Fully Synchronous Solutions and the Synchronization Phase Transition for the Finite N Kuramoto Model

TL;DR

This paper analyzes the stability of synchronized solutions in the finite N Kuramoto model, deriving analytical expressions for synchronization thresholds, bounds on synchronization probability, and revealing a logarithmic correction in the large N limit for Gaussian frequencies.

Contribution

It provides new analytical tools for understanding the stability and phase transition of synchronization in finite Kuramoto systems, including extremal value effects.

Findings

Analytical expressions for the first and last frequency vectors to synchronize.

Bounds on the probability of synchronization for random frequency vectors.

Logarithmic correction in the large N scaling for Gaussian-distributed frequencies.

Abstract

We present a detailed analysis of the stability of synchronized solutions to the Kuramoto system of oscillators. We derive an analytical expression counting the dimension of the unstable manifold associated to a given stationary solution. From this we are able to derive a number of consequences, including: analytic expressions for the first and last frequency vectors to synchronize, upper and lower bounds on the probability that a randomly chosen frequency vector will synchronize, and very sharp results on the large $N$ limit of this model. One of the surprises in this calculation is that for frequencies that are Gaussian distributed the correct scaling for full synchrony is not the one commonly studied in the literature---rather, there is a logarithmic correction to the scaling which is related to the extremal value statistics of the random frequency vector.