计算机科学
统计物理学
相变
集体行为
同步(交流)
有界函数
联轴节(管道)
物理
蝴蝶效应
机器人
植绒(纹理)
人工智能
数学
电信
工程类
量子力学
机械工程
数学分析
频道(广播)
社会学
人类学
混乱的
作者
Suvam Pal,Gourab Kumar Sar,Dibakar Ghosh,A. Pal
出处
期刊:Chaos
[American Institute of Physics]
日期:2024-02-01
卷期号:34 (2)
被引量:2
摘要
Synchronization is one of the emerging collective phenomena in interacting particle systems. Its ubiquitous presence in nature, science, and technology has fascinated the scientific community over the decades. Moreover, a great deal of research has been, and is still being, devoted to understand various physical aspects of the subject. In particular, the study of interacting active particles has led to exotic phase transitions in such systems which have opened up a new research front-line. Motivated by this line of work, in this paper, we study the directional synchrony among self-propelled particles. These particles move inside a bounded region, and crucially their directions are also coupled with spatial degrees of freedom. We assume that the directional coupling between two particles is influenced by the relative spatial distance which changes over time. Furthermore, the nature of the influence is considered to be both short and long-ranged. We explore the phase transition scenario in both the cases and propose an approximation technique which enables us to analytically find the critical transition point. The results are further supported with numerical simulations. Our results have potential importance in the study of active systems like bird flocks, fish schools, and swarming robots where spatial influence plays a pertinent role.
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