Flatness Is a Criterion for Selection of Maximizing Measures

被引:7
|
作者
Leplaideur, Renaud [1 ]
机构
[1] Univ Brest, Lab Math Bretagne Atlantique, UMR 6205, F-29285 Brest, France
关键词
Ergodic optimization; Maximizing measure; Selection; Zero temperature; Ground states; One-dimensional lattice system; GROUND-STATES; MINIMIZING MEASURES; GIBBS MEASURES;
D O I
10.1007/s10955-012-0497-7
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
For the one-dimensional classical spin system, each spin being able to get Np+1 values, and for a non-positive potential, locally proportional to the distance to one of N disjoint configurations set {(j-1)p+1,aEuro broken vertical bar,jp}(a"currency sign), we prove that the equilibrium state converges as the temperature goes to 0. The main result is that the limit is a convex combination of the two ergodic measures with maximal entropy among maximizing measures and whose supports are the two shifts where the potential is the flattest. In particular, this is a hint to solve the open problem of selection, and this indicates that flatness is probably a/the criterion for selection as it was conjectured by A.O. Lopes. As a by product we get convergence of the eigenfunction at the log-scale to a unique calibrated subaction.
引用
收藏
页码:728 / 757
页数:30
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