Startseite Solving a linear fractional equation with nonlocal boundary conditions based on multiscale orthonormal bases method in the reproducing kernel space
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Solving a linear fractional equation with nonlocal boundary conditions based on multiscale orthonormal bases method in the reproducing kernel space

  • Wei Jiang ORCID logo , Zhong Chen EMAIL logo , Ning Hu und Yali Chen
Veröffentlicht/Copyright: 17. Dezember 2020
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Abstract

In recent years, the study of fractional differential equations has become a hot spot. It is more difficult to solve fractional differential equations with nonlocal boundary conditions. In this article, we propose a multiscale orthonormal bases collocation method for linear fractional-order nonlocal boundary value problems. In algorithm construction, the solution is expanded by the multiscale orthonormal bases of a reproducing kernel space. The nonlocal boundary conditions are transformed into operator equations, which are involved in finding the collocation coefficients as constrain conditions. In theory, the convergent order and stability analysis of the proposed method are presented rigorously. Finally, numerical examples show the stability, accuracy and effectiveness of the method.


Corresponding author: Zhong Chen, Department of Mathematics, Harbin Institute of Technology at Weihai, Shandong, 264209, P. R. China, E-mail:

Funding source: The National Natural Science foundation of China

Award Identifier / Grant number: 11401139

Acknowledgements

The authors would like to express their thanks to the unknown referees for their careful reading, helpful comments and valuable suggestions.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The work was supported by the National Natural Science foundation of China (Grant No. 11401139).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-11-24
Accepted: 2020-11-19
Published Online: 2020-12-17
Published in Print: 2021-12-20

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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