Super-localized orthogonal decomposition for convection-dominated diffusion problems

  • This paper presents a novel multi-scale method for convection-dominated diffusion problems in the regime of large Péclet numbers. The method involves applying the solution operator to piecewise constant right-hand sides on an arbitrary coarse mesh, which defines a finite-dimensional coarse ansatz space with favorable approximation properties. For some relevant error measures, including the L2-norm, the Galerkin projection onto this generalized finite element space even yields ε-independent errorbounds, ε being the singular perturbation parameter. By constructing an approximate local basis, the approach becomes a novel multi-scale method in the spirit of the SuperLocalized Orthogonal Decomposition (SLOD). The error caused by basis localization can be estimated in an a posteriori way. In contrast to existing multi-scale methods, numerical experiments indicate ε-robust convergence without pre-asymptotic effects even in the under-resolved regime of large mesh Péclet numbers.

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Metadaten
Author:Francesca BonizzoniORCiDGND, Philip FreeseGND, Daniel PeterseimORCiDGND
URN:urn:nbn:de:bvb:384-opus4-960270
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/96027
ISSN:0006-3835OPAC
Parent Title (English):BIT Numerical Mathematics
Publisher:Springer
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2022/06/08
Volume:64
First Page:33
DOI:https://doi.org/10.1007/s10543-024-01035-8
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Numerische Mathematik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)