Uniform-in-time error estimate of the random batch method for the Cucker–Smale model
DC Field | Value | Language |
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dc.contributor.author | Ha, Seung-Yeal | - |
dc.contributor.author | Jin, Shi | - |
dc.contributor.author | Kim, Doheon | - |
dc.contributor.author | Ko, Dongnam | - |
dc.date.accessioned | 2023-08-16T07:42:35Z | - |
dc.date.available | 2023-08-16T07:42:35Z | - |
dc.date.issued | 2021-06 | - |
dc.identifier.issn | 0218-2025 | - |
dc.identifier.issn | 1793-6314 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114127 | - |
dc.description.abstract | We 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.extent | 37 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | World Scientific Publishing Co | - |
dc.title | Uniform-in-time error estimate of the random batch method for the Cucker–Smale model | - |
dc.type | Article | - |
dc.publisher.location | 싱가폴 | - |
dc.identifier.doi | 10.1142/S0218202521400029 | - |
dc.identifier.scopusid | 2-s2.0-85105437486 | - |
dc.identifier.wosid | 000674378900003 | - |
dc.identifier.bibliographicCitation | Mathematical Models and Methods in Applied Sciences, v.31, no.6, pp 1099 - 1135 | - |
dc.citation.title | Mathematical Models and Methods in Applied Sciences | - |
dc.citation.volume | 31 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1099 | - |
dc.citation.endPage | 1135 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.subject.keywordPlus | STOCHASTIC FLOCKING | - |
dc.subject.keywordPlus | EMERGENT BEHAVIOR | - |
dc.subject.keywordPlus | SYNCHRONIZATION | - |
dc.subject.keywordPlus | KURAMOTO | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | PARTICLE | - |
dc.subject.keywordAuthor | Consensus | - |
dc.subject.keywordAuthor | interacting particle system | - |
dc.subject.keywordAuthor | random batch | - |
dc.identifier.url | https://www.worldscientific.com/doi/abs/10.1142/S0218202521400029 | - |
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