(* Title: HOL/Number_Theory/Gauss.thy Authors: Jeremy Avigad, David Gray, and Adam Kramer
Ported by lcp but unfinished.
*)
section \<open>Gauss' Lemma\<close>
theory Gauss imports Euler_Criterion begin
lemma cong_prime_prod_zero_nat: "[a * b = 0] (mod p) \ prime p \ [a = 0] (mod p) \ [b = 0] (mod p)" for a :: nat by (auto simp add: cong_altdef_nat prime_dvd_mult_iff)
lemma cong_prime_prod_zero_int: "[a * b = 0] (mod p) \ prime p \ [a = 0] (mod p) \ [b = 0] (mod p)" for a :: int by (simp add: cong_0_iff prime_dvd_mult_iff)
definition"A = {0::int <.. ((int p - 1) div 2)}" definition"B = (\x. x * a) ` A" definition"C = (\x. x mod p) ` B" definition"D = C \ {.. (int p - 1) div 2}" definition"E = C \ {(int p - 1) div 2 <..}" definition"F = (\x. (int p - x)) ` E"
subsection \<open>Basic properties of p\<close>
lemma odd_p: "odd p" by (metis p_prime p_ge_2 prime_odd_nat)
lemma p_minus_one_l: "(int p - 1) div 2 < p" proof - have"(p - 1) div 2 \ (p - 1) div 1" by (metis div_by_1 div_le_dividend) alsohave"\ = p - 1" by simp finallyshow ?thesis using p_ge_2 by arith qed
lemma p_eq2: "int p = (2 * ((int p - 1) div 2)) + 1" using odd_p p_ge_2 nonzero_mult_div_cancel_left [of 2 "p - 1"] by simp
lemma p_odd_int: obtains z :: int where"int p = 2 * z + 1""0 < z" proof let ?z = "(int p - 1) div 2" show"int p = 2 * ?z + 1"by (rule p_eq2) show"0 < ?z" using p_ge_2 by linarith qed
subsection \<open>Basic Properties of the Gauss Sets\<close>
lemma finite_A: "finite A" by (auto simp add: A_def)
lemma finite_B: "finite B" by (auto simp add: B_def finite_A)
lemma finite_C: "finite C" by (auto simp add: C_def finite_B)
lemma finite_D: "finite D" by (auto simp add: D_def finite_C)
lemma finite_E: "finite E" by (auto simp add: E_def finite_C)
lemma finite_F: "finite F" by (auto simp add: F_def finite_E)
lemma C_eq: "C = D \ E" by (auto simp add: C_def D_def E_def)
lemma A_card_eq: "card A = nat ((int p - 1) div 2)" by (auto simp add: A_def)
lemma inj_on_xa_A: "inj_on (\x. x * a) A" using a_nonzero by (simp add: A_def inj_on_def)
definition ResSet :: "int \ int set \ bool" where"ResSet m X \ (\y1 y2. y1 \ X \ y2 \ X \ [y1 = y2] (mod m) \ y1 = y2)"
lemma ResSet_image: "0 < m \ ResSet m A \ \x \ A. \y \ A. ([f x = f y](mod m) \ x = y) \ ResSet m (f ` A)" by (auto simp add: ResSet_def)
lemma A_res: "ResSet p A" using p_ge_2 by (auto simp add: A_def ResSet_def intro!: cong_less_imp_eq_int)
lemma B_res: "ResSet p B" proof - have *: "x = y" if a: "[x * a = y * a] (mod p)" and b: "0 < x" and c: "x \ (int p - 1) div 2" and d: "0 < y" and e: "y \ (int p - 1) div 2" for x y proof - from p_a_relprime have"\ p dvd a" by (simp add: cong_0_iff) with p_prime prime_imp_coprime [of _ "nat \a\"] have"coprime a (int p)" by (simp_all add: ac_simps) with a cong_mult_rcancel [of a "int p" x y] have"[x = y] (mod p)" by simp with cong_less_imp_eq_int [of x y p] p_minus_one_l
order_le_less_trans [of x "(int p - 1) div 2" p]
