English

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\Omega =\{1,2,\ldots ,d\}^{\mathbb{N}}, TT be the shift acting on Ω\Omega , P(T)\mathcal{P}(T) the set of TT-invariant probabilities. Given a H\"{o}lder potential AA and a continuous function FF, we investigate the probabilities ρF,A\rho _{F,A} that are maximizers of the nonlinear pressure PF,A:=supρP(T){F(A(x)ρ(dx))+h(ρ)}.\mathfrak{P}_{F,A}:=\sup_{\rho \in \mathcal{P}(T)}\{ F(\int A(x)\rho (\mathrm{d}x))+h(\rho )\} . ρF,A\rho _{F,A}} is called a nonlinear equilibrium; a nonlinear phase transition occurs when there is more than one. In the case FF\ 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 μP(T)\mu \in \mathcal{P}(T) be the maximal entropy measure, φn(x)=n1(φ(x)+φ(T(x))++φ(Tn1(x)))\varphi _{n}(x)=n^{-1}(\varphi (x)+\varphi (T(x))+\cdots +\varphi (T^{n-1}(x))) and β>0\beta >0.}\newline (I) We also consider the limit measure m\mathfrak{m} on Ω \Omega , so that ψC(Ω)\forall \psi \in C(\Omega ), ψ(x)m(dx)=limnψ(x)eβn2An((x)2μ(dx)eβn2An((x)2μ(dx).\int \psi (x)\,\mathfrak{m}\,( \mathrm{d}x)\,\,=\lim_{n\rightarrow \infty }\frac{\,\int \,\psi (x)\,\,\,e^{ \frac{\beta n}{2}\,\,A_{n}((x)^{2}}\,\,\mu \,(\mathrm{d}x)\,}{\int e^{\frac{ \beta n}{2}\,\,A_{n}((x)^{2}}\mu \,(\mathrm{d}x)\,\,}. We call m\mathfrak{m} a \textit{quadratic mean-field Gibbs probability (II) Via subsequences nkn_{k}, kNk\in \mathbb{N}, we study the limit measure M\mathfrak{M} on Ω\Omega , so that ψC(Ω)\forall \psi \in C(\Omega ), ψ(x)M(dx)=limkψnk(x)eβnk2Ank(x)2μ(dx)eβnk2Ank(x)2μ(dx).\int \psi (x)\mathfrak{M}(\mathrm{d} x)=\lim_{k\rightarrow \infty }\frac{\,\int \psi _{n_{k}}(x)e^{\frac{\beta n_{k}}{2}A_{n_{k}}(x)^{2}}\mu (\mathrm{d}x)}{\int e^{\frac{\beta n_{k}}{2} A_{n_{k}}(x)^{2}}\mu (\mathrm{d}x)}. We call M\mathfrak{M} a quadratic mean-field equilibrium probability; it is shift-invariant. Explicit examples are given.

Keywords

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}
}