auto qed lemma infinite_Icc: "a < b \ \ finite {a .. b}" using greaterThanLessThan_subseteq_atLeastAtMost_iff[of a b a b] infinite_Ioo[of a b] by (auto dest: finite_subset) lemma infinite_Ico: "a < b \ \ finite {a ..< b}" using greaterThanLessThan_subseteq_atLeastLessThan_iff[of a b a b] infinite_Ioo[of a b] by (auto dest: finite_subset) lemma infinite_Ioc: "a < b \ \ finite {a <.. b}" using greaterThanLessThan_subseteq_greaterThanAtMost_iff[of a b a b] infinite_Ioo[of a b] by (auto dest: finite_subset) lemma infinite_Ioo_iff [simp]: "infinite {a<.. a < b" using not_less_iff_gr_or_eq by (fastforce simp: infinite_Ioo) lemma infinite_Icc_iff [simp]: "infinite {a .. b} \ a < b" using not_less_iff_gr_or_eq by (fastforce simp: infinite_Icc) lemma infinite_Ico_iff [simp]: "infinite {a.. a < b" using not_less_iff_gr_or_eq by (fastforce simp: infinite_Ico) lemma infinite_Ioc_iff [simp]: "infinite {a<..b} \ a < b" using not_less_iff_gr_or_eq by (fastforce simp: infinite_Ioc) end lemma infinite_Iio: "\ finite {..< a :: 'a :: {no_bot, linorder}}" proof assume "finite {..< a}" then have *: "\x. x < a \ Min {..< a} \ x" by auto obtain x where "x < a" using lt_ex by auto obtain y where "y < Min {..< a}" using lt_ex by auto also have "Min {..< a} \ x" using \x < a\ by fact also note \x < a\ finally have "Min {..< a} \ y" by fact with \y < Min {..< a}\ show False by auto qed lemma infinite_Iic: "\ finite {.. a :: 'a :: {no_bot, linorder}}" using infinite_Iio[of a] finite_subset[of "{..< a}" "{.. a}"] by (auto simp: subset_eq less_imp_le) lemma infinite_Ioi: "\ finite {a :: 'a :: {no_top, linorder} <..}" proof assume "finite {a <..}" then have *: "\x. a < x \ x \ Max {a <..}" by auto obtain y where "Max {a <..} < y" using gt_ex by auto obtain x where x: "a < x" using gt_ex by auto also from x have "x \ Max {a <..}" by fact also note \Max {a <..} < y\ finally have "y \ Max { a <..}" by fact with \Max {a <..} < y\ show False by auto qed lemma infinite_Ici: "\ finite {a :: 'a :: {no_top, linorder} ..}" using infinite_Ioi[of a] finite_subset[of "{a <..}" "{a ..}"] by (auto simp: subset_eq less_imp_le) subsubsection \Intersection\ context linorder begin lemma Int_atLeastAtMost[simp]: "{a..b} Int {c..d} = {max a c .. min b d}" by auto lemma Int_atLeastAtMostR1[simp]: "{..b} Int {c..d} = {c .. min b d}" by auto lemma Int_atLeastAtMostR2[simp]: "{a..} Int {c..d} = {max a c .. d}" by auto lemma Int_atLeastAtMostL1[simp]: "{a..b} Int {..d} = {a .. min b d}" by auto lemma Int_atLeastAtMostL2[simp]: "{a..b} Int {c..} = {max a c .. b}" by auto lemma Int_atLeastLessThan[simp]: "{a.. {..b} = {.. min a b}" by (auto simp: min_def) lemma Ioc_disjoint: "{a<..b} \ {c<..d} = {} \ b \ a \ d \ c \ b \ c \ d \ a" by auto end context complete_lattice begin lemma shows Sup_atLeast[simp]: "Sup {x ..} = top" and Sup_greaterThanAtLeast[simp]: "x < top \ Sup {x <..} = top" and Sup_atMost[simp]: "Sup {.. y} = y" and Sup_atLeastAtMost[simp]: "x \ y \ Sup { x .. y} = y" and Sup_greaterThanAtMost[simp]: "x < y \ Sup { x <.. y} = y" by (auto intro!: Sup_eqI) lemma shows Inf_atMost[simp]: "Inf {.. x} = bot" and Inf_atMostLessThan[simp]: "top < x \ Inf {..< x} = bot" and Inf_atLeast[simp]: "Inf {x ..} = x" and Inf_atLeastAtMost[simp]: "x \ y \ Inf { x .. y} = x" and Inf_atLeastLessThan[simp]: "x < y \ Inf { x ..< y} = x" by (auto intro!: Inf_eqI) end lemma fixes x y :: "'a :: {complete_lattice, dense_linorder}" shows Sup_lessThan[simp]: "Sup {..< y} = y" and Sup_atLeastLessThan[simp]: "x < y \ Sup { x ..< y} = y" and Sup_greaterThanLessThan[simp]: "x < y \ Sup { x <..< y} = y" and Inf_greaterThan[simp]: "Inf {x <..} = x" and Inf_greaterThanAtMost[simp]: "x < y \ Inf { x <.. y} = x" and Inf_greaterThanLessThan[simp]: "x < y \ Inf { x <..< y} = x" by (auto intro!: Inf_eqI Sup_eqI intro: dense_le dense_le_bounded dense_ge dense_ge_bounded) subsection \Intervals of natural numbers\ subsubsection \The Constant \<^term>\lessThan\\ lemma lessThan_0 [simp]: "lessThan (0::nat) = {}" by (simp add: lessThan_def) lemma lessThan_Suc: "lessThan (Suc k) = insert k (lessThan k)" by (simp add: lessThan_def less_Suc_eq, blast) text \The following proof is convenient in induction proofs where new elements get indices at the beginning. So it is used to transform \<^term>\{.. to \<^term>\0::nat\ and \<^term>\{..< n}\.\ lemma zero_notin_Suc_image [simp]: "0 \ Suc ` A" by auto lemma lessThan_Suc_eq_insert_0: "{..m::nat. lessThan m) = UNIV" by blast subsubsection \The Constant \<^term>\greaterThan\\ lemma greaterThan_0: "greaterThan 0 = range Suc" unfolding greaterThan_def by (blast dest: gr0_conv_Suc [THEN iffD1]) lemma greaterThan_Suc: "greaterThan (Suc k) = greaterThan k - {Suc k}" unfolding greaterThan_def by (auto elim: linorder_neqE) lemma INT_greaterThan_UNIV: "(\m::nat. greaterThan m) = {}" by blast subsubsection \The Constant \<^term>\atLeast\\ lemma atLeast_0 [simp]: "atLeast (0::nat) = UNIV" by (unfold atLeast_def UNIV_def, simp) lemma atLeast_Suc: "atLeast (Suc k) = atLeast k - {k}" unfolding atLeast_def by (auto simp: order_le_less Suc_le_eq) lemma atLeast_Suc_greaterThan: "atLeast (Suc k) = greaterThan k" by (auto simp add: greaterThan_def atLeast_def less_Suc_eq_le) lemma UN_atLeast_UNIV: "(\m::nat. atLeast m) = UNIV" by blast subsubsection \The Constant \<^term>\atMost\\ lemma atMost_0 [simp]: "atMost (0::nat) = {0}" by (simp add: atMost_def) lemma atMost_Suc: "atMost (Suc k) = insert (Suc k) (atMost k)" unfolding atMost_def by (auto simp add: less_Suc_eq order_le_less) lemma UN_atMost_UNIV: "(\m::nat. atMost m) = UNIV" by blast subsubsection \The Constant \<^term>\atLeastLessThan\\ text\The orientation of the following 2 rules is tricky. The lhs is defined in terms of the rhs. Hence the chosen orientation makes sense in this theory --- the reverse orientation complicates proofs (eg nontermination). But outside, when the definition of the lhs is rarely used, the opposite orientation seems preferable because it reduces a specific concept to a more general one.