Full path-law equality from finite-coordinate pushforwards of arbitrary measures
ProvedAvramDividend.Classical.piPathMeasure_map_eq_of_finite_pushforwardsfinite-dimensionalmeasure-uniquenesspath-spacestrong-markov
For two measurable real-valued random paths driven by potentially different underlying measures, equality of the distributions of all finite-coordinate vectors implies equality of their full function-space pushforward measures, provided the first pushforward has finite mass.
Preamble
import Mathlib.MeasureTheory.Constructions.Pi import Mathlib.Probability.IdentDistrib import Definitions.Def_AvramDividend_Classical_SpectrallyNegativeLevy import Theorems.Thm_AvramDividend_Classical_piPathMeasure_eq_of_finite_cylinder_masses open MeasureTheory ProbabilityTheory Set open AvramDividend.Classical
Formal statement
theorem AvramDividend.Classical.piPathMeasure_map_eq_of_finite_pushforwards
{Ω ι : Type*} [mΩ : MeasurableSpace Ω]
{μ ν : Measure Ω}
(Y Z : Ω → (ι → ℝ))
(hY : Measurable Y) (hZ : Measurable Z)
(hMass : (Measure.map Y μ) Set.univ ≠ ⊤)
(hFinite : ∀ J : Finset ι,
Measure.map (fun ω : Ω => fun j : J => Y ω j) μ =
Measure.map (fun ω : Ω => fun j : J => Z ω j) ν) :
Measure.map Y μ = Measure.map Z ν := by
sorrySource
Generalises the already Proved deterministic-time shifted Lévy path law from finite-dimensional distributions. Crucial for treating the stopped-history restriction P.restrict A and independent original-path law at arbitrary finite stopping times, feeding canonical theorem 61930a38-11f1-449e-bbb6-67d59c6d5ca8.