IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i23p3786-d1533473.html
   My bibliography  Save this article

Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation

Author

Listed:
  • Zhengang Zhao

    (Department of Fundamental Courses, Shanghai Customs University, Shanghai 201204, China
    These authors contributed equally to this work.)

  • Yunying Zheng

    (School of Mathematics and Statistics, Huaibei Normal University, Huaibei 235026, China
    These authors contributed equally to this work.)

Abstract

In this paper, we study the Caputo–Hadamard time-space fractional diffusion equation, where the Caputo derivative is defined in the temporal direction and the Hadamard derivative is defined in the spatial direction separately. We first use the Laplace transform and the modified Fourier transform to study the analytical solution of the Cauchy problem. Then, using the Galerkin finite element method in space, we generate a semi-discrete scheme and study the convergence analysis. Furthermore, using the L1 scheme of the Caputo derivative in time, we construct a fully discrete scheme and then discuss the stability and error estimation in detail. Finally, the numerical experiments are displaced to verify the theoretical results.

Suggested Citation

  • Zhengang Zhao & Yunying Zheng, 2024. "Galerkin Finite Element Method for Caputo–Hadamard Time-Space Fractional Diffusion Equation," Mathematics, MDPI, vol. 12(23), pages 1-14, November.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:23:p:3786-:d:1533473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/23/3786/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/12/23/3786/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sahoo, Sanjay Ku & Gupta, Vikas & Dubey, Shruti, 2024. "A robust higher-order finite difference technique for a time-fractional singularly perturbed problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 215(C), pages 43-68.
    2. Garra, Roberto & Mainardi, Francesco & Spada, Giorgio, 2017. "A generalization of the Lomnitz logarithmic creep law via Hadamard fractional calculus," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 333-338.
    3. Zhao, Zhengang & Zheng, Yunying, 2023. "A Galerkin finite element method for the space Hadamard fractional partial differential equation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 214(C), pages 272-289.
    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. Charles Wing Ho Green & Yanzhi Liu & Yubin Yan, 2021. "Numerical Methods for Caputo–Hadamard Fractional Differential Equations with Graded and Non-Uniform Meshes," Mathematics, MDPI, vol. 9(21), pages 1-25, October.
    2. Li, Jing & Ma, Li, 2023. "A unified Maxwell model with time-varying viscosity via ψ-Caputo fractional derivative coined," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Heydari, M.H. & Hosseininia, M. & Razzaghi, M., 2024. "Logarithmic Chelyshkov functions for one- and two-dimensional nonlinear Caputo–Hadamard fractional Rosenau equation," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    4. Eduardo Reyes de Luna & Andriy Kryvko & Juan B. Pascual-Francisco & Ignacio Hernández & Didier Samayoa, 2024. "Generalized Kelvin–Voigt Creep Model in Fractal Space–Time," Mathematics, MDPI, vol. 12(19), pages 1-13, October.
    5. Ivano Colombaro & Andrea Giusti & Silvia Vitali, 2018. "Storage and Dissipation of Energy in Prabhakar Viscoelasticity," Mathematics, MDPI, vol. 6(2), pages 1-9, January.
    6. Garra, R. & Consiglio, A. & Mainardi, F., 2022. "A note on a modified fractional Maxwell model," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    7. Zhao, Zhengang & Zheng, Yunying, 2023. "A Galerkin finite element method for the space Hadamard fractional partial differential equation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 214(C), pages 272-289.

    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:12:y:2024:i:23:p:3786-:d:1533473. 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: 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.