\ lemma atLeast0LessThan [code_abbrev]: "{0::nat..The Constant \<^term>\atLeastAtMost\\ lemma Icc_eq_insert_lb_nat: "m \ n \ {m..n} = insert m {Suc m..n}" by auto lemma atLeast0_atMost_Suc: "{0..Suc n} = insert (Suc n) {0..n}" by (simp add: atLeast0AtMost atMost_Suc) lemma atLeast0_atMost_Suc_eq_insert_0: "{0..Suc n} = insert 0 (Suc ` {0..n})" by (simp add: atLeast0AtMost atMost_Suc_eq_insert_0) subsubsection \Intervals of nats with \<^term>\Suc\\ text\Not a simprule because the RHS is too messy.\ lemma atLeastLessThanSuc: "{m.. n then insert n {m.. Suc n \ {m..Suc n} = insert (Suc n) {m..n}" by auto lemma atLeastAtMost_insertL: "m \ n \ insert m {Suc m..n} = {m ..n}" by auto text \The analogous result is useful on \<^typ>\int\:\ (* here, because we don't have an own int section *) lemma atLeastAtMostPlus1_int_conv: "m \ 1+n \ {m..1+n} = insert (1+n) {m..n::int}" by (auto intro: set_eqI) lemma atLeastLessThan_add_Un: "i \ j \ {i.. {j..Intervals and numerals\ lemma lessThan_nat_numeral: \ \Evaluation for specific numerals\ "lessThan (numeral k :: nat) = insert (pred_numeral k) (lessThan (pred_numeral k))" by (simp add: numeral_eq_Suc lessThan_Suc) lemma atMost_nat_numeral: \ \Evaluation for specific numerals\ "atMost (numeral k :: nat) = insert (numeral k) (atMost (pred_numeral k))" by (simp add: numeral_eq_Suc atMost_Suc) lemma atLeastLessThan_nat_numeral: \ \Evaluation for specific numerals\ "atLeastLessThan m (numeral k :: nat) = (if m \ (pred_numeral k) then insert (pred_numeral k) (atLeastLessThan m (pred_numeral k)) else {})" by (simp add: numeral_eq_Suc atLeastLessThanSuc) subsubsection \Image\ context linordered_semidom begin lemma image_add_atLeast[simp]: "plus k ` {i..} = {k + i..}" proof - have "n = k + (n - k)" if "i + k \ n" for n proof - have "n = (n - (k + i)) + (k + i)" using that by (metis add_commute le_add_diff_inverse) then show "n = k + (n - k)" by (metis local.add_diff_cancel_left' add_assoc add_commute) qed then show ?thesis by (fastforce simp: add_le_imp_le_diff add.commute) qed lemma image_add_atLeastAtMost [simp]: "plus k ` {i..j} = {i + k..j + k}" (is "?A = ?B") proof show "?A \ ?B" by (auto simp add: ac_simps) next show "?B \ ?A" proof fix n assume "n \ ?B" then have "i \ n - k" by (simp add: add_le_imp_le_diff) have "n = n - k + k" proof - from \n \ ?B\ have "n = n - (i + k) + (i + k)" by simp also have "\ = n - k - i + i + k" by (simp add: algebra_simps) also have "\ = n - k + k" using \i \ n - k\ by simp finally show ?thesis . qed moreover have "n - k \ {i..j}" using \n \ ?B\ by (auto simp: add_le_imp_le_diff add_le_add_imp_diff_le) ultimately show "n \ ?A" by (simp add: ac_simps) qed qed lemma image_add_atLeastAtMost' [simp]: "(\n. n + k) ` {i..j} = {i + k..j + k}" by (simp add: add.commute [of _ k]) lemma image_add_atLeastLessThan [simp]: "plus k ` {i..n. n + k) ` {i.. uminus ` {x<..}" by (rule imageI) (simp add: *) thus "y \ uminus ` {x<..}" by simp next fix y assume "y \ -x" have "- (-y) \ uminus ` {x..}" by (rule imageI) (insert \y \ -x\[THEN le_imp_neg_le], simp) thus "y \ uminus ` {x..}" by simp qed simp_all lemma fixes x :: 'a shows image_uminus_lessThan[simp]: "uminus ` {.. = {c - b<..c - a}" by simp finally show ?thesis by simp qed lemma image_minus_const_greaterThanAtMost[simp]: fixes a b c::"'a::linordered_idom" shows "(-) c ` {a<..b} = {c - b.. = {c - b.. = {..c - a}" by simp finally show ?thesis by simp qed lemma image_minus_const_AtMost[simp]: fixes b c::"'a::linordered_idom" shows "(-) c ` {..b} = {c - b..}" proof - have "(-) c ` {..b} = (+) c ` uminus ` {..b}" unfolding image_image by simp also have "\ = {c - b..}" by simp finally show ?thesis by simp qed lemma image_minus_const_atLeastAtMost' [simp]: "(\t. t-d)`{a..b} = {a-d..b-d}" for d::"'a::linordered_idom" by (metis (no_types, lifting) diff_conv_add_uminus image_add_atLeastAtMost' image_cong) context linordered_field begin lemma image_mult_atLeastAtMost [simp]: "((*) d ` {a..b}) = {d*a..d*b}" if "d>0" using that by (auto simp: field_simps mult_le_cancel_right intro: rev_image_eqI [where x="x/d" for x]) lemma image_divide_atLeastAtMost [simp]: "((\c. c / d) ` {a..b}) = {a/d..b/d}" if "d>0" proof - from that have "inverse d > 0" by simp with image_mult_atLeastAtMost [of "inverse d" a b] have "(*) (inverse d) ` {a..b} = {inverse d * a..inverse d * b}" by blast moreover have "(*) (inverse d) = (\c. c / d)" by (simp add: fun_eq_iff field_simps) ultimately show ?thesis by simp qed lemma image_mult_atLeastAtMost_if: "(*) c ` {x .. y} = (if c > 0 then {c * x .. c * y} else if x \ y then {c * y .. c * x} else {})" proof (cases "c = 0 \ x > y") case True then show ?thesis by auto next case False then have "x \ y" by auto from False consider "c < 0"| "c > 0" by (auto simp add: neq_iff) then show ?thesis proof cases case 