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Almost-Everywhere Congruence Of Itô Integrals

Proved
LevyStochCalc.Ito.Picard.itoIntegral_congr_ae_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concavevendored-levystochcalc

This is an auxiliary locality theorem for the Brownian Itô integral. Let WjW_jWj​ be a Brownian motion on a probability space (Ω,P)(\Omega,P)(Ω,P) with Brownian filtration F\mathcal FF. Let H1,H2:Ω×R→RH_1,H_2:\Omega\times\mathbb R\to\mathbb RH1​,H2​:Ω×R→R be jointly measurable and progressively measurable, and assume that for every T>0T>0T>0 their squared ENNReal⁡\operatorname{ENNReal}ENNReal norms are integrable over Ω×[0,T]\Omega\times[0,T]Ω×[0,T]:

∫Ω∫[0,T]∥Hr(ω,s)∥+2 ds dP<∞(r=1,2).\int_\Omega\int_{[0,T]}\|H_r(\omega,s)\|_+^2\,ds\,dP<\infty\qquad(r=1,2).∫Ω​∫[0,T]​∥Hr​(ω,s)∥+2​dsdP<∞(r=1,2).

If t>0t>0t>0 and H1(ω,s)=H2(ω,s)H_1(\omega,s)=H_2(\omega,s)H1​(ω,s)=H2​(ω,s) for PPP-almost every ω\omegaω and volume-almost every s∈[0,t]s\in[0,t]s∈[0,t], then

∫0tH1 dWj=∫0tH2 dWjfor P-almost every ω.\int_0^t H_1\,dW_j=\int_0^t H_2\,dW_j\quad\text{for }P\text{-almost every }\omega.∫0t​H1​dWj​=∫0t​H2​dWj​for P-almost every ω.

The lemma records that the stochastic integral at time ttt depends only on the integrand up to product-null equality on [0,t][0,t][0,t].

Original Lean declaration header

Within namespace LevyStochCalc.Ito.Picard. Shown in its original module context. Proof omitted.

theorem itoIntegral_congr_ae
    (Wj : LevyStochCalc.Brownian.BrownianMotion P)
    (ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›)
    (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration Wj ℱ)
    (H₁ H₂ : Ω → ℝ → ℝ)
    (hm₁ : Measurable (Function.uncurry H₁))
    (hp₁ : Probability.ProgressivelyMeasurable ℱ H₁)
    (hs₁ : ∀ T : ℝ, 0 < T →
      ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T, (‖H₁ ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (hm₂ : Measurable (Function.uncurry H₂))
    (hp₂ : Probability.ProgressivelyMeasurable ℱ H₂)
    (hs₂ : ∀ T : ℝ, 0 < T →
      ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T, (‖H₂ ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    {t : ℝ} (ht : 0 < t)
    (h : ∀ᵐ ω ∂P, ∀ᵐ s ∂(volume.restrict (Set.Icc (0 : ℝ) t)), H₁ ω s = H₂ ω s) :
    ∀ᵐ ω ∂P, LevyStochCalc.Brownian.Ito.stochasticIntegral Wj ℱ hℱ H₁ hm₁ hp₁ hs₁ t ω
      = LevyStochCalc.Brownian.Ito.stochasticIntegral Wj ℱ hℱ H₂ hm₂ hp₂ hs₂ t ω

Module navigation

Module: LevyStochCalc/Ito/PicardLocality.

Definition modules: LevyStochCalc/Brownian/ItoL2CompletionApi, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.

Next: compensatedIntegral_congr_ae.

Source excerpt, lines 90–106 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Ito_PicardLocality

/-
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/Ito/PicardLocality.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory LevyStochCalc.Probability
open scoped NNReal ENNReal
universe u v
variable {Ω : Type u} [MeasurableSpace Ω] {E : Type v} [MeasurableSpace E]
variable {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P] {n d : ℕ}
Formal statement

theorem LevyStochCalc.Ito.Picard.itoIntegral_congr_ae_readable
    (Wj : LevyStochCalc.Brownian.BrownianMotion P)
    (ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›)
    (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration Wj ℱ)
    (H₁ H₂ : Ω → ℝ → ℝ)
    (hm₁ : Measurable (Function.uncurry H₁))
    (hp₁ : Probability.ProgressivelyMeasurable ℱ H₁)
    (hs₁ : ∀ T : ℝ, 0 < T →
      ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T, (‖H₁ ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (hm₂ : Measurable (Function.uncurry H₂))
    (hp₂ : Probability.ProgressivelyMeasurable ℱ H₂)
    (hs₂ : ∀ T : ℝ, 0 < T →
      ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T, (‖H₂ ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    {t : ℝ} (ht : 0 < t)
    (h : ∀ᵐ ω ∂P, ∀ᵐ s ∂(volume.restrict (Set.Icc (0 : ℝ) t)), H₁ ω s = H₂ ω s) :
    ∀ᵐ ω ∂P, LevyStochCalc.Brownian.Ito.stochasticIntegral Wj ℱ hℱ H₁ hm₁ hp₁ hs₁ t ω
      = LevyStochCalc.Brownian.Ito.stochasticIntegral Wj ℱ hℱ H₂ hm₂ hp₂ hs₂ t ω := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Ito/PicardLocality.lean#L89-L124 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Ito.PicardLocality`, declaration `LevyStochCalc.Ito.Picard.itoIntegral_congr_ae`; 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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