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Volume 26, Issue 5
Conjugate-Symplecticity of Linear Multistep Methods

Ernst Hairer

J. Comp. Math., 26 (2008), pp. 657-659.

Published online: 2008-10

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  • 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.

  • Keywords

Linear multistep method, Underlying one-step method, Conjugate-symplecticity, Symmetry.

  • AMS Subject Headings

65L06, 65P10.

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{JCM-26-657, author = {Ernst Hairer}, title = {Conjugate-Symplecticity of Linear Multistep Methods}, journal = {Journal of Computational Mathematics}, year = {2008}, volume = {26}, number = {5}, pages = {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.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/8649.html} }
TY - JOUR T1 - Conjugate-Symplecticity of Linear Multistep Methods AU - Ernst Hairer JO - Journal of Computational Mathematics VL - 5 SP - 657 EP - 659 PY - 2008 DA - 2008/10 SN - 26 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8649.html KW - Linear multistep method, Underlying one-step method, Conjugate-symplecticity, Symmetry. AB -

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.

Ernst Hairer. (2008). Conjugate-Symplecticity of Linear Multistep Methods. Journal of Computational Mathematics. 26 (5). 657-659. doi:
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