English

Metastates in mean-field models with random external fields generated by Markov chains

Mathematical Physics 2015-05-30 v2 Disordered Systems and Neural Networks math.MP Probability

Abstract

We extend the construction by Kuelske and Iacobelli of metastates in finite-state mean-field models in independent disorder to situations where the local disorder terms are are a sample of an external ergodic Markov chain in equilibrium. We show that for non-degenerate Markov chains, the structure of the theorems is analogous to the case of i.i.d. variables when the limiting weights in the metastate are expressed with the aid of a CLT for the occupation time measure of the chain. As a new phenomenon we also show in a Potts example that, for a degenerate non-reversible chain this CLT approximation is not enough and the metastate can have less symmetry than the symmetry of the interaction and a Gaussian approximation of disorder fluctuations would suggest.

Keywords

Cite

@article{arxiv.1109.4246,
  title  = {Metastates in mean-field models with random external fields generated by Markov chains},
  author = {M. Formentin and C. Kuelske and A. Reichenbachs},
  journal= {arXiv preprint arXiv:1109.4246},
  year   = {2015}
}

Comments

20 pages, 2 figures

R2 v1 2026-06-21T19:07:38.066Z