Download lean/OAI/Probability/GaussianReplacement/Basic.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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2.91 kB
| import Mathlib | |
| namespace OAI | |
| open MeasureTheory ProbabilityTheory Set Filter | |
| open scoped ENNReal NNReal RealInnerProductSpace Topology | |
| noncomputable section | |
| namespace CurrentProjection | |
| abbrev Vector (d : ℕ) := EuclideanSpace ℝ (Fin d) | |
| abbrev Sphere (d : ℕ) := Metric.sphere (0 : Vector d) 1 | |
| abbrev Rows (k d : ℕ) := Fin k → Vector d | |
| def uniformSphere (d : ℕ) : Measure (Sphere d) := | |
| let σ := (volume : Measure (Vector d)).toSphere | |
| (σ Set.univ)⁻¹ • σ | |
| def gaussianRows (k d : ℕ) : Measure (Rows k d) := | |
| Measure.pi fun _ => stdGaussian (Vector d) | |
| def label {k d : ℕ} (g : Rows k d) (s : Vector d) : Fin k → ℝ := | |
| fun i => ⟪s, g i⟫ | |
| def LocalGrowth {d : ℕ} (ρ : Measure (Sphere d)) (a : ℕ) (B : ℝ) : Prop := | |
| ∀ z : Vector d, ∀ t : ℝ, 0 < t → | |
| ρ {u | dist (u : Vector d) z ≤ t} ≤ ENNReal.ofReal (B * t ^ a) | |
| def cubeAverage {k d : ℕ} (ρ : Measure (Sphere d)) (g : Rows k d) | |
| (y : Fin k → ℝ) (δ : ℝ) : ℝ≥0∞ := | |
| ENNReal.ofReal ((2 * δ)⁻¹ ^ k) * | |
| ρ {u | ∀ i, |label g (u : Vector d) i - y i| ≤ δ} | |
| def exactDensity {k d : ℕ} (ρ : Measure (Sphere d)) (g : Rows k d) | |
| (y : Fin k → ℝ) : ℝ≥0∞ := by | |
| classical | |
| let f := fun j : ℕ => (cubeAverage ρ g y (1 / (j : ℝ))).toReal | |
| exact if h : ∃ L : ℝ, Tendsto f atTop (𝓝 L) then ENNReal.ofReal h.choose else 0 | |
| def AdmissibleDimensions (d m r q : ℕ) : Prop := | |
| 1 ≤ m ∧ 1 ≤ r ∧ 1 ≤ q ∧ m + r < d - 1 ∧ m + r - m - (q - 1) ≥ 1 | |
| def momentConstant (C : ℝ) (d : ℕ) (B D : ℝ) : ℝ≥0∞ := | |
| ENNReal.ofReal (Real.exp (C * d) * B * (1 + max (Real.log (D / B)) 0)) | |
| def MixedMomentMain : Prop := | |
| ∃ C : ℝ, 0 < C ∧ ∀ (d m r q : ℕ), AdmissibleDimensions d m r q → | |
| ∀ (ρ : Measure (Sphere d)), IsFiniteMeasure ρ → | |
| ∀ (B D : ℝ), 0 < B → 0 < D → LocalGrowth ρ (m+r) B → LocalGrowth ρ (d-1) D → | |
| (∀ (s : Sphere d) (δ : ℝ), 0 < δ → | |
| (∫⁻ X, (∫⁻ Z, cubeAverage ρ (Fin.append X Z) | |
| (label (Fin.append X Z) (s : Vector d)) δ ∂gaussianRows r d)^q | |
| ∂gaussianRows m d) ≤ (momentConstant C d B D)^q) ∧ | |
| (ρ ≪ uniformSphere d → ∃ E : Set (Sphere d), MeasurableSet E ∧ ρ E = 0 ∧ | |
| ∀ s ∉ E, | |
| (∀ᵐ G ∂gaussianRows (m+r) d, | |
| Tendsto (fun δ : ℝ => cubeAverage ρ G (label G (s : Vector d)) δ) | |
| (𝓝[>] 0) (𝓝 (exactDensity ρ G (label G (s : Vector d))))) ∧ | |
| ((∫⁻ X, (∫⁻ Z, exactDensity ρ (Fin.append X Z) | |
| (label (Fin.append X Z) (s : Vector d)) ∂gaussianRows r d)^q | |
| ∂gaussianRows m d) ≤ (momentConstant C d B D)^q) ∧ | |
| (ρ ≠ 0 → ∀ᵐ G ∂gaussianRows (m+r) d, | |
| 0 < exactDensity ρ G (label G (s : Vector d)) ∧ | |
| exactDensity ρ G (label G (s : Vector d)) < ∞)) | |
| end CurrentProjection | |
| end | |
| end OAI | |