Scalar Homogeneity of the Brownian Itô Integral
ProvedLevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_const_mul_readableThis statement establishes homogeneity of the Brownian Itô integral. Let be a probability space, let be a Brownian motion, and let be a Brownian filtration. Let be jointly measurable and progressively measurable, with finite squared ENNReal energy on every for . Fix , and assume the scaled process is jointly measurable, progressively measurable, and has finite squared energy on every positive time interval.
For every ,
The statement is pointwise in the scalar and time , 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.
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
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