Interplay of sync and swarm: Theory and application of swarmalators
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866912824477876224 |
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| author | Sar, Gourab Kumar O'Keeffe, Kevin Lizarraga, Joao U. F. de Aguiar, Marcus A. M. Bettstetter, Christian Ghosh, Dibakar |
| author_facet | Sar, Gourab Kumar O'Keeffe, Kevin Lizarraga, Joao U. F. de Aguiar, Marcus A. M. Bettstetter, Christian Ghosh, Dibakar |
| contents | Swarmalators, entities that combine the properties of swarming particles with synchronized oscillations, represent a novel and growing area of research in the study of collective behavior. This review provides a comprehensive overview of the current state of swarmalator research, focusing on the interplay between spatial organization and temporal synchronization. After a brief introduction to synchronization and swarming as separate phenomena, we discuss the various mathematical models that have been developed to describe swarmalator systems, highlighting the key parameters that govern their dynamics. The review also discusses the emergence of complex patterns, such as clustering, phase waves, and synchronized states, and how these patterns are influenced by factors such as interaction range, coupling strength, and frequency distribution. Recently, some minimal models were proposed that are solvable and mimic real-world phenomena. The effect of predators in the swarmalator dynamics is also discussed. Finally, we explore potential applications in fields ranging from robotics to biological systems, where understanding the dual nature of swarming and synchronization could lead to innovative solutions. By synthesizing recent advances and identifying open challenges, this review aims to provide a foundation for future research in this interdisciplinary field. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_09819 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interplay of sync and swarm: Theory and application of swarmalators Sar, Gourab Kumar O'Keeffe, Kevin Lizarraga, Joao U. F. de Aguiar, Marcus A. M. Bettstetter, Christian Ghosh, Dibakar Adaptation and Self-Organizing Systems Swarmalators, entities that combine the properties of swarming particles with synchronized oscillations, represent a novel and growing area of research in the study of collective behavior. This review provides a comprehensive overview of the current state of swarmalator research, focusing on the interplay between spatial organization and temporal synchronization. After a brief introduction to synchronization and swarming as separate phenomena, we discuss the various mathematical models that have been developed to describe swarmalator systems, highlighting the key parameters that govern their dynamics. The review also discusses the emergence of complex patterns, such as clustering, phase waves, and synchronized states, and how these patterns are influenced by factors such as interaction range, coupling strength, and frequency distribution. Recently, some minimal models were proposed that are solvable and mimic real-world phenomena. The effect of predators in the swarmalator dynamics is also discussed. Finally, we explore potential applications in fields ranging from robotics to biological systems, where understanding the dual nature of swarming and synchronization could lead to innovative solutions. By synthesizing recent advances and identifying open challenges, this review aims to provide a foundation for future research in this interdisciplinary field. |
| title | Interplay of sync and swarm: Theory and application of swarmalators |
| topic | Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2510.09819 |