Download lean/OAI/Probability/FreeIsing/Conditioning/CopyIntegralTransport.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.24 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Conditioning/CopyIntegralTransport.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/FreeIsing/Conditioning/CopyIntegralTransport.lean
-
curl -L -o CopyIntegralTransport.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Conditioning/CopyIntegralTransport.lean
2.24 kB
| import OAI.Probability.FreeIsing.Brownian.IntegralTransport | |
| import OAI.Probability.FreeIsing.Conditioning.Copies | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory ProbabilityTheory Filter TopologicalSpace | |
| open scoped Topology | |
| namespace Problem367.ConditionalIntegralTransport | |
| variable {W Ω : Type*} | |
| def pair (j : Bool) (q : W × (Ω × Ω)) : W × Ω := | |
| (q.1, if j then q.2.1 else q.2.2) | |
| theorem pair_measurePreserving [MeasurableSpace W] [MeasurableSpace Ω] | |
| (ρ : Measure W) [SFinite ρ] (κ : Kernel W Ω) [IsMarkovKernel κ] (j : Bool) : | |
| MeasurePreserving (pair (W := W) (Ω := Ω) j) (ρ ⊗ₘ (κ ×ₖ κ)) (ρ ⊗ₘ κ) := by | |
| cases j | |
| · exact measurePreserving_conditionalCopy_snd ρ κ | |
| · exact measurePreserving_conditionalCopy_fst ρ κ | |
| theorem integral_transport | |
| {V T : Type*} [MeasurableSpace W] [MeasurableSpace Ω] [Countable V] | |
| [TopologicalSpace T] [SeparableSpace T] [Nonempty T] | |
| (ρ : Measure W) [SFinite ρ] (κ : Kernel W Ω) [IsMarkovKernel κ] | |
| {X : V → T → ℕ → W × Ω → ℝ} {I : V → T → W × Ω → ℝ} | |
| {J : Bool → V → T → W × (Ω × Ω) → ℝ} | |
| (hX : ∀ v t n, MemLp (X v t n) 2 (ρ ⊗ₘ κ)) | |
| (hI : ∀ v t, MemLp (I v t) 2 (ρ ⊗ₘ κ)) | |
| (hJ : ∀ j v t, MemLp (J j v t) 2 (ρ ⊗ₘ (κ ×ₖ κ))) | |
| (hcI : ∀ v, ∀ᵐ q ∂ρ ⊗ₘ κ, Continuous (fun t => I v t q)) | |
| (hcJ : ∀ j v, ∀ᵐ q ∂ρ ⊗ₘ (κ ×ₖ κ), Continuous (fun t => J j v t q)) | |
| (hlimI : ∀ v t, Tendsto (fun n => ∫ q, (X v t n q - I v t q) ^ 2 ∂ρ ⊗ₘ κ) | |
| atTop (𝓝 0)) | |
| (hlimJ : ∀ j v t, Tendsto (fun n => ∫ q, | |
| (X v t n (pair j q) - J j v t q) ^ 2 ∂ρ ⊗ₘ (κ ×ₖ κ)) atTop (𝓝 0)) : | |
| ∀ᵐ q ∂ρ ⊗ₘ (κ ×ₖ κ), ∀ j v t, I v t (pair j q) = J j v t q := by | |
| have hj : ∀ j, (fun q v t => I v t (pair j q)) =ᵐ[ρ ⊗ₘ (κ ×ₖ κ)] | |
| (fun q v t => J j v t q) := fun j => | |
| BrownianGrid.ae_eq_array_of_meanSquare_limits_comp (pair_measurePreserving ρ κ j) | |
| hX hI (hJ j) hcI (hcJ j) hlimI (hlimJ j) | |
| filter_upwards [ae_all_iff.mpr hj] with q hq | |
| intro j v t | |
| exact congrFun (congrFun (hq j) v) t | |
| end Problem367.ConditionalIntegralTransport | |
| end | |
| end OAI | |