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  4. Spectral deferred corrections in the framework of Runge-Kutta methods

Spectral deferred corrections in the framework of Runge-Kutta methods

Citation Link: https://doi.org/10.15480/882.17335
Publikationstyp
Preprint
Date Issued
2026-04-03
Sprache
English
Author(s)
Bronasco, Eugen
Fregin, Joscha
Mathematik E-10
Ruprecht, Daniel
Mathematik E-10
Vilmart, Gilles
TORE-DOI
10.15480/882.17335
TORE-URI
https://hdl.handle.net/11420/63571
Citation
arXiv: 2604.03013 (2026)
Publisher DOI
10.48550/arXiv.2604.03013
ArXiv ID
2604.03013
We interpret a wide range of flavors of Spectral Deferred Corrections (SDC) as Runge-Kutta methods (RKM). Using Butcher series, we show that the considered class of SDC methods achieve at least order p after p iterations compared to the underlying RKM, independently of the error discretisation chosen and the choice of nodes. For all collocation RKM, we analyse the phenomenon of order jumps in SDC iterations, where the order is increased by two at each iteration. We prove that it can be obtained by using appropriate inconsistent, implicit, parallelisable error discretisations. We also investigate the stability properties of the new SDC methods which can in general reduce to that of explicit RKM, but it can be improved by suitable combinations of error discretisations. We confirm the convergence analysis with numerical experiments and we apply relaxation RKM to derive SDC variants that conserve quadratic invariants.
Subjects
math.NA
DDC Class
510: Mathematics
Funding(s)
Leistungsverbesserung des ICON-O Ozeanmodells auf heterogenen Exascale-Supercomputern mit Methoden des Maschinellen Lernens
Lizenz
https://creativecommons.org/licenses/by/4.0/
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