Download lean/OAI/Combinatorics/MatrixRemoval/Consequence.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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1.79 kB
| import OAI.Combinatorics.MatrixRemoval.Model | |
| import OAI.Combinatorics.MatrixRemoval.Asymptotics | |
| namespace OAI | |
| /-! | |
| The sequence of matrix counterexamples rules out every polynomial | |
| removal bound. | |
| -/ | |
| noncomputable section | |
| namespace Problem348 | |
| /-- Exponential decay of the copy density rules out polynomial removal bounds. -/ | |
| theorem no_polynomial_removal_bound_of_sequence | |
| (hseq : ∀ h : ℕ, 1 ≤ h → | |
| let d : ℕ := 386 * h + 2 | |
| let n : ℕ := d * 2 ^ h | |
| ∃ A : BinaryMatrix n, | |
| fixedDistance A ≥ 1 / ((d : ℝ) ^ 2) ∧ | |
| (copyCount fixedH A : ℝ) / ((n : ℝ) ^ 132) ≤ | |
| (1 / ((d : ℝ) ^ 2)) * (1 / ((2 : ℝ) ^ h))) : | |
| ∀ c C : ℝ, 0 < c → 0 < C → | |
| ∃ n : ℕ, 1 ≤ n ∧ | |
| ∃ ε : ℝ, 0 < ε ∧ ε < 1 ∧ | |
| ∃ A : BinaryMatrix n, | |
| fixedDistance A ≥ ε ∧ | |
| (copyCount fixedH A : ℝ) < | |
| c * Real.rpow ε C * ((n : ℝ) ^ 132) := by | |
| intro c C hc _hC | |
| obtain ⟨h, hh, hdecay⟩ := exists_depth_polynomial_decay c C hc | |
| let d : ℕ := 386 * h + 2 | |
| let n : ℕ := d * 2 ^ h | |
| have hd : 1 < d := by dsimp [d]; omega | |
| have hdR : (1 : ℝ) < d := by exact_mod_cast hd | |
| have hdpos : (0 : ℝ) < d := by linarith | |
| have hn : 0 < n := Nat.mul_pos (by omega) (pow_pos (by decide) _) | |
| have hnR : (0 : ℝ) < n := by exact_mod_cast hn | |
| obtain ⟨A, hdist, hcopies⟩ := hseq h hh | |
| refine ⟨n, hn, 1 / ((d : ℝ) ^ 2), by positivity, ?_, A, hdist, ?_⟩ | |
| · apply (div_lt_one (by positivity)).2 | |
| nlinarith | |
| · have hdecay' : (1 / ((d : ℝ) ^ 2)) * (1 / ((2 : ℝ) ^ h)) < | |
| c * Real.rpow (1 / ((d : ℝ) ^ 2)) C := by | |
| simpa [d] using hdecay | |
| exact (div_lt_iff₀ (pow_pos hnR 132)).mp (hcopies.trans_lt hdecay') | |
| end Problem348 | |
| end | |
| end OAI | |