English

Large deviation for Gibbs probabilities at zero temperature and invariant idempotent probabilities for iterated function systems

Dynamical Systems 2024-05-22 v1 Mathematical Physics math.MP

Abstract

We consider two compact metric spaces JJ and XX and a uniform contractible iterated function system {ϕj:XXjJ}\{\phi_j: X \to X \, | \, j \in J \}. For a Lipschitz continuous function AA on J×XJ \times X and for each β>0\beta>0 we consider the Gibbs probability ρβA\rho_{_{\beta A}}. Our goal is to study a large deviation principle for such family of probabilities as β+\beta \to +\infty and its connections with idempotent probabilities. In the non-place dependent case (A(j,x)=Aj,xXA(j,x)=A_j,\,\forall x\in X) we will prove that (ρβA)(\rho_{_{\beta A}}) satisfy a LDP and I-I (where II is the deviation function) is the density of the unique invariant idempotent probability for a mpIFS associated to AA. In the place dependent case, we prove that, if (ρβA)(\rho_{_{\beta A}}) satisfy a LDP, then I-I is the density of an invariant idempotent probability. Such idempotent probabilities were recently characterized through the Ma\~{n}\'{e} potential and Aubry set, therefore we will obtain an identical characterization for I-I.

Keywords

Cite

@article{arxiv.2405.12793,
  title  = {Large deviation for Gibbs probabilities at zero temperature and invariant idempotent probabilities for iterated function systems},
  author = {Jairo. K. Mengue and Elismar R. Oliveira},
  journal= {arXiv preprint arXiv:2405.12793},
  year   = {2024}
}

Comments

24 pages

R2 v1 2026-06-28T16:34:19.260Z