openAI-math-dataset / lean /OAI /Probability /FreeIsing /Brownian /MeanSquarePullback.lean
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Add lean source and binary files (part 121)
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import OAI.Probability.FreeIsing.Brownian.MeanSquareDescent
namespace OAI
noncomputable section
open MeasureTheory Filter
open scoped Topology BigOperators
namespace Problem367.PredictableL2
theorem hasSum_toLp_comp_measurePreserving
{Ω Ω' ι : Type*} [MeasurableSpace Ω] [MeasurableSpace Ω']
{P : Measure Ω} {Q : Measure Ω'} {φ : Ω' → Ω}
(hφ : MeasurePreserving φ Q P)
(f : ι → Ω → ℝ) (hf : ∀ i, MemLp (f i) 2 P)
{Y : Ω → ℝ} (hY : MemLp Y 2 P)
(hsum : HasSum (fun i => (hf i).toLp (f i)) (hY.toLp Y)) :
HasSum (fun i => ((hf i).comp_measurePreserving hφ).toLp (f i ∘ φ))
((hY.comp_measurePreserving hφ).toLp (Y ∘ φ)) := by
apply (hasSum_toLp_iff_meanSquare (fun i => f i ∘ φ)
(fun i => (hf i).comp_measurePreserving hφ)
(hY.comp_measurePreserving hφ)).mpr
exact (BrownianGrid.meanSquare_limit_comp_iff hφ
(fun s : Finset ι => (memLp_finsetSum s (fun i _ => hf i)).aestronglyMeasurable)
hY.aestronglyMeasurable).mpr
(tendsto_integral_sq_error_of_hasSum f hf hY hsum)
end Problem367.PredictableL2
end
end OAI