lemma less_not_permute[no_atp]: "¬ (x < y ∧ y < x)" by (simp add: not_less linear)
lemma gather_simps[no_atp]: "(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ U. x < y) ∧ x < u ∧ P x) ⟷ (∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ (insert u U). x < y) ∧ P x)" "(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ U. x < y) ∧ l < x ∧ P x) ⟷ (∃x. (∀y ∈ (insert l L). y < x) ∧ (∀y ∈ U. x < y) ∧ P x)" "(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ U. x < y) ∧ x < u) ⟷ (∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ (insert u U). x < y))" "(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ U. x < y) ∧ l < x) ⟷ (∃x. (∀y ∈ (insert l L). y < x) ∧ (∀y ∈ U. x < y))" by auto
lemma gather_start [no_atp]: "(∃x. P x) ⟷ (∃x. (∀y ∈ {}. y < x) ∧ (∀y∈ {}. x < y) ∧ P x)" by simp
text‹Theorems for ‹∃z. ∀x. x 🚫⟶ (P x ⟷ P🪙-🪙∞)›\› lemma minf_lt[no_atp]: "∃z. ∀x. x < z ⟶ (x < t ⟷ True)" by auto lemma minf_gt[no_atp]: "∃z. ∀x. x < z ⟶ (t < x ⟷ False)" by (simp add: not_less) (rule exI[where x="t"], auto simp add: less_le)
lemma minf_le[no_atp]: "∃z. ∀x. x < z ⟶ (x ≤ t ⟷ True)" by (auto simp add: less_le) lemma minf_ge[no_atp]: "∃z. ∀x. x < z ⟶ (t ≤ x ⟷ False)" by (auto simp add: less_le not_less not_le) lemma minf_eq[no_atp]: "∃z. ∀x. x < z ⟶ (x = t ⟷ False)" by auto lemma minf_neq[no_atp]: "∃z. ∀x. x < z ⟶ (x ≠ t ⟷ True)" by auto lemma minf_P[no_atp]: "∃z. ∀x. x < z ⟶ (P ⟷ P)" by blast
text‹Theorems for ‹∃z. ∀x. x 🚫⟶ (P x ⟷ P🪙+🪙∞)›\› lemma pinf_gt[no_atp]: "∃z. ∀x. z < x ⟶ (t < x ⟷ True)" by auto lemma pinf_lt[no_atp]: "∃z. ∀x. z < x ⟶ (x < t ⟷ False)" by (simp add: not_less) (rule exI[where x="t"], auto simp add: less_le)
lemma pinf_ge[no_atp]: "∃z. ∀x. z < x ⟶ (t ≤ x ⟷ True)" by (auto simp add: less_le) lemma pinf_le[no_atp]: "∃z. ∀x. z < x ⟶ (x ≤ t ⟷ False)" by (auto simp add: less_le not_less not_le) lemma pinf_eq[no_atp]: "∃z. ∀x. z < x ⟶ (x = t ⟷ False)"by auto lemma pinf_neq[no_atp]: "∃z. ∀x. z < x ⟶ (x ≠ t ⟷ True)"by auto lemma pinf_P[no_atp]: "∃z. ∀x. z < x ⟶ (P ⟷ P)"by blast
lemma nmi_lt[no_atp]: "t ∈ U ==>∀x. ¬True ∧ x < t ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_gt[no_atp]: "t ∈ U ==>∀x. ¬False ∧ t < x ⟶ (∃u∈ U. u ≤ x)" by (auto simp add: le_less) lemma nmi_le[no_atp]: "t ∈ U ==>∀x. ¬True ∧ x≤ t ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_ge[no_atp]: "t ∈ U ==>∀x. ¬False ∧ t≤ x ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_eq[no_atp]: "t ∈ U ==>∀x. ¬False ∧ x = t ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_neq[no_atp]: "t ∈ U ==>∀x. ¬True ∧ x ≠ t ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_P[no_atp]: "∀x. ~P ∧ P ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_conj[no_atp]: "[∀x. ¬P1' ∧ P1 x ⟶ (∃u∈ U. u ≤ x) ; ∀x. ¬P2' ∧ P2 x ⟶ (∃u∈ U. u ≤ x)]==> ∀x. ¬(P1' ∧ P2') ∧ (P1 x ∧ P2 x) ⟶ (∃u∈ U. u ≤ x)"by auto lemma nmi_disj[no_atp]: "[∀x. ¬P1' ∧ P1 x ⟶ (∃u∈ U. u ≤ x) ; ∀x. ¬P2' ∧ P2 x ⟶ (∃u∈ U. u ≤ x)]==> ∀x. ¬(P1' ∨ P2') ∧ (P1 x ∨ P2 x) ⟶ (∃u∈ U. u ≤ x)"by auto
