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Measurability of a Vector Itô-Process Increment

Proved
LevyStochCalc.Brownian.Ito.measurable_vectorItoProcess_sub_readable

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

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

This is a measurability statement for increments of a vector Itô process.

Let PPP be a probability measure, let WWW be a ddd-dimensional Brownian motion with coordinate Brownian filtrations, let HmkH_{mk}Hmk​ satisfy the stated measurability, progressive-measurability, and ENNReal\mathrm{ENNReal}ENNReal square-integrability conditions, and let X0:Ω→Fin(n)→RX_0:\Omega\to\mathrm{Fin}(n)\to\mathbb RX0​:Ω→Fin(n)→R and bm:Ω×R→Rb_m:\Omega\times\mathbb R\to\mathbb Rbm​:Ω×R→R be the initial state and drift coordinates. Assume each bmb_mbm​ is jointly measurable and that there is B∈RB\in\mathbb RB∈R with ∣bm(ω,s)∣≤B|b_m(\omega,s)|\le B∣bm​(ω,s)∣≤B for every m,ω,sm,\omega,sm,ω,s. For 0≤u≤v0\le u\le v0≤u≤v, the increment is

ω↦Xv(ω)−Xu(ω),\omega\mapsto X_v(\omega)-X_u(\omega),ω↦Xv​(ω)−Xu​(ω),

where X=vectorItoProcess(W,F,H,X0,b)X=\texttt{vectorItoProcess}(W,\mathcal F,H,X_0,b)X=vectorItoProcess(W,F,H,X0​,b).

This map from Ω\OmegaΩ to Fin(n)→R\mathrm{Fin}(n)\to\mathbb RFin(n)→R is measurable.

The declaration is an auxiliary regularity lemma used to establish integrability of norms of vector-process increments.

Original Lean declaration header

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

theorem measurable_vectorItoProcess_sub {u v : ℝ} (hu : 0 ≤ u) (huv : u ≤ v) :
    Measurable fun ω => vectorItoProcess W ℱ hcoord H hHm hHp hHs X₀ bdrift v ω
      - vectorItoProcess W ℱ hcoord H hHm hHp hHs X₀ bdrift u ω

Module navigation

Module: LevyStochCalc/Brownian/VectorItoProcess.

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

Previous: integral_abs_vectorItoMartingale_sub_le · Next: integral_norm_vectorItoProcess_sub_le.

Source excerpt, lines 380–382 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_VectorItoProcess

/-
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/Brownian/VectorItoProcess.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)
  (H : Fin n → Fin d → Ω → ℝ → ℝ)
  (hHm : ∀ m k, Measurable (Function.uncurry (H m k)))
  (hHp : ∀ m k, LevyStochCalc.Probability.ProgressivelyMeasurable ℱ (H m k))
  (hHs : ∀ (m : Fin n) (k : Fin d) (T : ℝ), 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
    (‖H m k ω s‖₊ : ℝ≥0∞) ^ 2 ∂MeasureTheory.MeasureSpace.volume ∂P < ⊤)
variable (X₀ : Ω → Fin n → ℝ) (bdrift : Fin n → Ω → ℝ → ℝ)
  (hbm : ∀ m, Measurable (Function.uncurry (bdrift m))) {B : ℝ} (hB0 : 0 ≤ B)
  (hB : ∀ (m : Fin n) (ω : Ω) (s : ℝ), |bdrift m ω s| ≤ B)
include hbm hB
Formal statement

theorem LevyStochCalc.Brownian.Ito.measurable_vectorItoProcess_sub_readable {u v : ℝ} (hu : 0 ≤ u) (huv : u ≤ v) :
    Measurable fun ω => vectorItoProcess W ℱ hcoord H hHm hHp hHs X₀ bdrift v ω
      - vectorItoProcess W ℱ hcoord H hHm hHp hHs X₀ bdrift u ω := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Brownian/VectorItoProcess.lean#L378-L395 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Brownian.VectorItoProcess`, declaration `LevyStochCalc.Brownian.Ito.measurable_vectorItoProcess_sub`; 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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