Download lean/OAI/NumberTheory/TwoPointCorrelations/FinalMain.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/NumberTheory/TwoPointCorrelations/FinalMain.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/NumberTheory/TwoPointCorrelations/FinalMain.lean
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curl -L -o FinalMain.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/NumberTheory/TwoPointCorrelations/FinalMain.lean
1.46 kB
| import OAI.NumberTheory.TwoPoint.Main | |
| namespace OAI | |
| namespace OrdinaryTwoPointCorrelations | |
| open TwoPointCorrelations | |
| open Filter | |
| theorem liouville_log_saving : | |
| ∃ c : ℝ, 0 < c ∧ ∀ a₁ a₂ b₁ b₂ : ℕ, | |
| 0 < a₁ → 0 < a₂ → a₁ * b₂ ≠ a₂ * b₁ → | |
| ∃ C : ℝ, 0 < C ∧ ∀ X : ℝ, 3 ≤ X → | |
| ‖affineSum liouville liouville a₁ a₂ b₁ b₂ ⌊X⌋₊‖ ≤ | |
| C * X / Real.rpow (Real.log X) c := | |
| TwoPointCorrelations.liouvilleLogSaving | |
| theorem binary_corrected_elliott : | |
| ∀ f₁ f₂ : ℕ → ℂ, Multiplicative f₁ → Multiplicative f₂ → | |
| OneBounded f₁ → OneBounded f₂ → | |
| (UniformlyNonpretentious f₁ ∨ UniformlyNonpretentious f₂) → | |
| ∀ h₁ h₂ : ℕ, h₁ ≠ h₂ → | |
| Tendsto (fun N : ℕ => correlationSum f₁ f₂ h₁ h₂ N / (N : ℂ)) atTop (nhds 0) := | |
| TwoPointCorrelations.binaryCorrectedElliott | |
| theorem affine_corrected_elliott : | |
| ∀ f₁ f₂ : ℕ → ℂ, Multiplicative f₁ → Multiplicative f₂ → | |
| OneBounded f₁ → OneBounded f₂ → | |
| (UniformlyNonpretentious f₁ ∨ UniformlyNonpretentious f₂) → | |
| ∀ a₁ a₂ b₁ b₂ : ℕ, 0 < a₁ → 0 < a₂ → a₁ * b₂ ≠ a₂ * b₁ → | |
| Tendsto (fun N : ℕ => affineSum f₁ f₂ a₁ a₂ b₁ b₂ N / (N : ℂ)) atTop (nhds 0) := | |
| TwoPointCorrelations.affineCorrectedElliott | |
| end OrdinaryTwoPointCorrelations | |
| end OAI | |