Probability and Phase Transition pp 303-322 | Cite as
Metastability for Markov Chains: A General Procedure Based on Renormalization Group Ideas
Chapter
Abstract
The paper is a report on results on the long time behavior of Markov chains with finite state spaces and with transition probabilities exponentially small in an external parameter β. A general approach based on renormalization group ideas is presented and discussed in the simple case of reversible Markov chains. Applications are also discussed.
Key words
Markov chains renormalization group metastability reversibility invariant measure first hitting time Metropolis algorithmPreview
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© Springer Science+Business Media Dordrecht 1994