Positive self-similar Markov processes obtained by resurrection
Probability
2023-04-13 v3
Abstract
In this paper we study positive self-similar Markov processes obtained by (partially) resurrecting a strictly -stable process at its first exit time from . We construct those processes by using the Lamperti transform. We explain their long term behavior and give conditions for absorption at 0 in finite time. In case the process is absorbed at 0 in finite time, we give a necessary and sufficient condition for the existence of a recurrent extension. The motivation to study resurrected processes comes from the fact that their jump kernels may explode at zero. We establish sharp two-sided jump kernel estimates for a large class of resurrected stable processes.
Keywords
Cite
@article{arxiv.2206.06189,
title = {Positive self-similar Markov processes obtained by resurrection},
author = {Panki Kim and Renming Song and Zoran Vondraček},
journal= {arXiv preprint arXiv:2206.06189},
year = {2023}
}
Comments
Several typos corrected