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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Synchronization and spatial patterns in forced swarmalators

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Author(s):
Lizarraga, Joao U. F. [1] ; de Aguiar, Marcus A. M. [2]
Total Authors: 2
Affiliation:
[1] Univ Ingn & Tecnol, Dept Elect & Mechatron Engn, Lima 15063 - Peru
[2] Univ Estadual Campinas, Inst Fis Gleb Wataghin, UNICAMP, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Chaos; v. 30, n. 5 MAY 2020.
Web of Science Citations: 1
Abstract

Swarmalators are particles that exhibit coordinated motion and, at the same time, synchronize their intrinsic behavior, represented by internal phases. Here, we study the effects produced by an external periodic stimulus over a system of swarmalators that move in two dimensions. The system represents, for example, a swarm of fireflies in the presence of an external light source that flashes at a fixed frequency. If the spatial movement is ignored, the dynamics of the internal variables are equivalent to those of Kuramoto oscillators. In this case, the phases tend to synchronize and lock to the external stimulus if its intensity is sufficiently large. Here, we show that in a system of swarmalators, the force also shifts the phases and angular velocities leading to synchronization with the external frequency. However, the correlation between phase and spatial location decreases with the intensity of the force, going to zero at a critical intensity that depends on the model parameters. In the regime of zero correlation, the particles form a static symmetric circular distribution, following a simple model of aggregation. Interestingly, for intermediate values of the force intensity, different patterns emerge, with the particles spiraling or splitting in two clusters centered at opposite sides of the stimulus' location. The spiral and two-cluster patterns are stable and active. The two clusters slowly rotate around the source while exchanging particles, or separate and collide repeatedly, depending on the parameters. (AU)

FAPESP's process: 19/20271-5 - Evolutionary models in population dynamics
Grantee:Marcus Aloizio Martinez de Aguiar
Support Opportunities: Regular Research Grants