1 have "(*) c ` {x..y} = {c * y..c * x}" proof (rule set_eqI) fix d from 1 have "inj (\z. z / c)" by (auto intro: injI) then have "d \ (*) c ` {x..y} \ d / c \ (\z. z div c) ` (*) c ` {x..y}" by (subst inj_image_mem_iff) simp_all also have "\ \ d / c \ {x..y}" using 1 by (simp add: image_image) also have "\ \ d \ {c * y..c * x}" by (auto simp add: field_simps 1) finally show "d \ (*) c ` {x..y} \ d \ {c * y..c * x}" . qed with \x \ y\ show ?thesis by auto qed (simp add: mult_left_mono_neg) qed lemma image_mult_atLeastAtMost_if': "(\x. x * c) ` {x..y} = (if x \ y then if c > 0 then {x * c .. y * c} else {y * c .. x * c} else {})" using image_mult_atLeastAtMost_if [of c x y] by (auto simp add: ac_simps) lemma image_affinity_atLeastAtMost: "((\x. m * x + c) ` {a..b}) = (if {a..b} = {} then {} else if 0 \ m then {m * a + c .. m * b + c} else {m * b + c .. m * a + c})" proof - have *: "(\x. m * x + c) = ((\x. x + c) \ (*) m)" by (simp add: fun_eq_iff) show ?thesis by (simp only: * image_comp [symmetric] image_mult_atLeastAtMost_if) (auto simp add: mult_le_cancel_left) qed lemma image_affinity_atLeastAtMost_diff: "((\x. m*x - c) ` {a..b}) = (if {a..b}={} then {} else if 0 \ m then {m*a - c .. m*b - c} else {m*b - c .. m*a - c})" using image_affinity_atLeastAtMost [of m "-c" a b] by simp lemma image_affinity_atLeastAtMost_div: "((\x. x/m + c) ` {a..b}) = (if {a..b}={} then {} else if 0 \ m then {a/m + c .. b/m + c} else {b/m + c .. a/m + c})" using image_affinity_atLeastAtMost [of "inverse m" c a b] by (simp add: field_class.field_divide_inverse algebra_simps inverse_eq_divide) lemma image_affinity_atLeastAtMost_div_diff: "((\x. x/m - c) ` {a..b}) = (if {a..b}={} then {} else if 0 \ m then {a/m - c .. b/m - c} else {b/m - c .. a/m - c})" using image_affinity_atLeastAtMost_diff [of "inverse m" c a b] by (simp add: field_class.field_divide_inverse algebra_simps inverse_eq_divide) end lemma atLeast1_lessThan_eq_remove0: "{Suc 0..x. x + (l::int)) ` {0..i. i - c) ` {x ..< y} = (if c < y then {x - c ..< y - c} else if x < y then {0} else {})" (is "_ = ?right") proof safe fix a assume a: "a \ ?right" show "a \ (\i. i - c) ` {x ..< y}" proof cases assume "c < y" with a show ?thesis by (auto intro!: image_eqI[of _ _ "a + c"]) next assume "\ c < y" with a show ?thesis by (auto intro!: image_eqI[of _ _ x] split: if_split_asm) qed qed auto lemma image_int_atLeastLessThan: "int ` {a..Finiteness\ lemma finite_lessThan [iff]: fixes k :: nat shows "finite {..A bounded set of natural numbers is finite.\ lemma bounded_nat_set_is_finite: "(\i\N. i < (n::nat)) \ finite N" by (rule finite_subset [OF _ finite_lessThan]) auto text \A set of natural numbers is finite iff it is bounded.\ lemma finite_nat_set_iff_bounded: "finite(N::nat set) = (\m. \n\N. n?F\, simplified less_Suc_eq_le[symmetric]] by blast next assume ?B show ?F using \?B\ by(blast intro:bounded_nat_set_is_finite) qed lemma finite_nat_set_iff_bounded_le: "finite(N::nat set) = (\m. \n\N. n\m)" unfolding finite_nat_set_iff_bounded by (blast dest:less_imp_le_nat le_imp_less_Suc) lemma finite_less_ub: "!!f::nat=>nat. (!!n. n \ f n) ==> finite {n. f n \ u}" by (rule_tac B="{..u}" in finite_subset, auto intro: order_trans) lemma bounded_Max_nat: fixes P :: "nat \ bool" assumes x: "P x" and M: "\x. P x \ x \ M" obtains m where "P m" "\x. P x \ x \ m" proof - have "finite {x. P x}" using M finite_nat_set_iff_bounded_le by auto then have "Max {x. P x} \ {x. P x}" using Max_in x by auto then show ?thesis by (simp add: \finite {x. P x}\ that) qed text\Any subset of an interval of natural numbers the size of the subset is exactly that interval.\ lemma subset_card_intvl_is_intvl: assumes "A \ {k.. A" by auto with insert have "A \ {k..Proving Inclusions and Equalities between Unions\ lemma UN_le_eq_Un0: "(\i\n::nat. M i) = (\i\{1..n}. M i) \ M 0" (is "?A = ?B") proof show "?A \ ?B" proof fix x assume "x \ ?A" then obtain i where i: "i\n" "x \ M i" by auto show "x \ ?B" proof(cases i) case 0 with i show ?thesis by simp next case (Suc j) with i show ?thesis by auto qed qed next show "?B \ ?A" by fastforce qed lemma UN_le_add_shift: "(\i\n::nat. M(i+k)) = (\i\{k..n+k}. M i)" (is "?A = ?B") proof show "?A \ ?B" by fastforce next show "?B \ ?A" proof fix x assume "x \ ?B" then obtain i where i: "i \ {k..n+k}" "x \ M(i)" by auto hence "i-k\n \ x \ M((i-k)+k)" by auto thus "x \ ?A" by blast qed qed lemma UN_le_add_shift_strict: "(\ii\{k.. ?A" proof fix x assume "x \ ?B" then obtain i where i: "i \ {k.. M(i)" by auto then have "i - k < n \ x \ M((i-k) + k)" by auto then show "x \ ?A" using UN_le_add_shift by blast qed qed (fastforce) lemma UN_UN_finite_eq: "(\n::nat. \i\{0..n. A n)" by (auto simp add: atLeast0LessThan) lemma UN_finite_subset: "(\n::nat. (\i\{0.. C) \ (\n. A n) \ C" by (subst UN_UN_finite_eq [symmetric]) blast lemma UN_finite2_subset: assumes "\n::nat. (\i\{0.. (\i\{0..n. A n) \ (\n. B n)" proof (rule UN_finite_subset, rule) fix n and a from assms have "(\i\{0.. (\i\{0.. (\i\{0.. (\i\{0.. (\i. B i)" by (auto simp add: UN_UN_finite_eq) qed lemma UN_finite2_eq: "(\n::nat. (\i\{0..i\{0.. (\n. A n) = (\n. B n)" apply (rule subset_antisym [OF UN_finite_subset UN_finite2_subset]) apply auto apply (force simp add: atLeastLessThan_add_Un [of 0])+ done subsubsection \Cardinality\ lemma card_lessThan [simp]: "card {..x. x + l) ` {.. {0.. {0..n}" shows "finite N" using assms finite_atLeastAtMost by (rule finite_subset) lemma ex_bij_betw_nat_finite: "finite M \ \h. bij_betw h {0.. \h. bij_betw h M {0.. finite B \ card A = card B \ \h. bij_betw h A B" apply(drule ex_bij_betw_finite_nat) apply(drule ex_bij_betw_nat_finite) apply(auto intro!:bij_betw_trans) done lemma ex_bij_betw_nat_finite_1: "finite M \ \h. bij_betw h {1 .. card M} M" by (rule finite_same_card_bij) auto lemma bij_betw_iff_card: assumes "finite A" "finite B" shows "(\f. bij_betw f A B) \ (card A = card B)" proof assume "card A = card B" moreover obtain f where "bij_betw f A {0 ..