Heat kernel estimates for the Bessel differential operator in half-line
Analysis of PDEs
2015-01-13 v1 Probability
Abstract
In the paper we consider the Bessel differential operator L^(\mu)=\dfrac{d^2}{dx^2}+\dfrac{2\mu+1}{x}\dfrac{d}{dx} in half-line (a,\infty), a>0, and its Dirichlet heat kernel p_a^(\mu)(t,x,y). For \mu=0, by combining analytical and probabilistic methods, we provide sharp two-sided estimates of the heat kernel for the whole range of the space parameters x,y>a and every t>0, which complements the recent results given in [1], where the case \mu\neq 0 was considered.
Cite
@article{arxiv.1501.02618,
title = {Heat kernel estimates for the Bessel differential operator in half-line},
author = {Kamil Bogus and Jacek Malecki},
journal= {arXiv preprint arXiv:1501.02618},
year = {2015}
}
Comments
10 pages