Literature DB >> 24329218

Approximate solution to the stochastic Kuramoto model.

Bernard Sonnenschein1, Lutz Schimansky-Geier1.   

Abstract

We study Kuramoto phase oscillators with temporal fluctuations in the frequencies. The infinite-dimensional system can be reduced in a Gaussian approximation to two first-order differential equations. This yields a solution for the time-dependent order parameter, which characterizes the synchronization between the oscillators. The known critical coupling strength is exactly recovered by the Gaussian theory. Extensive numerical experiments further show that the analytical results are very accurate below and sufficiently above the critical value. We obtain the asymptotic order parameter in closed form, which suggests a tighter upper bound for the corresponding scaling. As a last point, we elaborate the Gaussian approximation in complex networks with distributed degrees.

Year:  2013        PMID: 24329218     DOI: 10.1103/PhysRevE.88.052111

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Low-dimensional behavior of Kuramoto model with inertia in complex networks.

Authors:  Peng Ji; Thomas K D M Peron; Francisco A Rodrigues; Jürgen Kurths
Journal:  Sci Rep       Date:  2014-05-02       Impact factor: 4.379

2.  Macroscopic models for networks of coupled biological oscillators.

Authors:  Kevin M Hannay; Daniel B Forger; Victoria Booth
Journal:  Sci Adv       Date:  2018-08-03       Impact factor: 14.136

  2 in total

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