Directional synchrony among self-propelled particles under spatial influence

被引:2
|
作者
Pal, Suvam [1 ]
Sar, Gourab Kumar [1 ]
Ghosh, Dibakar [1 ]
Pal, Arnab [2 ,3 ]
机构
[1] Indian Stat Inst, Phys & Appl Math Unit, 203B T Rd, Kolkata 700108, India
[2] Inst Math Sci, CIT Campus, Chennai 600113, India
[3] Homi Bhabha Natl Inst, Training Sch Complex, Mumbai 400094, India
关键词
PHASE-TRANSITIONS; SCHOOLS; FISH; DYNAMICS; FLOCKS; SYSTEM; MODEL;
D O I
10.1063/5.0188406
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Soft deformable self-propelled particles
    Menzel, A. M.
    Ohta, T.
    EPL, 2012, 99 (05)
  • [22] Spatial heterogeneity can facilitate the target search of self-propelled particles
    Wang, Jiajun
    Zhang, Donghua
    Xia, Baicheng
    Yu, Wancheng
    SOFT MATTER, 2017, 13 (04) : 758 - 764
  • [23] Recent advances in self-propelled particles
    Qi Pan
    Yan He
    Science China(Chemistry), 2017, (10) : 1293 - 1304
  • [24] Inertial delay of self-propelled particles
    Christian Scholz
    Soudeh Jahanshahi
    Anton Ldov
    Hartmut Löwen
    Nature Communications, 9
  • [25] Motional consensus of self-propelled particles
    Jia-xin Qian
    Jun Wang
    Yan-qing Lu
    Scientific Reports, 13
  • [26] SELF-PROPELLED PARTICLES TRIGGER CLOTTING
    不详
    CHEMICAL & ENGINEERING NEWS, 2015, 93 (39) : 27 - 27
  • [27] Inertial delay of self-propelled particles
    Scholz, Christian
    Jahanshahi, Soudeh
    Ldov, Anton
    Loewen, Hartmut
    NATURE COMMUNICATIONS, 2018, 9
  • [28] Recent advances in self-propelled particles
    Qi Pan
    Yan He
    Science China Chemistry, 2017, 60 : 1293 - 1304
  • [29] Motional consensus of self-propelled particles
    Qian, Jia-xin
    Wang, Jun
    Lu, Yan-qing
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [30] Statistical physics of self-propelled particles
    M. J. B. Hauser
    L. Schimansky-Geier
    The European Physical Journal Special Topics, 2015, 224 : 1147 - 1150