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

Let Z=(Z1,…,Zd) be the d-dimensional Lévy process where Zi’s are independent 1-dimensional Lévy processes with identical jumping kernel ν1(r)=r−1ϕ(r)−1. Here ϕ is an increasing function with weakly scaling condition of order α_,α‾∈(0,2). We consider a symmetric function J(x,y) comparable to ν1(|xi−yi|)ifxi≠yifor someiandxj=yjfor allj≠i0ifxi≠yifor more than one indexi. Corresponding to the jumping kernel J, there exists an anisotropic Markov process X, see [32]. In this article, we establish sharp two-sided Dirichlet heat kernel estimates for X in C1,1 open set, under certain regularity conditions. As an application of the main results, we derive the Green function estimates.

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Publication Details

Journal
Electronic Journal of Probability
Published
2025-01-01
DOI
https://doi.org/10.1214/25-ejp1379
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Lidan Wang, Kyung-Youn Kim
Electronic Journal of Probability
Stochastic processes and financial applications
article

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

Lidan Wang, Kyung-Youn Kim
article en

Abstract

Let Z=(Z1,…,Zd) be the d-dimensional Lévy process where Zi’s are independent 1-dimensional Lévy processes with identical jumping kernel ν1(r)=r−1ϕ(r)−1. Here ϕ is an increasing function with weakly scaling condition of order α_,α‾∈(0,2). We consider a symmetric function J(x,y) comparable to ν1(|xi−yi|)ifxi≠yifor someiandxj=yjfor allj≠i0ifxi≠yifor more than one indexi. Corresponding to the jumping kernel J, there exists an anisotropic Markov process X, see [32]. In this article, we establish sharp two-sided Dirichlet heat kernel estimates for X in C1,1 open set, under certain regularity conditions. As an application of the main results, we derive the Green function estimates.

Electronic Journal of ProbabilityVol. 30(none)
National Chung Hsing University (TW), Nankai University (CN)
National Natural Science Foundation of China, National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 74%
Stochastic processes and financial applications
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