Numerical approximation of nonlinear stochastic Volterra integral equation based on Walsh function

被引:0
|
作者
Paikaray P.P. [1 ]
Parida N.C. [1 ]
Beuria S. [1 ]
Nikan O. [2 ]
机构
[1] Department of Mathematics, College of Basic Science and Humanities, OUAT, Bhubaneswar
[2] School of Mathematics and Computer Science, Iran University of Science and Technology, Tehran
关键词
Brownian motion; Collocation method; It (Formula Presented.) integral; Lipschitz condition; Non-linear stochastic Volterra integral equation; Walsh approximation;
D O I
10.1007/s40324-023-00341-5
中图分类号
学科分类号
摘要
This paper adopts a highly effective numerical approach for approximating non-linear stochastic Volterra integral equations (NLSVIEs) based on the operational matrices of the Walsh function and the collocation method. The method transforms the integral equation into a system of algebraic equations, which allows for the derivation of an approximate solution. Error analysis is performed, confirming the effectiveness of the proposed method, which results in a linear order of convergence. Numerical examples are provided to illustrate the precision and effectiveness of the proposed method. © 2023, The Author(s), under exclusive licence to Sociedad Española de Matemática Aplicada.
引用
收藏
页码:665 / 678
页数:13
相关论文
共 50 条
  • [1] Numerical Approximation of Stochastic Volterra-Fredholm Integral Equation using Walsh Function
    Paikaray, Prit Pritam
    Beuria, Sanghamitra
    Parida, Nigam Chandra
    COMMUNICATIONS IN MATHEMATICS AND APPLICATIONS, 2023, 14 (05): : 1603 - 1613
  • [2] Numerical approximation of p-dimensional stochastic Volterra integral equation using Walsh function
    Paikaray, Prit Pritam
    Beuria, Sanghamitra
    Parida, Nigam Chandra
    JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2023, 31 (04): : 448 - 460
  • [3] Picard Approximation of a Singular Backward Stochastic Nonlinear Volterra Integral Equation
    Ahmadova, Arzu
    Mahmudov, Nazim I.
    QUALITATIVE THEORY OF DYNAMICAL SYSTEMS, 2024, 23 (04)
  • [4] Numerical solution of nonlinear stochastic It?-Volterra integral equation by stochastic modified hat function operational matrices
    Sharafi, Fatemeh
    Basirat, Behrooz
    RESULTS IN APPLIED MATHEMATICS, 2022, 14
  • [5] A combination method for numerical solution of the nonlinear stochastic Ito-Volterra integral equation
    Wen, Xiaoxia
    Huang, Jin
    APPLIED MATHEMATICS AND COMPUTATION, 2021, 407
  • [6] A Walsh function method for a non-linear Volterra integral equation
    Sloss, BG
    Blyth, WF
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2003, 340 (01): : 25 - 41
  • [7] Numerical Solutions of a Class of Nonlinear Volterra Integral Equation
    Khumalo, Melusi
    Mamba, Hlukaphi
    WORLD CONGRESS ON ENGINEERING, WCE 2015, VOL I, 2015, : 128 - 131
  • [8] Numerical solution of nonlinear stochastic Itô–Volterra integral equations based on Haar wavelets
    Jieheng Wu
    Guo Jiang
    Xiaoyan Sang
    Advances in Difference Equations, 2019
  • [9] Adapted solution of a backward stochastic nonlinear Volterra integral equation
    Lin, JZ
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2002, 20 (01) : 165 - 183
  • [10] Two reliable methods for numerical solution of nonlinear stochastic Ito-Volterra integral equation
    Singh, Priya
    Saha Ray, Santanu
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2022, 40 (05) : 891 - 913