IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v234y2025icp359-367.html
   My bibliography  Save this article

An asymptotic approximation of the solution for nearly tridiagonal quasi-Toeplitz linear systems

Author

Listed:
  • Kim, Philsu
  • Park, Sangbeom
  • Kim, Seonghak
  • Bak, Soyoon

Abstract

We introduce an asymptotic approximate algorithm for solving nearly tridiagonal quasi-Toeplitz linear systems. When addressing low-rank perturbations of a tridiagonal Toeplitz matrix system based on the Sherman–Morrison–Woodbury formula (or Woodbury identity), conventional methods require solving at least two simpler systems. The proposed algorithm overcomes this limitation by providing an explicit asymptotic formula for one of these systems. This asymptotic approximation enables a rapid resolution of the original system with minimal additional computation. To validate the accuracy and efficiency of the proposed algorithm, we conduct numerical experiments on two cases, comparing the results with those of existing methods. The results demonstrate that the proposed algorithm significantly reduces computation time while maintaining accuracy compared to the existing methods.

Suggested Citation

  • Kim, Philsu & Park, Sangbeom & Kim, Seonghak & Bak, Soyoon, 2025. "An asymptotic approximation of the solution for nearly tridiagonal quasi-Toeplitz linear systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 234(C), pages 359-367.
  • Handle: RePEc:eee:matcom:v:234:y:2025:i:c:p:359-367
    DOI: 10.1016/j.matcom.2025.02.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425000709
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.02.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Luati, Alessandra & Proietti, Tommaso, 2010. "On The Spectral Properties Of Matrices Associated With Trend Filters," Econometric Theory, Cambridge University Press, vol. 26(4), pages 1247-1261, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      ;
      ;
      ;
      ;

      Statistics

      Access and download statistics

      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:eee:matcom:v:234:y:2025:i:c:p:359-367. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

      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.