< card A}" using assms ex_bij_betw_finite_nat by blast moreover obtain g where "bij_betw g {0 ..< card B} B" using assms ex_bij_betw_nat_finite by blast ultimately have "bij_betw (g \ f) A B" by (auto simp: bij_betw_trans) thus "(\f. bij_betw f A B)" by blast qed (auto simp: bij_betw_same_card) lemma subset_eq_atLeast0_lessThan_card: fixes n :: nat assumes "N \ {0.. n" proof - from assms finite_lessThan have "card N \ card {0..Relational version of @{thm [source] card_inj_on_le}:\ lemma card_le_if_inj_on_rel: assumes "finite B" "\a. a \ A \ \b. b\B \ r a b" "\a1 a2 b. \ a1 \ A; a2 \ A; b \ B; r a1 b; r a2 b \ \ a1 = a2" shows "card A \ card B" proof - let ?P = "\a b. b \ B \ r a b" let ?f = "\a. SOME b. ?P a b" have 1: "?f ` A \ B" by (auto intro: someI2_ex[OF assms(2)]) have "inj_on ?f A" proof (auto simp: inj_on_def) fix a1 a2 assume asms: "a1 \ A" "a2 \ A" "?f a1 = ?f a2" have 0: "?f a1 \ B" using "1" \a1 \ A\ by blast have 1: "r a1 (?f a1)" using someI_ex[OF assms(2)[OF \a1 \ A\]] by blast have 2: "r a2 (?f a1)" using someI_ex[OF assms(2)[OF \a2 \ A\]] asms(3) by auto show "a1 = a2" using assms(3)[OF asms(1,2) 0 1 2] . qed with 1 show ?thesis using card_inj_on_le[of ?f A B] assms(1) by simp qed lemma inj_on_funpow_least: \<^marker>\contributor \Lars Noschinski\\ \inj_on (\k. (f ^^ k) s) {0.. if \(f ^^ n) s = s\ \\m. 0 < m \ m < n \ (f ^^ m) s \ s\ proof - { fix k l assume A: "k < n" "l < n" "k \ l" "(f ^^ k) s = (f ^^ l) s" define k' l' where "k' = min k l" and "l' = max k l" with A have A': "k' < l'" "(f ^^ k') s = (f ^^ l') s" "l' < n" by (auto simp: min_def max_def) have "s = (f ^^ ((n - l') + l')) s" using that \l' < n\ by simp also have "\ = (f ^^ (n - l')) ((f ^^ l') s)" by (simp add: funpow_add) also have "(f ^^ l') s = (f ^^ k') s" by (simp add: A') also have "(f ^^ (n - l')) \ = (f ^^ (n - l' + k')) s" by (simp add: funpow_add) finally have "(f ^^ (n - l' + k')) s = s" by simp moreover have "n - l' + k' < n" "0 < n - l' + k'"using A' by linarith+ ultimately have False using that(2) by auto } then show ?thesis by (intro inj_onI) auto qed subsection \Intervals of integers\ lemma atLeastLessThanPlusOne_atLeastAtMost_int: "{l..Finiteness\ lemma image_atLeastZeroLessThan_int: "0 \ u ==> {(0::int).. u") case True then show ?thesis by (auto simp: image_atLeastZeroLessThan_int) qed auto lemma finite_atLeastLessThan_int [iff]: "finite {l..Cardinality\ lemma card_atLeastZeroLessThan_int: "card {(0::int).. u") case True then show ?thesis by (auto simp: image_atLeastZeroLessThan_int card_image inj_on_def) qed auto lemma card_atLeastLessThan_int [simp]: "card {l.. k < (i::nat)}" proof - have "{k. P k \ k < i} \ {.. M" shows "card {k \ M. k < Suc i} \ 0" proof - from zero_in_M have "{k \ M. k < Suc i} \ {}" by auto with finite_M_bounded_by_nat show ?thesis by (auto simp add: card_eq_0_iff) qed lemma card_less_Suc2: assumes "0 \ M" shows "card {k. Suc k \ M \ k < i} = card {k \ M. k < Suc i}" proof - have *: "\j \ M; j < Suc i\ \ j - Suc 0 < i \ Suc (j - Suc 0) \ M \ Suc 0 \ j" for j by (cases j) (use assms in auto) show ?thesis proof (rule card_bij_eq) show "inj_on Suc {k. Suc k \ M \ k < i}" by force show "inj_on (\x. x - Suc 0) {k \ M. k < Suc i}" by (rule inj_on_diff_nat) (use * in blast) qed (use * in auto) qed lemma card_less_Suc: assumes "0 \ M" shows "Suc (card {k. Suc k \ M \ k < i}) = card {k \ M. k < Suc i}" proof - have "Suc (card {k. Suc k \ M \ k < i}) = Suc (card {k. Suc k \ M - {0} \ k < i})" by simp also have "\ = Suc (card {k \ M - {0}. k < Suc i})" apply (subst card_less_Suc2) using assms by auto also have "\ = Suc (card ({k \ M. k < Suc i} - {0}))" by (force intro: arg_cong [where f=card]) also have "\ = card (insert 0 ({k \ M. k < Suc i} - {0}))" by (simp add: card.insert_remove) also have "... = card {k \ M. k < Suc i}" using assms by (force simp add: intro: arg_cong [where f=card]) finally show ?thesis. qed lemma card_le_Suc_Max: "finite S \ card S \ Suc (Max S)" proof (rule classical) assume "finite S" and "\ Suc (Max S) \ card S" then have "Suc (Max S) < card S" by simp with \finite S\ have "S \ {0..Max S}" by auto hence "card S \ card {0..Max S}" by (intro card_mono; auto) thus "card S \ Suc (Max S)" by simp qed subsection \Lemmas useful with the summation operator sum\ text \For examples, see Algebra/poly/UnivPoly2.thy\ subsubsection \Disjoint Unions\ text \Singletons and open intervals\ lemma ivl_disj_un_singleton: "{l::'a::linorder} Un {l<..} = {l..}" "{.. {l} Un {l<.. {l<.. u ==> {l} Un {l<..u} = {l..u}" "(l::'a::linorder) \ u ==> {l..One- and two-sided intervals\ lemma ivl_disj_un_one: "(l::'a::linorder) < u ==> {..l} Un {l<.. u ==> {.. u ==> {..l} Un {l<..u} = {..u}" "(l::'a::linorder) \ u ==> {.. u ==> {l<..u} Un {u<..} = {l<..}" "(l::'a::linorder) < u ==> {l<.. u ==> {l..u} Un {u<..} = {l..