Chaos in Symmetric Phase Oscillator Networks

Abstract

Phase-coupled oscillators serve as paradigmatic models of networks of weakly interacting oscillatory units in physics and biology. The order parameter which quantifies synchronization was so far found to be chaotic only in systems with inhomogeneities. Here we show that even symmetric systems of identical oscillators may not only exhibit chaotic dynamics, but also chaotically fluctuating order parameters. Our findings imply that neither inhomogeneities nor amplitude variations are necessary to obtain chaos, i.e., nonlinear interactions of phases give rise to the necessary instabilities.

4 pages; Accepted by Physical Review Letters

References in corpus (2)

• Low Dimensional Behavior of Large Systems of Globally Coupled Oscillators
• Collective behavior of heterogeneous neural networks

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