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On the Cucker-Smale ensemble with the q-closest neighbors in a self-consistent temperature field

Authors
Dong, Jiu-GangHa, Seung-YealKim, Doheon
Issue Date
Jan-2020
Publisher
Society for Industrial and Applied Mathematics
Keywords
Digraph; Emergence; Energy estimate; Q-closest neighbors; Scrambling matrices; State-transition matrices; Thermomechanical Cucker-Smale particles
Citation
SIAM Journal on Control and Optimization, v.58, no.1, pp 368 - 392
Pages
25
Indexed
SCIE
SCOPUS
Journal Title
SIAM Journal on Control and Optimization
Volume
58
Number
1
Start Page
368
End Page
392
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114173
DOI
10.1137/18M1195462
ISSN
0363-0129
1095-7138
Abstract
We present emergent dynamics of the continuous and discrete Cucker-Smale (CS) type models with the q-closest neighbors in a self-consistent time-varying temperature field. Asymptotic flocking dynamics of the thermodynamic Cucker-Smale (TCS) ensemble has been extensively studied using particle, kinetic, and fluid models under several connection topologies that can be realized by the complete network, connected symmetric network, directed graph with a spanning tree, etc. In this paper, we propose sufficient frameworks for the monocluster flocking of the continuous and discrete TCS models on a digraph with a neighbor set determined by q-closest neighbors from the test particle. In our proposed frameworks, there can be a phase-transition-like phenomenon from local (multicluster) flocking to global (monocluster) flocking, depending on the size q of the neighbor set, as we increase q. When q is larger than half of the population, any initial configuration will tend to the monocluster flocking state in a positive coupling regime. In contrast, when q is smaller than half of the population, we need to impose some restrictive conditions on the initial data to guarantee the emergence of monocluster flocking. Thus, our results generalize Cucker and Dong's result [Math. Models Methods Appl. Sci., 26 (2016), pp. 2685-2708] for the CS ensemble in a homogeneous constant temperature field. We also provide several numerical examples and compare them with our analytical results. © 2020 Society for Industrial and Applied Mathematics.
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