Continuity of the Revuz correspondence under the absolute continuity condition

In this paper, we consider standard processes that admit dual processes and satisfy the absolute continuity condition, i.e., processes possess transition densities. For such processes, the Revuz correspondence relates positive continuous additive functionals (PCAFs) to so-called smooth measures. We show the continuity of this correspondence. Specifically, we show that if the $1$-potentials of smooth measures converge (locally) uniformly as functions, then the associated PCAFs converge. This result is derived by directly estimating the distance between the PCAFs in terms of the distance between the $1$-potentials of the associated smooth measures. Furthermore, in cases where the transition density is jointly continuous, we present sufficient conditions for the convergence of $1$-potentials based on the weak or vague convergence of smooth measures. The framework in this paper contains the class of symmetric Hunt processes that are associated with regular Dirichlet forms and satisfy the absolute continuity condition.

💡 Research Summary

The paper investigates the continuity properties of the Revuz correspondence for a broad class of Markov processes that admit dual processes and satisfy an absolute continuity condition, i.e., they possess transition densities with respect to a σ‑finite reference measure. Under this framework, the authors consider positive continuous additive functionals (PCAFs) and smooth measures (measures charging no semipolar sets and having bounded 1‑potentials). The Revuz correspondence provides a one‑to‑one mapping between equivalence classes of PCAFs and smooth measures via the identity \