Metastates in Mean-Field Models with Random External Fields Generated by Markov Chains

被引:2
|
作者
Formentin, M. [1 ,2 ]
Kuelske, C. [1 ]
Reichenbachs, A. [1 ]
机构
[1] Univ Bochum, Fak Math, D-44780 Bochum, Germany
[2] Univ Padua, Dipartimento Fis Galileo Galilei, I-35131 Padua, Italy
关键词
Gibbs measures; Mean-field systems; Disordered systems; Metastates; Markov chains; Ising model; Potts model; SYMMETRY-BREAKING; SPIN-GLASSES; STATES;
D O I
10.1007/s10955-011-0391-8
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We extend the construction by Kulske and Iacobelli of metastates in finite-state mean-field models in independent disorder to situations where the local disorder terms 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 that the metastate can have less symmetry than the symmetry of the interaction and a Gaussian approximation of disorder fluctuations would suggest.
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页码:314 / 329
页数:16
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