Nonlinear Thermodynamic Formalism: Mean-field Phase Transitions, Large Deviations and Bogoliubov's Variational Principle
Dynamical Systems
2025-11-11 v1 Statistical Mechanics
Mathematical Physics
math.MP
Probability
Abstract
Let Ω={1,2,…,d}N, T be the shift acting on Ω, P(T) the set of T-invariant probabilities. Given a H\"{o}lder potential A and a continuous function F, we investigate the probabilities ρF,A that are maximizers of the nonlinear pressure PF,A:=supρ∈P(T){F(∫A(x)ρ(dx))+h(ρ)}. ρF,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, φn(x)=n−1(φ(x)+φ(T(x))+⋯+φ(Tn−1(x))) and β>0.}\newline (I) We also consider the limit measure m on Ω, so that ∀ψ∈C(Ω), ∫ψ(x)m(dx)=limn→∞∫e2βnAn((x)2μ(dx)∫ψ(x)e2βnAn((x)2μ(dx). We call m a \textit{quadratic mean-field Gibbs probability (II) Via subsequences nk, k∈N, we study the limit measure M on Ω, so that ∀ψ∈C(Ω), ∫ψ(x)M(dx)=limk→∞∫e2βnkAnk(x)2μ(dx)∫ψnk(x)e2βnkAnk(x)2μ(dx). We call M a quadratic mean-field equilibrium probability; it is shift-invariant. Explicit examples are given.
Cite
@article{arxiv.2511.06975,
title = {Nonlinear Thermodynamic Formalism: Mean-field Phase Transitions, Large Deviations and Bogoliubov's Variational Principle},
author = {Jean-Bernard Bru and Walter de Siqueira Pedra and Artur O. Lopes},
journal= {arXiv preprint arXiv:2511.06975},
year = {2025}
}