(* Author: Andreas Lochbihler, ETH Zurich Author: Joshua Schneider, ETH Zurich *) section \Concrete \BNFCC{}s\ theory Concrete_Examples imports Preliminaries "HOL-Library.Rewrite" "HOL-Library.Cardinality" begin context includes lifting_syntax begin subsection \Function space\ lemma rel_fun_mono: "(A ===> B) \ (A' ===> B')" if "A' \ A" "B \ B'" using that by(auto simp add: rel_fun_def) lemma rel_fun_eq: "((=) ===> (=)) = (=)" by(fact fun.rel_eq) lemma rel_fun_conversep: "(A\\ ===> B\\) = (A ===> B)\\" by(auto simp add: rel_fun_def) lemma map_fun_id0: "(id ---> id) = id" by(fact map_fun.id) lemma map_fun_comp: "(f ---> g) \ (f' ---> g') = ((f' \ f) ---> (g \ g'))" by(fact map_fun.comp) lemma map_fun_parametric: "((A ===> A') ===> (B ===> B') ===> (A' ===> B) ===> (A ===> B')) (--->) (--->)" by(fact map_fun_parametric) definition rel_fun_pos_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ ('b \ 'b' \ 'b'') itself \ bool" where "rel_fun_pos_distr_cond A A' _ \ (\(B :: 'b \ 'b' \ bool) (B' :: 'b' \ 'b'' \ bool). (A ===> B) OO (A' ===> B') \ (A OO A') ===> (B OO B'))" definition rel_fun_neg_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ ('b \ 'b' \ 'b'') itself \ bool" where "rel_fun_neg_distr_cond A A' _ \ (\(B :: 'b \ 'b' \ bool) (B' :: 'b' \ 'b'' \ bool). (A OO A') ===> (B OO B') \ (A ===> B) OO (A' ===> B'))" lemmas rel_fun_pos_distr = rel_fun_pos_distr_cond_def[THEN iffD1, rule_format] and rel_fun_neg_distr = rel_fun_neg_distr_cond_def[THEN iffD1, rule_format] lemma rel_fun_pos_distr_iff [simp]: "rel_fun_pos_distr_cond A A' tytok = True" unfolding rel_fun_pos_distr_cond_def by (blast intro!: pos_fun_distr) lemma rel_fun_neg_distr_imp: "\ left_unique A; right_total A; right_unique A'; left_total A' \ \ rel_fun_neg_distr_cond A A' tytok" unfolding rel_fun_neg_distr_cond_def by (fast elim!: neg_fun_distr1[THEN predicate2D]) lemma rel_fun_pos_distr_cond_eq: "rel_fun_pos_distr_cond (=) (=) tytok" by simp lemma rel_fun_neg_distr_cond_eq: "rel_fun_neg_distr_cond (=) (=) tytok" by (blast intro: rel_fun_neg_distr_imp left_unique_eq right_unique_eq right_total_eq left_total_eq) thm fun.set_map fun.map_cong0 fun.rel_mono_strong subsection \Covariant powerset\ lemma rel_set_mono: "A \ A' \ rel_set A \ rel_set A'" by(fact rel_set_mono) lemma rel_set_eq: "rel_set (=) = (=)" by(fact rel_set_eq) lemma rel_set_conversep: "rel_set A\\ = (rel_set A)\\" by(fact rel_set_conversep) lemma map_set_id0: "image id = id" by(fact image_id) lemma map_set_comp: "image f \ image g = image (f \ g)" by(simp add: fun_eq_iff image_image o_def) lemma map_set_parametric: includes lifting_syntax shows "((A ===> B) ===> rel_set A ===> rel_set B) image image" by(fact image_transfer) definition rel_set_pos_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ bool" where "rel_set_pos_distr_cond A A' \ rel_set A OO rel_set A' \ rel_set (A OO A')" definition rel_set_neg_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ bool" where "rel_set_neg_distr_cond A A' \ rel_set (A OO A') \ rel_set A OO rel_set A'" lemmas rel_set_pos_distr = rel_set_pos_distr_cond_def[THEN iffD1, rule_format] and rel_set_neg_distr = rel_set_neg_distr_cond_def[THEN iffD1, rule_format] lemma rel_set_pos_distr_iff [simp]: "rel_set_pos_distr_cond A A' = True" unfolding rel_set_pos_distr_cond_def by(simp add: