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Numerical Solution of Finite Kuramoto Model with Time-Dependent Coupling Strength: Addressing Synchronization Events of Nature

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  • Dharma Raj Khatiwada

    (School of STEM, College of Agriculture, Community and Sciences, Kentucky State University, 400 E Main St., Frankfort, KY 40601, USA)

Abstract

The synchronization of an ensemble of oscillators is a phenomenon present in systems of different fields, ranging from social to physical and biological systems. This phenomenon is often described mathematically by the Kuramoto model, which assumes oscillators of fixed natural frequencies connected by an equal and uniform coupling strength, with an analytical solution possible only for an infinite number of oscillators. However, most real-life synchronization systems consist of a finite number of oscillators and are often perturbed by external fields. This paper accommodates the perturbation using a time-dependent coupling strength K ( t ) in the form of a sinusoidal function and a step function using 32 oscillators that serve as a representative of finite oscillators. The temporal evolution of order parameter r ( t ) and phases θ j ( t ) , key indicators of synchronization, are compared between the uniform and time-dependent cases. The identical trends observed in the two cases give an important indication that the synchrony persists even under the influence of external factors, something very plausible in the context of real-life synchronization events. The occasional boosting of coupling strength is also enough to keep the assembly of oscillators in a synchronized state persistently.

Suggested Citation

  • Dharma Raj Khatiwada, 2022. "Numerical Solution of Finite Kuramoto Model with Time-Dependent Coupling Strength: Addressing Synchronization Events of Nature," Mathematics, MDPI, vol. 10(19), pages 1-10, October.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3633-:d:933530
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    References listed on IDEAS

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    1. Moreira, Carolina A. & de Aguiar, Marcus A.M., 2019. "Global synchronization of partially forced Kuramoto oscillators on networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 487-496.
    2. Wright, E.A.P. & Yoon, S. & Mendes, J.F.F. & Goltsev, A.V., 2021. "Topological phase transition in the periodically forced Kuramoto model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
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    Cited by:

    1. Vladimir V. Klinshov & Alexander A. Zlobin, 2023. "Kuramoto Model with Delay: The Role of the Frequency Distribution," Mathematics, MDPI, vol. 11(10), pages 1-11, May.

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