Abstract
For each n let Yt(n) be a continuous time symmetric Markov chain with state space n-1ℤd. Conditions in terms of the conductances are given for the convergence of the Yt(n)t to a symmetric Markov process Yt on ℝd. We have weak convergence of {Yt(n)}: t ≤ t0} for every t0 and every starting point. The limit process Y has a continuous part and may also have jumps.
Original language | English |
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Pages (from-to) | 107-140 |
Number of pages | 34 |
Journal | Probability Theory and Related Fields |
Volume | 148 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Keywords
- Central limit theorem
- Dirichlet forms
- Elliptic diffusions
- Markov chains
- Non-local
- Symmetric
- Weak convergence
ASJC Scopus subject areas
- Analysis
- Statistics and Probability
- Statistics, Probability and Uncertainty