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L² membership for compensated simple integrals

Definition
KLSModular_LevyStochCalc_Poisson_CompensatedMartingaleQuadratic

by Lazyfill · Oct 25, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitiesklskls-conjecturekls-modularlog-concavemodule-contextvendored-levystochcalc

Vendored from the LevyStochCalc library (https://github.com/cgarryZA/LevyStochCalc), commit 984dbf0b790031eac05d56fe5a84b65e15e1e932. simpleIntegral_memLp_at states that for every running time ttt, the compensated simple integral ω↦simpleIntegral⁡(N,ϕ,t)(ω)\omega\mapsto\operatorname{simpleIntegral}(N,\phi,t)(\omega)ω↦simpleIntegral(N,ϕ,t)(ω) belongs to MemLp with exponent 222 under PPP. No adaptedness assumption is required for this declaration; bounded coefficients and finite-intensity mark sets suffice. The surrounding module is intended for quadratic-variation and compensator identities, but this bundle provides the stated L2L^2L2 membership result.

Original module imports

import LevyStochCalc.Poisson.CompensatedMartingaleIncrement

Original declaration excerpt

Shown in the original module context. Body omitted.

lemma simpleIntegral_memLp_at
    {P : Measure Ω} [IsProbabilityMeasure P]
    {ν : Measure E} [SigmaFinite ν]
    (N : LevyStochCalc.Poisson.PoissonRandomMeasure P ν)
    {T : ℝ} (φ : SimplePredictable Ω E ν T) (t : ℝ) :
    MeasureTheory.MemLp (fun ω => simpleIntegral N φ t ω) 2 P

Module navigation

Direct project imports: LevyStochCalc/Poisson/CompensatedMartingaleIncrement.

Project result: The KLS conjecture.

Original module · LevyStochCalc.Poisson.CompensatedMartingaleQuadratic · Frozen source 408915f.

Definition code
import Definitions.Def_KLSModular_LevyStochCalc_Poisson_CompensatedMartingaleIncrement

/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Poisson/CompensatedMartingaleQuadratic.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory
open scoped NNReal ENNReal
namespace LevyStochCalc
namespace Poisson
namespace Compensated
universe u v
variable {Ω : Type u} [MeasurableSpace Ω]
variable {E : Type v} [MeasurableSpace E]
/-- **`simpleIntegral N φ t ∈ L²(P)` at every running time `t`.** Each summand
`ξᵢ·Ñ(timeRect i t)` is the product of a bounded coefficient and a compensated mass
in `L²` (`compensated_sq_integrable`), so the finite sum is in `L²`. No adaptedness
needed (unlike the full-horizon isometry route). -/
lemma simpleIntegral_memLp_at
    {P : Measure Ω} [IsProbabilityMeasure P]
    {ν : Measure E} [SigmaFinite ν]
    (N : LevyStochCalc.Poisson.PoissonRandomMeasure P ν)
    {T : ℝ} (φ : SimplePredictable Ω E ν T) (t : ℝ) :
    MeasureTheory.MemLp (fun ω => simpleIntegral N φ t ω) 2 P := by
  have h_unfold : (fun ω => simpleIntegral N φ t ω)
      = ∑ i : Fin φ.N, fun ω => φ.ξ i ω * N.compensated (φ.timeRect i t) ω := by
    funext ω; rw [Finset.sum_apply]; rfl
  rw [h_unfold]
  refine MeasureTheory.memLp_finsetSum' _ (fun i _ => ?_)
  obtain ⟨M, hM⟩ := φ.ξ_bounded i
  have hmeas : MeasurableSet (φ.timeRect i t) := measurableSet_Ioc.prod (φ.A_measurable i)
  have hÑ_aesm : MeasureTheory.AEStronglyMeasurable
      (fun ω => N.compensated (φ.timeRect i t) ω) P :=
    ((ENNReal.measurable_toReal.comp (N.measurable_eval hmeas)).sub_const _).aestronglyMeasurable
  have hÑ_memLp : MeasureTheory.MemLp (fun ω => N.compensated (φ.timeRect i t) ω) 2 P :=
    (MeasureTheory.memLp_two_iff_integrable_sq hÑ_aesm).mpr
      (compensated_sq_integrable N hmeas (referenceIntensity_timeRect_ne_top φ i t))
  refine MeasureTheory.MemLp.mono' (hÑ_memLp.norm.const_mul |M|)
    ((φ.ξ_measurable i).aestronglyMeasurable.mul hÑ_aesm) ?_
  filter_upwards with ω
  change ‖φ.ξ i ω * N.compensated (φ.timeRect i t) ω‖
    ≤ |M| * ‖N.compensated (φ.timeRect i t) ω‖
  rw [norm_mul]
  refine mul_le_mul_of_nonneg_right ?_ (norm_nonneg _)
  rw [Real.norm_eq_abs]; exact (hM ω).trans (le_abs_self M)
end Compensated
end Poisson
end LevyStochCalc
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Poisson/CompensatedMartingaleQuadratic.lean#L151-L181 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Poisson.CompensatedMartingaleQuadratic`, definition bundle `KLSModular_LevyStochCalc_Poisson_CompensatedMartingaleQuadratic`; the repository is private at upload time). Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (Apache-2.0; upstream copyright notice retained in the Lean text).

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