Backward error analysis for conjugate symplectic methods

dc.citation.issue1
dc.citation.volume15
dc.contributor.authorMcLachlan RI
dc.contributor.authorOffen C
dc.date.accessioned2024-10-15T21:52:54Z
dc.date.available2024-10-15T21:52:54Z
dc.date.issued2023-12-08
dc.description.abstractThe numerical solution of an ordinary differential equation can be interpreted as the exact solution of a nearby modified equation. Investigating the behaviour of numerical solutions by analysing the modified equation is known as backward error analysis. If the original and modified equation share structural properties, then the exact and approximate solution share geometric features such as the existence of conserved quantities. Conjugate symplectic methods preserve a modified symplectic form and a modified Hamiltonian when applied to a Hamiltonian system. We show how a blended version of variational and symplectic techniques can be used to compute modified symplectic and Hamiltonian structures. In contrast to other approaches, our backward error analysis method does not rely on an ansatz but computes the structures systematically, provided that a variational formulation of the method is known. The technique is illustrated on the example of symmetric linear multistep methods with matrix coefficients.
dc.description.confidentialfalse
dc.edition.edition2023
dc.format.pagination98-115
dc.identifier.citationMcLachlan RI, Offen C. (2023). Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics. 15. 1. (pp. 98-115).
dc.identifier.doi10.3934/JGM.2023005
dc.identifier.eissn1941-4897
dc.identifier.elements-typejournal-article
dc.identifier.issn1941-4889
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71729
dc.languageEnglish
dc.publisherAmerican Institute of Mathematical Sciences (AIMS)
dc.publisher.urihttps://www.aimspress.com/article/doi/10.3934/jgm.2023005
dc.relation.isPartOfJournal of Geometric Mechanics
dc.rights(c) 2023 The Author/s
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectvariational integrators
dc.subjectbackward error analysis
dc.subjectEuler–Lagrange equations
dc.subjectmultistep methods
dc.subjectconjugate symplectic methods
dc.titleBackward error analysis for conjugate symplectic methods
dc.typeJournal article
pubs.elements-id460691
pubs.organisational-groupOther
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