IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v196y2022icp137-150.html
   My bibliography  Save this article

Error estimates of piecewise Hermite collocation method for highly oscillatory Volterra integral equation with Bessel kernel

Author

Listed:
  • Zhao, Longbin
  • Wang, Pengde

Abstract

This work concerns the convergence of the piecewise Hermite collocation method for highly oscillatory integral equations. The collocation method is constructed by calculating highly oscillatory integrals efficiently. To study the convergence with respect to frequency, some estimates about the highly oscillatory integrals are studied. Then, we obtain the asymptotic order of the method in a different way and get a sharper result compared with the existing study. Besides, we also analyze the convergence with respect to step length in detail. The last part provides some examples to confirm the theoretical estimate.

Suggested Citation

  • Zhao, Longbin & Wang, Pengde, 2022. "Error estimates of piecewise Hermite collocation method for highly oscillatory Volterra integral equation with Bessel kernel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 196(C), pages 137-150.
  • Handle: RePEc:eee:matcom:v:196:y:2022:i:c:p:137-150
    DOI: 10.1016/j.matcom.2022.01.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475422000271
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2022.01.015?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. Zhao, Longbin & Huang, Chengming, 2020. "Exponential fitting collocation methods for a class of Volterra integral equations," Applied Mathematics and Computation, Elsevier, vol. 376(C).
    2. Kumar, Sachin & Nieto, Juan J. & Ahmad, Bashir, 2022. "Chebyshev spectral method for solving fuzzy fractional Fredholm–Volterra integro-differential equation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 192(C), pages 501-513.
    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. Heydari, M.H. & Razzaghi, M., 2023. "Piecewise fractional Chebyshev cardinal functions: Application for time fractional Ginzburg–Landau equation with a non-smooth solution," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).

    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:196:y:2022:i:c:p:137-150. 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.