Extrapolation method of iterated collocation solution for two-dimensional nonlinear Volterra integral equations
Introduction
Consider the nonlinear Volterra equation of the second kindwhere g(x,y), K(x, y, t, s, u) are given continuous functions defined, respectively, on D=[0,X]×[0,Y] and , with K(x, y, t, s, u) nonlinear in u.
LetThen Eq. (1.1)becomes
It follows from the classical theory of Volterra that (1.1) possesses a unique solution . Especially, when g and K are r times continuously differentiable on D and E, respectively, then u* is r times continuously differentiable on D.
During the last 10 years, significant progress has been made in numerical analysis of one-dimensional version of (1.1) (see, 2, 4, 6 and in the references cited there). However, the numerical methods for two-dimensional integral equation (1.1) seem to have been discussed in only a few places. Ref. [1] proposed a class of explicit Runge–Kutta-type methods of order 3 (without analyzing their convergence). Bivariate cubic spline functions method of full continuity was obtained by Singh [8]. Brunner and Kauthen [3] introduced collocation and iterated collocation methods for two-dimensional linear Volterra integral equation. They gave an analysis of global and local convergence properties of collocation method and iterated collocation method, and derived results on attainable orders of global convergence and local superconvergence. In [7], asymptotic error expansion of iterated collocation solution for two-dimensional linear Volterra integral equation was obtained. In this paper, we discuss collocation method and iterated collocation method for Eq. (1.1). The asymptotic error expansion for the iterated collocation solution of (1.1) is obtained. We show that when piecewise polynomials of πp−1,q−1 are used, the iterated collocation solution admits an error expansion in powers of the stepsizes h and k. For a special choice of the collocation points, the leading terms in the error expansion contain only even powers of the stepsizes h and k, beginning with terms in h2p and k2q. Thus, Richardson's extrapolation can be performed on the numerical solution; and this will increase the accuracy of the numerical solution greatly. This paper is organized as follows. In Section 2, we describe the approximating spline spaces, give asymptotic error expansions for a class of spline interpolation and derive collocation method of (1.1). Section 3deals with asymptotic error expansion of iterated collocation solution for Eq. (1.1). Finally, some numerical examples are given in illustration of this theory in Section 4.
Section snippets
The approximating polynomial spline spaces
Let ΔM(1) and ΔN(2) denote, respectively, equidistant partitions of [0,X] and [0,Y]and. These partitions define a grid for D.SetandFor given positives p and q, let πp−1,q−1 denote the space of real polynomials of degree p−1 in x and degree q−1 in y, then
Iterated collocation solution and its asymptotic error expansion
Let be the collocation approximation generated by (2.3). The corresponding iterated collocation approximation is defined byor write (3.1) asNote thatThus, also satisfies the following equation:We assume in the following that the sum ∑t2t1 equals zero when t1>t2.
Lemma 4. (Euler–MacLaurin Summation Formula). Let . Then,
Numerical illustration
Consider the nonlinear Volterra integral equationwhereIts exact solution is . The solution of (4.1) will be approximated by iterated collocation method in the space S(−1)p,q(ΔM,N), with p=q=2. We choose uniform partitions with M=N, h=k=1/N, N=2, 4, 8, 16, 32. The set of collocation points consist of the two Gauss points in the interval (0,1), that iswhere
Acknowledgements
The work was supported in part by the National Nature Science Foundation of China and Nature Science Foundation of Guangdong Province, P.R. China.
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Cited by (0)
- 1
E-mail: [email protected].
- 2
E-mail: [email protected].
- 3
Department of Computer and Electronic Engineering, Guangdong Provincial Institute for Technical Person, Guangzhou, Guangdong Province, P.R. China.