Stopped-future Lévy path reward factorisation under a stopped-history event
ProvedAvramDividend.Classical.levy_finiteStopping_restrictedFutureReward_lintegralbarrier-dividendlintegralstopped-future-rewardstrong-markov
The nonnegative expectation of any measurable future-path reward, restricted to an event observable at a finite stopping time, is the event probability times the original unshifted path reward expectation. This is the integral-level strong-Markov bridge needed for the discounted barrier-dividend splitting identity.
Preamble
import Mathlib.MeasureTheory.Integral.Lebesgue.Map import Mathlib.Probability.Process.Stopping import Definitions.Def_AvramDividend_Classical_SpectrallyNegativeLevy import Theorems.Thm_AvramDividend_Classical_levy_finiteStopping_restrictedFuturePath_mapLaw import Theorems.Thm_AvramDividend_Classical_levy_finiteStopping_stoppedFuturePath_measurable import Theorems.Thm_AvramDividend_Classical_stoppedHistory_event_measurable import Theorems.Thm_AvramDividend_Classical_restrictedPathLaw_scalar_lintegral_reward open MeasureTheory ProbabilityTheory Set open scoped NNReal ENNReal open AvramDividend.Classical
Formal statement
theorem AvramDividend.Classical.levy_finiteStopping_restrictedFutureReward_lintegral
{Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω}
{𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕)
(τ : Ω → ℝ≥0)
(hstop : IsStoppingTime 𝓕 (fun ω => (τ ω : WithTop ℝ≥0)))
(A : Set Ω)
(hA : ∀ s : ℝ≥0,
MeasurableSet[𝓕 s] (A ∩ {ω : Ω | τ ω ≤ s}))
(g : (ℝ≥0 → ℝ) → ℝ≥0∞) (hg : Measurable g) :
(∫⁻ ω, Set.indicator A
(fun ω' => g (fun t : ℝ≥0 =>
X.X (τ ω' + t) ω' - X.X (τ ω') ω')) ω ∂P) =
P A * (∫⁻ ω, g (fun t : ℝ≥0 => X.X t ω) ∂P) := by
sorrySource
From Proved full stopped-future path law plus the Proved restricted path law to lintegral scalar bridge. No scale-function assumptions.