order_le_less_trans [of y "(int p - 1) div 2" p] show ?thesis by (metis b c cong_less_imp_eq_int d e zero_less_imp_eq_int of_nat_0_le_iff) qed show ?thesis using p_ge_2 p_a_relprime p_minus_one_l by (metis "*" A_def A_res B_def GAUSS.ResSet_image GAUSS_axioms greaterThanAtMost_iff odd_p odd_pos of_nat_0_less_iff) qed
lemma SR_B_inj: "inj_on (\x. x mod p) B" proof - have False if a: "x * a mod p = y * a mod p" and b: "0 < x" and c: "x \ (int p - 1) div 2" and d: "0 < y" and e: "y \ (int p - 1) div 2" and f: "x \ y" for x y proof - from a have a': "[x * a = y * a](mod p)" using cong_def by blast from p_a_relprime have"\p dvd a" by (simp add: cong_0_iff) with p_prime prime_imp_coprime [of _ "nat \a\"] have"coprime a (int p)" by (simp_all add: ac_simps) with a' cong_mult_rcancel [of a "int p" x y] have"[x = y] (mod p)"by simp with cong_less_imp_eq_int [of x y p] p_minus_one_l
order_le_less_trans [of x "(int p - 1) div 2" p]
order_le_less_trans [of y "(int p - 1) div 2" p] have"x = y" by (metis b c cong_less_imp_eq_int d e zero_less_imp_eq_int of_nat_0_le_iff) thenshow ?thesis by (simp add: f) qed thenshow ?thesis by (auto simp add: B_def inj_on_def A_def) metis qed
lemma nonzero_mod_p: "0 < x \ x < int p \ [x \ 0](mod p)" for x :: int by (simp add: cong_def)
lemma A_ncong_p: "x \ A \ [x \ 0](mod p)" by (rule nonzero_mod_p) (auto simp add: A_def)
lemma A_greater_zero: "x \ A \ 0 < x" by (auto simp add: A_def)
lemma B_ncong_p: "x \ B \ [x \ 0](mod p)" by (auto simp: B_def p_prime p_a_relprime A_ncong_p dest: cong_prime_prod_zero_int)
lemma B_greater_zero: "x \ B \ 0 < x" using a_nonzero by (auto simp add: B_def A_greater_zero)
lemma B_mod_greater_zero: "0 < x mod int p"if"x \ B" proof - from that have"x mod int p \ 0" using B_ncong_p cong_def cong_mult_self_left by blast moreoverfrom that have"0 < x" by (rule B_greater_zero) thenhave"0 \ x mod int p" by (auto simp add: mod_int_pos_iff intro: neq_le_trans) ultimatelyshow ?thesis by simp qed
lemma C_greater_zero: "y \ C \ 0 < y" by (auto simp add: C_def B_mod_greater_zero)
lemma F_subset: "F \ {x. 0 < x \ x \ ((int p - 1) div 2)}" using p_ge_2 by (auto simp add: F_def E_def C_def intro: p_odd_int)
lemma D_subset: "D \ {x. 0 < x \ x \ ((p - 1) div 2)}" by (auto simp add: D_def C_greater_zero)
lemma F_eq: "F = {x. \y \ A. (x = p - ((y * a) mod p) \ (int p - 1) div 2 < (y * a) mod p)}" by (auto simp add: F_def E_def D_def C_def B_def A_def)
lemma D_eq: "D = {x. \y \ A. (x = (y * a) mod p \ (y * a) mod p \ (int p - 1) div 2)}" by (auto simp add: D_def C_def B_def A_def)
lemma all_A_relprime: "coprime x p"if"x \ A" proof - from A_ncong_p [OF that] have"\ int p dvd x" by (simp add: cong_0_iff) with p_prime show ?thesis by (metis (no_types) coprime_commute prime_imp_coprime prime_nat_int_transfer) qed
lemma A_prod_relprime: "coprime (prod id A) p" by (auto intro: prod_coprime_left all_A_relprime)
subsection \<open>Relationships Between Gauss Sets\<close>
