Download lean/OAI/Geometry/HeilbronnTriangle/AuxiliarySamplingParameters.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/HeilbronnTriangle/AuxiliarySamplingParameters.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Geometry/HeilbronnTriangle/AuxiliarySamplingParameters.lean
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curl -L -o AuxiliarySamplingParameters.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Geometry/HeilbronnTriangle/AuxiliarySamplingParameters.lean
3.83 kB
| 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 | |