Compensated Square Martingale for the Itô Integral
ProvedLevyStochCalc.Brownian.Ito.martingale_quadVar_stochasticIntegralBrownian_readableLet be a probability measure, a Brownian motion, and a Brownian filtration. Let be measurable and progressively measurable, and assume that for every the joint integral of over is finite. Then the process
is a martingale with respect to and . This is the general-integrand counterpart of the simple-level compensated-square martingale.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
lemma martingale_quadVar_stochasticIntegralBrownian :
MeasureTheory.Martingale
(fun t ω => (stochasticIntegralBrownian W ℱ hℱ H h_meas h_progMeas h_sq_int_global t ω) ^ 2
- ∫ u in Set.Icc (0 : ℝ) t, (H ω u) ^ 2 ∂volume)
ℱ P
Module navigation
Module: LevyStochCalc/Brownian/ItoL2CompletionQuadVar.
Definition modules: LevyStochCalc/Brownian/ItoL2CompletionMaster, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Construction, LevyStochCalc/Probability/Progressive.
Supporting theorems: martingale_simpleIntegral_sq_sub_compensator, masterApprox_compensator_tendsto_L1, setIntegral_eval_sq_Icc_clamped, tendsto_eLpNorm_one_sq_sub.
Previous: masterApprox_compensator_tendsto_L1.
Source excerpt, lines 438–442 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Brownian_ItoL2CompletionQuadVar
/-
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/ItoL2CompletionQuadVar.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory
open scoped NNReal ENNReal
universe u
variable {Ω : Type u} [MeasurableSpace Ω]
variable
{P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
(W : LevyStochCalc.Brownian.BrownianMotion P)
(ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) (hℱ : LevyStochCalc.Brownian.IsBrownianFiltration W ℱ)
(H : Ω → ℝ → ℝ) (h_meas : Measurable (Function.uncurry H))
(h_progMeas : LevyStochCalc.Probability.ProgressivelyMeasurable ℱ H)
(h_sq_int_global : ∀ T, 0 < T →
∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H ω s‖₊ : ℝ≥0∞) ^ 2 ∂MeasureTheory.MeasureSpace.volume ∂P < ⊤)
include h_meas h_progMeas h_sq_int_global hℱ
lemma LevyStochCalc.Brownian.Ito.martingale_quadVar_stochasticIntegralBrownian_readable :
MeasureTheory.Martingale
(fun t ω => (stochasticIntegralBrownian W ℱ hℱ H h_meas h_progMeas h_sq_int_global t ω) ^ 2
- ∫ u in Set.Icc (0 : ℝ) t, (H ω u) ^ 2 ∂volume)
ℱ P := by sorry