Measurability of a Vector Itô-Process Increment
ProvedLevyStochCalc.Brownian.Ito.measurable_vectorItoProcess_sub_readableThis is a measurability statement for increments of a vector Itô process.
Let be a probability measure, let be a -dimensional Brownian motion with coordinate Brownian filtrations, let satisfy the stated measurability, progressive-measurability, and square-integrability conditions, and let and be the initial state and drift coordinates. Assume each is jointly measurable and that there is with for every . For , the increment is
where .
This map from to 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.
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Source excerpt, lines 380–382 · Frozen source 408915f.
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
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