Download lean/OAI/Computability/VertexCover/PCP/FinalConstants.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.57 kB
| import Mathlib | |
| import OAI.Computability.VertexCover.PCP.Preprocessing | |
| namespace OAI | |
| namespace UniqueGames.Foundations.PCP.FinalConstants | |
| def alphabet : Nat := 64 | |
| def compositionLoss : Nat := 12288 | |
| def denominator : Nat := 16 * alphabet ^ 4 * 66 * compositionLoss | |
| def windowHalf : Nat := denominator * Preprocessing.sizeFactor | |
| def windowSize : Nat := 2 * windowHalf + 1 | |
| def smoothingScale : Nat := 4 * alphabet * windowHalf | |
| def endpointLength : Nat := smoothingScale ^ 2 | |
| def walkLength : Nat := 2 * endpointLength + 1 | |
| noncomputable def gain : ℝ := (windowSize : ℝ) / denominator | |
| noncomputable def cap : ℝ := 1 / (walkLength : ℝ) | |
| theorem denominator_positive : 0 < denominator := by | |
| norm_num [denominator, alphabet, compositionLoss] | |
| theorem windowHalf_positive : 0 < windowHalf := | |
| Nat.mul_pos denominator_positive Preprocessing.sizeFactor_positive | |
| theorem walkLength_positive : 0 < walkLength := by | |
| simp [walkLength] | |
| theorem gain_large : 2 * (Preprocessing.sizeFactor : ℝ) ≤ gain := by | |
| have hd : (0 : ℝ) < denominator := by exact_mod_cast denominator_positive | |
| apply (le_div_iff₀ hd).2 | |
| simp only [windowSize, windowHalf, Nat.cast_add, Nat.cast_mul, | |
| Nat.cast_ofNat] | |
| nlinarith | |
| theorem cap_positive : 0 < cap := by | |
| exact one_div_pos.mpr (by exact_mod_cast walkLength_positive) | |
| theorem cap_le_one : cap ≤ 1 := by | |
| apply (div_le_one (by exact_mod_cast walkLength_positive)).2 | |
| exact_mod_cast walkLength_positive | |
| theorem composed_gap (epsilon : ℝ) (he : 0 ≤ epsilon) : | |
| min (2 * epsilon) cap ≤ | |
| gain * min (epsilon / (Preprocessing.sizeFactor : ℝ)) | |
| (1 / (walkLength : ℝ)) := by | |
| have hs : (0 : ℝ) < Preprocessing.sizeFactor := by | |
| exact_mod_cast Preprocessing.sizeFactor_positive | |
| have hs1 : (1 : ℝ) ≤ Preprocessing.sizeFactor := by | |
| exact_mod_cast Preprocessing.sizeFactor_positive | |
| have hg : 0 ≤ gain := le_trans (by positivity) gain_large | |
| rw [mul_min_of_nonneg _ _ hg] | |
| apply min_le_min | |
| · calc | |
| 2 * epsilon = (2 * (Preprocessing.sizeFactor : ℝ)) * | |
| (epsilon / (Preprocessing.sizeFactor : ℝ)) := by field_simp | |
| _ ≤ gain * (epsilon / (Preprocessing.sizeFactor : ℝ)) := | |
| mul_le_mul_of_nonneg_right gain_large (div_nonneg he hs.le) | |
| · change cap ≤ gain * cap | |
| have hgain : 1 ≤ gain := by linarith [gain_large] | |
| simpa only [one_mul] using mul_le_mul_of_nonneg_right hgain cap_positive.le | |
| end UniqueGames.Foundations.PCP.FinalConstants | |
| end OAI | |