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Window Bound for Differences of Clamped Itô Versions

Proved
LevyStochCalc.Brownian.Ito.lintegral_iSup_sq_norm_clamp_version_sub_le_readable

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

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

This bounds the window supremum of the difference between two clamped vector Itô versions.

Let PPP be a probability measure, WWW a ddd-dimensional Brownian motion, and F\mathcal FF a filtration satisfying the stated Brownian-coordinate assumptions. Let HHH and bbb be measurable, progressively measurable coefficient and drift families with finite squared energy on every positive window. For clamping levels j,j′∈Nj,j'\in\mathbb Nj,j′∈N, let XjX_jXj​ and Xj′X_{j'}Xj′​ be vector Itô versions driven by the clamped coefficients and drifts, with common initial value.

For every T>0T>0T>0,

∫Ωsup⁡0≤t≤T∥Xj′(t)−Xj(t)∥2 dP≤32 n2(clampMesh⁡(P,H,b,T,j)+clampMesh⁡(P,H,b,T,j′)).\int_\Omega\sup_{0\le t\le T}\|X_{j'}(t)-X_j(t)\|^2\,dP\le 32\,n^2\bigl(\operatorname{clampMesh}(P,H,b,T,j)+\operatorname{clampMesh}(P,H,b,T,j')\bigr).∫Ω​0≤t≤Tsup​∥Xj′​(t)−Xj​(t)∥2dP≤32n2(clampMesh(P,H,b,T,j)+clampMesh(P,H,b,T,j′)).

The right-hand side is an ENNReal quantity. The result is a technical estimate used to control convergence of clamped versions on bounded time windows.

Original Lean declaration header

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

theorem lintegral_iSup_sq_norm_clamp_version_sub_le
    {H : Fin n → Fin d → Ω → ℝ → ℝ}
    {hm : ∀ p k, Measurable (Function.uncurry (H p k))}
    {hpg : ∀ p k, Probability.ProgressivelyMeasurable ℱ (H p k)}
    {X₀ : Ω → Fin n → ℝ} {b : Fin n → Ω → ℝ → ℝ}
    (hbm : ∀ p, Measurable (Function.uncurry (b p)))
    {j j' : ℕ} {Xj Xj' : ℝ → Ω → Fin n → ℝ}
    (hXj : IsVectorItoVersion W ℱ hcoord (clampCoeff H j)
      (fun p k => measurable_clampCoeff hm j p k)
      (fun p k => progressivelyMeasurable_clampCoeff hpg j p k)
      (fun p k T' hT' => energy_clampCoeff_lt_top j p k T' hT')
      X₀ (clampDrift b j) Xj)
    (hXj' : IsVectorItoVersion W ℱ hcoord (clampCoeff H j')
      (fun p k => measurable_clampCoeff hm j' p k)
      (fun p k => progressivelyMeasurable_clampCoeff hpg j' p k)
      (fun p k T' hT' => energy_clampCoeff_lt_top j' p k T' hT')
      X₀ (clampDrift b j') Xj')
    {T : ℝ} (hT : 0 < T) :
    ∫⁻ ω, (⨆ t : Set.Icc (0 : ℝ) T, (‖Xj' (t : ℝ) ω - Xj (t : ℝ) ω‖₊ : ℝ≥0∞)) ^ 2 ∂P
      ≤ 32 * (n : ℝ≥0∞) ^ 2 * (clampMesh P H b T j + clampMesh P H b T j')

Module navigation

Module: LevyStochCalc/Ito/VectorItoVersionUnbounded.

Definition modules: LevyStochCalc/Ito/ItoFormulaUnboundedClamp, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Multidim, LevyStochCalc/Probability/Progressive, LevyStochCalc/Brownian/VectorItoProcessVersion.

Supporting theorems: lintegral_energy_sub_le, lintegral_iSup_sq_norm_version_sub_le.

Source excerpt, lines 41–60 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Ito_VectorItoVersionUnbounded

/-
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/VectorItoVersionUnbounded.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
  {n d : ℕ} (W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P d)
  (ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›)
  (hcoord : ∀ k : Fin d, LevyStochCalc.Brownian.IsBrownianFiltration (W.W k) ℱ)
include hcoord
Formal statement

theorem LevyStochCalc.Brownian.Ito.lintegral_iSup_sq_norm_clamp_version_sub_le_readable
    {H : Fin n → Fin d → Ω → ℝ → ℝ}
    {hm : ∀ p k, Measurable (Function.uncurry (H p k))}
    {hpg : ∀ p k, Probability.ProgressivelyMeasurable ℱ (H p k)}
    {X₀ : Ω → Fin n → ℝ} {b : Fin n → Ω → ℝ → ℝ}
    (hbm : ∀ p, Measurable (Function.uncurry (b p)))
    {j j' : ℕ} {Xj Xj' : ℝ → Ω → Fin n → ℝ}
    (hXj : IsVectorItoVersion W ℱ hcoord (clampCoeff H j)
      (fun p k => measurable_clampCoeff hm j p k)
      (fun p k => progressivelyMeasurable_clampCoeff hpg j p k)
      (fun p k T' hT' => energy_clampCoeff_lt_top j p k T' hT')
      X₀ (clampDrift b j) Xj)
    (hXj' : IsVectorItoVersion W ℱ hcoord (clampCoeff H j')
      (fun p k => measurable_clampCoeff hm j' p k)
      (fun p k => progressivelyMeasurable_clampCoeff hpg j' p k)
      (fun p k T' hT' => energy_clampCoeff_lt_top j' p k T' hT')
      X₀ (clampDrift b j') Xj')
    {T : ℝ} (hT : 0 < T) :
    ∫⁻ ω, (⨆ t : Set.Icc (0 : ℝ) T, (‖Xj' (t : ℝ) ω - Xj (t : ℝ) ω‖₊ : ℝ≥0∞)) ^ 2 ∂P
      ≤ 32 * (n : ℝ≥0∞) ^ 2 * (clampMesh P H b T j + clampMesh P H b T j') := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Ito/VectorItoVersionUnbounded.lean#L38-L124 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Ito.VectorItoVersionUnbounded`, declaration `LevyStochCalc.Brownian.Ito.lintegral_iSup_sq_norm_clamp_version_sub_le`; 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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