lemma npi_lt[no_atp]: "t ∈ U ==>∀x. ¬False ∧ x < t ⟶ (∃u∈ U. x ≤ u)"by (auto simp add: le_less) lemma npi_gt[no_atp]: "t ∈ U ==>∀x. ¬True ∧ t < x ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_le[no_atp]: "t ∈ U ==>∀x. ¬False ∧ x ≤ t ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_ge[no_atp]: "t ∈ U ==>∀x. ¬True ∧ t ≤ x ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_eq[no_atp]: "t ∈ U ==>∀x. ¬False ∧ x = t ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_neq[no_atp]: "t ∈ U ==>∀x. ¬True ∧ x ≠ t ⟶ (∃u∈ U. x ≤ u )"by auto lemma npi_P[no_atp]: "∀x. ~P ∧ P ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_conj[no_atp]: "[∀x. ¬P1' ∧ P1 x ⟶ (∃u∈ U. x ≤ u) ; ∀x. ¬P2' ∧ P2 x ⟶(∃u∈ U. x ≤ u)] ==>∀x. ¬(P1' ∧ P2') ∧ (P1 x ∧ P2 x) ⟶ (∃u∈ U. x ≤ u)"by auto lemma npi_disj[no_atp]: "[∀x. ¬P1' ∧ P1 x ⟶ (∃u∈ U. x ≤ u) ; ∀x. ¬P2' ∧ P2 x ⟶ (∃u∈ U. x ≤ u)] ==>∀x. ¬(P1' ∨ P2') ∧ (P1 x ∨ P2 x) ⟶ (∃u∈ U. x ≤ u)"by auto
lemma lin_dense_lt[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ x < t ⟶ (∀y. l < y ∧ y < u ⟶ y < t)" by (metis antisym_conv3 order.strict_trans)
lemma lin_dense_gt[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ t < x ⟶ (∀y. l < y ∧ y < u ⟶ t < y)" by (metis antisym_conv3 order.strict_trans)
lemma lin_dense_le[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ x ≤ t ⟶ (∀y. l < y ∧ y < u ⟶ y ≤ t)" by (metis local.less_le_trans local.less_trans local.not_less)
lemma lin_dense_ge[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ t ≤ x ⟶ (∀y. l < y ∧ y < u ⟶ t ≤ y)" by (metis local.le_less_trans local.nle_le not_le)
lemma lin_dense_eq[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ x = t ⟶ (∀y. l < y ∧ y < u ⟶ y = t)" by auto
lemma lin_dense_neq[no_atp]: "t ∈ U ==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ x ≠ t ⟶ (∀y. l < y ∧ y < u ⟶ y ≠ t)" by auto
lemma lin_dense_P[no_atp]: "∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ P ⟶ (∀y. l < y ∧ y < u ⟶ P)" by auto
lemma lin_dense_conj[no_atp]: "[∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ P1 x ⟶ (∀y. l < y ∧ y < u ⟶ P1 y) ; ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ P2 x ⟶ (∀y. l < y ∧ y < u ⟶ P2 y)]==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ (P1 x ∧ P2 x) ⟶ (∀y. l < y ∧ y < u ⟶ (P1 y ∧ P2 y))" by blast
lemma lin_dense_disj[no_atp]: "[∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ P1 x ⟶ (∀y. l < y ∧ y < u ⟶ P1 y) ; ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ P2 x ⟶ (∀y. l < y ∧ y < u ⟶ P2 y)]==> ∀x l u. (∀t. l < t ∧ t < u ⟶ t ∉ U) ∧ l < x ∧ x < u ∧ (P1 x ∨ P2 x) ⟶ (∀y. l < y ∧ y < u ⟶ (P1 y ∨ P2 y))" by blast
lemma npmibnd[no_atp]: "[∀x. ¬ MP ∧ P x ⟶ (∃u∈ U. u ≤ x); ∀x. ¬PP ∧ P x ⟶ (∃u∈ U. x ≤ u)] ==>∀x. ¬ MP ∧¬PP ∧ P x ⟶ (∃u∈ U. ∃u' ∈ U. u ≤ x ∧ x ≤ u')" by auto
lemma finite_set_intervals[no_atp]: assumes px: "P x" and lx: "l ≤ x" and xu: "x ≤ u" and linS: "l∈ S" and uinS: "u ∈ S" and fS:"finite S" and lS: "∀x∈ S. l ≤ x" and Su: "∀x∈ S. x ≤ u" shows"∃a ∈ S. ∃b ∈ S. (∀y. a < y ∧ y < b ⟶ y ∉ S) ∧ a ≤ x ∧ x ≤ b ∧ P x" proof - let ?Mx = "{y. y∈ S ∧ y ≤ x}" let ?xM = "{y. y∈ S ∧ x ≤ y}" let ?a = "Max ?Mx" let ?b = "Min ?xM" have MxS: "?Mx ⊆ S" by blast thenhave fMx: "finite ?Mx" using fS finite_subset by auto from lx linS have linMx: "l ∈ ?Mx" by blast thenhave Mxne: "?Mx ≠ {}" by blast have xMS: "?xM ⊆ S" by blast thenhave fxM: "finite ?xM" using fS finite_subset by auto from xu uinS have linxM: "u ∈ ?xM" by blast thenhave xMne: "?xM ≠ {}" by blast have ax: "?a ≤ x" using Mxne fMx by auto have xb: "x ≤ ?b" using xMne fxM by auto have"?a ∈ ?Mx" using Max_in[OF fMx Mxne] by simp thenhave ainS: "?a ∈ S" using MxS by blast have"?b ∈ ?xM" using Min_in[OF fxM xMne] by simp thenhave binS: "?b ∈ S" using xMS by blast have noy: "∀y. ?a < y ∧ y < ?b ⟶ y ∉ S" using Mxne fMx fxM local.linear xMne by auto from ainS binS noy ax xb px show ?thesis by blast qed
lemma finite_set_intervals2[no_atp]: assumes px: "P x" and lx: "l ≤ x" and xu: "x ≤ u" and linS: "l∈ S" and uinS: "u ∈ S" and fS: "finite S" and lS: "∀x∈ S. l ≤ x" and Su: "∀x∈ S. x ≤ u" shows"(∃s∈ S. P s) ∨ (∃a ∈ S. ∃b ∈ S. (∀y. a < y ∧ y < b ⟶ y ∉ S) ∧ a < x ∧ x < b ∧ P x)" using finite_set_intervals[where P="P", OF px lx xu linS uinS fS lS Su] by (metis local.neq_le_trans)
end
section‹The classical QE after Langford for dense linear orders›
context unbounded_dense_linorder begin
lemma interval_empty_iff: "{y. x < y ∧ y < z} = {} ⟷¬ x < z" by (auto dest: dense)
lemma dlo_qe_bnds[no_atp]: assumes ne: "L ≠ {}" and neU: "U ≠ {}" and fL: "finite L" and fU: "finite U" shows"(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ U. x < y)) = (∀l ∈ L. ∀u ∈ U. l < u)" proof assume H: "∃x. (∀y∈L. y < x) ∧ (∀y∈U. x < y)" thenobtain x where xL: "∀y∈L. y < x"and xU: "∀y∈U. x < y" by blast have"l < u"if l: "l ∈ L"and u: "u ∈ U"for l u usinglocal.dual_order.strict_trans that(1) u xL xU by blast thenshow"∀l∈L. ∀u∈U. l < u"by blast next assume H: "∀l∈L. ∀u∈U. l < u" let ?ML = "Max L" let ?MU = "Min U" from fL ne have th1: "?ML ∈ L"and th1': "∀l∈L. l ≤ ?ML" by auto from fU neU have th2: "?MU ∈ U"and th2': "∀u∈U. ?MU ≤ u" by auto from th1 th2 H have"?ML < ?MU" by auto with dense obtain w where th3: "?ML < w"and th4: "w < ?MU" by blast from th3 th1' have"∀l ∈ L. l < w" by auto moreoverfrom th4 th2' have"∀u ∈ U. w < u" by auto ultimatelyshow"∃x. (∀y∈L. y < x) ∧ (∀y∈U. x < y)" by auto qed
lemma dlo_qe_noub[no_atp]: assumes ne: "L ≠ {}" and fL: "finite L" shows"(∃x. (∀y ∈ L. y < x) ∧ (∀y ∈ {}. x < y)) = True" using fL local.Max_less_iff local.gt_ex by fastforce
lemma dlo_qe_nolb[no_atp]: assumes ne: "U ≠ {}" and fU: "finite U" shows"(∃x. (∀y ∈ {}. y < x) ∧ (∀y ∈ U. x < y)) = True" proof - from lt_ex[of "Min U"] obtain M where M: "M < Min U" by blast from ne fU have"∀x ∈ U. Min U ≤ x" by simp with M have"∀x∈U. M < x" by (auto intro: less_le_trans) thenshow ?thesis by blast qed
lemma exists_neq[no_atp]: "∃(x::'a). x ≠ t""∃(x::'a). t ≠ x" using gt_ex[of t] by auto
section‹Contructive dense linear orders yield QE for linear arithmetic over ordered Fields›
text‹Linear order without upper bounds›
locale linorder_stupid_syntax = linorder begin
notation
less_eq (‹'(⊑')›) and
less_eq (‹(_/ ⊑ _)› [51, 51] 50) and
less (‹'(⊏')›) and
less (‹(_/ ⊏ _)› [51, 51] 50)
end
locale linorder_no_ub = linorder_stupid_syntax + assumes gt_ex: "∃y. less x y" begin
lemma ge_ex[no_atp]: "∃y. x ⊑ y" using gt_ex by auto
