Content area

Abstract

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 has been 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 this proposed method.

Details

1009240
Identifier / keyword
Title
Numerical Approximation of Nonlinear Stochastic Volterra Integral Equation using Walsh Function
Publication title
arXiv.org; Ithaca
Publication year
2023
Publication date
Jul 18, 2023
Section
Computer Science; Mathematics
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2023-07-19
Milestone dates
2023-06-12 (Submission v1); 2023-07-18 (Submission v2)
Publication history
 
 
   First posting date
19 Jul 2023
ProQuest document ID
2825304998
Document URL
https://www.proquest.com/working-papers/numerical-approximation-nonlinear-stochastic/docview/2825304998/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2023-07-20
Database
ProQuest One Academic