A stochastic approximation for the finite-size Kuramoto-Sakaguchi model

Fuente: arXiv
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Auteurs principaux: Yue, Wenqi, Gottwald, Georg A.
Format: Preprint
Publié: 2023
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author Yue, Wenqi
Gottwald, Georg A.
author_facet Yue, Wenqi
Gottwald, Georg A.
contents We perform a stochastic model reduction of the Kuramoto-Sakaguchi model for finitely many coupled phase oscillators with phase frustration. Whereas in the thermodynamic limit coupled oscillators exhibit stationary states and a constant order parameter, finite-size networks exhibit persistent temporal fluctuations of the order parameter. These fluctuations are caused by the interaction of the synchronized oscillators with the non-entrained oscillators. We present numerical results suggesting that the collective effect of the non-entrained oscillators on the synchronized cluster can be approximated by a Gaussian process. This allows for an effective closed evolution equation for the synchronized oscillators driven by a Gaussian process which we approximate by a two-dimensional Ornstein-Uhlenbeck process. Our reduction reproduces the stochastic fluctuations of the order parameter and leads to a simple stochastic differential equation for the order parameter.
format Preprint
id arxiv_https___arxiv_org_abs_2310_20048
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A stochastic approximation for the finite-size Kuramoto-Sakaguchi model
Yue, Wenqi
Gottwald, Georg A.
Adaptation and Self-Organizing Systems
Dynamical Systems
We perform a stochastic model reduction of the Kuramoto-Sakaguchi model for finitely many coupled phase oscillators with phase frustration. Whereas in the thermodynamic limit coupled oscillators exhibit stationary states and a constant order parameter, finite-size networks exhibit persistent temporal fluctuations of the order parameter. These fluctuations are caused by the interaction of the synchronized oscillators with the non-entrained oscillators. We present numerical results suggesting that the collective effect of the non-entrained oscillators on the synchronized cluster can be approximated by a Gaussian process. This allows for an effective closed evolution equation for the synchronized oscillators driven by a Gaussian process which we approximate by a two-dimensional Ornstein-Uhlenbeck process. Our reduction reproduces the stochastic fluctuations of the order parameter and leads to a simple stochastic differential equation for the order parameter.
title A stochastic approximation for the finite-size Kuramoto-Sakaguchi model
topic Adaptation and Self-Organizing Systems
Dynamical Systems
url https://arxiv.org/abs/2310.20048