A new reproducing kernel method for solving the fractional differential equations

In this paper, we investigate the solution of fractional differential equations (FDEs) based on the reproducing kernel method. A reproducing kernel space is constructed using Legendre polynomials. Within this space, the ɛ -approximate method is applied to analyze the condition number of the matrix, and the stability and convergence of the proposed algorithm are examined. Finally, three numerical examples are presented to verify the effectiveness of the method. The obtained absolute errors are smaller than those reported in the reference literatures. This work provides an accurate and reliable numerical tool for solving FDEs.

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Publication Details

Journal
Journal of low frequency noise, vibration and active control
Published
2026-03-03
DOI
https://doi.org/10.1177/14613484261419681
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

A new reproducing kernel method for solving the fractional differential equations

C C Wang, Xueqin Lv, Xianjing Xu
Journal of low frequency noise, vibration and active control
Fractional Differential Equations Solutions
article

A new reproducing kernel method for solving the fractional differential equations

C C Wang, Xueqin Lv, Xianjing Xu
article en

Abstract

In this paper, we investigate the solution of fractional differential equations (FDEs) based on the reproducing kernel method. A reproducing kernel space is constructed using Legendre polynomials. Within this space, the ɛ -approximate method is applied to analyze the condition number of the matrix, and the stability and convergence of the proposed algorithm are examined. Finally, three numerical examples are presented to verify the effectiveness of the method. The obtained absolute errors are smaller than those reported in the reference literatures. This work provides an accurate and reliable numerical tool for solving FDEs.

Journal of low frequency noise, vibration and active control
Harbin Normal University (CN), TianjinSino-German University of Applied Sciences (CN)
Openalex Percentile: Top 31%
Fractional Differential Equations Solutions
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