2023
DOI: 10.3390/math11020472
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Numerical Simulation for a High-Dimensional Chaotic Lorenz System Based on Gegenbauer Wavelet Polynomials

Abstract: We provide an effective simulation to investigate the solution behavior of nine-dimensional chaos for the fractional (Caputo-sense) Lorenz system using a new approximate technique of the spectral collocation method (SCM) depending on the properties of Gegenbauer wavelet polynomials (GWPs). This technique reduces the given problem to a non-linear system of algebraic equations. We satisfy the accuracy and efficiency of the proposed method by computing the residual error function. The numerical solutions obtained… Show more

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Cited by 23 publications
(11 citation statements)
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“…In Figure 3a-i, we give a comparison between our numerical results and those results obtained by the RK4 method at α = 1 with m = 6 and r = 14.1. The REF [22] of the solution is shown in Figure 4a-i In addition, to strongly prove and confirm the effectiveness of the given method, we present a comparison with a previously published work solving the same model by using the SCM with the help of other orthogonal polynomials, named Gegenbauer wavelet polynomials [23]. This comparison is presented in Tables 1 and 2 with different values of the parameter r = 14.1 (for the chaotic case) and r = 55 (for the hyperchaotic case), with α = 0.95 and m = 10 in each method, but with the same initial conditions and the same parameters as in Figure 2.…”
Section: Graphical and Tabular Findingsmentioning
confidence: 59%
“…In Figure 3a-i, we give a comparison between our numerical results and those results obtained by the RK4 method at α = 1 with m = 6 and r = 14.1. The REF [22] of the solution is shown in Figure 4a-i In addition, to strongly prove and confirm the effectiveness of the given method, we present a comparison with a previously published work solving the same model by using the SCM with the help of other orthogonal polynomials, named Gegenbauer wavelet polynomials [23]. This comparison is presented in Tables 1 and 2 with different values of the parameter r = 14.1 (for the chaotic case) and r = 55 (for the hyperchaotic case), with α = 0.95 and m = 10 in each method, but with the same initial conditions and the same parameters as in Figure 2.…”
Section: Graphical and Tabular Findingsmentioning
confidence: 59%
“…This method has many applications to solve problems in science and engineering [21][22][23][24][25][26][27][28][29][30][31][32][33][34]. More details about these methods and their applications can be found in other studies [35][36][37][38][39][40][41][42][43][44][45].…”
Section: Introductionmentioning
confidence: 99%
“…This method has many applications to solve problems in science and engineering [21–34]. More details about these methods and their applications can be found in other studies [35–45].…”
Section: Introductionmentioning
confidence: 99%
“…Many authors have also used the SIR epidemic model to study the complex dynamics of epidemic systems (see, e.g., earlier studies [18][19][20]). Recently, fractional calculations have often been used in many disciplines, including epidemiology, science, engineering, economics, and many others [21][22][23][24][25][26][27]. When representing values in these fields, whole integers are often insufficient.…”
Section: Introductionmentioning
confidence: 99%