English

Two Theorems on Hunt's Hypothesis (H) for Markov Processes

Probability 2019-04-25 v3

Abstract

Hunt's hypothesis (H) and the related Getoor's conjecture is one of the most important problems in the basic theory of Markov processes. In this paper, we investigate the invariance of Hunt's hypothesis (H) for Markov processes under two classes of transformations, which are change of measure and subordination. Our first theorem shows that for two standard processes (Xt)(X_t) and (Yt)(Y_t), if (Xt)(X_t) satisfies (H) and (Yt)(Y_t) is locally absolutely continuous with respect to (Xt)(X_t), then (Yt)(Y_t) satisfies (H). Our second theorem shows that a standard process (Xt)(X_t) satisfies (H) if and only if (Xτt)(X_{\tau_t}) satisfies (H) for some (and hence any) subordinator (τt)(\tau_t) which is independent of (Xt)(X_t) and has a positive drift coefficient. Applications of the two theorems are given.

Keywords

Cite

@article{arxiv.1903.00050,
  title  = {Two Theorems on Hunt's Hypothesis (H) for Markov Processes},
  author = {Ze-Chun Hu and Wei Sun and Li-Fei Wang},
  journal= {arXiv preprint arXiv:1903.00050},
  year   = {2019}
}
R2 v1 2026-06-23T07:54:49.239Z