English

Dynamical phase transition for the homogeneous multi-component Curie-Weiss-Potts model

Probability 2025-07-21 v2 Statistical Mechanics Mathematical Physics math.MP

Abstract

In this paper, we study the homogeneous multi-component Curie-Weiss-Potts model with q3q \geq 3 spins. The model is defined on the complete graph KNmK_{Nm}, whose vertex set is equally partitioned into mm components of size NN. For a configuration σ:{1,,Nm}{1,,q},\sigma: \{1, \cdots, Nm\} \to \{1, \cdots, q\}, the Gibbs measure is defined by μN,β(σ)=1ZN,βexp(βNv,w=1NmJ(v,w)1{σ(v)=σ(w)}), \mu_{N,\beta}(\sigma) =\frac{1}{Z_{N,\beta}} \exp\Big(\frac{\beta}{N} \sum_{v,w=1}^{Nm}\mathcal{J}(v,w)\, \mathbb{1}_{\{\sigma(v)=\sigma(w)\}}\Big), where ZN,βZ_{N, \beta} is a normalizing constant, and β>0\beta>0 is the inverse temperature parameter. The interaction coefficients are J(v,w)=J1+(m1)λ \mathcal{J}(v, w) = \frac{J}{1 + (m-1) \lambda}, for v,wv, w in the same component, and J(v,w)=Jλ1+(m1)λ\mathcal{J}(v, w) = \frac{J \lambda}{1 + (m-1)\lambda} for v,wv, w in the different components, where λ(0,1)\lambda \in (0, 1) is the relative strength of inter-component interaction to intra-component interaction, and J>0J>0 is the effective interaction strength. We identify a dynamical phase transition at the critical inverse temperature βcr=βs(q)/J\beta_{\operatorname{cr}} = \beta_{s}(q)/J, where βs(q)\beta_{s}(q) is maximal inverse temperature guaranteeing a unique critical point of the free energy in the Curie-Weiss-Potts model arXiv:1204.4503. By extending the aggregate path method arXiv:1312.6728 to our multi-component setting, we prove O(NlogN)O(N \log N) mixing time in the high-temperature regime β<βs(q)/J.\beta<\beta_{s}(q)/J. In the low-temperature regime β>βs(q)/J,\beta > \beta_{s}(q)/J, we further show exponential mixing time by a metastability. This is the first result for the dynamical phase transition in the multi-component Potts model.

Keywords

Cite

@article{arxiv.2211.11463,
  title  = {Dynamical phase transition for the homogeneous multi-component Curie-Weiss-Potts model},
  author = {Kyunghoo Mun},
  journal= {arXiv preprint arXiv:2211.11463},
  year   = {2025}
}
R2 v1 2026-06-28T06:22:18.607Z