import OAI.Geometry.HeilbronnTriangle.AuxiliarySamplingLaw import OAI.Geometry.HeilbronnTriangle.ParameterSequence namespace OAI noncomputable section namespace Problem355.AuxiliarySampling open scoped BigOperators open Parameters Parameters.PrimeParameterData namespace Law variable {q H : ℕ} [Fact q.Prime] (L : Law q H) theorem density_ratio_le : (q : ℝ) ^ 3 / L.size ≤ 2000 ^ 3 * (q : ℝ) * (H : ℝ) ^ 6 := by have hs : (0 : ℝ) < L.size := by exact_mod_cast L.size_pos have hsize : (q : ℝ) ^ 2 ≤ 2000 ^ 3 * (H : ℝ) ^ 6 * L.size := by exact_mod_cast L.size_lower apply (div_le_iff₀ hs).mpr calc (q : ℝ) ^ 3 = (q : ℝ) * (q : ℝ) ^ 2 := by ring _ ≤ (q : ℝ) * (2000 ^ 3 * (H : ℝ) ^ 6 * L.size) := mul_le_mul_of_nonneg_left hsize (Nat.cast_nonneg q) _ = (2000 ^ 3 * (q : ℝ) * (H : ℝ) ^ 6) * L.size := by ring theorem density_scale_le : (q : ℝ) ^ 3 ≤ (2000 ^ 3 * (q : ℝ) * (H : ℝ) ^ 6) * L.size := by exact (div_le_iff₀ (by exact_mod_cast L.size_pos : (0 : ℝ) < L.size)).mp L.density_ratio_le end Law theorem nonempty_parameterLaw {k r : ℕ} (P : PrimeParameterData k r) : Nonempty (@Law P.q (P.h ^ 2) ⟨P.auxiliary_prime⟩) := by let : Fact P.q.Prime := ⟨P.auxiliary_prime⟩ apply nonempty_law · have hh : 1 ≤ P.h := by have := P.h_ge_three; omega exact one_le_pow₀ hh · exact P.auxiliary_large def parameterLaw {k r : ℕ} (P : PrimeParameterData k r) : @Law P.q (P.h ^ 2) ⟨P.auxiliary_prime⟩ := Classical.choice (nonempty_parameterLaw P) section PrimeParameters variable {k r : ℕ} (P : PrimeParameterData k r) [Fact P.q.Prime] theorem density_ratio_le_parameter (L : Law P.q (P.h ^ 2)) : (P.q : ℝ) ^ 3 / L.size ≤ 2000 ^ 3 * (P.q : ℝ) * (P.h : ℝ) ^ 12 := by have h := L.density_ratio_le push_cast at h convert h using 1 ; ring theorem sets_nonempty_parameter (L : Law P.q (P.h ^ 2)) (ω : L.Outcome) : (L.sets ω).Nonempty := by apply Finset.card_pos.mp rw [L.sets_card] exact L.size_pos theorem weight_le_four_parameter (L : Law P.q (P.h ^ 2)) (p : Fin 3 → (Fin 3 → ZMod P.q)) (i j : Fin 3) (hp : p i ≠ p j) : LiftingProbability.auxiliaryWeight P.q L.size L.weight L.sets p ≤ (4 * 2000 ^ 3) * (P.q : ℝ) * (P.h : ℝ) ^ 12 := by calc LiftingProbability.auxiliaryWeight P.q L.size L.weight L.sets p ≤ 4 * ((P.q : ℝ) ^ 3 / L.size) := L.weight_le_four p i j hp _ ≤ 4 * (2000 ^ 3 * (P.q : ℝ) * (P.h : ℝ) ^ 12) := mul_le_mul_of_nonneg_left (density_ratio_le_parameter P L) (by norm_num) _ = (4 * 2000 ^ 3) * (P.q : ℝ) * (P.h : ℝ) ^ 12 := by ring theorem weight_le_two_parameter (L : Law P.q (P.h ^ 2)) (p : Fin 3 → (Fin 3 → ZMod P.q)) : LiftingProbability.auxiliaryWeight P.q L.size L.weight L.sets p ≤ (2 * 2000 ^ 6) * (P.q : ℝ) ^ 2 * (P.h : ℝ) ^ 24 := by have hratio := density_ratio_le_parameter P L have hsq : ((P.q : ℝ) ^ 3 / L.size) ^ 2 ≤ (2000 ^ 3 * (P.q : ℝ) * (P.h : ℝ) ^ 12) ^ 2 := by gcongr calc LiftingProbability.auxiliaryWeight P.q L.size L.weight L.sets p ≤ 2 * ((P.q : ℝ) ^ 3 / L.size) ^ 2 := L.weight_le_two p _ ≤ 2 * (2000 ^ 3 * (P.q : ℝ) * (P.h : ℝ) ^ 12) ^ 2 := mul_le_mul_of_nonneg_left hsq (by norm_num) _ = (2 * 2000 ^ 6) * (P.q : ℝ) ^ 2 * (P.h : ℝ) ^ 24 := by ring end PrimeParameters theorem parameterLaw_density_ratio_le {k r : ℕ} (P : PrimeParameterData k r) : (P.q : ℝ) ^ 3 / (@Law.size P.q (P.h ^ 2) ⟨P.auxiliary_prime⟩ (parameterLaw P) : ℝ) ≤ 2000 ^ 3 * (P.q : ℝ) * (P.h : ℝ) ^ 12 := by let : Fact P.q.Prime := ⟨P.auxiliary_prime⟩ exact density_ratio_le_parameter P (parameterLaw P) end Problem355.AuxiliarySampling end end OAI