Circular cumulant reductions for macroscopic dynamics of oscillator populations with non-Gaussian noise

Author:

Dolmatova Anastasiya V.1ORCID,Tyulkina Irina V.12ORCID,Goldobin Denis S.123ORCID

Affiliation:

1. Institute of Continuous Media Mechanics, UB RAS 1 , Academician Korolev Street 1, 614013 Perm, Russia

2. Department of Control Theory, Nizhny Novgorod State University 2 , Gagarin Avenue 23, 603022 Nizhny Novgorod, Russia

3. Department of Theoretical Physics, Perm State University 3 , Bukirev Street 15, 614990 Perm, Russia

Abstract

We employ the circular cumulant approach to construct a low dimensional description of the macroscopic dynamics of populations of phase oscillators (elements) subject to non-Gaussian white noise. Two-cumulant reduction equations for α-stable noises are derived. The implementation of the approach is demonstrated for the case of the Kuramoto ensemble with non-Gaussian noise. The results of direct numerical simulation of the ensemble of N=1500 oscillators and the “exact” numerical solution for the fractional Fokker–Planck equation in the Fourier space are found to be in good agreement with the analytical solutions for two feasible circular cumulant model reductions. We also illustrate that the two-cumulant model reduction is useful for studying the bifurcations of chimera states in hierarchical populations of coupled noisy phase oscillators.

Funder

Russian Science Foundation

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Collective dynamics and shot-noise-induced switching in a two-population neural network;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-05-01

2. Macroscopic behavior of populations of quadratic integrate-and-fire neurons subject to non-Gaussian white noise;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-01-01

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