text‹Theorems for ‹∃z. ∀x. z ⊏ x ⟶ (P x ⟷ P🪙+🪙∞)›\lemma pinf_conj[no_atp]: assumes ex1: "∃z1. ∀x. z1 ⊏ x ⟶ (P1 x ⟷ P1')" and ex2: "∃z2. ∀x. z2 ⊏ x ⟶ (P2 x ⟷ P2')" shows"∃z. ∀x. z ⊏ x ⟶ ((P1 x ∧ P2 x) ⟷ (P1' ∧ P2'))" by (metis ex1 ex2 local.max_less_iff_conj)
lemma pinf_disj[no_atp]: assumes ex1: "∃z1. ∀x. z1 ⊏ x ⟶ (P1 x ⟷ P1')" and ex2: "∃z2. ∀x. z2 ⊏ x ⟶ (P2 x ⟷ P2')" shows"∃z. ∀x. z ⊏ x ⟶ ((P1 x ∨ P2 x) ⟷ (P1' ∨ P2'))" by (metis ex1 ex2 local.max.strict_boundedE)
lemma pinf_ex[no_atp]: assumes ex: "∃z. ∀x. z ⊏ x ⟶ (P x ⟷ P1)" and p1: P1 shows"∃x. P x" using ex local.gt_ex p1 by auto
end
text‹Linear order without upper bounds›
locale linorder_no_lb = linorder_stupid_syntax + assumes lt_ex: "∃y. less y x" begin
lemma le_ex[no_atp]: "∃y. y ⊑ x" using lt_ex by auto
text‹Theorems for ‹∃z. ∀x. x ⊏ z ⟶ (P x ⟷ P🪙-🪙∞)›\› lemma minf_conj[no_atp]: assumes ex1: "∃z1. ∀x. x ⊏ z1 ⟶ (P1 x ⟷ P1')" and ex2: "∃z2. ∀x. x ⊏ z2 ⟶ (P2 x ⟷ P2')" shows"∃z. ∀x. x ⊏ z ⟶ ((P1 x ∧ P2 x) ⟷ (P1' ∧ P2'))" by (metis ex1 ex2 local.min_less_iff_conj)
lemma minf_disj[no_atp]: assumes ex1: "∃z1. ∀x. x ⊏ z1 ⟶ (P1 x ⟷ P1')" and ex2: "∃z2. ∀x. x ⊏ z2 ⟶ (P2 x ⟷ P2')" shows"∃z. ∀x. x ⊏ z ⟶ ((P1 x ∨ P2 x) ⟷ (P1' ∨ P2'))" by (metis ex1 ex2 local.min_less_iff_conj)
lemma minf_ex[no_atp]: assumes ex: "∃z. ∀x. x ⊏ z ⟶ (P x ⟷ P1)" and p1: P1 shows"∃x. P x" using ex local.lt_ex p1 by auto
end
locale constr_dense_linorder = linorder_no_lb + linorder_no_ub + fixes between assumes between_less: "less x y ==> less x (between x y) ∧ less (between x y) y" and between_same: "between x x = x" begin
sublocale dlo: unbounded_dense_linorder proof (unfold_locales, goal_cases) case (1 x y) thenshow ?case using between_less [of x y] by auto next case 2 thenshow ?caseby (rule lt_ex) next case 3 thenshow ?caseby (rule gt_ex) qed
lemma rinf_U[no_atp]: assumes fU: "finite U" and lin_dense: "∀x l u. (∀t. l ⊏ t ∧ t⊏ u ⟶ t ∉ U) ∧ l⊏ x ∧ x ⊏ u ∧ P x ⟶ (∀y. l ⊏ y ∧ y ⊏ u ⟶ P y )" and nmpiU: "∀x. ¬ MP ∧¬PP ∧ P x ⟶ (∃u∈ U. ∃u' ∈ U. u ⊑ x ∧ x ⊑ u')" and nmi: "¬ MP"and npi: "¬ PP"and ex: "∃x. P x" shows"∃u∈ U. ∃u' ∈ U. P (between u u')" proof - from ex obtain x where px: "P x" by blast from px nmi npi nmpiU obtain u u' where uU: "u∈ U"and uU': "u' ∈ U"and ux: "u ⊑ x"and xu': "x ⊑ u'" by auto from uU have Une: "U ≠ {}" by auto let ?l = "linorder.Min less_eq U" let ?u = "linorder.Max less_eq U" have linM: "?l ∈ U" using fU Une by simp have uinM: "?u ∈ U" using fU Une by simp have lM: "∀t∈ U. ?l ⊑ t" using Une fU by auto have Mu: "∀t∈ U. t ⊑ ?u" using Une fU by auto have th: "?l ⊑ u" using uU Une lM by auto from order_trans[OF th ux] have lx: "?l ⊑ x" . have th: "u' ⊑ ?u" using uU' Une Mu by simp from order_trans[OF xu' th] have xu: "x ⊑ ?u" . from finite_set_intervals2[where P="P",OF px lx xu linM uinM fU lM Mu]
consider u where"u ∈ U""P u" |
t1 t2 where"t1 ∈ U""t2 ∈ U""∀y. t1 ⊏ y ∧ y ⊏ t2 ⟶ y ∉ U""t1 ⊏ x""x ⊏ t2""P x" by blast thenshow ?thesis proof cases case 1 thenshow ?thesis by (metis between_same) next case 2 thenhave t1t2: "t1 ⊏ t2" by order let ?u = "between t1 t2" from between_less t1t2 have t1lu: "t1 ⊏ ?u"and ut2: "?u ⊏ t2"by auto thenshow ?thesis using"2" lin_dense px by blast qed qed
