Metastable states, quasi-stationary distributions and soft measures

被引:35
作者
Bianchi, Alessandra [1 ]
Gaudilliere, Alexandre [2 ]
机构
[1] Univ Padua, Dipartimento Matemat, Via Trieste 63, I-35121 Padua, Italy
[2] Aix Marseille Univ, Cent Marseille, CNRS, I2M,UMR 7373, F-13453 Marseille, France
基金
欧洲研究理事会;
关键词
Metastability; Restricted ensemble; Quasi-stationary measure; Soft measures; Exponential law; Spectral gap; Mixing time; Potential theory; REVERSIBLE DIFFUSION-PROCESSES; GLAUBER DYNAMICS; SHARP ASYMPTOTICS; KAWASAKI DYNAMICS; ISING-MODEL; NUCLEATION; DROPLETS; RELAXATION; BEHAVIOR; CUTOFF;
D O I
10.1016/j.spa.2015.11.015
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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 "(k,lambda)-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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:1622 / 1680
页数:59
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