Wavelets operational methods for fractional differential equations and systems of fractional differential equations

Isah, Abdulnasir (2017) Wavelets operational methods for fractional differential equations and systems of fractional differential equations. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.

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Abstract

In this thesis, new and effective operational methods based on polynomials and wavelets for the solutions of FDEs and systems of FDEs are developed. In particular we study one of the important polynomial that belongs to the Appell family of polynomials, namely, Genocchi polynomial. This polynomial has certain great advantages based on which an effective and simple operational matrix of derivative was first derived and applied together with collocation method to solve some singular second order differential equations of Emden-Fowler type, a class of generalized Pantograph equations and Delay differential systems. A new operational matrix of fractional order derivative and integration based on this polynomial was also developed and used together with collocation method to solve FDEs, systems of FDEs and fractional order delay differential equations. Error bound for some of the considered problems is also shown and proved. Further, a wavelet bases based on Genocchi polynomials is also constructed, its operational matrix of fractional order derivative is derived and used for the solutions of FDEs and systems of FDEs. A novel approach for obtaining operational matrices of fractional derivative based on Legendre and Chebyshev wavelets is developed, where, the wavelets are first transformed into corresponding shifted polynomials and the transformation matrices are formed and used together with the polynomials operational matrices of fractional derivatives to obtain the wavelets operational matrix. These new operational matrices are used together with spectral Tau and collocation methods to solve FDEs and systems of FDEs.

Item Type:	Thesis (Doctoral)
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	Faculty of Applied Science and Technology > Department of Physics and Chemistry
Depositing User:	Mrs. Sabarina Che Mat
Date Deposited:	21 Jul 2021 02:39
Last Modified:	21 Jul 2021 02:39
URI:	http://eprints.uthm.edu.my/id/eprint/291

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