Download lean/OAI/Probability/FreeIsing/Martingales/SpatialCompensator.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/Probability/FreeIsing/Martingales/SpatialCompensator.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/FreeIsing/Martingales/SpatialCompensator.lean
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curl -L -o SpatialCompensator.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/FreeIsing/Martingales/SpatialCompensator.lean
2.49 kB
| import OAI.Probability.FreeIsing.Estimates.CompensatedSquareLimit | |
| import OAI.Probability.FreeIsing.Estimates.NonnegativeSeriesL1 | |
| import OAI.Probability.FreeIsing.Martingales.PredictableL2Completion | |
| import OAI.Probability.FreeIsing.Stochastic.StoppedBrownianArraySquare | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory Filter | |
| open scoped Topology ENNReal NNReal | |
| namespace Problem367.MartingaleSpatialCompensator | |
| variable {Ω ι : Type*} [mΩ : MeasurableSpace Ω] | |
| {μ : Measure Ω} [IsFiniteMeasure μ] {F : Filtration ℝ≥0 mΩ} | |
| theorem spatial_sum_compensatedSquare_martingale [Countable ι] | |
| {X A : ι → ℝ≥0 → Ω → ℝ} {Y : ℝ≥0 → Ω → ℝ} | |
| (hX2 : ∀ i t, MemLp (X i t) 2 μ) | |
| (hdiag : ∀ i, Martingale (fun t ω => X i t ω ^ 2 - A i t ω) F μ) | |
| (hcross : Pairwise fun i j => Martingale (fun t ω => X i t ω * X j t ω) F μ) | |
| (hAad : ∀ i, StronglyAdapted F (A i)) | |
| (hAint : ∀ i t, Integrable (A i t) μ) | |
| (hAnonneg : ∀ i t ω, 0 ≤ A i t ω) | |
| (hAsum : ∀ t, Summable (fun i => ∫ ω, A i t ω ∂μ)) | |
| (hYad : StronglyAdapted F Y) (hY2 : ∀ t, MemLp (Y t) 2 μ) | |
| (hYsum : ∀ t, HasSum (fun i => (hX2 i t).toLp (X i t)) ((hY2 t).toLp (Y t))) : | |
| Martingale (fun t ω => Y t ω ^ 2 - ∑' i, A i t ω) F μ := by | |
| classical | |
| apply CompensatedSquareLimit.martingale_compensatedSquare_of_limits | |
| (l := (atTop : Filter (Finset ι))) | |
| (X := fun s t ω => ∑ i ∈ s, X i t ω) | |
| (A := fun s t ω => ∑ i ∈ s, A i t ω) | |
| · intro s t | |
| exact memLp_finsetSum s (fun i _ => hX2 i t) | |
| · intro s t | |
| exact integrable_finsetSum s (fun i _ => hAint i t) | |
| · exact StoppedBrownianArraySquare.finite_sum_compensated_square_martingale X A hdiag hcross | |
| · exact hYad | |
| · exact hY2 | |
| · intro t | |
| let : MeasurableSpace Ω := F t | |
| exact StronglyMeasurable.tsum (fun i => hAad i t) | |
| · intro t | |
| exact (NonnegativeSeriesL1.integrable_tsum_of_nonnegative | |
| (fun i => hAint i t) (fun i ω => hAnonneg i t ω) (hAsum t)).2.1 | |
| · intro t | |
| apply CompensatedSquareLimit.tendsto_eLpNorm_two_of_meanSquare | |
| (fun s => memLp_finsetSum s (fun i _ => hX2 i t)) (hY2 t) | |
| exact PredictableL2.tendsto_integral_sq_error_of_hasSum | |
| (fun i => X i t) (fun i => hX2 i t) (hY2 t) (hYsum t) | |
| · intro t | |
| exact NonnegativeSeriesL1.tendsto_finsetSum_L1_of_nonnegative | |
| (fun i => hAint i t) (fun i ω => hAnonneg i t ω) (hAsum t) | |
| end Problem367.MartingaleSpatialCompensator | |
| end | |
| end OAI | |