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arXiv · 2103.10152

Heat kernel estimates for subordinate Markov processes and their applications

Soobin Cho·Panki Kim·Renming Song·Zoran Vondraček
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Abstract

In this paper, we establish sharp two-sided estimates for transition densities of a large class of subordinate Markov processes. As applications, we show that the parabolic Harnack inequality and H\"older regularity hold for parabolic functions of such processes, and derive sharp two-sided Green function estimates.

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Soobin Cho, Panki Kim, Renming Song, Zoran Vondraček. 2021-03-18. Heat kernel estimates for subordinate Markov processes and their applications. https://arxiv.org/abs/2103.10152

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