Slice Measurability Along a Raw Stopped State
ProvedLevyStochCalc.Ito.Picard.measurable_picardStepOnRawStop_slice_readableThis proves slice measurability of the Picard step evaluated along a raw state process stopped at the horizon.
Let , let be jointly measurable and progressively measurable coordinatewise, and assume its Bielecki norm at weight zero is finite. Let and assume the coefficients are regular and Lipschitz with the stated Brownian and Poisson filtration hypotheses.
For every and ,
is measurable. The result concerns fixed-time measurability and does not claim joint measurability.
Original Lean declaration header
Within namespace LevyStochCalc.Ito.Picard. Shown in its original module context. Proof omitted.
theorem measurable_picardStepOnRawStop_slice
{Z : ℝ → Ω → (Fin n → ℝ)} (hZm : Measurable (Function.uncurry Z))
(hZa : ∀ i : Fin n, Probability.ProgressivelyMeasurable ℱ' fun ω s => Z s ω i)
(hZb : bieleckiNorm (P := P) 0 T Z < ⊤) (hT : 0 ≤ T) (t : ℝ) (i : Fin n) :
Measurable fun ω =>
picardStepOnRawStop W N hℱW hℱN coeffs hReg hLip hZm hZa hZb hT x₀ t ω i
Module navigation
Module: LevyStochCalc/Ito/PicardContractionFixedPoint.
Definition modules: LevyStochCalc/Poisson/Filtered, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Ito/Setting, LevyStochCalc/Brownian/Multidim, LevyStochCalc/Ito/PicardBieleckiNorm, LevyStochCalc/Poisson/RandomMeasure, LevyStochCalc/Probability/Progressive, LevyStochCalc/Ito/PicardIntegrandFrozen.
Supporting theorems: measurable_picardStep_slice.
Next: bieleckiNorm_picardStepOnRawStop_picardLimit_eq_zero.
Source excerpt, lines 112–117 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Ito_PicardContractionFixedPoint
/-
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/Ito/PicardContractionFixedPoint.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory
variable {Ω : Type*} [MeasurableSpace Ω] {E : Type*} [MeasurableSpace E]
variable {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P] {ν : MeasureTheory.Measure E} [MeasureTheory.SigmaFinite ν]
variable {n d : ℕ} {ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›} {T : ℝ}
variable (W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P d)
(N : LevyStochCalc.Poisson.PoissonRandomMeasure P ν)
(ℱ' : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›) [ℱ'.IsRightContinuous]
(hℱW : ∀ j : Fin d, LevyStochCalc.Brownian.IsBrownianFiltration (W.W j) ℱ')
(hℱN : LevyStochCalc.Poisson.IsPoissonFiltration N ℱ')
(hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ' 0 ≤ ℱ' t)
(hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ' 0] s)
(coeffs : LevyStochCalc.Ito.Setting.JumpDiffusionCoeffs n d E)
(hReg : LevyStochCalc.Ito.Setting.JumpDiffusionCoeffs.IsRegular coeffs ν)
variable {L : ℝ}
(hLip : LevyStochCalc.Ito.Setting.JumpDiffusionCoeffs.IsLipschitz coeffs ν L)
(x₀ : Fin n → ℝ)
omit [ℱ'.IsRightContinuous]
theorem LevyStochCalc.Ito.Picard.measurable_picardStepOnRawStop_slice_readable
{Z : ℝ → Ω → (Fin n → ℝ)} (hZm : Measurable (Function.uncurry Z))
(hZa : ∀ i : Fin n, Probability.ProgressivelyMeasurable ℱ' fun ω s => Z s ω i)
(hZb : bieleckiNorm (P := P) 0 T Z < ⊤) (hT : 0 ≤ T) (t : ℝ) (i : Fin n) :
Measurable fun ω =>
picardStepOnRawStop W N hℱW hℱN coeffs hReg hLip hZm hZa hZb hT x₀ t ω i := by sorry