Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117999
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dc.contributorDepartment of Applied Mathematics-
dc.creatorYang, Ten_US
dc.creatorZhong, Men_US
dc.date.accessioned2026-03-12T01:02:37Z-
dc.date.available2026-03-12T01:02:37Z-
dc.identifier.issn0001-8708en_US
dc.identifier.urihttp://hdl.handle.net/10397/117999-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights© 2026 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Yang, T., & Zhong, M. (2026). Diffusion limit with optimal convergence rate of classical solutions to the Vlasov-Maxwell-Boltzmann system. Advances in Mathematics, 489, 110800 is available at https://doi.org/10.1016/j.aim.2026.110800.en_US
dc.subjectConvergence rateen_US
dc.subjectDiffusion limiten_US
dc.subjectInitial layeren_US
dc.subjectSpectral analysisen_US
dc.subjectVlasov-Maxwell-Boltzmann systemen_US
dc.titleDiffusion limit with optimal convergence rate of classical solutions to the Vlasov-Maxwell-Boltzmann systemen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume489en_US
dc.identifier.doi10.1016/j.aim.2026.110800en_US
dcterms.abstractWe study the diffusion limit of the classical solution to the Vlasov-Maxwell-Boltzmann (VMB) system with initial data near a global Maxwellian. By introducing a new decomposition of the solution to identify the essential components for generating the initial layer, we prove the convergence and establish the optimal convergence rate of the classical solution to the VMB system to the solution of the Navier-Stokes-Maxwell system based on the spectral analysis.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvances in mathematics, Apr. 2026, v. 489, 110800en_US
dcterms.isPartOfAdvances in mathematicsen_US
dcterms.issued2026-04-
dc.identifier.scopus2-s2.0-105028336723-
dc.identifier.eissn1090-2082en_US
dc.identifier.artn110800en_US
dc.description.validate202603 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe first author's research was supported by a fellowship award from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project no. SRFS2021-1S01). He would also like to thank the Kuok Group foundation for the generous support. The second author's research was supported by the special foundation for Guangxi Ba Gui Scholars, and the National Natural Science Foundation of China grants No. 12171104. They also would like to thank the support by Research Centre for Nonlinear Analysis (Project No. P0046121) at The Hong Kong Polytechnic University.en_US
dc.description.pubStatusPublisheden_US
dc.description.TAElsevier (2026)en_US
dc.description.oaCategoryTAen_US
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