Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 5, Issue 2


Published
on

July 1, 2020


Pages

35-48


DOI

Article

A modified invariant subspace method for solving partial differential equations with non-singular kernel fractional derivatives

Check for updates


Authors

Kamal Ait Touchent Affiliation:
Faculty of Sciences and Techniques, Moulay Ismail University of Meknes. BP 509 Boutalamine 52000 Errachidia, Morocco
, Zakia Hammouch Affiliation:
Faculty of Sciences and Techniques, Moulay Ismail University of Meknes. BP 509 Boutalamine 52000 Errachidia, Morocco
and Toufik Mekkaoui Affiliation:
Faculty of Sciences and Techniques, Moulay Ismail University of Meknes. BP 509 Boutalamine 52000 Errachidia, Morocco


Abstract

In this work, the well known invariant subspace method has been modified and extended to solve some partial differential equations involving Caputo-Fabrizio (CF) or Atangana-Baleanu (AB) fractional derivatives. The exact solutions are obtained by solving the reduced systems of constructed fractional differential equations. The results show that this method is very simple and effective for constructing explicit exact solutions for partial differential equations involving new fractional derivatives with nonlocal and non-singular kernels, such solutions are very useful to validate new numerical methods constructed for solving partial differential equations with CF and AB fractional derivatives.


Keywords

Modified invariant subspace method, Caputo-Fabrizio fractional derivative, Atangana-Baleanu fractional derivative, Exact solution, Partial differential equations, 26A33, 35R11, 47A15


Citation

Touchent, K. A., Hammouch, Z., & Mekkaoui, T. (2020). A modified invariant subspace method for solving partial differential equations with non-singular kernel fractional derivatives. Applied Mathematics and Nonlinear Sciences, 5(2), 35–48. https://doi.org/10.2478/amns.2020.2.00012

Published by: Engineering Journals

Engineering Journals Logo