IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v518y2026ics0096300325006307.html

An alternating direction implicit method for 2D nonlinear Schrödinger equation with accelerated evaluation of Caputo derivative

Author

Listed:
  • Dwivedi, Himanshu Kumar
  • Rajeev,
  • Zeng, Shengda

Abstract

We propose an efficient time-space discretization for nonlinear fractional Schrödinger equations involving Caputo tempered derivatives. A new tempered Alikhanov scheme with parameter λ is introduced, together with a fast sum-of-exponentials (SOE) implementation, reducing complexity to O(MKtlogKt) and memory to O(MlogKt). Spatial derivatives are approximated using a compact scheme, and an alternating direction implicit formulation is derived with perturbation terms for stability. A graded time mesh resolves the initial singularity, while adaptive time-stepping ensures long-time efficiency. Stability and maximum-norm error bounds are established via a discrete Grönwall inequality. Numerical tests confirm the theoretical convergence and demonstrate substantial savings in CPU time and storage over classical methods. This work presents a novel nonuniform tempered Alikhanov time-stepping framework for nonlinear tempered fractional Schrödinger equation(NL-TFSEs), combining robustness, high accuracy, and computational scalability.

Suggested Citation

  • Dwivedi, Himanshu Kumar & Rajeev, & Zeng, Shengda, 2026. "An alternating direction implicit method for 2D nonlinear Schrödinger equation with accelerated evaluation of Caputo derivative," Applied Mathematics and Computation, Elsevier, vol. 518(C).
  • Handle: RePEc:eee:apmaco:v:518:y:2026:i:c:s0096300325006307
    DOI: 10.1016/j.amc.2025.129905
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300325006307
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2025.129905?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.

    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:apmaco:v:518:y:2026:i:c:s0096300325006307. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.