EconPapers    
Economics at your fingertips  
 

A Fitted Operator Finite Difference Approximation for Singularly Perturbed Volterra–Fredholm Integro-Differential Equations

Musa Cakir () and Baransel Gunes
Additional contact information
Musa Cakir: Department of Mathematics, Faculty of Science, Van Yuzuncu Yil University, Van 65080, Turkey
Baransel Gunes: Department of Mathematics, Faculty of Science, Van Yuzuncu Yil University, Van 65080, Turkey

Mathematics, 2022, vol. 10, issue 19, 1-19

Abstract: This paper presents a ε -uniform and reliable numerical scheme to solve second-order singularly perturbed Volterra–Fredholm integro-differential equations. Some properties of the analytical solution are given, and the finite difference scheme is established on a non-uniform mesh by using interpolating quadrature rules and the linear basis functions. An error analysis is successfully carried out on the Boglaev–Bakhvalov-type mesh. Some numerical experiments are included to authenticate the theoretical findings. In this regard, the main advantage of the suggested method is to yield stable results on layer-adapted meshes.

Keywords: error analysis; finite difference method; Fredholm integro-differential equation; singular perturbation; Volterra integro-differential equation; uniform convergence (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/19/3560/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/19/3560/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:19:p:3560-:d:929390

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3560-:d:929390