Synchronization of mean-field models on the circle
Dynamical Systems
2025-07-31 v1 Machine Learning
Analysis of PDEs
Optimization and Control
Abstract
This paper considers a mean-field model of interacting particles whose state space is the unit circle, a generalization of the classical Kuramoto model. Global synchronization is said to occur if after starting from almost any initial state, all particles coalesce to a common point on the circle. We propose a general synchronization criterion in terms of -norm of the third derivative of the particle interaction function. As an application we resolve a conjecture for the so-called self-attention dynamics (stylized model of transformers), by showing synchronization for all , which significantly extends the previous bound of from Criscitiello, Rebjock, McRae, and Boumal (2024). We also show that global synchronization does not occur when .
Cite
@article{arxiv.2507.22857,
title = {Synchronization of mean-field models on the circle},
author = {Yury Polyanskiy and Philippe Rigollet and Andrew Yao},
journal= {arXiv preprint arXiv:2507.22857},
year = {2025}
}