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Optimal semi-analytical solutions of time-fractional evolution equations

  • Saif Ullah
  • , Fareeha Yaqub
  • , Taj Munir*
  • , Hussan Zeb
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This study focuses on the optimal semi-analytical solutions of time-fractional evolution equations. First of all, the classical evolution equations are converted to time-fractional evolution equations using Caputo–Fabrizio fractional derivative. The advantage of Caputo–Fabrizio fractional derivative is that its kernel is non-singular and because of that, there is no complexity in the implementation of Caputo–Fabrizio fractional derivative. Then, the time-fractional evolution equations are solved using a semi-analytical technique, which is the combination of Laplace transform and Picard’s iterative scheme. The derived solutions are innovative, and previous literature lacks such derivations. In addition, the stability analysis of implemented semi-analytical technique is also carried out by using Banach contraction principle and g-stable mapping. Moreover, the efficacy of Caputo–Fabrizio fractional derivative is exhibited through graphical illustrations, and numerical results are drafted in tabular form for specific values of fractional parameter to further validate the efficiency of implemented semi-analytical technique for time-fractional evolution equations.

Original languageEnglish
Article number104438
Pages (from-to)1995-2015
Number of pages21
JournalJournal of Applied Mathematics and Computing
Volume71
Issue number2
DOIs
StatePublished - Apr 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) under exclusive licence to Korean Society for Informatics and Computational Applied Mathematics 2024.

Keywords

  • Banach contraction principle
  • Caputo–Fabrizio fractional derivative
  • Semi-analytical technique
  • Time-fractional evolution equations

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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