IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i21p2718-d665495.html
   My bibliography  Save this article

Adjustment of Force–Gradient Operator in Symplectic Methods

Author

Listed:
  • Lina Zhang

    (School of Physical Science and Technology, Guangxi University, Nanning 530004, China)

  • Xin Wu

    (School of Physical Science and Technology, Guangxi University, Nanning 530004, China
    Center of Application and Research of Computational Physics, School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, China
    Guangxi Key Laboratory for Relativistic Astrophysics, Guangxi University, Nanning 530004, China)

  • Enwei Liang

    (School of Physical Science and Technology, Guangxi University, Nanning 530004, China
    Guangxi Key Laboratory for Relativistic Astrophysics, Guangxi University, Nanning 530004, China)

Abstract

Many force–gradient explicit symplectic integration algorithms have been designed for the Hamiltonian H = T ( p ) + V ( q ) with kinetic energy T ( p ) = p 2 / 2 in the existing references. When a force–gradient operator is appropriately adjusted as a new operator, it is still suitable for a class of Hamiltonian problems H = K ( p , q ) + V ( q ) with integrable part K ( p , q ) = ∑ i = 1 n ∑ j = 1 n a i j p i p j + ∑ i = 1 n b i p i , where a i j = a i j ( q ) and b i = b i ( q ) are functions of coordinates q . The newly adjusted operator is not a force–gradient operator but is similar to the momentum-version operator associated to the potential V . The newly extended (or adjusted) algorithms are no longer solvers of the original Hamiltonian, but are solvers of slightly modified Hamiltonians. They are explicit symplectic integrators with symmetry or time reversibility. Numerical tests show that the standard symplectic integrators without the new operator are generally poorer than the corresponding extended methods with the new operator in computational accuracies and efficiencies. The optimized methods have better accuracies than the corresponding non-optimized counterparts. Among the tested symplectic methods, the two extended optimized seven-stage fourth-order methods of Omelyan, Mryglod and Folk exhibit the best numerical performance. As a result, one of the two optimized algorithms is used to study the orbital dynamical features of a modified Hénon–Heiles system and a spring pendulum. These extended integrators allow for integrations in Hamiltonian problems, such as the spiral structure in self-consistent models of rotating galaxies and the spiral arms in galaxies.

Suggested Citation

  • Lina Zhang & Xin Wu & Enwei Liang, 2021. "Adjustment of Force–Gradient Operator in Symplectic Methods," Mathematics, MDPI, vol. 9(21), pages 1-21, October.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2718-:d:665495
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/21/2718/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/21/2718/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2718-:d:665495. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.