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A Framework for Approximation of the Stokes Equations in an Axisymmetric Domain
University West, Department of Engineering Science, Division of Mathematics, Computer and Surveying Engineering. Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, SE–412 96 Gothenburg , Sweden.ORCID iD: 0000-0001-7510-9906
2021 (English)In: Computational Methods in Applied Mathematics, ISSN 1609-4840, E-ISSN 1609-9389, Vol. 21, no 4, p. 791-810Article in journal (Refereed) Published
Abstract [en]

We develop a framework for solving the stationary, incompressible Stokes equations in an axisymmetric domain. By means of Fourier expansion with respect to the angular variable, the three-dimensional Stokes problem is reduced to an equivalent, countable family of decoupled two-dimensional problems. By using decomposition of three-dimensional Sobolev norms, we derive natural variational spaces for the two-dimensional problems, and show that the variational formulations are well-posed. We analyze the error due to Fourier truncation and conclude that, for data that are sufficiently regular, it suffices to solve a small number of two-dimensional problems.

Place, publisher, year, edition, pages
Walter de Gruyter, 2021. Vol. 21, no 4, p. 791-810
Keywords [en]
Applied Mathematics, Computational Mathematics, Numerical Analysis
National Category
Mathematical Analysis
Identifiers
URN: urn:nbn:se:hv:diva-17665DOI: 10.1515/cmam-2020-0129ISI: 000733331000003Scopus ID: 2-s2.0-85102192506OAI: oai:DiVA.org:hv-17665DiVA, id: diva2:1607463
Available from: 2021-11-01 Created: 2021-11-01 Last updated: 2022-01-17Bibliographically approved

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Ericsson, Niklas

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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