The Spectrum of the Partially Locked State for the Kuramoto Model (original) (raw)
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An Erratum to this article was published on 24 January 2008
Abstract
We solve a long-standing stability problem for the Kuramoto model of coupled oscillators. This system has attracted mathematical attention, in part because of its applications in fields ranging from neuroscience to condensed-matter physics, and also because it provides a beautiful connection between nonlinear dynamics and statistical mechanics. The model consists of a large population of phase oscillators with all-to-all sinusoidal coupling. The oscillators' intrinsic frequencies are randomly distributed across the population according to a prescribed probability density, here taken to be unimodal and symmetric about its mean. As the coupling between the oscillators is increased, the system spontaneously synchronizes: The oscillators near the center of the frequency distribution lock their phases together and run at the same frequency, while those in the tails remain unlocked and drift at different frequencies. Although this "partially locked" state has been observed in simulations for decades, its stability has never been analyzed mathematically. Part of the difficulty is in formulating a reasonable infinite-N limit of the model. Here we describe such a continuum limit, and prove that the corresponding partially locked state is, in fact, neutrally stable, contrary to what one might have expected. The possible implications of this result are discussed.
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Authors and Affiliations
- Mathematics Department, Boston College, Chestnut Hill, MA 02467, USA
R. Mirollo - Center for Applied Mathematics and Department of Theoretical and Applied Mechanics, 212 Kimball Hall, Cornell University, Ithaca, NY 14853-1503, USA
S.H. Strogatz
Authors
- R. Mirollo
- S.H. Strogatz
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Correspondence toS.H. Strogatz.
Additional information
An erratum to this article is available at http://dx.doi.org/10.1007/s00332-008-9017-y.
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Mirollo, R., Strogatz, S. The Spectrum of the Partially Locked State for the Kuramoto Model.J Nonlinear Sci 17, 309–347 (2007). https://doi.org/10.1007/s00332-006-0806-x
- Published: 11 June 2007
- Issue date: August 2007
- DOI: https://doi.org/10.1007/s00332-006-0806-x