English

From incoherence to synchronicity in the network Kuramoto model

Pattern Formation and Solitons 2015-05-14 v1 Adaptation and Self-Organizing Systems

Abstract

We study the synchronisation properties of the Kuramoto model of coupled phase oscillators on a general network. Here we distinguish the ability of such a system to self-synchronise from the stability of this behaviour. While self-synchronisation is a consequence of genuine non-perturbative dynamics, the stability in dynamical systems is usually accessible by fluctuations about a fixed point, here taken to be the synchronised solution. We examine this problem in terms of modes of the graph Laplacian, by which the absolute Lyapunov stability of the synchronised fixed point is readily demonstrated. Departures from stability are seen to arise at the next order in fluctuations where the dynamical equations resemble those for species population models, the logistic and Lotka-Volterra equations. Methods from these systems are exploited to analytically derive new critical couplings signalling deviation from classical stability. We observe in some cases an intermediate regime of behaviour, between incoherence and synchronisation, where system wide periodic behaviours are exhibited. We discuss these results in light of simulations.

Keywords

Cite

@article{arxiv.0909.0176,
  title  = {From incoherence to synchronicity in the network Kuramoto model},
  author = {Alexander C. Kalloniatis},
  journal= {arXiv preprint arXiv:0909.0176},
  year   = {2015}
}

Comments

11 pages, 4 figures

R2 v1 2026-06-21T13:41:09.456Z