Strong Markov independence of the shifted Lévy path from a stopped-history event
ProvedAvramDividend.Classical.levy_strongMarkov_shiftedPath_indep_stoppedEventavram-classicalbarrier-dividendslevy-processsource-faithful-childstopping-timestrong-markov
For a spectrally negative Lévy process with the specified independent and stationary increments and càdlàg paths, let τ be an almost surely finite stopping time valued in nonnegative real time and A an event measurable in the stopped past, expressed by A∩{τ≤s}∈𝓕_s for every deterministic s. The joint law of the event indicator and the future increment path t↦X(τ+t)-X(τ) is the product of the indicator law and the original path law. This gives the stochastic restart principle required for barrier-dividend first-passage factorisation, without any scale-function hypothesis.
Preamble
import Mathlib.Probability.Process.Stopping import Mathlib.Probability.Independence.Basic import Definitions.Def_AvramDividend_Classical_SpectrallyNegativeLevy open MeasureTheory Set open scoped NNReal ENNReal
Formal statement
theorem AvramDividend.Classical.levy_strongMarkov_shiftedPath_indep_stoppedEvent
{Ω : Type*} [mΩ : MeasurableSpace Ω] {P : Measure Ω}
{𝓕 : Filtration ℝ≥0 mΩ}
(X : SpectrallyNegativeLevy P 𝓕)
(τ : Ω → ℝ≥0)
(hτ : ∀ s : ℝ≥0, MeasurableSet[𝓕 s] {ω : Ω | τ ω ≤ s})
(A : Set Ω)
(hA : ∀ s : ℝ≥0,
MeasurableSet[𝓕 s] (A ∩ {ω : Ω | τ ω ≤ s})) :
Measure.map
(fun ω : Ω =>
(Set.indicator A (fun _ : Ω => (1 : ℝ)) ω,
fun t : ℝ≥0 => X.X (τ ω + t) ω - X.X (τ ω) ω)) P =
(Measure.map (Set.indicator A (fun _ : Ω => (1 : ℝ))) P).prod
(Measure.map (fun ω : Ω => fun t : ℝ≥0 => X.X t ω) P) := by
sorrySource
Avram, Palmowski and Pistorius (2007), Proposition 1 strong-Markov restart of a spectrally negative Lévy process. Mathematical intermediate for mission 1300fbe7-ca8c-49f9-a4de-4cb35ebd2f43 and exact Open child 79978d61-9d1f-4b20-b8a5-114797a8e380; deterministic-time future-path independence is separately Proved as AvramDividend.Classical.chat04_arbitrary_history_full_future_path_product_law (df53d7ad-ff31-4809-8a72-f7b90798838e).