FLATNESS IS A CRITERION FOR SELECTION OF MAXIMIZING MEASURES

Renaud Leplaideur (1)

1 LM - Laboratoire de mathématiques de Brest

For a full shift with Np+1 symbols and for a non-positive potential, locally proportional to the distance to one of N disjoint full shifts with p symbols, 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.

Mots clés: ergodic optimization; equilibrium state; ground states; selection of measure

Domaines: Systèmes dynamiques [math.DS]

Renaud Leplaideur. FLATNESS IS A CRITERION FOR SELECTION OF MAXIMIZING MEASURES. 2011. ⟨hal-00662854⟩