Conjugate-Symplecticity of Linear Multistep Methods

Conjugate-Symplecticity of Linear Multistep Methods

Year:    2008

Journal of Computational Mathematics, Vol. 26 (2008), Iss. 5 : pp. 657–659

Abstract

For the numerical treatment of Hamiltonian differential equations, symplectic integrators are the most suitable choice, and methods that are conjugate to a symplectic integrator share the same good long-time behavior. This note characterizes linear multistep methods whose underlying one-step method is conjugate to a symplectic integrator. The boundedness of parasitic solution components is not addressed.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2008-JCM-8649

Journal of Computational Mathematics, Vol. 26 (2008), Iss. 5 : pp. 657–659

Published online:    2008-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    3

Keywords:    Linear multistep method Underlying one-step method Conjugate-symplecticity Symmetry.