IDEAS home Printed from https://ideas.repec.org/a/wly/jnlamp/v2025y2025i1n5535014.html

Elzaki Transform Approach to Fractional Kinetic Equations Using Orthogonal Polynomials and Their Generating Functions

Author

Listed:
  • Mulualem Aychluh
  • D. L. Suthar
  • S. D. Purohit
  • Biniyam Shimelis

Abstract

Various significant problems in physics and astrophysics have been successfully solved using fractional kinetic equations (FKEs) and special functions. This study applies the Elzaki integral transform to FKEs incorporating orthogonal polynomials and their generating functions. The solutions are expressed in terms of the two‐parameter Mittag–Leffler functions and plotted with the use of MATLAB R2016a. The novelty lies in new forms of FKEs and specific application of the Elzaki transform, offering new insights and computational efficiency. MSC2020 Classification: 26A33, 44A20, 74A25, 33C45, 05A15

Suggested Citation

  • Mulualem Aychluh & D. L. Suthar & S. D. Purohit & Biniyam Shimelis, 2025. "Elzaki Transform Approach to Fractional Kinetic Equations Using Orthogonal Polynomials and Their Generating Functions," Advances in Mathematical Physics, John Wiley & Sons, vol. 2025(1).
  • Handle: RePEc:wly:jnlamp:v:2025:y:2025:i:1:n:5535014
    DOI: 10.1155/admp/5535014
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/admp/5535014
    Download Restriction: no

    File URL: https://libkey.io/10.1155/admp/5535014?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
    ---><---

    References listed on IDEAS

    as
    1. Hari Mohan Srivastava, 2022. "Some Families of Generating Functions Associated with Orthogonal Polynomials and Other Higher Transcendental Functions," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    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, 2022. "Higher Transcendental Functions and Their Multi-Disciplinary Applications," Mathematics, MDPI, vol. 10(24), pages 1-3, December.
    2. Anton E. Kulagin & Alexander V. Shapovalov, 2023. "Analytical Description of the Diffusion in a Cellular Automaton with the Margolus Neighbourhood in Terms of the Two-Dimensional Markov Chain," Mathematics, MDPI, vol. 11(3), pages 1-18, January.

    More about this item

    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:wly:jnlamp:v:2025:y:2025:i:1:n:5535014. 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: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/3197 .

    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.