EconPapers    
Economics at your fingertips  
 

A fractional multi-wavelet basis in Banach space and solving fractional delay differential equations

Fateme Rezaei Savadkoohi, Mohsen Rabbani, Tofigh Allahviranloo and Mohsen Rostamy Malkhalifeh

Chaos, Solitons & Fractals, 2024, vol. 186, issue C

Abstract: In this article, we construct a fractional multi-wavelet basis based on Legendre polynomials to solve fractional delay linear and nonlinear differential equations. For this we introduce an orthonormal fractional basis for Banach space L2[0,1] with suitable inner product which make it effective to decrease computational operations and increase accuracy to find approximate solution of the equations. Also, solving fractional problems by orthogonal basis such as Legendre polynomials has a lower accuracy in comparison with fractional basis. Finally, some examples are solved to show the high accuracy of the presented method, and also to compare with some other works.

Keywords: Fractional delay differential equations; Fractional multi-wavelet; Riemann–Liouville integral; Caputo fractional derivative; Legendre polynomials (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924008658
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924008658

DOI: 10.1016/j.chaos.2024.115313

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().

 
Page updated 2025-03-19
Handle: RePEc:eee:chsofr:v:186:y:2024:i:c:s0960077924008658