Phase transitions and linear stability for the mean-field Kuramoto-Daido model
Abstract
We consider the mean-field noisy Kuramoto-Daido model, which is a McKean-Vlasov equation on the circle with bimodal interaction for and interaction strength , generalizing the celebrated noisy Kuramoto model corresponding to . Our first contribution is to characterize the phase transition threshold by comparing it to the linear stability threshold of the uniform distribution. When , coinciding with that of the Kuramoto model. On the other hand, for , we show . We also classify the regimes in which the phase transition is continuous or discontinuous. Our second contribution is to analyze the linear stability of a global minimizer (the ``ordered phase'') of the mean-field free energy in the supercritical regime . This stationary solution of the Kuramoto-Daido equation is unique up to translation invariance and distinct from the uniform distribution (the ``disordered phase''). Our approach extends the Dirichlet form method of Bertini et al. from the unimodal to bimodal setting. In particular, for and , we show an explicit lower bound on the spectral gap of the linearized McKean-Vlasov operator at . To our knowledge, this is the first rigorous stability analysis for this class of models with bimodal interactions.
Keywords
Cite
@article{arxiv.2602.14954,
title = {Phase transitions and linear stability for the mean-field Kuramoto-Daido model},
author = {Kyunghoo Mun and Matthew Rosenzweig},
journal= {arXiv preprint arXiv:2602.14954},
year = {2026}
}
Comments
41 pages, 1 figure