Abstract

We present a new numerical algorithm for two-point boundary value problems. We first present the exact solution in the form of series and then prove that then-term numerical solution converges uniformly to the exact solution. Furthermore, we establish the numerical stability and error analysis. The numerical results show the effectiveness of the proposed algorithm.

Highlights

  • It is well known that many problems can be presented by the following two-point boundary value problems:[xαy󸀠 (x)]󸀠 = f (x, y), x ∈ (0, 1), (1)y (0) = a, y (1) = b, where α ∈ [0, 1], a, and b are finite constants

  • We prove that the n-term numerical solution yn(x) converges uniformly to the exact solution

  • We use the reproducing kernel iterative method to solve a class of two-point boundary value problems

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Summary

Introduction

It is well known that many problems can be presented by the following two-point boundary value problems:. Problem (1) arises from many fields of applied mathematics and physics, such as nuclear physics, economical system, chemical engineering, and underground water flow. Aziz and Kumar [1, 2] presented a finite difference method based on nonuniform mesh to solve this problem. We propose a new numerical algorithm to solve (1) by using the reproducing kernel theory.

Fundamental Definitions and Theorems
Structure of the Nonlinear Operator
Solving the Problem
Numerical Examples
Conclusions
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