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Synchronization in oscillator networks with delayed coupling: a stability criterion.

Matthew G Earl1, Steven H Strogatz

  • 1Department of Theoretical and Applied Mechanics, 212 Kimball Hall, Cornell University, Ithaca, New York 14853-1503, USA. mge1@cornell.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 12, 2003
PubMed
Summary

We found a stability criterion for synchronized identical phase oscillators with coupling delays. This stability condition works for any network structure where each oscillator receives signals from a uniform number of other oscillators.

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Area of Science:

  • Complex Systems
  • Nonlinear Dynamics
  • Network Science

Background:

  • Networks of coupled oscillators are fundamental to many natural and engineered systems.
  • Understanding the stability of synchronized states is crucial for predicting system behavior.
  • Delayed coupling introduces significant complexity to oscillator network dynamics.

Purpose of the Study:

  • To derive a general stability criterion for the synchronous state in networks of identical phase oscillators with delayed coupling.
  • To establish a condition applicable across diverse network topologies and dimensions.

Main Methods:

  • Mathematical analysis of coupled phase oscillator dynamics.
  • Derivation of a stability criterion based on network properties and coupling delay.

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  • Application of the criterion to various network configurations.
  • Main Results:

    • A unified stability criterion for synchrony was derived.
    • The criterion is independent of network structure (regular, random, directed, undirected) and dimensionality.
    • The criterion depends on the uniform in-degree (k) of oscillators and the coupling delay.

    Conclusions:

    • A universal condition for the stability of synchronous states in delayed oscillator networks was established.
    • This finding simplifies the analysis of synchrony in complex networks with time delays.
    • The derived criterion provides a powerful tool for designing and analyzing synchronized systems.