# Biorthogonal Systems Approximating the Solution of the Nonlinear Volterra Integro-Differential Equation

- MI Berenguer
^{1}, - AI Garralda-Guillem
^{1}and - M Ruiz Galán
^{1}Email author

**2010**:470149

https://doi.org/10.1155/2010/470149

© M. I. Berenguer et al. 2010

**Received: **22 March 2010

**Accepted: **14 June 2010

**Published: **5 July 2010

## Abstract

This paper deals with obtaining a numerical method in order to approximate the solution of the nonlinear Volterra integro-differential equation. We define, following a fixed-point approach, a sequence of functions which approximate the solution of this type of equation, due to some properties of certain biorthogonal systems for the Banach spaces and .

## 1. Introduction

Section 2 shows that operator satisfies the hypothesis of the Banach fixed point theorem and thus the sequence converges to the solution of (1.1) for any However, such a sequence cannot be determined in an explicit way. The method we present consists of replacing the first element of the convergent sequence, by the new easy to calculate function and in such a way that the error is small enough. By repeating the same process for the function and so on, we obtain a sequence that approximates the solution of (1.1) in the uniform sense. To obtain such sequence, we will make use of some biorthogonal systems, the usual Schauder bases for the spaces and , as well as their properties. These questions are also reviewed in Section 2. In Section 3 we define the sequence described above and we study the error . Finally, in Section 4 we apply the method to two examples.

Volterra integro-differential equations are usually difficult to solve in an analytical way. Many authors have paid attention to their study and numerical treatment (see for instance [2–15] for the classical methods and recent results). Among the main advantages of our numerical method as opposed to the classical ones, such as collocation or quadrature, we can point out that it is not necessary to solve algebraic equation systems; furthermore, the integrals involved are immediate and therefore we do not have to require any quadrature method to calculate them. Let us point out that our method clearly applies to the case where the involved functions are defined in , although we have chosen the unit interval for the sake of simplicity. Schauder bases have been used in order to solve numerically some differential and integral problems (see [1, 16–20]).

## 2. Preliminaries

We first show that operator also satisfies a suitable Lipschitz condition. This result is proven by using an inductive argument. The proof is similar to that of the linear case (see [1, Lemma ]).

Lemma 2.1.

*Schauder basis*if for every there exists a unique sequence of scalars such that The associated sequence of (continuous and linear)

*projections*is defined by the partial sums We now consider the usual Schauder basis for the space (supnorm), also known as the

*Faber-Schauder*basis: for a dense sequence of distinct points with and we define and for all we use to stand for the piecewise linear function with nodes at the points with for all and It is straightforward to show (see [21]) that the sequence of projections satisfies the following interpolation property:

## 3. A Method for Approximating the Solution

We now turn to the main purpose of this paper, that is, to approximate the unique fixed point of the nonlinear operator given by (1.3), with the adequate conditions. We then define the approximating sequence described in the Introduction.

Theorem 3.1.

where

(1) is a natural number such that

(2) is a natural number such that with

Proof.

as announced.

The next result is used in order to establish the fact that the sequence defined in Theorem 3.1 approximates the solution of the nonlinear Volterra integro-differential equation, as well as giving an upper bond of the error committed.

Proposition 3.2.

with being the fixed point of the operator and

Proof.

where In particular, it follows from this inequality that given there exists such that

Finally, since the sequence is bounded, also is. Similarly, one proves that is bounded (sequences and are bounded and and are Lipschitz at their second variables) and is bounded (sequences and are bounded and , and are Lipschitz at the third variables).

We have chosen the Schauder bases above for simplicity in the exposition, although our numerical method also works by considering fundamental biorthogonal systems in and .

## 4. Numerical Examples

The behaviour of the numerical method introduced above will be illustrated with the following two examples.

Example 4.1.

Example 4.2.

## Declarations

### Acknowledgment

This research is partially supported by M.E.C. (Spain) and FEDER, project MTM2006-12533, and by Junta de Andaluca Grant FQM359.

## Authors’ Affiliations

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