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Non-equidistant partition predictor–corrector method for fractional differential equations with exponential memory

  • Hua Kong , Guo-Cheng Wu ORCID logo EMAIL logo , Hui Fu and Kai-Teng Wu
Published/Copyright: December 2, 2021

Abstract

A new class of fractional differential equations with exponential memory was recently defined in the space A C δ n [ a , b ] . In order to use the famous predictor–corrector method, a new quasi-linear interpolation with a non-equidistant partition is suggested in this study. New Euler and Adams–Moulton methods are proposed for the fractional integral equation. Error estimates of the generalized fractional integral and numerical solutions are provided. The predictor–corrector method for the new fractional differential equation is developed and numerical solutions of fractional nonlinear relaxation equation are given. It can be concluded that the non-equidistant partition is needed for non-standard fractional differential equations.


Corresponding author: Guo-Cheng Wu, Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, P. R. China, E-mail:

Funding source: Innovation Team Project of Department of Education of Sichuan Province

Award Identifier / Grant number: 18TD0033

Award Identifier / Grant number: 62076141

Acknowledgement

This work is financially supported by the National Natural Science Foundation of China (NSFC) (Grant No. 62076141), and Innovation Team Project of Department of Education of Sichuan Province (Grant No. 18TD0033).

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

  2. Research funding: None declared.

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

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Received: 2021-06-09
Accepted: 2021-09-11
Published Online: 2021-12-02

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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