English

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.

Keywords

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

R2 v1 2026-06-22T07:58:14.802Z