Long-term behaviour of symmetric partitioned linear multistep methods. I: global error and conservation of invariants

Abstract In this paper an asymptotic expansion of the global error on the stepsize for partitioned linear multistep methods is proved. This provides a tool to analyse the behaviour of these integrators with respect to error growth with time and conservation of invariants. In particular, symmetric partitioned linear multistep methods with no common roots in their first characteristic polynomials, except unity, appear as efficient methods to approximate nonseparable Hamiltonian systems since they can be explicit and show good long term behaviour at the same time. As a case study, a thorough analysis is given for small oscillations of the double pendulum problem, which is illustrated by numerical experiments.

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Publication Details

Journal
IMA Journal of Numerical Analysis
Published
2025-07-24
DOI
https://doi.org/10.1093/imanum/draf062
Primary Topic
Numerical methods for differential equations
Type
article
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article

Long-term behaviour of symmetric partitioned linear multistep methods. I: global error and conservation of invariants

A. Durán, B. Cano, Mónica Rodríguez
IMA Journal of Numerical Analysis
Numerical methods for differential equations
article

Long-term behaviour of symmetric partitioned linear multistep methods. I: global error and conservation of invariants

A. Durán, B. Cano, Mónica Rodríguez
article en

Abstract

Abstract In this paper an asymptotic expansion of the global error on the stepsize for partitioned linear multistep methods is proved. This provides a tool to analyse the behaviour of these integrators with respect to error growth with time and conservation of invariants. In particular, symmetric partitioned linear multistep methods with no common roots in their first characteristic polynomials, except unity, appear as efficient methods to approximate nonseparable Hamiltonian systems since they can be explicit and show good long term behaviour at the same time. As a case study, a thorough analysis is given for small oscillations of the double pendulum problem, which is illustrated by numerical experiments.

IMA Journal of Numerical Analysis
Universidad de Valladolid (ES)
Life in Land
Openalex Percentile: Top 73%
Numerical methods for differential equations
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