}" "(l::'a::linorder) \ u ==> {l..Two- and two-sided intervals\ lemma ivl_disj_un_two: "[| (l::'a::linorder) < m; m \ u |] ==> {l<.. m; m < u |] ==> {l<..m} Un {m<.. m; m \ u |] ==> {l.. m; m < u |] ==> {l..m} Un {m<.. u |] ==> {l<.. m; m \ u |] ==> {l<..m} Un {m<..u} = {l<..u}" "[| (l::'a::linorder) \ m; m \ u |] ==> {l.. m; m \ u |] ==> {l..m} Un {m<..u} = {l..u}" by auto lemma ivl_disj_un_two_touch: "[| (l::'a::linorder) < m; m < u |] ==> {l<..m} Un {m.. m; m < u |] ==> {l..m} Un {m.. u |] ==> {l<..m} Un {m..u} = {l<..u}" "[| (l::'a::linorder) \ m; m \ u |] ==> {l..m} Un {m..u} = {l..u}" by auto lemmas ivl_disj_un = ivl_disj_un_singleton ivl_disj_un_one ivl_disj_un_two ivl_disj_un_two_touch subsubsection \Disjoint Intersections\ text \One- and two-sided intervals\ lemma ivl_disj_int_one: "{..l::'a::order} Int {l<..Two- and two-sided intervals\ lemma ivl_disj_int_two: "{l::'a::order<..Some Differences\ lemma ivl_diff[simp]: "i \ n \ {i..Some Subset Conditions\ lemma ivl_subset [simp]: "({i.. {m.. i \ m \ i \ j \ (n::'a::linorder))" using linorder_class.le_less_linear[of i n] apply (auto simp: linorder_not_le) apply (force intro: leI)+ done -lemma obtain_subset_with_card_n: - assumes "n \ card S" - obtains T where "T \ S" "card T = n" "finite T" -proof - - obtain n' where "card S = n + n'" - by (metis assms le_add_diff_inverse) - with that show thesis - proof (induct n' arbitrary: S) - case 0 - then show ?case - by (cases "finite S") auto - next - case Suc - then show ?case - by (simp add: card_Suc_eq) (metis subset_insertI2) - qed -qed subsection \Generic big monoid operation over intervals\ context semiring_char_0 begin lemma inj_on_of_nat [simp]: "inj_on of_nat N" by rule simp lemma bij_betw_of_nat [simp]: "bij_betw of_nat N A \ of_nat ` N = A" by (simp add: bij_betw_def) lemma Nats_infinite: "infinite (\ :: 'a set)" by (metis Nats_def finite_imageD infinite_UNIV_char_0 inj_on_of_nat) end context comm_monoid_set begin lemma atLeastLessThan_reindex: "F g {h m.. h) {m.. h) {m..n}" if "bij_betw h {m..n} {h m..h n}" for m n ::nat proof - from that have "inj_on h {m..n}" and "h ` {m..n} = {h m..h n}" by (simp_all add: bij_betw_def) then show ?thesis using reindex [of h "{m..n}" g] by simp qed lemma atLeastLessThan_shift_bounds: "F g {m + k.. plus k) {m.. plus k) {m..n}" for m n k :: nat using atLeastAtMost_reindex [of "plus k" m n g] by (simp add: ac_simps) lemma atLeast_Suc_lessThan_Suc_shift: "F g {Suc m.. Suc) {m.. Suc) {m..n}" using atLeastAtMost_shift_bounds [of _ _ 1] by (simp add: plus_1_eq_Suc) lemma atLeast_atMost_pred_shift: "F (g \ (\n. n - Suc 0)) {Suc m..Suc n} = F g {m..n}" unfolding atLeast_Suc_atMost_Suc_shift by simp lemma atLeast_lessThan_pred_shift: "F (g \ (\n. n - Suc 0)) {Suc m.. int) {m.. int) {m..n}" by (rule atLeastAtMost_reindex) (simp add: image_int_atLeastAtMost) lemma atLeast0_lessThan_Suc: "F g {0..* g n" by (simp add: atLeast0_lessThan_Suc ac_simps) lemma atLeast0_atMost_Suc: "F g {0..Suc n} = F g {0..n} \<^bold>* g (Suc n)" by (simp add: atLeast0_atMost_Suc ac_simps) lemma atLeast0_lessThan_Suc_shift: "F g {0..* F (g \ Suc) {0..* F (g \ Suc) {0..n}" by (simp add: atLeast0_atMost_Suc_eq_insert_0 atLeast_Suc_atMost_Suc_shift) lemma atLeast_Suc_lessThan: "F g {m..* F g {Suc m..* F g {Suc m..n}" if "m \ n" proof - from that have "{m..n} = insert m {Suc m..n}" by auto then show ?thesis by simp qed lemma ivl_cong: "a = c \ b = d \ (\x. c \ x \ x < d \ g x = h x) \ F g {a.. plus m) {0.. n") simp_all lemma atLeastAtMost_shift_0: fixes m n p :: nat assumes "m \ n" shows "F g {m..n} = F (g \ plus m) {0..n - m}" using assms atLeastAtMost_shift_bounds [of g 0 m "n - m"] by simp lemma atLeastLessThan_concat: fixes m n p :: nat shows "m \ n \ n \ p \ F g {m..* F g {n..i. g (m + n - Suc i)) {n..i. g (m + n - i)) {n..m}" by (rule reindex_bij_witness [where i="\i. m + n - i" and j="\i. m + n - i"]) auto lemma atLeastLessThan_rev_at_least_Suc_atMost: "F g {n..i. g (m + n - i)) {Suc n..m}" unfolding atLeastLessThan_rev [of g n m] by (cases m) (simp_all add: atLeast_Suc_atMost_Suc_shift atLeastLessThanSuc_atLeastAtMost) end subsection \Summation indexed over intervals\ syntax (ASCII) "_from_to_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(SUM _ = _.._./ _)" [0,0,0,10] 10) "_from_upto_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(SUM _ = _..<_./ _)" [0,0,0,10] 10) "_upt_sum" :: "idt \ 'a \ 'b \ 'b" ("(SUM _<_./ _)" [0,0,10] 10) "_upto_sum" :: "idt \ 'a \ 'b \ 'b" ("(SUM _<=_./ _)" [0,0,10] 10) syntax (latex_sum output) "_from_to_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\sum_{\_ = _\<^latex>\}^{\_\<^latex>\}$\ _)" [0,0,0,10] 10) "_from_upto_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\sum_{\_ = _\<^latex>\}^{<\_\<^latex>\}$\ _)" [0,0,0,10] 10) "_upt_sum" :: "idt \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\sum_{\_ < _\<^latex>\}$\ _)" [0,0,10] 10) "_upto_sum" :: "idt \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\sum_{\_ \ _\<^latex>\}$\ _)" [0,0,10] 10) syntax "_from_to_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\_ = _.._./ _)" [0,0,0,10] 10) "_from_upto_sum" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\_ = _..