Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1156272 | Stochastic Processes and their Applications | 2016 | 59 Pages |
Abstract
We establish metastability in the sense of Lebowitz and Penrose under practical and simple hypotheses for Markov chains on a finite configuration space in some asymptotic regime. By comparing restricted ensembles and quasi-stationary measures, and introducing soft measures as an interpolation between the two, we prove an asymptotic exponential exit law and, on a generally different time scale, an asymptotic exponential transition law. By using potential-theoretic tools, and introducing “(κ,λ)(κ,λ)-capacities”, we give sharp estimates on relaxation time, as well as mean exit time and transition time. We also establish local thermalization on shorter time scales.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematics (General)
Authors
Alessandra Bianchi, Alexandre Gaudillière,