Abstract
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.
Original language | English |
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Pages (from-to) | 703-749 |
Number of pages | 47 |
Journal | Probability Theory and Related Fields |
Volume | 155 |
Issue number | 3-4 |
DOIs | |
Publication status | Published - 2013 Apr |
Externally published | Yes |
Keywords
- Dirichlet form
- Jump process
- Mosco convergence
- Random conductance
- Skorohod space
- Symmetric jump process
- Tightness
- Weak convergence
ASJC Scopus subject areas
- Analysis
- Statistics and Probability
- Statistics, Probability and Uncertainty