<_./ _)" [0,0,0,10] 10) "_upt_sum" :: "idt \ 'a \ 'b \ 'b" ("(3\_<_./ _)" [0,0,10] 10) "_upto_sum" :: "idt \ 'a \ 'b \ 'b" ("(3\_\_./ _)" [0,0,10] 10) translations "\x=a..b. t" == "CONST sum (\x. t) {a..b}" "\x=a..x. t) {a..i\n. t" == "CONST sum (\i. t) {..n}" "\ii. t) {..The above introduces some pretty alternative syntaxes for summation over intervals: \begin{center} \begin{tabular}{lll} Old & New & \LaTeX\\ @{term[source]"\x\{a..b}. e"} & \<^term>\\x=a..b. e\ & @{term[mode=latex_sum]"\x=a..b. e"}\\ @{term[source]"\x\{a..\\x=a.. & @{term[mode=latex_sum]"\x=a..x\{..b}. e"} & \<^term>\\x\b. e\ & @{term[mode=latex_sum]"\x\b. e"}\\ @{term[source]"\x\{..\\x & @{term[mode=latex_sum]"\xlatex_sum\ (e.g.\ via \mode = latex_sum\ in antiquotations). It is not the default \LaTeX\ output because it only works well with italic-style formulae, not tt-style. Note that for uniformity on \<^typ>\nat\ it is better to use \<^term>\\x::nat=0.. rather than \\x: \sum\ may not provide all lemmas available for \<^term>\{m.. also in the special form for \<^term>\{...\ text\This congruence rule should be used for sums over intervals as the standard theorem @{text[source]sum.cong} does not work well with the simplifier who adds the unsimplified premise \<^term>\x\B\ to the context.\ context comm_monoid_set begin lemma zero_middle: assumes "1 \ p" "k \ p" shows "F (\j. if j < k then g j else if j = k then \<^bold>1 else h (j - Suc 0)) {..p} = F (\j. if j < k then g j else h j) {..p - Suc 0}" (is "?lhs = ?rhs") proof - have [simp]: "{..p - Suc 0} \ {j. j < k} = {.. - {j. j < k} = {k..p - Suc 0}" using assms by auto have "?lhs = F g {..* F (\j. if j = k then \<^bold>1 else h (j - Suc 0)) {k..p}" using union_disjoint [of "{.. = F g {..* F (\j. h (j - Suc 0)) {Suc k..p}" by (simp add: atLeast_Suc_atMost [of k p] assms) also have "\ = F g {..* F h {k .. p - Suc 0}" using reindex [of Suc "{k..p - Suc 0}"] assms by simp also have "\ = ?rhs" by (simp add: If_cases) finally show ?thesis . qed lemma atMost_Suc [simp]: "F g {..Suc n} = F g {..n} \<^bold>* g (Suc n)" by (simp add: atMost_Suc ac_simps) lemma lessThan_Suc [simp]: "F g {..* g n" by (simp add: lessThan_Suc ac_simps) lemma cl_ivl_Suc [simp]: "F g {m..Suc n} = (if Suc n < m then \<^bold>1 else F g {m..n} \<^bold>* g(Suc n))" by (auto simp: ac_simps atLeastAtMostSuc_conv) lemma op_ivl_Suc [simp]: "F g {m..1 else F g {m..* g(n))" by (auto simp: ac_simps atLeastLessThanSuc) lemma head: fixes n :: nat assumes mn: "m \ n" shows "F g {m..n} = g m \<^bold>* F g {m<..n}" (is "?lhs = ?rhs") proof - from mn have "{m..n} = {m} \ {m<..n}" by (auto intro: ivl_disj_un_singleton) hence "?lhs = F g ({m} \ {m<..n})" by (simp add: atLeast0LessThan) also have "\ = ?rhs" by simp finally show ?thesis . qed lemma last_plus: fixes n::nat shows "m \ n \ F g {m..n} = g n \<^bold>* F g {m..1 else F g {m..* g(n))" by (simp add: commute last_plus) lemma ub_add_nat: assumes "(m::nat) \ n + 1" shows "F g {m..n + p} = F g {m..n} \<^bold>* F g {n + 1..n + p}" proof- have "{m .. n+p} = {m..n} \ {n+1..n+p}" using \m \ n+1\ by auto thus ?thesis by (auto simp: ivl_disj_int union_disjoint atLeastSucAtMost_greaterThanAtMost) qed lemma nat_group: fixes k::nat shows "F (\m. F g {m * k ..< m*k + k}) {.. 0" by auto then show ?thesis by (induct n) (simp_all add: atLeastLessThan_concat add.commute atLeast0LessThan[symmetric]) qed auto lemma triangle_reindex: fixes n :: nat shows "F (\(i,j). g i j) {(i,j). i+j < n} = F (\k. F (\i. g i (k - i)) {..k}) {..(i,j). g i j) {(i,j). i+j \ n} = F (\k. F (\i. g i (k - i)) {..k}) {..n}" using triangle_reindex [of g "Suc n"] by (simp only: Nat.less_Suc_eq_le lessThan_Suc_atMost) lemma nat_diff_reindex: "F (\i. g (n - Suc i)) {..i. g(i + k)){m..i. g(i + k)){m..n::nat}" by (rule reindex_bij_witness[where i="\i. i + k" and j="\i. i - k"]) auto corollary shift_bounds_cl_Suc_ivl: "F g {Suc m..Suc n} = F (\i. g(Suc i)){m..n}" by (simp add: shift_bounds_cl_nat_ivl[where k="Suc 0", simplified]) corollary Suc_reindex_ivl: "m \ n \ F g {m..n} \<^bold>* g (Suc n) = g m \<^bold>* F (\i. g (Suc i)) {m..n}" by (simp add: assoc atLeast_Suc_atMost flip: shift_bounds_cl_Suc_ivl) corollary shift_bounds_Suc_ivl: "F g {Suc m..i. g(Suc i)){m..* F (\i. g (Suc i)) {..n}" proof (induct n) case 0 show ?case by simp next case (Suc n) note IH = this have "F g {..Suc (Suc n)} = F g {..Suc n} \<^bold>* g (Suc (Suc n))" by (rule atMost_Suc) also have "F g {..Suc n} = g 0 \<^bold>* F (\i. g (Suc i)) {..n}" by (rule IH) also have "g 0 \<^bold>* F (\i. g (Suc i)) {..n} \<^bold>* g (Suc (Suc n)) = g 0 \<^bold>* (F (\i. g (Suc i)) {..n} \<^bold>* g (Suc (Suc n)))" by (rule assoc) also have "F (\i. g (Suc i)) {..n} \<^bold>* g (Suc (Suc n)) = F (\i. g (Suc i)) {..Suc n}" by (rule atMost_Suc [symmetric]) finally show ?case . qed lemma lessThan_Suc_shift: "F g {..* F (\i. g (Suc i)) {..* F (\i. g (Suc i)) {..i. F (\j. a i j) {0..j. F (\i. a i j) {Suc j..n}) {0..i. F (\j. a i j) {..j. F (\i. a i j) {Suc j..n}) {..k. g (Suc k)) {.. = F (\k. g (Suc k)) {.. b \ F g {a..