Global heat kernel estimates for symmetric Markov processes dominated by stable-like processes in exterior $C^{1,\eta}$ open sets

TL;DR

This paper derives precise two-sided heat kernel estimates for a class of symmetric jump processes in exterior $C^{1,eta}$ open sets, extending understanding of their behavior and Green functions in such domains.

Contribution

It provides the first sharp two-sided heat kernel estimates for symmetric Markov processes with stable-like jumps in exterior $C^{1,eta}$ domains, including explicit bounds for Green functions.

Findings

Established sharp two-sided heat kernel estimates for the processes.

Derived precise Green function estimates in exterior $C^{1,eta}$ domains.

Extended heat kernel analysis to processes with exponential-type jump kernels.

Abstract

In this paper, we establish sharp two-sided heat kernel estimates for a large class of symmetric Markov processes in exterior $C^{1,\eta}$ open sets for all $t> 0$. The processes are symmetric pure jump Markov processes with jumping kernel intensity $$\kappa(x, y)\psi(|x-y|)^{-1}|x-y|^{-d-\alpha}$$ where $\alpha\in(0,2)$, $\psi$ is an increasing function on $[ 0, \infty)$ with $\psi(r)=1$ on $0<r\le 1$ and $c_1e^{c_2r^{\beta}}\le \psi(r)\le c_3e^{c_4r^{\beta}}$ on $r>1$ for $\beta\in[0, \infty]$. A symmetric function $\kappa(x, y)$ is bounded by two positive constants and $|\kappa(x, y)-\kappa(x,x)|\le c_5 |x-y|^{\rho}$ for $|x-y|<1$ and $\rho>\alpha/2$. As a corollary of our main result, we estimates sharp two-sided Green function for this process in $C^{1,\eta}$ exterior open sets.