Computational Scheme for the First-Order Linear Integro-Differential Equations Based on the Shifted Legendre Spectral Collocation Method

Zhuoqian Chen, Houbao Xu () and Huixia Huo
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Zhuoqian Chen: Department of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China
Houbao Xu: Department of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China
Huixia Huo: Department of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China

Mathematics, 2022, vol. 10, issue 21, 1-21

Abstract: First-order linear Integro-Differential Equations (IDEs) has a major importance in modeling of some phenomena in sciences and engineering. The numerical solution for the first-order linear IDEs is usually obtained by the finite-differences methods. However, the convergence rate of the finite-differences method is limited by the order of the differences in L 1 space. Therefore, how to design a computational scheme for the first-order linear IDEs with computational efficiency becomes an urgent problem to be solved. To this end, a polynomial approximation scheme based on the shifted Legendre spectral collocation method is proposed in this paper. First, we transform the first-order linear IDEs into an Cauchy problem for consideration. Second, by decomposing the system operator, we rewrite the Cauchy problem into a more general form for approximating. Then, by using the shifted Legendre spectral collocation method, we construct a computational scheme and write it into an abstract version. The convergence of the scheme is proven in the sense of L 1 -norm by employing Trotter-Kato theorem. At the end of this paper, we summarize the usage of the scheme into an algorithm and present some numerical examples to show the applications of the algorithm.

Keywords: spectral collocation method; integro-differential equations; Trotter-Kato theorem; algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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