Almost-Sure Vanishing of the Zero Itô Integral
ProvedLevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_ae_zero_readableThis statement shows that the Brownian Itô integral of the zero integrand vanishes almost surely. Let be a probability space, let be a Brownian motion, and let be a Brownian filtration. Assume that the zero process is measurable and progressively measurable and that its squared ENNReal energy is finite on every interval with .
For every ,
The conclusion holds for arbitrary real times, including nonpositive times. This is the zero element property needed for the additive and finite-sum algebra of the integral.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem stochasticIntegralBrownian_ae_zero
(hm : Measurable (Function.uncurry fun (_ : Ω) (_ : ℝ) => (0 : ℝ)))
(hp : Probability.ProgressivelyMeasurable ℱ fun (_ : Ω) (_ : ℝ) => (0 : ℝ))
(hq : ∀ T, 0 < T → ∫⁻ _ω, ∫⁻ _s in Set.Icc (0 : ℝ) T,
(‖(0 : ℝ)‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤) (t : ℝ) :
stochasticIntegralBrownian W ℱ hℱ (fun _ _ => (0 : ℝ)) hm hp hq t =ᵐ[P] 0
Module navigation
Module: LevyStochCalc/Brownian/ItoZero.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.
Source excerpt, lines 50–55 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoZero
/-
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/ItoZero.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]
(W : LevyStochCalc.Brownian.BrownianMotion P)
(ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration W ℱ)
include hℱ
theorem LevyStochCalc.Brownian.Ito.stochasticIntegralBrownian_ae_zero_readable
(hm : Measurable (Function.uncurry fun (_ : Ω) (_ : ℝ) => (0 : ℝ)))
(hp : Probability.ProgressivelyMeasurable ℱ fun (_ : Ω) (_ : ℝ) => (0 : ℝ))
(hq : ∀ T, 0 < T → ∫⁻ _ω, ∫⁻ _s in Set.Icc (0 : ℝ) T,
(‖(0 : ℝ)‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤) (t : ℝ) :
stochasticIntegralBrownian W ℱ hℱ (fun _ _ => (0 : ℝ)) hm hp hq t =ᵐ[P] 0 := by sorry