Dynamics of pulsating swarmalators on a ring

We study a simple one-dimensional model of swarmalators, a generalization of phase oscillators that swarm around in space as well as synchronize internal oscillations in time. Previous studies of the model focused on Kuramoto-type couplings, where the phase interactions are governed by phase differences. Here we consider Winfree-type coupling, where the interactions are multiplicative, determined by the product of a phase response function Q(θ) and phase pulse function P(θ). This more general interaction (from which the Kuramoto phase differences emerge after averaging) produces rich physics: six long-term modes of organization are found, which we characterize numerically and analytically.

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Publication Details

Journal
Physical review. E
Published
2025-11-13
DOI
https://doi.org/10.1103/lr2r-ynzs
Citations
2
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
2.97
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article

Dynamics of pulsating swarmalators on a ring

Dibakar Ghosh, Kevin O’Keeffe, Gourab Kumar Sar, Samali Ghosh
2 citations
Physical review. E
Nonlinear Dynamics and Pattern Formation
2.97
article

Dynamics of pulsating swarmalators on a ring

Dibakar Ghosh, Kevin O’Keeffe, Gourab Kumar Sar, Samali Ghosh
article en
2 citations

Abstract

We study a simple one-dimensional model of swarmalators, a generalization of phase oscillators that swarm around in space as well as synchronize internal oscillations in time. Previous studies of the model focused on Kuramoto-type couplings, where the phase interactions are governed by phase differences. Here we consider Winfree-type coupling, where the interactions are multiplicative, determined by the product of a phase response function Q(θ) and phase pulse function P(θ). This more general interaction (from which the Kuramoto phase differences emerge after averaging) produces rich physics: six long-term modes of organization are found, which we characterize numerically and analytically.

Physical review. EVol. 112(5)
Starbucks (United States) (US), Indian Statistical Institute (IN)
Openalex Percentile: Top 7%
Nonlinear Dynamics and Pattern Formation
2.97
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