* g b" by (simp add: atLeastLessThanSuc commute) lemma nat_ivl_Suc': assumes "m \ Suc n" shows "F g {m..Suc n} = g (Suc n) \<^bold>* F g {m..n}" proof - from assms have "{m..Suc n} = insert (Suc n) {m..n}" by auto also have "F g \ = g (Suc n) \<^bold>* F g {m..n}" by simp finally show ?thesis . qed lemma in_pairs: "F g {2*m..Suc(2*n)} = F (\i. g(2*i) \<^bold>* g(Suc(2*i))) {m..n}" proof (induction n) case 0 show ?case by (cases "m=0") auto next case (Suc n) then show ?case by (auto simp: assoc split: if_split_asm) qed lemma in_pairs_0: "F g {..Suc(2*n)} = F (\i. g(2*i) \<^bold>* g(Suc(2*i))) {..n}" using in_pairs [of _ 0 n] by (simp add: atLeast0AtMost) end lemma card_sum_le_nat_sum: "\ {0.. \ S" proof (cases "finite S") case True then show ?thesis proof (induction "card S" arbitrary: S) case (Suc x) then have "Max S \ x" using card_le_Suc_Max by fastforce let ?S' = "S - {Max S}" from Suc have "Max S \ S" by (auto intro: Max_in) hence cards: "card S = Suc (card ?S')" using \finite S\ by (intro card.remove; auto) hence "\ {0.. \ ?S'" using Suc by (intro Suc; auto) hence "\ {0.. \ ?S' + Max S" using \Max S \ x\ by simp also have "... = \ S" using sum.remove[OF \finite S\ \Max S \ S\, where g="\x. x"] by simp finally show ?case using cards Suc by auto qed simp qed simp lemma sum_natinterval_diff: fixes f:: "nat \ ('a::ab_group_add)" shows "sum (\k. f k - f(k + 1)) {(m::nat) .. n} = (if m \ n then f m - f(n + 1) else 0)" by (induct n, auto simp add: algebra_simps not_le le_Suc_eq) lemma sum_diff_nat_ivl: fixes f :: "nat \ 'a::ab_group_add" shows "\ m \ n; n \ p \ \ sum f {m..x. Q x \ P x \ (\xxxShifting bounds\ context comm_monoid_add begin context fixes f :: "nat \ 'a" assumes "f 0 = 0" begin lemma sum_shift_lb_Suc0_0_upt: "sum f {Suc 0..f 0 = 0\ by simp qed lemma sum_shift_lb_Suc0_0: "sum f {Suc 0..k} = sum f {0..k}" proof (cases k) case 0 with \f 0 = 0\ show ?thesis by simp next case (Suc k) moreover have "{0..Suc k} = insert 0 {Suc 0..Suc k}" by auto ultimately show ?thesis using \f 0 = 0\ by simp qed end end lemma sum_Suc_diff: fixes f :: "nat \ 'a::ab_group_add" assumes "m \ Suc n" shows "(\i = m..n. f(Suc i) - f i) = f (Suc n) - f m" using assms by (induct n) (auto simp: le_Suc_eq) lemma sum_Suc_diff': fixes f :: "nat \ 'a::ab_group_add" assumes "m \ n" shows "(\i = m..Telescoping\ lemma sum_telescope: fixes f::"nat \ 'a::ab_group_add" shows "sum (\i. f i - f (Suc i)) {.. i} = f 0 - f (Suc i)" by (induct i) simp_all lemma sum_telescope'': assumes "m \ n" shows "(\k\{Suc m..n}. f k - f (k - 1)) = f n - (f m :: 'a :: ab_group_add)" by (rule dec_induct[OF assms]) (simp_all add: algebra_simps) lemma sum_lessThan_telescope: "(\nnThe formula for geometric sums\ lemma sum_power2: "(\i=0.. 1" shows "(\i 0" by simp_all moreover have "(\iy \ 0\) ultimately show ?thesis by simp qed lemma diff_power_eq_sum: fixes y :: "'a::{comm_ring,monoid_mult}" shows "x ^ (Suc n) - y ^ (Suc n) = (x - y) * (\pppp \\COMPLEX_POLYFUN\ in HOL Light\ fixes x :: "'a::{comm_ring,monoid_mult}" shows "x^n - y^n = (x - y) * (\iiiii\n. x^i) = 1 - x^Suc n" by (simp only: one_diff_power_eq lessThan_Suc_atMost) lemma sum_power_shift: fixes x :: "'a::{comm_ring,monoid_mult}" assumes "m \ n" shows "(\i=m..n. x^i) = x^m * (\i\n-m. x^i)" proof - have "(\i=m..n. x^i) = x^m * (\i=m..n. x^(i-m))" by (simp add: sum_distrib_left power_add [symmetric]) also have "(\i=m..n. x^(i-m)) = (\i\n-m. x^i)" using \m \ n\ by (intro sum.reindex_bij_witness[where j="\i. i - m" and i="\i. i + m"]) auto finally show ?thesis . qed lemma sum_gp_multiplied: fixes x :: "'a::{comm_ring,monoid_mult}" assumes "m \ n" shows "(1 - x) * (\i=m..n. x^i) = x^m - x^Suc n" proof - have "(1 - x) * (\i=m..n. x^i) = x^m * (1 - x) * (\i\n-m. x^i)" by (metis mult.assoc mult.commute assms sum_power_shift) also have "... =x^m * (1 - x^Suc(n-m))" by (metis mult.assoc sum_gp_basic) also have "... = x^m - x^Suc n" using assms by (simp add: algebra_simps) (metis le_add_diff_inverse power_add) finally show ?thesis . qed lemma sum_gp: fixes x :: "'a::{comm_ring,division_ring}" shows "(\i=m..n. x^i) = (if n < m then 0 else if x = 1 then of_nat((n + 1) - m) else (x^m - x^Suc n) / (1 - x))" using sum_gp_multiplied [of m n x] apply auto by (metis eq_iff_diff_eq_0 mult.commute nonzero_divide_eq_eq) subsubsection\Geometric progressions\ lemma sum_gp0: fixes x :: "'a::{comm_ring,division_ring}" shows "(\i\n. x^i) = (if x = 1 then of_nat(n + 1) else (1 - x^Suc n) / (1 - x))" using sum_gp_basic[of x n] by (simp add: mult.commute field_split_simps) lemma sum_power_add: fixes x :: "'a::{comm_ring,monoid_mult}" shows "(\i\I. x^(m+i)) = x^m * (\i\I. x^i)" by (simp add: sum_distrib_left power_add) lemma sum_gp_offset: fixes x :: "'a::{comm_ring,division_ring}" shows "(\i=m..m+n. x^i) = (if x = 1 then of_nat n + 1 else x^m * (1 - x^Suc n) / (1 - x))" using sum_gp [of x m "m+n"] by (auto simp: power_add algebra_simps) lemma sum_gp_strict: fixes x :: "'a::{comm_ring,division_ring}" shows "(\iThe formulae for arithmetic sums\ context comm_semiring_1 begin lemma double_gauss_sum: "2 * (\i = 0..n. of_nat i) = of_nat n * (of_nat n + 1)" by (induct n) (simp_all add: sum.atLeast0_atMost_Suc algebra_simps left_add_twice) lemma double_gauss_sum_from_Suc_0: "2 * (\i = Suc 0..n. of_nat i) = of_nat n * (of_nat n + 1)" proof - have "sum of_nat {Suc 0..n} = sum of_nat (insert 0 {Suc 0..n})" by simp also have "\ = sum of_nat {0..n}" by (cases n) (simp_all add: atLeast0_atMost_Suc_eq_insert_0) finally show ?thesis by (simp add: double_gauss_sum) qed lemma double_arith_series: "2 * (\i = 0..n. a + of_nat i * d) = (of_nat n + 1) * (2 * a + of_nat n * d)" proof - have "(\i = 0..n. a + of_nat i * d) = ((\i = 0..n. a) + (\i = 0..n. of_nat i * d))" by (rule sum.distrib) also have "\ = (of_nat (Suc n) * a + d * (\i = 0..n. of_nat i))" by (simp add: sum_distrib_left algebra_simps) finally show ?thesis by (simp add: algebra_simps double_gauss_sum left_add_twice) qed end context unique_euclidean_semiring_with_nat begin lemma gauss_sum: "(\i = 0..n. of_nat i) = of_nat n * (of_nat n + 1) div 2" using double_gauss_sum [of n, symmetric] by simp lemma gauss_sum_from_Suc_0: "(\i = Suc 0..n. of_nat i) = of_nat n * (of_nat n + 1) div 2" using double_gauss_sum_from_Suc_0 [of n, symmetric] by simp lemma arith_series: "(\i = 0..n. a + of_nat i * d) = (of_nat n + 1) * (2 * a + of_nat n * d) div 2" using double_arith_series [of a d n, symmetric] by simp end lemma gauss_sum_nat: "\{0..n} = (n * Suc n) div 2" using gauss_sum [of n, where ?'a = nat] by simp lemma arith_series_nat: "(\i = 0..n. a + i * d) = Suc n * (2 * a + n * d) div 2" using arith_series [of a d n] by simp lemma Sum_Icc_int: "\{m..n} = (n * (n + 1) - m * (m - 1)) div 2" if "m \ n" for m n :: int using that proof (induct i \ "nat (n - m)" arbitrary: m n) case 0 then have "m = n" by arith then show ?case by (simp add: algebra_simps mult_2 [symmetric]) next case (Suc i) have 0: "i = nat((n-1) - m)" "m \ n-1" using Suc(2,3) by arith+ have "\ {m..n} = \ {m..1+(n-1)}" by simp also have "\ = \ {m..n-1} + n" using \m \ n\ by(subst atLeastAtMostPlus1_int_conv) simp_all also have "\ = ((n-1)*(n-1+1) - m*(m-1)) div 2 + n" by(simp add: Suc(1)[OF 0]) also have "\ = ((n-1)*(n-1+1) - m*(m-1) + 2*n) div 2" by simp also have "\ = (n*(n+1) - m*(m-1)) div 2" by (simp add: algebra_simps mult_2_right) finally show ?case . qed lemma Sum_Icc_nat: "\{m..n} = (n * (n + 1) - m * (m - 1)) div 2" for m n :: nat proof (cases "m \ n") case True then have *: "m * (m - 1) \ n * (n + 1)" by (meson diff_le_self order_trans le_add1 mult_le_mono) have "int (\{m..n}) = (\{int m..int n})" by (simp add: sum.atLeast_int_atMost_int_shift) also have "\ = (int n * (int n + 1) - int m * (int m - 1)) div 2" using \m \ n\ by (simp add: Sum_Icc_int) also have "\ = int ((n * (n + 1) - m * (m - 1)) div 2)" using le_square * by (simp add: algebra_simps of_nat_div of_nat_diff) finally show ?thesis by (simp only: of_nat_eq_iff) next case False then show ?thesis by (auto dest: less_imp_Suc_add simp add: not_le algebra_simps) qed lemma Sum_Ico_nat: "\{m..Division remainder\ lemma range_mod: fixes n :: nat assumes "n > 0" shows "range (\m. m mod n) = {0.. ?A \ m \ ?B" proof assume "m \ ?A" with assms show "m \ ?B" by auto next assume "m \ ?B" moreover have "m mod n \ ?A" by (rule rangeI) ultimately show "m \ ?A" by simp qed qed subsection \Products indexed over intervals\ syntax (ASCII) "_from_to_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(PROD _ = _.._./ _)" [0,0,0,10] 10) "_from_upto_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(PROD _ = _..<_./ _)" [0,0,0,10] 10) "_upt_prod" :: "idt \ 'a \ 'b \ 'b" ("(PROD _<_./ _)" [0,0,10] 10) "_upto_prod" :: "idt \ 'a \ 'b \ 'b" ("(PROD _<=_./ _)" [0,0,10] 10) syntax (latex_prod output) "_from_to_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\prod_{\_ = _\<^latex>\}^{\_\<^latex>\}$\ _)" [0,0,0,10] 10) "_from_upto_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\prod_{\_ = _\<^latex>\}^{<\_\<^latex>\}$\ _)" [0,0,0,10] 10) "_upt_prod" :: "idt \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\prod_{\_ < _\<^latex>\}$\ _)" [0,0,10] 10) "_upto_prod" :: "idt \ 'a \ 'b \ 'b" ("(3\<^latex>\$\\prod_{\_ \ _\<^latex>\}$\ _)" [0,0,10] 10) syntax "_from_to_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\_ = _.._./ _)" [0,0,0,10] 10) "_from_upto_prod" :: "idt \ 'a \ 'a \ 'b \ 'b" ("(3\_ = _..<_./ _)" [0,0,0,10] 10) "_upt_prod" :: "idt \ 'a \ 'b \ 'b" ("(3\_<_./ _)" [0,0,10] 10) "_upto_prod" :: "idt \ 'a \ 'b \ 'b" ("(3\_\_./ _)" [0,0,10] 10) translations "\x=a..b. t" \ "CONST prod (\x. t) {a..b}" "\x=a.. "CONST prod (\x. t) {a..i\n. t" \ "CONST prod (\i. t) {..n}" "\i "CONST prod (\i. t) {..{int i..int (i+j)}" by (induct j) (auto simp add: atLeastAtMostSuc_conv atLeastAtMostPlus1_int_conv) lemma prod_int_eq: "prod int {i..j} = \{int i..int j}" proof (cases "i \ j") case True then show ?thesis by (metis le_iff_add prod_int_plus_eq) next case False then show ?thesis by auto qed subsection \Efficient folding over intervals\ function fold_atLeastAtMost_nat where [simp del]: "fold_atLeastAtMost_nat f a (b::nat) acc = (if a > b then acc else fold_atLeastAtMost_nat f (a+1) b (f a acc))" by pat_completeness auto termination by (relation "measure (\(_,a,b,_). Suc b - a)") auto lemma fold_atLeastAtMost_nat: assumes "comp_fun_commute f" shows "fold_atLeastAtMost_nat f a b acc = Finite_Set.fold f acc {a..b}" using assms proof (induction f a b acc rule: fold_atLeastAtMost_nat.induct, goal_cases) case (1 f a b acc) interpret comp_fun_commute f by fact show ?case proof (cases "a > b") case True thus ?thesis by (subst fold_atLeastAtMost_nat.simps) auto next case False with 1 show ?thesis by (subst fold_atLeastAtMost_nat.simps) (auto simp: atLeastAtMost_insertL[symmetric] fold_fun_left_comm) qed qed lemma sum_atLeastAtMost_code: "sum f {a..b} = fold_atLeastAtMost_nat (\a acc. f a + acc) a b 0" proof - have "comp_fun_commute (\a. (+) (f a))" by unfold_locales (auto simp: o_def add_ac) thus ?thesis by (simp add: sum.eq_fold fold_atLeastAtMost_nat o_def) qed lemma prod_atLeastAtMost_code: "prod f {a..b} = fold_atLeastAtMost_nat (\a acc. f a * acc) a b 1" proof - have "comp_fun_commute (\a. (*) (f a))" by unfold_locales (auto simp: o_def mult_ac) thus ?thesis by (simp add: prod.eq_fold fold_atLeastAtMost_nat o_def) qed (* TODO: Add support for folding over more kinds of intervals here *) end