Phase transitions and linear stability for the mean-field Kuramoto-Daido model
Kyunghoo Mun, Matthew Rosenzweig

TL;DR
This paper analyzes phase transitions and stability in a generalized mean-field Kuramoto-Daido model with bimodal interactions, characterizing thresholds and regimes for continuous or discontinuous transitions, and providing the first rigorous stability results for bimodal interactions.
Contribution
It extends the analysis of the Kuramoto model to bimodal interactions, characterizing phase transition thresholds and establishing stability of ordered phases with explicit spectral gap bounds.
Findings
Phase transition threshold $K_c$ depends on bimodal parameter $m$.
For $m o 0$, the model recovers the classical Kuramoto transition.
Explicit spectral gap bounds are provided for certain parameter regimes.
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…
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Taxonomy
TopicsStability and Controllability of Differential Equations · Nonlinear Dynamics and Pattern Formation · Solidification and crystal growth phenomena
