Subordinated Markov processes: sharp estimates for heat kernels and Green functions
Probability
2021-10-07 v2
Abstract
We prove sharp estimates on heat kernels and Green functions for subordinate Markov processes with both discrete an continuous time, under relatively weak assumptions about original processes as well as Laplace exponents of subordinators. We also show stability of heat kernel estimates in the discrete settings.
Keywords
Cite
@article{arxiv.2110.01201,
title = {Subordinated Markov processes: sharp estimates for heat kernels and Green functions},
author = {Tomasz Grzywny and Bartosz Trojan},
journal= {arXiv preprint arXiv:2110.01201},
year = {2021}
}
Comments
57 pages