Analysis of parallel Schwarz algorithms for time-harmonic problems using block Toeplitz matrices
Bootland, Niall and Dolean, Victorita and Kyriakis, Alexandros and Pestana, Jennifer (2021) Analysis of parallel Schwarz algorithms for time-harmonic problems using block Toeplitz matrices. ETNA - Electronic Transactions on Numerical Analysis, 55. pp. 112-141. ISSN 1068-9613 (https://doi.org/10.1553/etna_vol55s112)
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Abstract
In this work we study the convergence properties of the one-level parallel Schwarz method with Robin transmission conditions applied to the one-dimensional and two-dimensional Helmholtz and Maxwell's equations. One-level methods are not scalable in general. However, it has recently been proven that when impedance transmission conditions are used in the case of the algorithm being applied to the equations with absorption, then, under certain assumptions, scalability can be achieved and no coarse space is required. We show here that this result is also true for the iterative version of the method at the continuous level for strip-wise decompositions into subdomains that are typically encountered when solving wave-guide problems. The convergence proof relies on the particular block Toeplitz structure of the global iteration matrix. Although non-Hermitian, we prove that its limiting spectrum has a near identical form to that of a Hermitian matrix of the same structure. We illustrate our results with numerical experiments.
ORCID iDs
Bootland, Niall ORCID: https://orcid.org/0000-0002-3207-5395, Dolean, Victorita ORCID: https://orcid.org/0000-0002-5885-1903, Kyriakis, Alexandros and Pestana, Jennifer ORCID: https://orcid.org/0000-0003-1527-3178;-
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Item type: Article ID code: 78285 Dates: DateEvent10 November 2021Published22 August 2021Accepted15 June 2020SubmittedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics
Strategic Research Themes > Health and Wellbeing
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 27 Oct 2021 16:01 Last modified: 11 Nov 2024 12:46 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/78285