Global optimization, the Gaussian ensemble, and universal ensemble equivalence
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.
 Publication:

arXiv eprints
 Pub Date:
 May 2006
 arXiv:
 arXiv:condmat/0605658
 Bibcode:
 2006cond.mat..5658C
 Keywords:

 Condensed Matter  Statistical Mechanics
 EPrint:
 RevTeX4, 23 pages, 1 figure. Proc. MSRI Conference on Probability, Geometry, and Integrable Systems, December 2005