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Analysis of finite element methods for vector Laplacians on surfaces
Jönköping University, School of Engineering, JTH, Materials and Manufacturing. Jonkoping Univ, Dept Mech Engn, SE-55111 Jonkoping, Sweden..ORCID iD: 0000-0001-7352-1550
Umea Univ, Dept Math & Math Stat, SE-90187 Umea, Sweden..
Umea Univ, Dept Math & Math Stat, SE-90187 Umea, Sweden..
2020 (English)In: IMA Journal of Numerical Analysis, ISSN 0272-4979, E-ISSN 1464-3642, Vol. 40, no 3, p. 1652-1701Article in journal (Refereed) Published
Abstract [en]

We develop a finite element method for the vector Laplacian based on the covariant derivative of tangential vector fields on surfaces embedded in R-3. Closely related operators arise in models of flow on surfaces as well as elastic membranes and shells. The method is based on standard continuous parametric Lagrange elements that describe a R-3 vector field on the surface, and the tangent condition is weakly enforced using a penalization term. We derive error estimates that take into account the approximation of both the geometry of the surface and the solution to the partial differential equation. In particular, we note that to achieve optimal order error estimates, in both energy and L-2 norms, the normal approximation used in the penalization term must be of the same order as the approximation of the solution. This can be fulfilled either by using an improved normal in the penalization term, or by increasing the order of the geometry approximation. We also present numerical results using higher-order finite elements that verify our theoretical findings.

Place, publisher, year, edition, pages
Oxford University Press, 2020. Vol. 40, no 3, p. 1652-1701
Keywords [en]
vector Laplacian on surfaces, higher-order finite element method, a priori error estimates
National Category
Mathematics
Identifiers
URN: urn:nbn:se:hj:diva-50832DOI: 10.1093/imanum/drz018ISI: 000574428700002Local ID: HOA JTH 2020OAI: oai:DiVA.org:hj-50832DiVA, id: diva2:1476602
Funder
Swedish Foundation for Strategic Research , AM13-0029Swedish Research Council, 2013-4708, 2017-03911, 2018-05262eSSENCE - An eScience CollaborationAvailable from: 2020-10-15 Created: 2020-10-15 Last updated: 2020-10-15Bibliographically approved

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Hansbo, Peter

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