IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v203y2023icp826-845.html
   My bibliography  Save this article

An efficient numerical method based on Lucas polynomials to solve multi-dimensional stochastic Itô-Volterra integral equations

Author

Listed:
  • Singh, P.K.
  • Saha Ray, S.

Abstract

This article discusses the operational matrix method relying on Lucas polynomial to find the solution of multi-dimensional stochastic Itô-Volterra integral equation. For that purpose, the properties of Lucas polynomial and operational matrices have been investigated. Using Lucas polynomial based functions approximations and operational matrices along with collocation points, the multi-dimensional stochastic Itô-Volterra integral equation is converted into a linear or nonlinear system of algebraic equations. Convergence analysis of the presented method has been discussed. Numerical examples are examined to show their computational efficiency and accuracy.

Suggested Citation

  • Singh, P.K. & Saha Ray, S., 2023. "An efficient numerical method based on Lucas polynomials to solve multi-dimensional stochastic Itô-Volterra integral equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 826-845.
  • Handle: RePEc:eee:matcom:v:203:y:2023:i:c:p:826-845
    DOI: 10.1016/j.matcom.2022.06.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475422002993
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2022.06.029?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. Mirzaee, Farshid & Solhi, Erfan & Naserifar, Shiva, 2021. "Approximate solution of stochastic Volterra integro-differential equations by using moving least squares scheme and spectral collocation method," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    2. Muhammed Çetin & Mehmet Sezer & Coşkun Güler, 2015. "Lucas Polynomial Approach for System of High-Order Linear Differential Equations and Residual Error Estimation," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, February.
    3. Saha Ray, S. & Singh, P., 2021. "Numerical solution of stochastic Itô-Volterra integral equation by using Shifted Jacobi operational matrix method," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    4. Ting Ke & Guo Jiang & Mengting Deng, 2021. "Numerical Solution of Multidimensional Stochastic Itô-Volterra Integral Equation Based on the Least Squares Method and Block Pulse Function," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-10, February.
    5. Behera, S. & Ray, S. Saha, 2020. "An operational matrix based scheme for numerical solutions of nonlinear weakly singular partial integro-differential equations," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahmadinia, M. & Afshariarjmand, H. & Salehi, M., 2023. "Numerical solution of multi-dimensional Itô Volterra integral equations by the second kind Chebyshev wavelets and parallel computing process," Applied Mathematics and Computation, Elsevier, vol. 450(C).

    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. Ahmadinia, M. & Afshariarjmand, H. & Salehi, M., 2023. "Numerical solution of multi-dimensional Itô Volterra integral equations by the second kind Chebyshev wavelets and parallel computing process," Applied Mathematics and Computation, Elsevier, vol. 450(C).
    2. Behera, S. & Saha Ray, S., 2022. "Two-dimensional wavelets scheme for numerical solutions of linear and nonlinear Volterra integro-differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 198(C), pages 332-358.

    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:826-845. 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.