theorem fr_eq[no_atp]: assumes fU: "finite U" and lin_dense: "∀x l u. (∀t. l ⊏ t ∧ t⊏ u ⟶ t ∉ U) ∧ l⊏ x ∧ x ⊏ u ∧ P x ⟶ (∀y. l ⊏ y ∧ y ⊏ u ⟶ P y )" and nmibnd: "∀x. ¬ MP ∧ P x ⟶ (∃u∈ U. u ⊑ x)" and npibnd: "∀x. ¬PP ∧ P x ⟶ (∃u∈ U. x ⊑ u)" and mi: "∃z. ∀x. x ⊏ z ⟶ (P x = MP)"and pi: "∃z. ∀x. z ⊏ x ⟶ (P x = PP)" shows"(∃x. P x) = (MP ∨ PP ∨ (∃u ∈ U. ∃u'∈ U. P (between u u')))"
(is"?E = ?D") proof show ?D if px: ?E proof -
consider "MP ∨ PP" | "¬ MP""¬ PP"by blast thenshow ?thesis proof cases case 1 thenshow ?thesis by blast next case 2 from npmibnd[OF nmibnd npibnd] have nmpiU: "∀x. ¬ MP ∧¬PP ∧ P x ⟶ (∃u∈ U. ∃u' ∈ U. u ⊑ x ∧ x ⊑ u')" . from rinf_U[OF fU lin_dense nmpiU ‹¬ MP›‹¬ PP› px] show ?thesis by blast qed qed show ?E if ?D usinglocal.gt_ex local.lt_ex mi pi that by blast qed
declaration‹ let fun simps phi = map (Morphism.thm phi) [@{thm "not_less"}, @{thm "not_le"}] fun generic_whatis phi = let val [lt, le] = map (Morphism.term phi) [🍋‹(⊏)›,🍋‹(⊑)›] fun h x t = case Thm.term_of t of 🍋‹HOL.eq _ for y z›=> if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Eq else Ferrante_Rackoff_Data.Nox | 🍋‹Not for 🍋‹HOL.eq _ for y z›\› => if Thm.term_of x aconv y then Ferrante_Rackoff_Data.NEq else Ferrante_Rackoff_Data.Nox | b$y$z => if Term.could_unify (b, lt) then if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Lt else if Thm.term_of x aconv z then Ferrante_Rackoff_Data.Gt else Ferrante_Rackoff_Data.Nox else if Term.could_unify (b, le) then if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Le else if Thm.term_of x aconv z then Ferrante_Rackoff_Data.Ge else Ferrante_Rackoff_Data.Nox else Ferrante_Rackoff_Data.Nox | _ => Ferrante_Rackoff_Data.Nox in h end fun ss phi ctxt = simpset_of (put_simpset HOL_ss ctxt |> Simplifier.add_simps (simps phi)) in Ferrante_Rackoff_Data.funs @{thm "ferrack_axiom"} {isolate_conv = K (K (K Thm.reflexive)), whatis = generic_whatis, simpset = ss} end ›
end
ML_file ‹ferrante_rackoff.ML›
method_setup ferrack = ‹ Scan.succeed (SIMPLE_METHOD' o FerranteRackoff.dlo_tac) ›
subsection‹Ferrante and Rackoff algorithm over ordered fields›
lemma neg_prod_lt: fixes c :: "'a::linordered_field" assumes"c < 0" shows"c * x < 0 ⟷ x > 0" by (metis assms mult_less_0_iff mult_neg_neg zero_less_mult_pos)
lemma pos_prod_lt: fixes c :: "'a::linordered_field" assumes"c > 0" shows"c * x < 0 ⟷ x < 0" by (meson assms mult_less_0_iff order_less_imp_not_less)
lemma neg_prod_sum_lt: fixes c :: "'a::linordered_field" assumes"c < 0" shows"c * x + t < 0 ⟷ x > (- 1 / c) * t" using assms by (auto simp add: mult.commute divide_simps)
lemma pos_prod_sum_lt: fixes c :: "'a::linordered_field" assumes"c > 0" shows"c * x + t < 0 ⟷ x < (- 1 / c) * t" using assms by (auto simp add: mult.commute divide_simps)
lemma sum_lt: fixes x :: "'a::ordered_ab_group_add" shows"x + t < 0 ⟷ x < - t" using less_diff_eq[where a= x and b=t and c=0] by simp
lemma neg_prod_le: fixes c :: "'a::linordered_field" assumes"c < 0" shows"c * x ≤ 0 ⟷ x ≥ 0" using assms linorder_not_less mult_le_0_iff by auto
