A solvable two-dimensional swarmalator model

Swarmalators are oscillators that swarm through space as they synchronize in time. Introduced a few years ago to model many systems that mix synchrony with self-assembly, they remain poorly understood theoretically. Here, we obtain the first analytic results on swarmalators moving in two spatial dimensions by introducing a simplified model where the swarmalators have no hard-shell interaction terms and move on a periodic plane. These simplifications allow expressions for order parameters, stabilities and bifurcations to be derived exactly.

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Publication Details

Journal
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2024-11-01
DOI
https://doi.org/10.1098/rspa.2024.0448
Citations
12
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
4.19

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article

A solvable two-dimensional swarmalator model

Dibakar Ghosh, Marcus A. M. de Aguiar, Joao U. F. Lizárraga, Kevin O’Keeffe et al.
12 citations
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Nonlinear Dynamics and Pattern Formation
4.19
article

A solvable two-dimensional swarmalator model

Dibakar Ghosh, Marcus A. M. de Aguiar, Joao U. F. Lizárraga, Kevin O’Keeffe, Gourab Kumar Sar, Md Sayeed Anwar
article en
12 citations

Abstract

Swarmalators are oscillators that swarm through space as they synchronize in time. Introduced a few years ago to model many systems that mix synchrony with self-assembly, they remain poorly understood theoretically. Here, we obtain the first analytic results on swarmalators moving in two spatial dimensions by introducing a simplified model where the swarmalators have no hard-shell interaction terms and move on a periodic plane. These simplifications allow expressions for order parameters, stabilities and bifurcations to be derived exactly.

Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesVol. 480(2301)
Universidade Estadual de Campinas (UNICAMP) (BR), Seattle University (US), Indian Statistical Institute (IN)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 5%
Nonlinear Dynamics and Pattern Formation
4.19
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