rel_set_OO) lemma rel_set_neg_distr_iff [simp]: "rel_set_neg_distr_cond A A' = True" unfolding rel_set_neg_distr_cond_def by(simp add: rel_set_OO) lemma rel_set_pos_distr_eq: "rel_set_pos_distr_cond (=) (=)" by simp lemma rel_set_neg_distr_eq: "rel_set_neg_distr_cond (=) (=)" by simp subsection \Bounded sets\ text \ We define bounded sets as a subtype, with an additional fixed parameter which controls the bound. Using the \BNFCC{} structure on the covariant powerset functor, it suffices to show the preconditions for the closedness of \BNFCC{} under subtypes. \ typedef ('a, 'k) bset = "{A :: 'a set. finite A \ card A \ CARD('k)}" proof show "{} \ ?bset" by simp qed setup_lifting type_definition_bset lemma bset_map_closed: fixes f A defines "B \ image f A" assumes "finite A \ card A \ CARD('k)" shows "finite B \ card B \ CARD('k)" using assms by(auto intro: card_image_le[THEN order_trans]) lift_definition map_bset :: "('a \ 'b) \ ('a, 'k) bset \ ('b, 'k) bset" is image by(fact bset_map_closed) lift_definition rel_bset :: "('a \ 'b \ bool) \ ('a, 'k) bset \ ('b, 'k) bset \ bool" is rel_set . definition neg_distr_cond_bset :: "('a \ 'b \ bool) \ ('b \ 'c \ bool) \ 'k itself \ bool" where "neg_distr_cond_bset C C' _ \ rel_bset (C OO C') \ rel_bset C OO (rel_bset C' :: (_, 'k) bset \ _)" lemma right_unique_rel_set_lemma: assumes "right_unique R" and "rel_set R X Y" obtains f where "Y = image f X" and "\x\X. R x (f x)" proof define f where "f x = (THE y. R x y)" for x { fix x assume "x \ X" with \rel_set R X Y\ \right_unique R\ have "R x (f x)" by (simp add: right_unique_def rel_set_def f_def) (metis theI) with assms \x \ X\ have "R x (f x)" "f x \ Y" by (fastforce simp add: right_unique_def rel_set_def)+ } moreover have "\x\X. y = f x" if "y \ Y" for y using \rel_set R X Y\ that by(auto simp add: f_def dest!: rel_setD2 dest: right_uniqueD[OF \right_unique R\] intro: the_equality[symmetric]) ultimately show "\x\X. R x (f x)" "Y = image f X" by (auto simp: inj_on_def image_iff) qed lemma left_unique_rel_set_lemma: assumes "left_unique R" and "rel_set R Y X" obtains f where "Y = image f X" and "\x\X. R (f x) x" proof define f where "f x = (THE y. R y x)" for x { fix x assume "x \ X" with \rel_set R Y X\ \left_unique R\ have "R (f x) x" by (simp add: left_unique_def rel_set_def f_def) (metis theI) with assms \x \ X\ have "R (f x) x" "f x \ Y" by (fastforce simp add: left_unique_def rel_set_def)+ } moreover have "\x\X. y = f x" if "y \ Y" for y using \rel_set R Y X\ that by(auto simp add: f_def dest!: rel_setD1 dest: left_uniqueD[OF \left_unique R\] intro: the_equality[symmetric]) ultimately show "\x\X. R (f x) x" "Y = image f X" by (auto simp: inj_on_def image_iff) qed lemma neg_distr_cond_bset_right_unique: "right_unique C \ neg_distr_cond_bset C D tytok" unfolding neg_distr_cond_bset_def apply(rule predicate2I) apply transfer apply(auto 6 2 intro: card_image_le[THEN order_trans] elim: right_unique_rel_set_lemma simp add: rel_set_OO[symmetric]) done lemma neg_distr_cond_bset_left_unique: "left_unique D \ neg_distr_cond_bset C D tytok" unfolding neg_distr_cond_bset_def apply(rule predicate2I) apply transfer apply(auto 6 2 intro: card_image_le[THEN order_trans] elim: left_unique_rel_set_lemma simp add: rel_set_OO[symmetric]) done lemma neg_distr_cond_bset_eq: "neg_distr_cond_bset (=) (=) tytok" by (intro neg_distr_cond_bset_right_unique right_unique_eq) subsection \Contravariant powerset (sets as predicates)\ type_synonym 'a pred = "'a \ bool" definition map_pred :: "('b \ 'a) \ 'a pred \ 'b pred" where "map_pred f = (f ---> id)" definition rel_pred :: "('a \ 'b \ bool) \ 'a pred \ 'b pred \ bool" where "rel_pred R = (R ===> (\))" lemma rel_pred_mono: "A' \ A \ rel_pred A \ rel_pred A'" unfolding rel_pred_def by(auto elim!: rel_fun_mono) lemma rel_pred_eq: "rel_pred (=) = (=)" by(simp add: rel_pred_def rel_fun_eq) lemma rel_pred_conversep: "rel_pred A\\ = (rel_pred A)\\" using rel_fun_conversep[of _ "(=)"] by (simp add: rel_pred_def) lemma map_pred_id0: "map_pred id = id" by (simp add: map_pred_def map_fun_id) lemma map_pred_comp: "map_pred f \ map_pred g = map_pred (g \ f)" using map_fun_comp[where g=id and g'=id] by (simp add: map_pred_def) lemma map_pred_parametric: "((A' ===> A) ===> rel_pred A ===> rel_pred A') map_pred map_pred" by (simp add: rel_fun_def rel_pred_def map_pred_def) definition rel_pred_pos_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ bool" where "rel_pred_pos_distr_cond A B \ rel_pred A OO rel_pred B \ rel_pred (A OO B)" definition rel_pred_neg_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ bool" where "rel_pred_neg_distr_cond A B \ rel_pred (A OO B) \ rel_pred A OO rel_pred B" lemmas rel_pred_pos_distr = rel_pred_pos_distr_cond_def[THEN iffD1, rule_format] and rel_pred_neg_distr = rel_pred_neg_distr_cond_def[THEN iffD1, rule_format] lemma rel_pred_pos_distr_iff [simp]: "rel_pred_pos_distr_cond A B = True" unfolding rel_pred_pos_distr_cond_def by (auto simp add: rel_pred_def rel_fun_def) lemma rel_pred_pos_distr_cond_eq: "rel_pred_pos_distr_cond (=) (=)" by simp lemma neg_fun_distr3: assumes 1: "left_unique R" "right_total R" and 2: "right_unique S" "left_total S" shows "rel_fun (R OO R') (S OO S') \ rel_fun R S OO rel_fun R' S'" using functional_converse_relation[OF 1] functional_relation[OF 2] unfolding rel_fun_def OO_def apply clarify apply (subst all_comm) apply (subst all_conj_distrib[symmetric]) apply (intro choice) by metis text \ As there are no live variables, we can get a weaker condition than if we derived it from @{const rel_fun}'s condition! \ lemma rel_pred_neg_distr_imp: "right_unique B \ left_total B \ left_unique A \ right_total A \ rel_pred_neg_distr_cond A B" unfolding rel_pred_neg_distr_cond_def rel_pred_def apply(clarsimp simp add: vimage2p_def rel_pred_neg_distr_cond_def) apply(rewrite in "rel_fun _ \" in asm eq_OO[symmetric]) apply(elim disjE) apply(drule neg_fun_distr2[THEN predicate2D, rotated -1]; (simp add: left_unique_eq right_unique_eq left_total_eq right_total_eq)?) apply(drule neg_fun_distr3[THEN predicate2D, rotated -1]; (simp add: left_unique_eq right_unique_eq left_total_eq right_total_eq)?) done lemma rel_pred_neg_distr_cond_eq: "rel_pred_neg_distr_cond (=) (=)" by(blast intro: rel_pred_neg_distr_imp left_unique_eq right_total_eq) lemma left_unique_rel_pred: "left_total A \ left_unique (rel_pred A)" unfolding rel_pred_def by (erule left_unique_fun) (rule left_unique_eq) lemma right_unique_rel_pred: "right_total A \ right_unique (rel_pred A)" unfolding rel_pred_def by (erule right_unique_fun) (rule right_unique_eq) lemma left_total_rel_pred: "left_unique A \ left_total (rel_pred A)" unfolding rel_pred_def by (erule left_total_fun) (rule left_total_eq) lemma right_total_rel_pred: "right_unique A \ right_total (rel_pred A)" unfolding rel_pred_def by (erule right_total_fun) (rule right_total_eq) end (* context includes lifting_syntax *) subsection \Filter\ text \ Similarly to bounded sets, we exploit the definition of filters as a subtype in order to lift the \BNFCC{} operations. Here we use that the @{const is_filter} predicate is closed under zippings. \ lemma map_filter_closed: includes lifting_syntax assumes "is_filter F" shows "is_filter (((f ---> id) ---> id) F)" proof - define F' where "F' = Abs_filter F" have "is_filter (((f ---> id) ---> id) (\P. eventually P F'))" by (rule is_filter.intro)(auto elim!: eventually_rev_mp simp add: map_fun_def o_def) then show ?thesis using assms by(simp add: F'_def eventually_Abs_filter) qed definition rel_pred2_neg_distr_cond :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ bool" where "rel_pred2_neg_distr_cond A B \ rel_pred (rel_pred (A OO B)) \ rel_pred (rel_pred A) OO rel_pred (rel_pred B)" consts rel_pred2_witness :: "('a \ 'a' \ bool) \ ('a' \ 'a'' \ bool) \ (('a \ bool) \ bool) \ (('a'' \ bool) \ bool) \ ('a' \ bool) \ bool" specification (rel_pred2_witness) rel_pred2_witness1: "\K K' x y. \ rel_pred2_neg_distr_cond K K'; rel_pred (rel_pred (K OO K')) x y \ \ rel_pred (rel_pred K) x (rel_pred2_witness K K' (x, y))" rel_pred2_witness2: "\K K' x y. \ rel_pred2_neg_distr_cond K K'; rel_pred (rel_pred (K OO K')) x y \ \ rel_pred (rel_pred K') (rel_pred2_witness K K' (x, y)) y" apply (rule exI[of _ "\K K' (x, y). SOME z. rel_pred (rel_pred K) x z \ rel_pred (rel_pred K') z y"]) apply (fold all_conj_distrib) apply (intro allI) apply (fold imp_conjR) apply (clarify) apply (rule relcomppE[of "rel_pred (rel_pred _)" "rel_pred (rel_pred _)", rotated]) apply (rule someI[where P="\z. rel_pred (rel_pred _) _ z \ rel_pred (rel_pred _) z _"]) apply (erule (1) conjI) apply (auto simp add: rel_pred2_neg_distr_cond_def) done lemmas rel_pred2_witness = rel_pred2_witness1 rel_pred2_witness2 context includes lifting_syntax begin definition rel_filter_neg_distr_cond' :: "('a \ 'b \ bool) \ ('b \ 'c \ bool) \ bool" where "rel_filter_neg_distr_cond' C C' \ left_total C \ right_unique C \ right_total C' \ left_unique C'" lemma rel_filter_neg_distr_cond'_stronger: assumes "rel_filter_neg_distr_cond' C C'" shows "rel_pred2_neg_distr_cond C C'" unfolding rel_pred2_neg_distr_cond_def proof - have "rel_pred (rel_pred (C OO C')) \ rel_pred (rel_pred C OO rel_pred C')" by (auto intro!: rel_pred_mono rel_pred_pos_distr) also have "... \ rel_pred (rel_pred C) OO rel_pred (rel_pred C')" apply (rule rel_pred_neg_distr) apply (rule rel_pred_neg_distr_imp) apply (insert assms[unfolded rel_filter_neg_distr_cond'_def]) by (blast dest: left_unique_rel_pred right_total_rel_pred right_unique_rel_pred left_total_rel_pred) finally show "rel_pred (rel_pred (C OO C')) \ ..." . qed lemma rel_filter_neg_distr_cond'_eq: "rel_filter_neg_distr_cond' (=) (=)" unfolding rel_filter_neg_distr_cond'_def by (simp add: left_total_eq right_unique_eq) lemma is_filter_rel_witness: assumes F: "is_filter F" and G: "is_filter G" and FG: "rel_pred (rel_pred (C OO C')) F G" and cond: "rel_filter_neg_distr_cond' C C'" shows "is_filter (rel_pred2_witness C C' (F, G))" proof let ?C = "rel_pred (rel_pred C)" and ?C' = "rel_pred (rel_pred C')" let ?wit = "rel_pred2_witness C C' (F, G)" have "rel_pred2_neg_distr_cond C C'" using cond by (rule rel_filter_neg_distr_cond'_stronger) with FG have wit1: "?C F ?wit" and wit2: "?C' ?wit G" by (rule rel_pred2_witness[rotated])+ from wit1[unfolded rel_pred_def, THEN rel_funD, of "\_. True" "\_. True"] F show "?wit (\_. True)" by (auto simp add: is_filter.True) fix P Q have *: "(?wit P \ ?wit Q \ ?wit (\x. P x \ Q x)) \ (?wit P \ (\x. P x \ Q x) \ ?wit Q)" using cond unfolding rel_filter_neg_distr_cond'_def proof(elim disjE conjE; use nothing in \intro conjI strip\) assume "left_total C" "right_unique C" hence "left_unique (C ===> (=))" "right_total (C ===> (=))" by(blast intro: left_unique_fun left_unique_eq right_total_fun right_total_eq)+ from functional_converse_relation[OF this] obtain P' Q' where P' [transfer_rule]: "(C ===> (=)) P' P" and Q' [transfer_rule]: "(C ===> (=)) Q' Q" by fastforce have PQ: "(C ===> (=)) (\x. P' x \ Q' x) (\x. P x \ Q x)" by transfer_prover with wit1 P' Q' have P: "?wit P \ F P'" and Q: "?wit Q \ F Q'" and PQ: "?wit (\x. P x \ Q x) \ F (\x. P' x \ Q' x)" by(auto dest: rel_funD simp add: rel_pred_def) show "?wit (\x. P x \ Q x)" if "?wit P" "?wit Q" using that P Q PQ by(auto intro: is_filter.conj[OF F]) assume "\x. P x \ Q x" with P' Q' \left_total C\ have "\x. P' x \ Q' x" by(metis (full_types) apply_rsp' left_total_def) then show "?wit Q" if "?wit P" using P Q that by(simp add: is_filter.mono[OF F]) next assume "right_total C'" "left_unique C'" hence "right_unique (C' ===> (=))" "left_total (C' ===> (=))" by(blast intro: right_unique_fun right_unique_eq left_total_fun left_total_eq)+ from functional_relation[OF this] obtain P' Q' where P' [transfer_rule]: "(C' ===> (=)) P P'" and Q' [transfer_rule]: "(C' ===> (=)) Q Q'" by fastforce have PQ: "(C' ===> (=)) (\x. P x \ Q x) (\x. P' x \ Q' x)" by transfer_prover with wit2 P' Q' have P: "?wit P \ G P'" and Q: "?wit Q \ G Q'" and PQ: "?wit (\x. P x \ Q x) \ G (\x. P' x \ Q' x)" by(auto dest: rel_funD simp add: rel_pred_def) show "?wit (\x. P x \ Q x)" if "?wit P" "?wit Q" using that P Q PQ by(auto intro: is_filter.conj[OF G]) assume "\x. P x \ Q x" with P' Q' \right_total C'\ have "\x. P' x \ Q' x" by(metis (full_types) apply_rsp' right_total_def) then show "?wit Q" if "?wit P" using P Q that by(simp add: is_filter.mono[OF G]) qed show "?wit (\x. P x \ Q x)" if P: "?wit P" and Q: "?wit Q" using * that by simp show "?wit Q" if P: "?wit P" and imp: "\x. P x \ Q x" using * that by simp qed end (* context includes lifting_syntax *) text \The following example shows that filters do not satisfy @{command lift_bnf}'s condition.\ experiment begin unbundle lifting_syntax definition "raw_filtermap f = ((f ---> id) ---> id)" lemma raw_filtermap_apply: "raw_filtermap f F = (\P. F (\x. P (f x)))" unfolding raw_filtermap_def by (simp add: map_fun_def comp_def) lemma "filtermap f = Abs_filter \ raw_filtermap f \ Rep_filter" unfolding filtermap_def eventually_def by (simp add: fun_eq_iff raw_filtermap_apply) definition Z where "Z = {{(False, False), (False, True)}, {(False, False), (True, False)}, {(False, False), (False, True), (True, False), (True, True)}}" abbreviation "Z' \ (\P. Collect P \ Z)" lemma "is_filter (raw_filtermap fst Z')" unfolding Z_def raw_filtermap_apply apply (rule is_filter.intro) apply (simp add: set_eq_iff; smt)+ done lemma "is_filter (raw_filtermap snd Z')" unfolding Z_def raw_filtermap_apply apply (rule is_filter.intro) apply (simp add: set_eq_iff; smt)+ done lemma "\ is_filter Z'" apply (rule) apply (drule is_filter.mono[of _ "\x. x \ {(False, False), (False, True)}" "\x. x \ {(False, False), (False, True), (True, False)}"]) apply (auto 3 0 simp add: Z_def) done end (* experiment *) subsection \Almost-everywhere equal sequences\ inductive aeseq_eq :: "(nat \ 'a) \ (nat \ 'a) \ bool" for f g where "aeseq_eq f g" if "finite {n. f n \ g n}" lemma equivp_aeseq_eq: "equivp aeseq_eq" proof(rule equivpI) show "reflp aeseq_eq" by(simp add: reflp_def aeseq_eq.simps) show "symp aeseq_eq" by(simp add: symp_def aeseq_eq.simps eq_commute) have "finite {n. f n \ h n}" if "finite {n. f n \ g n}" "finite {n. g n \ h n}" for f g h :: "nat \ 'b" using finite_subset[of "{n. f n \ h n}" "{n. f n \ g n} \ {n. g n \ h n}"] that by(fastforce intro: finite_subset) then show "transp aeseq_eq" by(auto simp add: transp_def aeseq_eq.simps) qed quotient_type 'a aeseq = "nat \ 'a" / aeseq_eq by(rule equivp_aeseq_eq) lift_definition map_aeseq :: "('a \ 'b) \ 'a aeseq \ 'b aeseq" is "(\)" by(auto simp add: aeseq_eq.simps elim: finite_subset[rotated]) lemma map_aeseq_id: "map_aeseq id x = x" by transfer(simp add: equivp_reflp[OF equivp_aeseq_eq]) lemma map_aeseq_comp: "map_aeseq f (map_aeseq g x) = map_aeseq (f \ g) x" by transfer(simp add: o_assoc equivp_reflp[OF equivp_aeseq_eq]) lift_definition rel_aeseq :: "('a \ 'b \ bool) \ 'a aeseq \ 'b aeseq \ bool" is "\R f g. finite {n. \ R (f n) (g n)}" proof(unfold aeseq_eq.simps) show "finite {n. \ R (f n) (g n)} \ finite {n. \ R (f' n) (g' n)}" if ff': "finite {n. f n \ f' n}" and gg': "finite {n. g n \ g' n}" for R and f f' :: "nat \ 'a" and g g' :: "nat \ 'b" proof(rule iffI) assume "finite {n. \ R (f n) (g n)}" with ff' gg' have "finite ({n. \ R (f n) (g n)} \ {n. f n \ f' n} \ {n. g n \ g' n})" by simp then show "finite {n. \ R (f' n) (g' n)}" by(rule finite_subset[rotated]) auto next assume "finite {n. \ R (f' n) (g' n)}" with ff' gg' have "finite ({n. \ R (f' n) (g' n)} \ {n. f n \ f' n} \ {n. g n \ g' n})" by simp then show "finite {n. \ R (f n) (g n)}" by(rule finite_subset[rotated]) auto qed qed lemma rel_aeseq_mono: "R \ S \ rel_aeseq R \ rel_aeseq S" by(rule predicate2I; transfer; auto intro: finite_subset[rotated]) lemma rel_aeseq_eq: "rel_aeseq (=) = (=)" by(intro ext; transfer; simp add: aeseq_eq.simps) lemma rel_aeseq_conversep: "rel_aeseq R\\ = (rel_aeseq R)\\" by(simp add: fun_eq_iff; transfer; simp) lemma map_aeseq_parametric: includes lifting_syntax shows "((A ===> B) ===> rel_aeseq A ===> rel_aeseq B) map_aeseq map_aeseq" by(intro rel_funI; transfer; auto elim: finite_subset[rotated] dest: rel_funD) lemma rel_aeseq_distr: "rel_aeseq (R OO S) = rel_aeseq R OO rel_aeseq S" apply(intro ext) apply(transfer fixing: R S) apply(safe) subgoal for f h apply(rule relcomppI[where b="\n. SOME z. R (f n) z \ S z (h n)"]) apply(auto elim!: finite_subset[rotated] intro: someI2) done subgoal for f h g apply(rule finite_subset[where B="{n. \ R (f n) (g n)} \ {n. \ S (g n) (h n)}"]) apply auto done done end