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Electronic Journal of Probability
Article . 2025 . Peer-reviewed
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zbMATH Open
Article . 2025
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https://dx.doi.org/10.48550/ar...
Article . 2022
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Dirichlet heat kernel estimates for a large class of anisotropic Markov processes

Authors: Kim, Kyung-Youn; Wang, Lidan;

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

Abstract

Let $Z=(Z^{1}, \ldots, Z^{d})$ be the d-dimensional Lévy {process} where {$Z^i$'s} are independent 1-dimensional Lévy {processes} with identical jumping kernel $ ν^1(r) =r^{-1}ϕ(r)^{-1}$. Here $ϕ$ is {an} increasing function with weakly scaling condition of order $\underline α, \overline α\in (0, 2)$. We consider a symmetric function $J(x,y)$ comparable to \begin{align*} \begin{cases} ν^1(|x^i - y^i|)\qquad&\text{ if $x^i \ne y^i$ for some $i$ and $x^j = y^j$ for all $j \ne i$}\\ 0\qquad&\text{ if $x^i \ne y^i$ for more than one index $i$}. \end{cases} \end{align*} Corresponding to the jumping kernel $J$, there exists an anisotropic Markov process $X$, see \cite{KW22}. In this article, we establish sharp two-sided Dirichlet heat kernel estimates for $X$ in $C^{1,1}$ open set, under certain regularity conditions. As an application of the main results, we derive the Green function estimates.

35 pages

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Keywords

transition density, first exit time, Probability (math.PR), Transition functions, generators and resolvents, Dirichlet heat kernel, Green function, Boundary theory for Markov processes, FOS: Mathematics, Jump processes on general state spaces, Boundary behavior of harmonic functions in higher dimensions, Markov jump process, anisotropic process, 31B25, 60J50, Mathematics - Probability

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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