English

Metastability in stochastic dynamics of disordered mean-field models

Disordered Systems and Neural Networks 2016-08-31 v2 Mathematical Physics math.MP

Abstract

We study a class of Markov chains that describe reversible stochastic dynamics of a large class of disordered mean field models at low temperatures. Our main purpose is to give a precise relation between the metastable time scales in the problem to the properties of the rate functions of the corresponding Gibbs measures. We derive the analog of the Wentzell-Freidlin theory in this case, showing that any transition can be decomposed, with probability exponentially close to one, into a deterministic sequence of ``admissible transitions''. For these admissible transitions we give upper and lower bounds on the expected transition times that differ only by a constant. The distribution rescaled transition times are shown to converge to the exponential distribution. We exemplify our results in the context of the random field Curie-Weiss model.

Keywords

Cite

@article{arxiv.cond-mat/9811331,
  title  = {Metastability in stochastic dynamics of disordered mean-field models},
  author = {A. Bovier and M. Eckhoff and V. Gayrard and M. Klein},
  journal= {arXiv preprint arXiv:cond-mat/9811331},
  year   = {2016}
}

Comments

73pp, AMSTEX