Large deviation for Gibbs probabilities at zero temperature and invariant idempotent probabilities for iterated function systems
Abstract
We consider two compact metric spaces J and X and a uniform contractible iterated function system \φj: X X \, | \, j ∈ J \. For a Lipschitz continuous function A on J × X and for each β>0 we consider the Gibbs probability _β A. Our goal is to study a large deviation principle for such family of probabilities as β +∞ and its connections with idempotent probabilities. In the non-place dependent case (A(j,x)=Aj,\,∀ x∈ X) we will prove that (_β A) satisfy a LDP and -I (where I is the deviation function) is the density of the unique invariant idempotent probability for a mpIFS associated to A. In the place dependent case, we prove that, if (_β A) satisfy a LDP, then -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.
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