Laws of the iterated logarithm for symmetric jump processes
Probability
2016-02-19 v2
Abstract
Based on two-sided heat kernel estimates for a class of symmetric jump processes on metric measure spaces, the laws of the iterated logarithm (LILs) for sample paths, local times and ranges are established. In particular, the LILs are obtained for -stable-like processes on -sets with .
Keywords
Cite
@article{arxiv.1504.06210,
title = {Laws of the iterated logarithm for symmetric jump processes},
author = {Panki Kim and Takashi Kumagai and Jian Wang},
journal= {arXiv preprint arXiv:1504.06210},
year = {2016}
}