lemma StandardRes_inj_on_ResSet: "ResSet m X \ inj_on (\b. b mod m) X" by (auto simp add: ResSet_def inj_on_def cong_def)
lemma B_card_eq_A: "card B = card A" using finite_A by (simp add: finite_A B_def inj_on_xa_A card_image)
lemma B_card_eq: "card B = nat ((int p - 1) div 2)" by (simp add: B_card_eq_A A_card_eq)
lemma F_card_eq_E: "card F = card E" using finite_E by (simp add: F_def card_image)
lemma C_card_eq_B: "card C = card B" proof - have"inj_on (\x. x mod p) B" by (metis SR_B_inj) thenshow ?thesis by (metis C_def card_image) qed
lemma D_E_disj: "D \ E = {}" by (auto simp add: D_def E_def)
lemma C_card_eq_D_plus_E: "card C = card D + card E" by (auto simp add: C_eq card_Un_disjoint D_E_disj finite_D finite_E)
lemma C_prod_eq_D_times_E: "prod id E * prod id D = prod id C" by (metis C_eq D_E_disj finite_D finite_E inf_commute prod.union_disjoint sup_commute)
lemma C_B_zcong_prod: "[prod id C = prod id B] (mod p)" apply (auto simp add: C_def) apply (insert finite_B SR_B_inj) apply (drule prod.reindex [of "\x. x mod int p" B id]) apply auto apply (rule cong_prod) apply (auto simp add: cong_def) done
lemma F_D_disj: "(F \ D) = {}" proof (auto simp add: F_eq D_eq) fix y z :: int assume"p - (y * a) mod p = (z * a) mod p" thenhave"[(y * a) mod p + (z * a) mod p = 0] (mod p)" by (metis add.commute diff_eq_eq dvd_refl cong_def dvd_eq_mod_eq_0 mod_0) moreoverhave"[y * a = (y * a) mod p] (mod p)" by (metis cong_def mod_mod_trivial) ultimatelyhave"[a * (y + z) = 0] (mod p)" by (metis cong_def mod_add_left_eq mod_add_right_eq mult.commute ring_class.ring_distribs(1)) with p_prime a_nonzero p_a_relprime have a: "[y + z = 0] (mod p)" by (auto dest!: cong_prime_prod_zero_int) assume b: "y \ A" and c: "z \ A" thenhave"0 < y + z" by (auto simp: A_def) moreoverfrom b c p_eq2 have"y + z < p" by (auto simp: A_def) ultimatelyshow False by (metis a nonzero_mod_p) qed
lemma F_Un_D_card: "card (F \ D) = nat ((p - 1) div 2)" proof - have"card (F \ D) = card E + card D" by (auto simp add: finite_F finite_D F_D_disj card_Un_disjoint F_card_eq_E) thenhave"card (F \ D) = card C" by (simp add: C_card_eq_D_plus_E) thenshow"card (F \ D) = nat ((p - 1) div 2)" by (simp add: C_card_eq_B B_card_eq) qed
lemma F_Un_D_eq_A: "F \ D = A" using finite_A F_Un_D_subset A_card_eq F_Un_D_card by (auto simp add: card_seteq)
lemma prod_D_F_eq_prod_A: "prod id D * prod id F = prod id A" by (metis F_D_disj F_Un_D_eq_A Int_commute Un_commute finite_D finite_F prod.union_disjoint)
lemma prod_F_zcong: "[prod id F = ((-1) ^ (card E)) * prod id E] (mod p)" proof - have FE: "prod id F = prod ((-) p) E" using finite_E prod.reindex[OF inj_on_diff_left] by (auto simp add: F_def) thenhave"\x \ E. [(p-x) mod p = - x](mod p)" by (metis cong_def minus_mod_self1 mod_mod_trivial) thenhave"[prod ((\x. x mod p) \ ((-) p)) E = prod (uminus) E](mod p)" using finite_E p_ge_2 cong_prod [of E "(\x. x mod p) \ ((-) p)" uminus p] by auto thenhave two: "[prod id F = prod (uminus) E](mod p)" by (metis FE cong_cong_mod_int cong_refl cong_prod minus_mod_self1) have"prod uminus E = (-1) ^ card E * prod id E" using finite_E by (induct set: finite) auto with two show ?thesis by simp qed
