Discrete approximation of symmetric jump processes on metric measure spaces
成果类型:
Article
署名作者:
Chen, Zhen-Qing; Kim, Panki; Kumagai, Takashi
署名单位:
University of Washington; University of Washington Seattle; Seoul National University (SNU); Seoul National University (SNU); Kyoto University
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-012-0411-x
发表日期:
2013
页码:
703-749
关键词:
markov-chain approximations
WEAK-CONVERGENCE
dirichlet forms
摘要:
In this paper we give general criteria on tightness and weak convergence of discrete Markov chains to symmetric jump processes on metric measure spaces under mild conditions. As an application, we investigate discrete approximation for a large class of symmetric jump processes. We also discuss some application of our results to the scaling limit of random walk in random conductance.
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