The Annals of Probability

Large Deviations and Maximum Entropy Principle for Interacting Random Fields on $\mathbb{Z}^d$

Hans-Otto Georgii

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Abstract

We present a new approach to the principle of large deviations for the empirical field of a Gibbsian random field on the integer lattice $\mathbb{Z}^d$. This approach has two main features. First, we can replace the traditional weak topology by the finer topology of convergence of cylinder probabilities, and thus obtain estimates which are finer and more widely applicable. Second, we obtain as an immediate consequence a limit theorem for conditional distributions under conditions on the empirical field, the limits being those predicted by the maximum entropy principle. This result implies a general version of the equivalence of Gibbs ensembles, stating that every microcanonical limiting state is a grand canonical equilibrium state. We also prove a converse to the last statement, and discuss some applications.

Article information

Source
Ann. Probab., Volume 21, Number 4 (1993), 1845-1875.

Dates
First available in Project Euclid: 19 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aop/1176989002

Digital Object Identifier
doi:10.1214/aop/1176989002

Mathematical Reviews number (MathSciNet)
MR1245292

Zentralblatt MATH identifier
0790.60031

JSTOR
links.jstor.org

Subjects
Primary: 60F10: Large deviations
Secondary: 60K35: Interacting random processes; statistical mechanics type models; percolation theory [See also 82B43, 82C43] 82B05: Classical equilibrium statistical mechanics (general)

Keywords
Large deviations maximum entropy principle Gibbs measure equilibrium state conditional limit theorem equivalence of ensembles microcanonical distribution empirical distribution

Citation

Georgii, Hans-Otto. Large Deviations and Maximum Entropy Principle for Interacting Random Fields on $\mathbb{Z}^d$. Ann. Probab. 21 (1993), no. 4, 1845--1875. doi:10.1214/aop/1176989002. https://projecteuclid.org/euclid.aop/1176989002


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