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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2024 MCQ for Mathematics of Computation is 1.78.

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Super-localization of elliptic multiscale problems
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by Moritz Hauck and Daniel Peterseim;
Math. Comp. 92 (2023), 981-1003
DOI: https://doi.org/10.1090/mcom/3798
Published electronically: November 21, 2022

Previous version: Original version posted November 21, 2022
Corrected version: This version corrects a publisher error in the references

Abstract:

Numerical homogenization aims to efficiently and accurately approximate the solution space of an elliptic partial differential operator with arbitrarily rough coefficients in a $d$-dimensional domain. The application of the inverse operator to some standard finite element space defines an approximation space with uniform algebraic approximation rates with respect to the mesh size parameter $H$. This holds even for under-resolved rough coefficients. However, the true challenge of numerical homogenization is the localized computation of a localized basis for such an operator-dependent approximation space. This paper presents a novel localization technique that leads to a super-exponential decay of its basis relative to $H$. This suggests that basis functions with supports of width $\mathcal O(H|\log H|^{(d-1)/d})$ are sufficient to preserve the optimal algebraic rates of convergence in $H$ without pre-asymptotic effects. A sequence of numerical experiments illustrates the significance of the new localization technique when compared to the so far best localization to supports of width $\mathcal O(H|\log H|)$.
References
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Bibliographic Information
  • Moritz Hauck
  • Affiliation: Institute of Mathematics, University of Augsburg, Universitätsstr. 12a, 86159 Augsburg, Germany
  • MR Author ID: 1416098
  • ORCID: 0000-0003-4817-9727
  • Email: moritz.hauck@uni-a.de
  • Daniel Peterseim
  • Affiliation: Centre for Advanced Analytics and Predictive Sciences (CAAPS), University of Augsburg, Universitätsstr. 12a, 86159 Augsburg, Germany
  • MR Author ID: 848711
  • ORCID: 0000-0001-7213-556X
  • Email: daniel.peterseim@uni-a.de
  • Received by editor(s): July 28, 2021
  • Received by editor(s) in revised form: March 22, 2022
  • Published electronically: November 21, 2022
  • Additional Notes: The work of Moritz Hauck and Daniel Peterseim was part of a project that received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 865751 – RandomMultiScales).
    This work is dedicated to Professor Carsten Carstensen on the occasion of his 60th birthday
  • © Copyright 2022 American Mathematical Society
  • Journal: Math. Comp. 92 (2023), 981-1003
  • MSC (2020): Primary 65N12, 65N30
  • DOI: https://doi.org/10.1090/mcom/3798
  • MathSciNet review: 4550317