Threshold-event indicator independent of the entire shifted post-stopping Lévy path
ProvedAvramDividend.Classical.levy_finiteStopping_thresholdEvent_indep_shiftedPathindependencelevy-processstopping-clockstrong-markov
For any finite Lévy stopping time and deterministic clock threshold c, its zero-one threshold indicator is independent of the entire Lévy increment path shifted after the stopping time. This turns the proved strong-Markov stopped-event product-measure law into a usable IndepFun statement for the generator of the clock sigma-algebra, towards proving independence of the random discount and future dividends.
Preamble
import Mathlib.Probability.Independence.Basic import Mathlib.Probability.Process.Stopping import Definitions.Def_AvramDividend_Classical_SpectrallyNegativeLevy import Theorems.Thm_AvramDividend_Classical_isStoppingTime_withTop_of_le_events import Theorems.Thm_AvramDividend_Classical_stoppedHistory_event_measurable import Theorems.Thm_AvramDividend_Classical_levy_finiteStopping_stoppedFuturePath_measurable import Theorems.Thm_AvramDividend_Classical_levy_strongMarkov_shiftedPath_indep_stoppedEvent open MeasureTheory ProbabilityTheory Set open scoped NNReal ENNReal open AvramDividend.Classical
Formal statement
theorem AvramDividend.Classical.levy_finiteStopping_thresholdEvent_indep_shiftedPath
{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})
(c : ℝ≥0) :
IndepFun
(Set.indicator {ω : Ω | τ ω ≤ c} (fun _ : Ω => (1 : ℝ)))
(fun ω : Ω => fun t : ℝ≥0 =>
X.X (τ ω + t) ω - X.X (τ ω) ω) P := by
sorrySource
W-free strong-Markov theorem 61930a38-11f1-449e-bbb6-67d59c6d5ca8; direct input to clock/future-path independence and barrier dividend value split 79978d61-9d1f-4b20-b8a5-114797a8e380.