IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v241y2026ipap634-658.html

High-order numerical method for Caputo–Hadamard fractional reaction-diffusion equations using nonuniform temporal mesh

Author

Listed:
  • Chen, Siyuan
  • Ding, Hengfei

Abstract

This paper presents a high-order numerical scheme for solving the Caputo–Hadamard time-fractional reaction–diffusion equation. To address the inherent initial singularity of the solution, the method employs the L1 approximation formula on a specially designed nonuniform temporal mesh. This mesh is defined by the points tk=a+k(4k2−1)3β, where β=3(T−a)N(2N+1)(2N−1), whose graded structure effectively captures the singular behavior near the initial time t=a. For spatial discretization, a fourth-order compact difference formula is applied on a uniform grid to ensure high accuracy. Rigorous theoretical analysis demonstrates that the proposed scheme is unconditionally stable and achieves the optimal convergence rate of O(Nα−2+h4), where N and h represent the temporal and spatial discretization parameters, respectively. Systematic numerical experiments comprehensively validate the theoretical findings, clearly confirming the predicted convergence rates. Furthermore, experiments conducted across various fractional derivative orders and parameter configurations consistently demonstrate the effectiveness and robustness of the proposed method.

Suggested Citation

  • Chen, Siyuan & Ding, Hengfei, 2026. "High-order numerical method for Caputo–Hadamard fractional reaction-diffusion equations using nonuniform temporal mesh," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 241(PA), pages 634-658.
  • Handle: RePEc:eee:matcom:v:241:y:2026:i:pa:p:634-658
    DOI: 10.1016/j.matcom.2025.09.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475425003945
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2025.09.022?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. Cao, Dingding & Li, Changpin, 2025. "Quenching phenomenon in the Caputo–Hadamard time-fractional Kawarada problem: Analysis and computation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 233(C), pages 21-38.
    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.
    1. Chen, Jiale & Sun, Weigang & Zheng, Song, 2026. "Encrypting images using multiple fractional-order drive–response systems with practical finite-time synchronization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 240(C), pages 423-437.
    2. Wang, Shaoming & Sun, Yiqun & Qi, Jianming & Guo, Peng, 2025. "Research on nonlinear electric transmission model based on Hamiltonian structure with numerical accuracy analysis," Chaos, Solitons & Fractals, Elsevier, vol. 200(P1).
    3. Yang, Fan & Li, Si-Ying & Li, Xiao-Xiao, 2025. "Inverse random source problem for the stochastic Caputo–Hadamard time-fractional diffusion equation driven by fractional Brownian motion," Chaos, Solitons & Fractals, Elsevier, vol. 201(P2).
    4. Long, Le Dinh & Zaky, Mahmoud A. & Luc, Nguyen Hoang & Moghaddam, B. Parsa, 2026. "Multi-operator iterative regularization framework for caputo-Hadamard fractional diffusion with environmental applications," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    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:241:y:2026:i:pa:p:634-658. 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.