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Autore principale: Kushida, Ryuto
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2412.05030
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author Kushida, Ryuto
author_facet Kushida, Ryuto
contents In this paper, we consider subordinate symmetric Markov processes which correspond to non-killing Dirichlet forms enjoying heat kernel estimates on a metric measure space with the volume doubling property. We obtain estimates of the jump kernel of the subordinate process and establish equivalent conditions for the jump kernel following Liu-Murugan. In particular, we clarify the scale of the jump kernel, which is different from the diffusion type. This result is appliable to non-subordinate processes by the transferring method, which uses stability of Dirichlet forms.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05030
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Characterization of subordinate symmetric Markov processes
Kushida, Ryuto
Probability
60J76, 31C25, 31E05
In this paper, we consider subordinate symmetric Markov processes which correspond to non-killing Dirichlet forms enjoying heat kernel estimates on a metric measure space with the volume doubling property. We obtain estimates of the jump kernel of the subordinate process and establish equivalent conditions for the jump kernel following Liu-Murugan. In particular, we clarify the scale of the jump kernel, which is different from the diffusion type. This result is appliable to non-subordinate processes by the transferring method, which uses stability of Dirichlet forms.
title Characterization of subordinate symmetric Markov processes
topic Probability
60J76, 31C25, 31E05
url https://arxiv.org/abs/2412.05030