From incoherence to synchronicity in the network Kuramoto model

TL;DR

This paper investigates the synchronization and stability of the Kuramoto model on networks, revealing new critical couplings and intermediate regimes with periodic behaviors through analytical and simulation methods.

Contribution

It introduces a novel analysis of stability using graph Laplacian modes and derives new critical couplings, expanding understanding of synchronization dynamics.

Findings

Identification of stability conditions via Laplacian modes

Discovery of intermediate periodic regimes

Analytical derivation of critical coupling values

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.