On the Critical Coupling of the Finite Kuramoto Model on Dense Networks
Shuyang Ling

TL;DR
This paper analyzes the critical coupling strength needed for synchronization in the Kuramoto model on dense networks, extending understanding from all-to-all networks and providing conditions for stable, phase-cohesive synchronization.
Contribution
It offers a sufficient condition for the existence of a unique, stable, and phase-cohesive equilibrium in Kuramoto oscillators on dense networks, generalizing from all-to-all configurations.
Findings
Derived a sufficient condition for stable synchronization
Numerical simulations support theoretical results
Identified phase-cohesive equilibrium in dense networks
Abstract
Kuramoto model is one of the most prominent models for the synchronization of coupled oscillators. It has long been a research hotspot to understand how natural frequencies, the interaction between oscillators, and network topology determine the onset of synchronization. In this paper, we investigate the critical coupling of Kuramoto oscillators on deterministic dense networks, viewed as a natural generalization from all-to-all networks of identical oscillators. We provide a sufficient condition under which the Kuramoto model with non-identical oscillators has one unique and stable equilibrium. Moreover, this equilibrium is phase cohesive and enjoys local exponential synchronization. We perform numerical simulations of the Kuramoto model on random networks and circulant networks to complement our theoretical analysis and provide insights for future research.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Slime Mold and Myxomycetes Research · Neural Networks Stability and Synchronization
