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Scalar Homogeneity of the Brownian Itô Integral

Proved
LevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_const_mul_readable

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

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

This statement establishes homogeneity of the Brownian Itô integral. Let (Ω,P)(Ω,P)(Ω,P) be a probability space, let WWW be a Brownian motion, and let FℱF be a Brownian filtration. Let H:Ω×R→RH:Ω×ℝ→ℝH:Ω×R→R be jointly measurable and progressively measurable, with finite squared ENNReal energy on every [0,T][0,T][0,T] for T>0T>0T>0. Fix c∈Rc∈ℝc∈R, and assume the scaled process cHcHcH is jointly measurable, progressively measurable, and has finite squared energy on every positive time interval.

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

stochasticIntegralBrownian(cH,T)=c stochasticIntegralBrownian(H,T)P-almost everywhere.\texttt{stochasticIntegralBrownian}(cH,T)=c\,\texttt{stochasticIntegralBrownian}(H,T)\quad P\text{-almost everywhere}.stochasticIntegralBrownian(cH,T)=cstochasticIntegralBrownian(H,T)P-almost everywhere.

The statement is pointwise in the scalar ccc and time TTT, with all admissibility hypotheses for both integrands explicit. It complements additivity to provide linearity of the integral.

Original Lean declaration header

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

theorem stochasticIntegralBrownian_const_mul {H : Ω → ℝ → ℝ}
    (hm : Measurable (Function.uncurry H)) (hp : Probability.ProgressivelyMeasurable ℱ H)
    (hq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (c : ℝ)
    (hmc : Measurable (Function.uncurry fun ω s => c * H ω s))
    (hpc : Probability.ProgressivelyMeasurable ℱ fun ω s => c * H ω s)
    (hqc : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖c * H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    {T : ℝ} (hT : 0 < T) :
    stochasticIntegralBrownian W ℱ hℱ (fun ω s => c * H ω s) hmc hpc hqc T
      =ᵐ[P] fun ω => c * stochasticIntegralBrownian W ℱ hℱ H hm hp hq T ω

Module navigation

Module: LevyStochCalc/Brownian/ItoLinear.

Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.

Supporting theorems: ae_eq_const_mul_of_sq_distances, lintegral_energy_const_mul.

Previous: ae_eq_const_mul_of_sq_distances.

Source excerpt, lines 346–357 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoLinear

/-
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/ItoLinear.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
variable (W : LevyStochCalc.Brownian.BrownianMotion P)
  (ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration W ℱ)
include hℱ
Formal statement

theorem LevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_const_mul_readable {H : Ω → ℝ → ℝ}
    (hm : Measurable (Function.uncurry H)) (hp : Probability.ProgressivelyMeasurable ℱ H)
    (hq : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    (c : ℝ)
    (hmc : Measurable (Function.uncurry fun ω s => c * H ω s))
    (hpc : Probability.ProgressivelyMeasurable ℱ fun ω s => c * H ω s)
    (hqc : ∀ T, 0 < T → ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
      (‖c * H ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
    {T : ℝ} (hT : 0 < T) :
    stochasticIntegralBrownian W ℱ hℱ (fun ω s => c * H ω s) hmc hpc hqc T
      =ᵐ[P] fun ω => c * stochasticIntegralBrownian W ℱ hℱ H hm hp hq T ω := by sorry
Source
Lean source: https://github.com/cgarryZA/LevyStochCalc/blob/984dbf0b790031eac05d56fe5a84b65e15e1e932/LevyStochCalc/Brownian/ItoLinear.lean#L344-L373 (repository human-ai-mathematics/kls-lean, commit 408915f, module `LevyStochCalc.Brownian.ItoLinear`, declaration `LevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_const_mul`; 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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