Published November 2021 | Version v1
Journal article

Investigation of complex behaviour of fractal fractional chaotic attractor with mittag-leffler Kernel

  • 1. Department of Mathematics, University of Malakand, Chakdara Dir(L) Khyber Pakhtunkhwa (Pakistan)
  • 2. Department of Mathematical Sciences, University of South Africa, Florida, 0003 South Africa (United States)

Description

This article aims to study the behaviour of a chaotic attractor in the fractal-fractional Mittag-Leffler perspective. The different aspects of the chaotic attractor are observed with different fractal and fractional orders. The existence and uniqueness of the system are presented by using Schauder and Banach fixed point theorems. The stability analysis of the equilibrium points of the system is presented together with Ulam-Hyers stability for the system under consideration. The Lyapunov spectra and the bifurcation in the system with respect to control parameter ζ are studied. The numerical scheme based on the Adam-Bashforth method is established with Lagrangian piecewise interpolation. The complex behaviour of the considered system is numerically illustrated using various fractal and fractional orders. It is observed that, the chaotic attractor self-replicates its pattern in the fractal process when fractal dimension varies.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2021.111332

Additional details

Identifiers

DOI
10.1016/j.chaos.2021.111332;
PII
S096007792100686X;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
152
Journal Page Range
vp.
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54092337
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BIFURCATION; CHAOS THEORY; EQUILIBRIUM; FRACTALS; LAGRANGIAN FUNCTION; LYAPUNOV METHOD; SPECTRA
Descriptors DEC
CALCULATION METHODS; FUNCTIONS; MATHEMATICS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.