Global optimization, the Gaussian ensemble, and universal ensemble equivalence
arXiv:cond-mat/0605658
Abstract
Shortened abstract: Given a constrained minimization problem, under what conditions does there exist a related, unconstrained problem having the same minimum points? This basic question in global optimization motivates this paper, which answers it from the viewpoint of statistical mechanics. In this context, it reduces to the fundamental question of the equivalence and nonequivalence of ensembles, which is analyzed using the theory of large deviations and the theory of convex functions.
RevTeX4, 23 pages, 1 figure. Proc. MSRI Conference on Probability, Geometry, and Integrable Systems, December 2005
References in corpus (5)
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- Thermodynamic versus statistical nonequivalence of ensembles for the mean-field Blume-Emery-Griffiths model
- Generalized canonical ensembles and ensemble equivalence
- The generalized canonical ensemble and its universal equivalence with the microcanonical ensemble
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