Metastable behavior of weakly mixing Markov chains: The case of reversible, critical zero-range processes
Author:
Affiliation:
1. IMPA and CNRS UMR 6085
2. Institute of Mathematics and Statistics, Universidade de São Paulo
3. Department of Mathematical Sciences and RIM, Seoul National University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference37 articles.
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2. ETHIER, S. N. and KURTZ, T. G. (2009). Markov Processes: Characterization and Convergence 282. Wiley, New York.
3. Bovier, A., Eckhoff, M., Gayrard, V. and Klein, M. (2004). Metastability in reversible diffusion processes. I. Sharp asymptotics for capacities and exit times. J. Eur. Math. Soc. (JEMS) 6 399–424.
4. GAUDILLIÈRE, A. and LANDIM, C. (2014). A Dirichlet principle for non reversible Markov chains and some recurrence theorems. Probab. Theory Related Fields 158 55–89.
5. BELTRÁN, J. and LANDIM, C. (2015). A martingale approach to metastability. Probab. Theory Related Fields 161 267–307.
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