Citation: Saou, A.; Sbibih, D.;
Tahrichi, M.; Barrera, D.
Superconvergent Nyström and
Degenerate Kernel Methods for
Integro-Differential Equations.
Mathematics 2022, 10, 893. https://
doi.org/10.3390/math10060893
Academic Editor: Miroslaw
Lachowicz
Received: 30 January 2022
Accepted: 21 February 2022
Published: 11 March 2022
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mathematics
Article
Superconvergent Nyström and Degenerate Kernel Methods for
Integro-Differential Equations
Abdelmonaim Saou
1
, Driss Sbibih
2
, Mohamed Tahrichi
1,
* and Domingo Barrera
3
1
Team ANAA, ANO Laboratory, Faculty of Sciences, University Mohammed First, Oujda 60000, Morocco;
saou.abdelmonaim@gmail.com
2
Team ANTO, ANO Laboratory, Faculty of Sciences, University Mohammed First, Oujda 60000, Morocco;
sbibih@yahoo.fr
3
Department of Applied Mathematics, University of Granada, Campus de Fuentenueva s/n,
18071 Granada, Spain; dbarrera@ugr.es
* Correspondence: m.tahrichi@ump.ac.ma
Abstract: The aim of this paper is to carry out an improved analysis of the convergence of the
Nyström and degenerate kernel methods and their superconvergent versions for the numerical
solution of a class of linear Fredholm integro-differential equations of the second kind. By using
an interpolatory projection at Gauss points onto the space of (discontinuous) piecewise polynomial
functions of degree r − 1, we obtain convergence order 2r for degenerate kernel and Nyström
methods, while, for the superconvergent and the iterated versions of theses methods, the obtained
convergence orders are 3r + 1 and 4r, respectively. Moreover, we show that the optimal convergence
order 4r is restored at the partition knots for the approximate solutions. The obtained theoretical
results are illustrated by some numerical examples.
Keywords: degenerate kernel method; Nyström method; Fredholm integro-differential equation
1. Introduction
Integro-differential equations emerged at the beginning of the twentieth century
thanks to the work of Vito Volterra. The applications of these equations have proved
worthy and effective in the fields of engineering, mechanics, physics, chemistry, astronomy,
biology, economics, potential theory, electrostatics, etc. (see [1–4] and references therein).
Many numerical methods have been developed for solving integro-differential equa-
tions. Each of these methods has its inherent advantages and disadvantages, and the search
for easier and more accurate methods is a continuous and ongoing process. Among the
existing methods in the literature, we cite the Adomian decomposition [5], homotopy anal-
ysis [2], Chebyshev and Taylor collocation [6], Taylor series expansion [7,8], integral mean
value [9], and decomposition method [10]. For other methods to solve integro-differential
equations, see [11–14].
Recently, many authors have used spline functions for the numerical solution of
integro-differential equations; in particular, a semi-orthogonal spline wavelets approxima-
tion method for Fredholm integro-differential equations was proposed in [15]. In [16], the
authors used a fast multiscale Galerkin method for solving second order linear Fredholm
integro-differential equation with Dirichlet boundary conditions. In [17], the authors ap-
plied B-spline collocation method for solving numerically linear and nonlinear Fredholm
and Volterra integro-differential equations, and in [18] an exponential spline method for
approximating the solution of Fredholm integro-differential equation was studied. More
recently, in [19] Kulkarni introduced an efficient method called modified projection method
or multi-projection method to solve Fredholm integral equations of the second kind. In-
spired in Kulkarni’s method, authors in [20] have introduced superconvergent Nyström
and degenerate kernel methods to solve the same type of equations.
Mathematics 2022, 10, 893. https://doi.org/10.3390/math10060893 https://www.mdpi.com/journal/mathematics