Nonlinear Thermodynamic Formalism: Mean-field Phase Transitions, Large Deviations and Bogoliubov's Variational Principle
Abstract
Let =\1,2,… ,d\N, T be the shift acting on , P(T) the set of T-invariant probabilities. Given a H\"older potential A and a continuous function F, we investigate the probabilities F,A that are maximizers of the nonlinear pressure PF,A:= ∈ P(T)\ F(∫ A(x) (dx))+h( )\ . F,A is called a nonlinear equilibrium; a nonlinear phase transition occurs when there is more than one. In the case F\ is convex or concave, we combine Varadhan's lemma and Bogoliubov's variational principle to characterize them via the linear pressure problem and self-consistency conditions. Let μ ∈ P(T) be the maximal entropy measure, n(x)=n-1( (x)+ (T(x))+·s + (Tn-1(x))) and β >0. (I) We also consider the limit measure m on , so that ∀ ∈ C( ), ∫ (x)\,m\,( dx)\,\,=n→ ∞ \,∫ \, (x)\,\,\,e β n2\,\,An((x)2\,\,μ \,(dx)\,∫ e β n2\,\,An((x)2μ \,(dx)\,\,. We call m a quadratic mean-field Gibbs probability (II) Via subsequences nk, k∈ N, we study the limit measure M on , so that ∀ ∈ C( ), ∫ (x)M(d x)=k→ ∞ \,∫ nk(x)eβ nk2Ank(x)2μ (dx)∫ eβ nk2 Ank(x)2μ (dx). We call M a quadratic mean-field equilibrium probability; it is shift-invariant. Explicit examples are given.
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