Synchronization in the Kuramoto model in presence of stochastic resetting

Abstract

What happens when the paradigmatic Kuramoto model involving interacting oscillators of distributed natural frequencies and showing spontaneous collective synchronization in the stationary state is subject to random and repeated interruptions of its dynamics with a reset to the initial condition? While resetting to a synchronized state, it may happen between two successive resets that the system desynchronizes, which depends on the duration of the random time interval between the two resets. Here, we unveil how such a protocol of stochastic resetting dramatically modifies the phase diagram of the bare model, allowing in particular for the emergence of a synchronized phase even in parameter regimes for which the bare model does not support such a phase. Our results are based on an exact analysis invoking the celebrated Ott-Antonsen ansatz for the case of Lorentzian distribution of natural frequencies, and numerical results for Gaussian frequency distribution. Our work provides a simple protocol to induce global synchrony in the system through stochastic resetting.

Invited contribution to journal "Chaos" Special Issue "Dynamics of Oscillator Populations" edited by Arkady Pikovsky and Michael Rosenblum

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Cited by in corpus (5)

• Exact finite-dimensional description for networks of globally coupled spiking neurons
• Condensation transition in large deviations of self-similar Gaussian processes with stochastic resetting
• Dynamics of closed quantum systems under stochastic resetting
• Biased random walk on random networks in presence of stochastic resetting: Exact results
• Influence of cumulative damage on synchronization of Kuramoto oscillators on networks