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Fast and slow clustering dynamics of Cucker-Smale ensemble with internal oscillatory phases

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dc.contributor.authorHa, Seung-Yeal-
dc.contributor.authorKim, Jeongho-
dc.contributor.authorPark, Jinyeong-
dc.date.accessioned2023-10-04T06:36:15Z-
dc.date.available2023-10-04T06:36:15Z-
dc.date.issued2023-05-
dc.identifier.issn0218-2025-
dc.identifier.issn1793-6314-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191597-
dc.description.abstractWe study fast and slow clustering dynamics of Cucker-Smale ensemble with internal phase dynamics via the Cucker-Smale-Kuramoto (in short, CSK) model. The CSK model describes the emergent dynamics of flocking particles with phase dynamics. It consists of the Cucker-Smale flocking model and the Kuramoto model, and their interplay is registered in the communication weight function between particles. We present a sufficient framework for mono-cluster flocking and complete synchronization in terms of system parameters and initial data. In particular, the mono-cluster flocking will emerge exponentially fast (fast dynamics). On the other hand, when initial spatial-velocity configuration is close to the bi-cluster flocking, we also provide a sufficient framework leading to convergence of bi-cluster flocking algebraically slow depending on the decay rate of the communication weight (slow flocking dynamics). We also provide several numerical examples and compare them with analytical results.-
dc.format.extent45-
dc.language영어-
dc.language.isoENG-
dc.publisherWorld Scientific Publishing Co-
dc.titleFast and slow clustering dynamics of Cucker-Smale ensemble with internal oscillatory phases-
dc.typeArticle-
dc.publisher.location싱가폴-
dc.identifier.doi10.1142/S0218202523500239-
dc.identifier.scopusid2-s2.0-85149951723-
dc.identifier.wosid000957079900001-
dc.identifier.bibliographicCitationMathematical Models and Methods in Applied Sciences, v.33, no.05, pp 1053 - 1097-
dc.citation.titleMathematical Models and Methods in Applied Sciences-
dc.citation.volume33-
dc.citation.number05-
dc.citation.startPage1053-
dc.citation.endPage1097-
dc.type.docTypeArticle; Early Access-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.subject.keywordPlusMEAN-FIELD LIMIT-
dc.subject.keywordPlusUNIFORM STABILITY-
dc.subject.keywordPlusKURAMOTO MODEL-
dc.subject.keywordPlusLOCKED STATES-
dc.subject.keywordPlusSYNCHRONIZATION-
dc.subject.keywordPlusFLOCKING-
dc.subject.keywordPlusPARTICLE-
dc.subject.keywordPlusEMERGENCE-
dc.subject.keywordPlusBEHAVIOR-
dc.subject.keywordAuthorComplete synchronization-
dc.subject.keywordAuthorCucker-Smale model-
dc.subject.keywordAuthorfast-slow dynamics-
dc.subject.keywordAuthorKuramoto model-
dc.identifier.urlhttps://www.worldscientific.com/doi/10.1142/S0218202523500239-
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