General K-order Franklin wavelet method for numerical solution of integral equations

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Jiayi Zhu, Kang Huang, Yuanjie Xian
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引用次数: 0

Abstract

The classical Franklin system is a complete orthonormal set of piecewise linear continuous functions using Haar wavelet collocation points. This paper defines the general K-order Franklin function and introduces the general K-order Franklin wavelet method for solving Fredholm and Volterra integral equations. The method is also applied to solve mixed nonlinear Fredholm–Volterra integral equations. The general K-order Franklin wavelet method, like the higher-order Haar wavelet method, is a collocation method. Its advantage of not requiring constraint equations makes it easier to extend to higher orders, resulting in faster convergence. Several examples are provided to illustrate the reliability and effectiveness of the proposed method. Compared to the fourth-order convergence rate of the higher-order Haar wavelet method, the proposed general K-order Franklin wavelet method achieves a sixth-order convergence rate, improving both the rate of convergence and reducing the absolute error.
积分方程数值解的一般k阶富兰克林小波法
经典富兰克林系统是由Haar小波配点构成的分段线性连续函数的完备标准正交集。定义了一般k阶Franklin函数,并介绍了求解Fredholm和Volterra积分方程的一般k阶Franklin小波方法。该方法也可用于求解混合非线性Fredholm-Volterra积分方程。一般的k阶Franklin小波方法与高阶Haar小波方法一样,都是一种搭配方法。它不需要约束方程的优点使它更容易扩展到高阶,从而更快地收敛。算例说明了该方法的可靠性和有效性。与高阶Haar小波方法的四阶收敛速度相比,本文提出的广义k阶Franklin小波方法达到了六阶收敛速度,既提高了收敛速度,又减小了绝对误差。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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