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2010 Stein's Method for Dependent Random Variables Occuring in Statistical Mechanics
Peter Eichelsbacher, Matthias Loewe
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Electron. J. Probab. 15: 962-988 (2010). DOI: 10.1214/EJP.v15-777

Abstract

We develop Stein's method for exchangeable pairs for a rich class of distributional approximations including the Gaussian distributions as well as the non-Gaussian limit distributions. As a consequence we obtain convergence rates in limit theorems of partial sums for certain sequences of dependent, identically distributed random variables which arise naturally in statistical mechanics, in particular in the context of the Curie-Weiss models. Our results include a Berry-Esseen rate in the Central Limit Theorem for the total magnetization in the classical Curie-Weiss model, for high temperatures as well as at the critical temperature, where the Central Limit Theorem fails. Moreover, we analyze Berry-Esseen bounds as the temperature converges to one and obtain a threshold for the speed of this convergence. Single spin distributions satisfying the Griffiths-Hurst-Sherman (GHS) inequality like models of liquid helium or continuous Curie-Weiss models are considered.

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Peter Eichelsbacher. Matthias Loewe. "Stein's Method for Dependent Random Variables Occuring in Statistical Mechanics." Electron. J. Probab. 15 962 - 988, 2010. https://doi.org/10.1214/EJP.v15-777

Information

Accepted: 28 June 2010; Published: 2010
First available in Project Euclid: 1 June 2016

zbMATH: 1225.60042
MathSciNet: MR2659754
Digital Object Identifier: 10.1214/EJP.v15-777

Subjects:
Primary: 60F05
Secondary: 82B20, 82B26

JOURNAL ARTICLE
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Vol.15 • 2010
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