A numerical method using Legendre polynomials for solving two-point interface problems

This paper presents a novel numerical algorithm that integrates reproducing kernel functions with Legendre polynomials to effectively address multiple interface problems. We create a new set of bases within the reproducing kernel space, introduce a linear operator, and utilize its properties to derive an equivalent operator equation. The model equation is then transformed into a matrix equation, enhancing the solution process for complex interface issues. Comparative numerical examples demonstrate the superior accuracy of our method over conventional approaches. Furthermore, the solution's existence and uniqueness are validated, ensuring the algorithm's reliability and effectiveness.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025362
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
1.33
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article

A numerical method using Legendre polynomials for solving two-point interface problems

Jiali Zhou, Min Wu, Jing Niu, Chaoyue Guan
1 citations
AIMS Mathematics
Advanced Numerical Methods in Computational Mathematics
1.33
article

A numerical method using Legendre polynomials for solving two-point interface problems

Jiali Zhou, Min Wu, Jing Niu, Chaoyue Guan
article en
1 citations

Abstract

This paper presents a novel numerical algorithm that integrates reproducing kernel functions with Legendre polynomials to effectively address multiple interface problems. We create a new set of bases within the reproducing kernel space, introduce a linear operator, and utilize its properties to derive an equivalent operator equation. The model equation is then transformed into a matrix equation, enhancing the solution process for complex interface issues. Comparative numerical examples demonstrate the superior accuracy of our method over conventional approaches. Furthermore, the solution's existence and uniqueness are validated, ensuring the algorithm's reliability and effectiveness.

AIMS MathematicsVol. 10(4)
Harbin Normal University (CN), Zhejiang University of Science and Technology (CN), Zhejiang University of Technology (CN)
Openalex Percentile: Top 25%
Advanced Numerical Methods in Computational Mathematics
1.33
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