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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorBai, Gen_US
dc.creatorGui, Xen_US
dc.creatorLi, Ben_US
dc.date.accessioned2025-04-16T04:34:24Z-
dc.date.available2025-04-16T04:34:24Z-
dc.identifier.issn0029-599Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/112549-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.rightsThe following publication Bai, G., Gui, X., & Li, B. (2025). Convergence of multistep projection methods for harmonic map heat flows into general surfaces. Numerische Mathematik, 157(2), 629–661 is available at https://doi.org/10.1007/s00211-025-01464-9.en_US
dc.titleConvergence of multistep projection methods for harmonic map heat flows into general surfacesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage629en_US
dc.identifier.epage661en_US
dc.identifier.volume157en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1007/s00211-025-01464-9en_US
dcterms.abstractWe propose a high-order multistep projection method for the harmonic map heat flow from a bounded domain Ω⊂Rd into a given N-dimensional smooth surface Γ⊂RN+1. At every time level, an auxiliary numerical solution is solved by a multistep backward difference formula with a mass-lumping finite element method in space, and then projected onto the surface Γ. The projected numerical solution is used in the backward difference formula and the extrapolation of nonlinearities in the following time levels. Such projection algorithms are convenient in computation while still preserving the pointwise geometric constraint of the solution to stay on the target surface Γ. The convergence of some low-order single-step projection algorithms based on the backward Euler and Crank–Nicolson schemes have been studied in many articles for harmonic map heat flow and related models into the unit sphere, while the convergence of high-order multistep projection methods still remains open. In this article, we propose a high-order multistep projection method for harmonic map heat flows into a general smooth surface (not necessarily the unit sphere) and prove its optimal-order convergence by combining four techniques, i.e., decomposition of the Nevanlinna–Odeh multiplier technique into approximately normal and tangential components separately, an almost orthogonal relation between the error functions associated to the auxiliary and projected numerical solutions, pointwise L∞ error estimates, the use of orthogonal projection onto the target surface Γ. Numerical results are provided to support the theoretical analysis on the convergence of the high-order multistep projection methods.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationNumerische mathematik, Apr. 2025, v. 157, no. 2, p. 629-661en_US
dcterms.isPartOfNumerische mathematiken_US
dcterms.issued2025-04-
dc.identifier.scopus2-s2.0-105000338597-
dc.identifier.eissn0945-3245en_US
dc.description.validate202504 bcwcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.TASpringer Nature (2025)en_US
dc.description.oaCategoryTAen_US
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