Noise-induced transition from periodic to chaotic synchronization in coupled limit cycle oscillators

Abstract A solvable model of noise effects on globally coupled limit cycle oscillators is proposed. These oscillators are subject to the influence of independent and additive white Gaussian noise. The averaged motion equation of the system with infinitely coupled oscillators is derived without any approximation through an analysis based on the nonlinear Fokker-Planck equation. It is demonstrated that with an increase in the noise intensity, a transition from periodic synchronization to chaotic synchronization occurs, which is associated with the emergence of macroscopic chaotic behavior.

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Publication Details

Journal
Europhysics Letters (EPL)
Published
2025-04-29
DOI
https://doi.org/10.1209/0295-5075/add208
Citations
2
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
2.65

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article

Noise-induced transition from periodic to chaotic synchronization in coupled limit cycle oscillators

Keiji Okumura, Akihisa Ichiki
2 citations
Europhysics Letters (EPL)
stochastic dynamics and bifurcation
2.65
article

Noise-induced transition from periodic to chaotic synchronization in coupled limit cycle oscillators

Keiji Okumura, Akihisa Ichiki
article en
2 citations

Abstract

Abstract A solvable model of noise effects on globally coupled limit cycle oscillators is proposed. These oscillators are subject to the influence of independent and additive white Gaussian noise. The averaged motion equation of the system with infinitely coupled oscillators is derived without any approximation through an analysis based on the nonlinear Fokker-Planck equation. It is demonstrated that with an increase in the noise intensity, a transition from periodic synchronization to chaotic synchronization occurs, which is associated with the emergence of macroscopic chaotic behavior.

Europhysics Letters (EPL)Vol. 150(4)
Fukuoka University (JP), Fukuoka Prefecture Education Center (JP), Artificial Intelligence in Medicine (Canada) (CA)
Japan Society for the Promotion of Science
Openalex Percentile: Top 11%
stochastic dynamics and bifurcation
2.65
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