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20142022
most citedEstimates of Dirichlet heat kernel for symmetric Markov processes

9 citations · 13 across the 7 of their papers we have counts for

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math.PR2022

Dirichlet Heat kernel estimates for a large class of anisotropic Markov processes

Kyung-Youn Kim, Lidan Wang

Let be the d-dimensional Lévy {process} where {'s} are independent 1-dimensional Lévy {processes} with identical jumping kernel $ ν^1(r) =r^{-1}ϕ(r)…

math.PR2020

Variational formulas for the exit time of Hunt processes generated by semi-Dirichlet forms

Lu-Jing Huang, Kyung-Youn Kim, Yong-Hua Mao +1

Variational formulas for the Laplace transform of the exit time from an open set of a Hunt process generated by a regular lower bounded semi-Dirichlet form are established. While f…

math.PR2020★ 2 cited

Variational principles for the exit time of non-symmetric diffusions

Lu-Jing Huang, Kyung-Youn Kim, Yong-Hua Mao

In this paper we develop some new variational principles for the exit time of non-symmetric diffusions from a domain. As applications, we give some comparison theorems and monotoni…

math.PR2015★ 9 cited

Estimates of Dirichlet heat kernel for symmetric Markov processes

Tomasz Grzywny, Kyung-Youn Kim, Panki Kim

We consider a large class of symmetric pure jump Markov processes dominated by isotropic unimodal Lévy processes with weak scaling conditions. First, we establish sharp two-sided h…

math.PR2015

Global heat kernel estimates for symmetric Markov processes dominated by stable-like processes in exterior open sets

Kyung-Youn Kim

In this paper, we establish sharp two-sided heat kernel estimates for a large class of symmetric Markov processes in exterior open sets for all . The processes are…

math.PR2014

Two-sided estimates for the transition densities of symmetric Markov processes dominated by stable-like processes in open sets

Kyung-Youn Kim, Panki Kim

In this paper, we study sharp Dirichlet heat kernel estimates for a large class of symmetric Markov processes in open sets. The processes are symmetric pure jump Markov p…