Theorem 1.1 (mutually singular case): the excursion-coupling definition is well-defined
ProvedExcursionCoupling.excursion_coupling_well_definedLet be mutually singular Borel probability measures on , let , and let
Then the measure with density relative to Lebesgue measure is a probability measure. For -almost every sampled level , the level is nonzero, its completed-graph section is nonempty and finite of even cardinality, every intersection is an increasing or decreasing crossing, and the crossings alternate in order, starting with an increasing crossing for and a decreasing crossing for .
Pair adjacent crossings as in Juillet's construction and, conditionally on the sampled level, choose uniformly among those pairs. The resulting joint law is Juillet's excursion coupling in the exact formal sense: it is the completed-graph occupation measure
it is a probability measure, and its coordinate laws are respectively and .
This is the mutually singular case of the well-definedness assertion in Theorem 1.1, with every implicit claim listed in Remark 1.2 made explicit.
Formalization Note The named predicate
IsJuilletExcursionCoupling requires equality with the occupation measure,
not only concentration on the paired-route set.
import Definitions.Def_JuilletExcursionCoupling open MeasureTheory Set Function
namespace ExcursionCoupling
theorem excursion_coupling_well_defined
(mu nu : Measure Real)
[IsProbabilityMeasure mu] [IsProbabilityMeasure nu]
(hsing : mu ⟂ₘ nu) :
IsProbabilityMeasure (excursionLevelLaw mu nu) ∧
(∀ᵐ h ∂excursionLevelLaw mu nu,
h ≠ 0 ∧
(levelSet (Fsigma mu nu) h).Nonempty ∧
regularLevel (Fsigma mu nu) h) ∧
∃ gamma : Measure (Real × Real),
IsJuilletExcursionCoupling mu nu gamma := by sorry
end ExcursionCoupling