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Uniform-in-time error estimate of the random batch method for the Cucker–Smale model

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dc.contributor.authorHa, Seung-Yeal-
dc.contributor.authorJin, Shi-
dc.contributor.authorKim, Doheon-
dc.contributor.authorKo, Dongnam-
dc.date.accessioned2023-08-16T07:42:35Z-
dc.date.available2023-08-16T07:42:35Z-
dc.date.issued2021-06-
dc.identifier.issn0218-2025-
dc.identifier.issn1793-6314-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114127-
dc.description.abstractWe present a uniform-in-time (and in particle numbers as well) error estimate for the random batch method (RBM) [S. Jin, L. Li and J.-G. Liu, Random batch methods (RBM) for interacting particle systems, J. Comput. Phys. 400 (2020) 108877] to the Cucker-Smale (CS) model. The uniform-in-time error estimates of the RBM have been obtained for various interacting particle systems, when corresponding flow generates a contraction semigroup. In this paper, we derive a uniform-in-time error estimate for RBM-approximation to the CS model in which the corresponding flow does not generate contractive semigroup. To derive uniform error estimate, we use asymptotic flocking estimate of the RBM-approximated CS model which yields the decay of relative velocities to zero, at least in the order of exp(-Ct1-β), while velocities of the original system decay exponentially. Here, β [0, 1) is the decay rate of the communication weight with respect to the distance between particles in the CS model. We also provide several numerical simulations to confirm the analytical results. © 2021 World Scientific Publishing Company.-
dc.format.extent37-
dc.language영어-
dc.language.isoENG-
dc.publisherWorld Scientific Publishing Co-
dc.titleUniform-in-time error estimate of the random batch method for the Cucker–Smale model-
dc.typeArticle-
dc.publisher.location싱가폴-
dc.identifier.doi10.1142/S0218202521400029-
dc.identifier.scopusid2-s2.0-85105437486-
dc.identifier.wosid000674378900003-
dc.identifier.bibliographicCitationMathematical Models and Methods in Applied Sciences, v.31, no.6, pp 1099 - 1135-
dc.citation.titleMathematical Models and Methods in Applied Sciences-
dc.citation.volume31-
dc.citation.number6-
dc.citation.startPage1099-
dc.citation.endPage1135-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.subject.keywordPlusSTOCHASTIC FLOCKING-
dc.subject.keywordPlusEMERGENT BEHAVIOR-
dc.subject.keywordPlusSYNCHRONIZATION-
dc.subject.keywordPlusKURAMOTO-
dc.subject.keywordPlusDYNAMICS-
dc.subject.keywordPlusPARTICLE-
dc.subject.keywordAuthorConsensus-
dc.subject.keywordAuthorinteracting particle system-
dc.subject.keywordAuthorrandom batch-
dc.identifier.urlhttps://www.worldscientific.com/doi/abs/10.1142/S0218202521400029-
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