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December 2010 Asymptotic behavior of the finite-size magnetization as a function of the speed of approach to criticality
Richard S. Ellis, Jonathan Machta, Peter Tak-Hun Otto
Ann. Appl. Probab. 20(6): 2118-2161 (December 2010). DOI: 10.1214/10-AAP679

Abstract

The main focus of this paper is to determine whether the thermodynamic magnetization is a physically relevant estimator of the finite-size magnetization. This is done by comparing the asymptotic behaviors of these two quantities along parameter sequences converging to either a second-order point or the tricritical point in the mean-field Blume–Capel model. We show that the thermodynamic magnetization and the finite-size magnetization are asymptotic when the parameter α governing the speed at which the sequence approaches criticality is below a certain threshold α0. However, when α exceeds α0, the thermodynamic magnetization converges to 0 much faster than the finite-size magnetization. The asymptotic behavior of the finite-size magnetization is proved via a moderate deviation principle when 0 < α < α0 and via a weak-convergence limit when α > α0. To the best of our knowledge, our results are the first rigorous confirmation of the statistical mechanical theory of finite-size scaling for a mean-field model.

Citation

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Richard S. Ellis. Jonathan Machta. Peter Tak-Hun Otto. "Asymptotic behavior of the finite-size magnetization as a function of the speed of approach to criticality." Ann. Appl. Probab. 20 (6) 2118 - 2161, December 2010. https://doi.org/10.1214/10-AAP679

Information

Published: December 2010
First available in Project Euclid: 19 October 2010

zbMATH: 1250.82013
MathSciNet: MR2759730
Digital Object Identifier: 10.1214/10-AAP679

Subjects:
Primary: 60F05 , 60F10
Secondary: 82B20

Keywords: Blume–Capel model , Finite-size magnetization , finite-size scaling , first-order phase transition , large deviation principle , Moderate deviation principle , Scaling limit , second-order phase transition , thermodynamic magnetization , tricritical point

Rights: Copyright © 2010 Institute of Mathematical Statistics

Vol.20 • No. 6 • December 2010
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