Two-sided estimates for the transition densities of symmetric Markov processes dominated by stable-like processes in open sets
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In this paper, we study sharp Dirichlet heat kernel estimates for a large class of symmetric Markov processes in C1,畏 open sets. The processes are symmetric pure jump Markov processes with jumping intensity 魏(x,y)蠄1(|x−y|)−1|x−y|−d−伪, where 伪∈(0,2). Here, 1 is an increasing function on [0,∞), with 1(r)=1 on 0<r≤1 and c1ec2r≤蠄1(r)≤c3ec4r on r>1 for 尾∈[0,∞], and 魏(x,y) is a symmetric function confined between two positive constants, with |魏(x,y)−魏(x,x)|≤c5|x−y| for 26b050142c9" title="Click to view the MathML source">|x−y|<1 and 蟻>伪/2. We establish two-sided estimates for the transition densities of such processes in C1,畏 open sets when 畏∈(伪/2,1]. In particular, our result includes (relativistic) symmetric stable processes and finite-range stable processes in C1,畏 open sets when 畏∈(伪/2,1].

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