lemma pos_prod_le: fixes c :: "'a::linordered_field" assumes"c > 0" shows"c * x ≤ 0 ⟷ x ≤ 0" using assms linorder_not_less mult_le_0_iff by auto
lemma neg_prod_sum_le: fixes c :: "'a::linordered_field" assumes"c < 0" shows"c * x + t ≤ 0 ⟷ x ≥ (- 1 / c) * t" using assms by (auto simp add: mult.commute divide_simps)
lemma pos_prod_sum_le: fixes c :: "'a::linordered_field" assumes"c > 0" shows"c * x + t ≤ 0 ⟷ x ≤ (- 1 / c) * t" using assms by (auto simp add: mult.commute divide_simps)
lemma sum_le: fixes x :: "'a::ordered_ab_group_add" shows"x + t ≤ 0 ⟷ x ≤ - t" using le_diff_eq[where a= x and b=t and c=0] by simp
lemma nz_prod_eq: fixes c :: "'a::linordered_field" assumes"c ≠ 0" shows"c * x = 0 ⟷ x = 0" using assms by simp
lemma nz_prod_sum_eq: fixes c :: "'a::linordered_field" assumes"c ≠ 0" shows"c * x + t = 0 ⟷ x = (- 1/c) * t" using assms by (auto simp add: mult.commute divide_simps)
lemma sum_eq: fixes x :: "'a::ordered_ab_group_add" shows"x + t = 0 ⟷ x = - t" using eq_diff_eq[where a= x and b=t and c=0] by simp
interpretation class_dense_linordered_field: constr_dense_linorder "(≤)""(<)""λx y. 1/2 * ((x::'a::linordered_field) + y)" by unfold_locales (auto simp add: gt_ex lt_ex)
declaration‹ let fun earlier [] _ = false | earlier (h::t) (x, y) = if h aconvc y then false else if h aconvc x then true else earlier t (x, y); fun earlier_ord vs (x, y) = if x aconvc y then EQUAL else if earlier vs (x, y) then LESS else GREATER; fun dest_frac ct = case Thm.term_of ct of 🍋‹Rings.divide _ for a b›=> Rat.make (snd (HOLogic.dest_number a), snd (HOLogic.dest_number b)) | 🍋‹inverse _ for a›=> Rat.make(1, HOLogic.dest_number a |> snd) | t => Rat.of_int (snd (HOLogic.dest_number t)) fun whatis x ct = case Thm.term_of ct of 🍋‹plus _ for 🍋‹times _ for _ y›_› => if y aconv Thm.term_of x then ("c*x+t",[(funpow 2 Thm.dest_arg1) ct, Thm.dest_arg ct]) else ("Nox",[]) | 🍋‹plus _ for y _›=> if y aconv Thm.term_of x then ("x+t",[Thm.dest_arg ct]) else ("Nox",[]) | 🍋‹times _ for _ y›=> if y aconv Thm.term_of x then ("c*x",[Thm.dest_arg1 ct]) else ("Nox",[]) | t => if t aconv Thm.term_of x then ("x",[]) else ("Nox",[]); local val sum_lt = mk_meta_eq @{thm sum_lt} val sum_le = mk_meta_eq @{thm sum_le} val sum_eq = mk_meta_eq @{thm sum_eq} val neg_prod_sum_lt = mk_meta_eq @{thm neg_prod_sum_lt} val pos_prod_sum_lt = mk_meta_eq @{thm pos_prod_sum_lt} val neg_prod_sum_le = mk_meta_eq @{thm neg_prod_sum_le} val pos_prod_sum_le = mk_meta_eq @{thm pos_prod_sum_le} val neg_prod_lt = mk_meta_eq @{thm neg_prod_lt} val pos_prod_lt = mk_meta_eq @{thm pos_prod_lt} val neg_prod_le = mk_meta_eq @{thm neg_prod_le} val pos_prod_le = mk_meta_eq @{thm pos_prod_le} val nz_prod_sum_eq = mk_meta_eq @{thm nz_prod_sum_eq} val nz_prod_eq = mk_meta_eq @{thm nz_prod_eq} in fun xnormalize_conv ctxt [] ct = Thm.reflexive ct | xnormalize_conv ctxt (vs as (x::_)) ct = case Thm.term_of ct of 🍋‹less _ for _ 🍋‹zero_class.zero _›\› => (case whatis x (Thm.dest_arg1 ct) of ("c*x+t",[c,t]) => let val cr = dest_frac c val clt = Thm.dest_fun2 ct val cz = Thm.dest_arg ct val neg = cr 🚫0 val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (if neg