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Stein's Method for Dependent Random Variables Occuring in Statistical Mechanics


 
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1. Title Title of document Stein's Method for Dependent Random Variables Occuring in Statistical Mechanics
 
2. Creator Author's name, affiliation, country Peter Eichelsbacher; Ruhr University of Bochum; Germany
 
2. Creator Author's name, affiliation, country Matthias Loewe; University of Muenster; Germany
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Berry-Esseen bound, Stein's method, exchangeable pairs, Curie Weiss models, critical temperature, GHS-inequality
 
3. Subject Subject classification 60F05, 82B20, 82B26
 
4. Description 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.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) SFB/TR 12 and Mathematisches Forschungsinstitut Oberwolfach
 
7. Date (YYYY-MM-DD) 2010-06-28
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/777
 
10. Identifier Digital Object Identifier 10.1214/EJP.v15-777
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 15
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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