Phase reduction explains chimera shape: when multi-body interaction matters

Author:

Erik T. K. Mau, Oleh E. Omel'chenko, Michael Rosenblum

Keyword:

Nonlinear Sciences, Adaptation and Self-Organizing Systems, Adaptation and Self-Organizing Systems (nlin.AO), Chaotic Dynamics (nlin.CD), Pattern Formation and Solitons (nlin.PS)

journal:

date:

2023-12-14 00:00:00

Abstract

We present an extension of the Kuramoto-Sakaguchi model for networks, deriving the second-order phase approximation for a paradigmatic model of oscillatory networks - an ensemble of non-identical Stuart-Landau oscillators coupled pairwisely via an arbitrary adjacency matrix. We explicitly demonstrate how this matrix translates into the coupling structure in the phase equations. To illustrate the power of our approach and the crucial importance of high-order phase reduction, we tackle a trendy setup of non-locally coupled oscillators exhibiting a chimera state. We reveal that our second-order phase model reproduces the dependence of the chimera shape on the coupling strength that is not captured by the typically used first-order Kuramoto-like model. Our derivation contributes to the rapidly developing field of hypernetworks, establishing a relation between the adjacency matrix and multi-body interaction terms in the high-order phase model.

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