Emergence of mono-cluster flocking in the thermomechanical Cucker–Smale model under switching topologies

IF 2 2区 数学 Q1 MATHEMATICS Analysis and Applications Pub Date : 2020-05-27 DOI:10.1142/s0219530520500025
Jiu‐Gang Dong, Seung‐Yeal Ha, Doheon Kim
{"title":"Emergence of mono-cluster flocking in the thermomechanical Cucker–Smale model under switching topologies","authors":"Jiu‐Gang Dong, Seung‐Yeal Ha, Doheon Kim","doi":"10.1142/s0219530520500025","DOIUrl":null,"url":null,"abstract":"We study the emergent dynamics of the thermomechanical Cucker–Smale (TCS) model with switching network topologies. The TCS model is a generalized CS model with extra internal dynamical variable called “temperature” in which isothermal case exactly coincides with the CS model for flocking. In previous studies, emergent dynamics of the TCS model has been mostly restricted to some static network topologies such as complete graph, connected graph with positive in and out degrees at each node, and digraphs with spanning trees. In this paper, we consider switching network topologies with a spanning tree in a sequence of time-blocks, and present two sufficient frameworks leading to the asymptotic mono-cluster flocking in terms of initial data and system parameters. In the first framework in which the sizes of time-blocks are uniformly bounded by some positive constant, we show that temperature and velocity diameters tend to zero exponentially fast, and spatial diameter is uniformly bounded. In the second framework, we admit a situation in which the sizes of time-blocks may grow mildly by a logarithmic function. In latter framework, our temperature and velocity diameters tend to zero at least algebraically slow.","PeriodicalId":55519,"journal":{"name":"Analysis and Applications","volume":"1 1","pages":"1-38"},"PeriodicalIF":2.0000,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/s0219530520500025","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1142/s0219530520500025","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 3

Abstract

We study the emergent dynamics of the thermomechanical Cucker–Smale (TCS) model with switching network topologies. The TCS model is a generalized CS model with extra internal dynamical variable called “temperature” in which isothermal case exactly coincides with the CS model for flocking. In previous studies, emergent dynamics of the TCS model has been mostly restricted to some static network topologies such as complete graph, connected graph with positive in and out degrees at each node, and digraphs with spanning trees. In this paper, we consider switching network topologies with a spanning tree in a sequence of time-blocks, and present two sufficient frameworks leading to the asymptotic mono-cluster flocking in terms of initial data and system parameters. In the first framework in which the sizes of time-blocks are uniformly bounded by some positive constant, we show that temperature and velocity diameters tend to zero exponentially fast, and spatial diameter is uniformly bounded. In the second framework, we admit a situation in which the sizes of time-blocks may grow mildly by a logarithmic function. In latter framework, our temperature and velocity diameters tend to zero at least algebraically slow.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
开关拓扑下热机械Cucker–Smale模型中单团簇簇的出现
我们研究了具有开关网络拓扑的热机械Cucker–Smale(TCS)模型的涌现动力学。TCS模型是一个具有称为“温度”的额外内部动力变量的广义CS模型,其中等温情况与植绒的CS模型完全一致。在以往的研究中,TCS模型的涌现动力学大多局限于一些静态网络拓扑,如完全图、每个节点具有正进出度的连通图和具有生成树的有向图。在本文中,我们考虑了时间块序列中具有生成树的交换网络拓扑,并根据初始数据和系统参数给出了导致渐近单集群集群的两个充分框架。在第一个框架中,时间块的大小由某个正常数一致定界,我们证明了温度和速度直径趋于指数快速为零,并且空间直径是一致定界的。在第二个框架中,我们承认一种情况,即时间块的大小可以通过对数函数温和增长。在后一种框架中,我们的温度和速度直径趋向于零,至少在代数上是缓慢的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.90
自引率
4.50%
发文量
29
审稿时长
>12 weeks
期刊介绍: Analysis and Applications publishes high quality mathematical papers that treat those parts of analysis which have direct or potential applications to the physical and biological sciences and engineering. Some of the topics from analysis include approximation theory, asymptotic analysis, calculus of variations, integral equations, integral transforms, ordinary and partial differential equations, delay differential equations, and perturbation methods. The primary aim of the journal is to encourage the development of new techniques and results in applied analysis.
期刊最新文献
On the strong solution for a diffuse interface model of non-Newtonian two-phase flows Distributed SGD in Overparameterized Linear Regression Interpolatory Taylor and Lidstone series Author index Volume 21 (2023) Convergence Analysis of Deep Residual Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1