Estimates of Dirichlet heat kernels for subordinate Brownian motions
Probability
2018-04-25 v2
Abstract
In this paper, we discuss estimates of transition densities of subordinate Brownian motions in open subsets of Euclidean space. When is a domain, we establish sharp two-sided estimates for the transition densities of a large class of subordinate Brownian motions in whose scaling order is not necessarily strictly below . Our estimates are explicit and written in terms of the dimension, the Euclidean distance between two points, the distance to the boundary and Laplace exponent of the corresponding subordinator only.
Keywords
Cite
@article{arxiv.1708.08606,
title = {Estimates of Dirichlet heat kernels for subordinate Brownian motions},
author = {Panki Kim and Ante Mimica},
journal= {arXiv preprint arXiv:1708.08606},
year = {2018}
}
Comments
50 pages: Errors in the previous version are corrected