IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v203y2023icp28-43.html
   My bibliography  Save this article

Numerical approximation of fractional variational problems with several dependent variables using Jacobi poly-fractonomials

Author

Listed:
  • Pandey, Divyansh
  • Pandey, Rajesh K.
  • Agarwal, R.P.

Abstract

We discuss a new numerical scheme using Jacobi poly-fractonomials for the fractional variational problem (FVP) with several dependent variables. The FVP is defined using the Caputo fractional derivative. Using Jacobi poly-fractonomials in the discussed method, the considered FVP is reduced to a system of algebraic equations. By solving this system of algebraic equations, an approximate solution of FVP is accomplished. We also proved the convergence of the presented scheme and the fractional variational error. At last, we perform some figurative examples to exhibit the legitimacy and pertinence of the current method.

Suggested Citation

  • Pandey, Divyansh & Pandey, Rajesh K. & Agarwal, R.P., 2023. "Numerical approximation of fractional variational problems with several dependent variables using Jacobi poly-fractonomials," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 28-43.
    • Handle: RePEc:eee:matcom:v:203:y:2023:i:c:p:28-43
    DOI: 10.1016/j.matcom.2022.06.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475422002889
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2022.06.018?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Harendra Singh & Rajesh K. Pandey & Hari Mohan Srivastava, 2019. "Solving Non-Linear Fractional Variational Problems Using Jacobi Polynomials," Mathematics, MDPI, vol. 7(3), pages 1-24, February.
    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. Hari Mohan Srivastava & Khaled M. Saad, 2020. "A Comparative Study of the Fractional-Order Clock Chemical Model," Mathematics, MDPI, vol. 8(9), pages 1-14, August.
    2. Waleed Mohamed Abd-Elhameed, 2022. "Novel Formulae of Certain Generalized Jacobi Polynomials," Mathematics, MDPI, vol. 10(22), pages 1-25, November.

    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:203:y:2023:i:c:p:28-43. 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.