Stability and bifurcation of collective dynamics in phase oscillator populations with general coupling

Can Xu, Xuan Wang, Zhigang Zheng, and Zongkai Cai
Phys. Rev. E 103, 032307 – Published 15 March 2021

Abstract

The Kuramoto model serves as an illustrative paradigm for studying the synchronization transitions and collective behaviors in large ensembles of coupled dynamical units. In this paper, we present a general framework for analytically capturing the stability and bifurcation of the collective dynamics in oscillator populations by extending the global coupling to depend on an arbitrary function of the Kuramoto order parameter. In this generalized Kuramoto model with rotation and reflection symmetry, we show that all steady states characterizing the long-term macroscopic dynamics can be expressed in a universal profile given by the frequency-dependent version of the Ott-Antonsen reduction, and the introduced empirical stability criterion for each steady state degenerates to a remarkably simple expression described by the self-consistent equation [Iatsenko et al., Phys. Rev. Lett. 110, 064101 (2013)]. Here, we provide a detailed description of the spectrum structure in the complex plane by performing a rigorous stability analysis of various steady states in the reduced system. More importantly, we uncover that the empirical stability criterion for each steady state involved in the system is completely equivalent to its linear stability condition that is determined by the nontrivial eigenvalues (discrete spectrum) of the linearization. Our study provides a new and widely applicable approach for exploring the stability properties of collective synchronization, which we believe improves the understanding of the underlying mechanisms of phase transitions and bifurcations in coupled dynamical networks.

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  • Received 8 December 2020
  • Accepted 22 February 2021

DOI:https://doi.org/10.1103/PhysRevE.103.032307

©2021 American Physical Society

Physics Subject Headings (PhySH)

NetworksNonlinear Dynamics

Authors & Affiliations

Can Xu*, Xuan Wang, Zhigang Zheng, and Zongkai Cai

  • Institute of Systems Science and College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China

  • *xucan@hqu.edu.cn
  • zkcai@stu.hqu.edu.cn

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Vol. 103, Iss. 3 — March 2021

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