Approximate solution to solve nonlinear Volterra integral equations with discontinuous kernels using shifted alternative Legendre polynomials

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Fatemeh Mohammadi, Farshid Mirzaee, Erfan Solhi
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引用次数: 0

Abstract

We consider nonlinear Volterra integral equations of the second kind with discontinuous kernels, which present significant analytical and numerical challenges due to the combined presence of nonlinearity and kernel discontinuity. To address these difficulties, we develop a new method based on shifted alternative Legendre polynomials and associated operational matrices. The proposed approach approximates the unknown solution via truncated polynomial expansions and systematically transforms the original integral equation into a system of nonlinear algebraic equations through matrix-based discretization. We establish several theoretical results concerning the convergence, stability, and error bounds of the method. Numerical experiments are conducted to validate the proposed approach, demonstrating its accuracy, efficiency, and capability in handling these equations .
用移位交替勒让德多项式近似解非线性核不连续Volterra积分方程
我们考虑了第二类核不连续的非线性Volterra积分方程,由于非线性和核不连续的共同存在,这类方程在解析和数值上提出了重大的挑战。为了解决这些困难,我们开发了一种基于移位可选勒让德多项式和相关运算矩阵的新方法。该方法通过截断多项式展开逼近未知解,并通过基于矩阵的离散化将原始积分方程系统地转化为非线性代数方程组。给出了该方法的收敛性、稳定性和误差界的几个理论结果。数值实验验证了该方法的准确性、效率和处理这些方程的能力。
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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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