subsection \<open>Gauss' Lemma\<close>
lemma aux: "prod id A * (- 1) ^ card E * a ^ card A * (- 1) ^ card E = prod id A * a ^ card A" by auto
theorem pre_gauss_lemma: "[a ^ nat((int p - 1) div 2) = (-1) ^ (card E)] (mod p)" proof - have"[prod id A = prod id F * prod id D](mod p)" by (auto simp: prod_D_F_eq_prod_A mult.commute cong del: prod.cong_simp) thenhave"[prod id A = ((-1)^(card E) * prod id E) * prod id D] (mod p)" by (rule cong_trans) (metis cong_scalar_right prod_F_zcong) thenhave"[prod id A = ((-1)^(card E) * prod id C)] (mod p)" using finite_D finite_E by (auto simp add: ac_simps C_prod_eq_D_times_E C_eq D_E_disj prod.union_disjoint) thenhave"[prod id A = ((-1)^(card E) * prod id B)] (mod p)" by (rule cong_trans) (metis C_B_zcong_prod cong_scalar_left) thenhave"[prod id A = ((-1)^(card E) * prod id ((\x. x * a) ` A))] (mod p)" by (simp add: B_def) thenhave"[prod id A = ((-1)^(card E) * prod (\x. x * a) A)] (mod p)" by (simp add: inj_on_xa_A prod.reindex) moreoverhave"prod (\x. x * a) A = prod (\x. a) A * prod id A" using finite_A by (induct set: finite) auto ultimatelyhave"[prod id A = ((-1)^(card E) * (prod (\x. a) A * prod id A))] (mod p)" by simp thenhave"[prod id A = ((-1)^(card E) * a^(card A) * prod id A)](mod p)" by (rule cong_trans)
(simp add: cong_scalar_left cong_scalar_right finite_A ac_simps) thenhave a: "[prod id A * (-1)^(card E) =
((-1)^(card E) * a^(card A) * prod id A * (-1)^(card E))](mod p)" by (rule cong_scalar_right) thenhave"[prod id A * (-1)^(card E) = prod id A *
(-1)^(card E) * a^(card A) * (-1)^(card E)](mod p)" by (rule cong_trans) (simp add: a ac_simps) thenhave"[prod id A * (-1)^(card E) = prod id A * a^(card A)](mod p)" by (rule cong_trans) (simp add: aux cong del: prod.cong_simp) with A_prod_relprime have"[(- 1) ^ card E = a ^ card A](mod p)" by (metis cong_mult_lcancel) thenshow ?thesis by (simp add: A_card_eq cong_sym) qed
theorem gauss_lemma: "Legendre a p = (-1) ^ (card E)" proof - from euler_criterion p_prime p_ge_2 have"[Legendre a p = a^(nat (((p) - 1) div 2))] (mod p)" by auto moreoverhave"int ((p - 1) div 2) = (int p - 1) div 2" using p_eq2 by linarith thenhave"[a ^ nat (int ((p - 1) div 2)) = a ^ nat ((int p - 1) div 2)] (mod int p)" by force ultimatelyhave"[Legendre a p = (-1) ^ (card E)] (mod p)" using pre_gauss_lemma cong_trans by blast moreoverfrom p_a_relprime have"Legendre a p = 1 \ Legendre a p = -1" by (auto simp add: Legendre_def) moreoverhave"(-1::int) ^ (card E) = 1 \ (-1::int) ^ (card E) = -1" using neg_one_even_power neg_one_odd_power by blast moreoverhave"[1 \ - 1] (mod int p)" using cong_iff_dvd_diff [where'a=int] nonzero_mod_p[of 2] p_odd_int by fastforce ultimatelyshow ?thesis by (auto simp add: cong_sym) qed
end
end
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