then Thm.apply (Thm.apply clt c) cz else Thm.apply (Thm.apply clt cz) c)) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val th = Thm.implies_elim (Thm.instantiate' [SOME (Thm.ctyp_of_cterm x)] (map SOME [c,x,t]) (if neg then neg_prod_sum_lt else pos_prod_sum_lt)) cth val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("x+t",[t]) => let val T = Thm.ctyp_of_cterm x val th = Thm.instantiate' [SOME T] [SOME x, SOME t] sum_lt val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("c*x",[c]) => let val cr = dest_frac c val clt = Thm.dest_fun2 ct val cz = Thm.dest_arg ct val neg = cr 🚫0 val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (if neg then Thm.apply (Thm.apply clt c) cz else Thm.apply (Thm.apply clt cz) c)) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val th = Thm.implies_elim (Thm.instantiate' [SOME (Thm.ctyp_of_cterm x)] (map SOME [c,x]) (if neg then neg_prod_lt else pos_prod_lt)) cth val rth = th in rth end | _ => Thm.reflexive ct) | 🍋‹less_eq _ for _ 🍋‹zero_class.zero _›\› => (case whatis x (Thm.dest_arg1 ct) of ("c*x+t",[c,t]) => let val T = Thm.typ_of_cterm x val cT = Thm.ctyp_of_cterm x val cr = dest_frac c val clt = Thm.cterm_of ctxt 🍋‹less T› val cz = Thm.dest_arg ct val neg = cr 🚫0 val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (if neg then Thm.apply (Thm.apply clt c) cz else Thm.apply (Thm.apply clt cz) c)) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val th = Thm.implies_elim (Thm.instantiate' [SOME cT] (map SOME [c,x,t]) (if neg then neg_prod_sum_le else pos_prod_sum_le)) cth val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("x+t",[t]) => let val T = Thm.ctyp_of_cterm x val th = Thm.instantiate' [SOME T] [SOME x, SOME t] sum_le val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("c*x",[c]) => let val T = Thm.typ_of_cterm x val cT = Thm.ctyp_of_cterm x val cr = dest_frac c val clt = Thm.cterm_of ctxt 🍋‹less T› val cz = Thm.dest_arg ct val neg = cr 🚫0 val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (if neg then Thm.apply (Thm.apply clt c) cz else Thm.apply (Thm.apply clt cz) c)) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val th = Thm.implies_elim (Thm.instantiate' [SOME (Thm.ctyp_of_cterm x)] (map SOME [c,x]) (if neg then neg_prod_le else pos_prod_le)) cth val rth = th in rth end | _ => Thm.reflexive ct) | 🍋‹HOL.eq _ for _ 🍋‹zero_class.zero _›\› => (case whatis x (Thm.dest_arg1 ct) of ("c*x+t",[c,t]) => let val T = Thm.ctyp_of_cterm x val cr = dest_frac c val ceq = Thm.dest_fun2 ct val cz = Thm.dest_arg ct val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (Thm.apply 🍋‹Not›(Thm.apply (Thm.apply ceq c) cz))) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val th = Thm.implies_elim (Thm.instantiate' [SOME T] (map SOME [c,x,t]) nz_prod_sum_eq) cth val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("x+t",[t]) => let val T = Thm.ctyp_of_cterm x val th = Thm.instantiate' [SOME T] [SOME x, SOME t] sum_eq val rth = Conv.fconv_rule (Conv.arg_conv (Conv.binop_conv (Semiring_Normalizer.semiring_normalize_ord_conv ctxt (earlier_ord vs)))) th in rth end | ("c*x",[c]) => let val T = Thm.ctyp_of_cterm x val cr = dest_frac c val ceq = Thm.dest_fun2 ct val cz = Thm.dest_arg ct val cthp = Simplifier.rewrite ctxt (HOLogic.mk_judgment (Thm.apply 🍋‹Not›(Thm.apply (Thm.apply ceq c) cz))) val cth = Thm.equal_elim (Thm.symmetric cthp) TrueI val rth = Thm.implies_elim (Thm.instantiate' [SOME T] (map SOME [c,x]) nz_prod_eq) cth in rth end | _ => Thm.reflexive ct); end local val less_iff_diff_less_0 = mk_meta_eq @{thm "less_iff_diff_less_0"} val le_iff_diff_le_0 = mk_meta_eq @{thm "le_iff_diff_le_0"} val eq_iff_diff_eq_0 = mk_meta_eq @{thm "eq_iff_diff_eq_0"} val ss = simpset_of 🍋 in fun field_isolate_conv phi ctxt vs ct = case Thm.term_of ct of 🍋‹less _ for a b›=> let val (ca,cb) = Thm.dest_binop ct val T = Thm.ctyp_of_cterm ca val th = Thm.instantiate' [SOME T] [SOME ca, SOME cb] less_iff_diff_less_0 val nth = Conv.fconv_rule (Conv.arg_conv (Conv.arg1_conv (Semiring_Normalizer.semiring_normalize_ord_conv (put_simpset ss ctxt) (earlier_ord vs)))) th val rth = Thm.transitive nth (xnormalize_conv ctxt vs (Thm.rhs_of nth)) in rth end | 🍋‹less_eq _ for a b›=> let val (ca,cb) = Thm.dest_binop ct val T = Thm.ctyp_of_cterm ca val th = Thm.instantiate' [SOME T] [SOME ca, SOME cb] le_iff_diff_le_0 val nth = Conv.fconv_rule (Conv.arg_conv (Conv.arg1_conv (Semiring_Normalizer.semiring_normalize_ord_conv (put_simpset ss ctxt) (earlier_ord vs)))) th val rth = Thm.transitive nth (xnormalize_conv ctxt vs (Thm.rhs_of nth)) in rth end | 🍋‹HOL.eq _ for a b›=> let val (ca,cb) = Thm.dest_binop ct val T = Thm.ctyp_of_cterm ca val th = Thm.instantiate' [SOME T] [SOME ca, SOME cb] eq_iff_diff_eq_0 val nth = Conv.fconv_rule (Conv.arg_conv (Conv.arg1_conv (Semiring_Normalizer.semiring_normalize_ord_conv (put_simpset ss ctxt) (earlier_ord vs)))) th val rth = Thm.transitive nth (xnormalize_conv ctxt vs (Thm.rhs_of nth)) in rth end | 🍋‹Not for 🍋‹HOL.eq _ for a b›\› => Conv.arg_conv (field_isolate_conv phi ctxt vs) ct | _ => Thm.reflexive ct end; fun classfield_whatis phi = let fun h x t = case Thm.term_of t of 🍋‹HOL.eq _ for y z›=> if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Eq else Ferrante_Rackoff_Data.Nox | 🍋‹Not for 🍋‹HOL.eq _ for y z›\› => if Thm.term_of x aconv y then Ferrante_Rackoff_Data.NEq else Ferrante_Rackoff_Data.Nox | 🍋‹less _ for y z›=> if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Lt else if Thm.term_of x aconv z then Ferrante_Rackoff_Data.Gt else Ferrante_Rackoff_Data.Nox | 🍋‹less_eq _ for y z›=> if Thm.term_of x aconv y then Ferrante_Rackoff_Data.Le else if Thm.term_of x aconv z then Ferrante_Rackoff_Data.Ge else Ferrante_Rackoff_Data.Nox | _ => Ferrante_Rackoff_Data.Nox in h end; fun class_field_ss phi ctxt = simpset_of (put_simpset HOL_basic_ss ctxt |> Simplifier.add_simps ([@{thm "linorder_not_less"}, @{thm "linorder_not_le"}]) |> fold Splitter.add_split [@{thm "abs_split"}, @{thm "split_max"}, @{thm "split_min"}]) in Ferrante_Rackoff_Data.funs @{thm "class_dense_linordered_field.ferrack_axiom"} {isolate_conv = field_isolate_conv, whatis = classfield_whatis, simpset = class_field_ss} end ›
end
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