Rare slips in fluctuating synchronized oscillator networks

Abstract

We study rare phase slips due to noise in synchronized Kuramoto oscillator networks. In the small-noise limit, we demonstrate that slips occur via large fluctuations to saddle phase-locked states. For tree topologies, slips appear between subgraphs that become disconnected at a saddle-node bifurcation, where phase-locked states lose stability generically. This pattern is demonstrated for sparse networks with several examples. Scaling laws are derived and compared for different tree topologies. On the other hand, for dense networks slips occur between oscillators on the edges of the frequency distribution. If the distribution is discrete, the probability-exponent for large fluctuations to occur scales linearly with the system size. However, if the distribution is continuous, the probability is a constant in the large network limit, as individual oscillators fluctuate to saddles while all others remain fixed. In the latter case, the network's coherence is approximately preserved.

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• Dynamical equivalence between Kuramoto models with first- and higher-order coupling
• Unstable oscillations and bistability in delay-coupled swarms
• Torus bifurcations of large-scale swarms having range dependent communication delay
• Assessing the impact of Byzantine attacks on coupled phase oscillators
• Large and small fluctuations in oscillator networks from heterogeneous and correlated noise
• Faster network disruption from layered oscillatory dynamics
• Resilience of the slow component in timescale separated synchronized oscillators