DYNAMICS OF FRACTIONAL-ORDER LORENZ
SYSTEM APPLYING DIFFERENT NUMERICAL METHODS

Abstract

In this paper we numerically study the chaotic behaviors of the fractional-order Lorenz system, considered as a highly simplified model for the wether, comparing Euler's method, Fourth Order Runge-Kutta method (RK4) and Vectorial Fourth Order Runge-Kutta method with an semi-numerical method named as Fractional Multi-step Differential Transformation method (FMDTM), that exploits the power series representation of the solution. The system is shown to display interesting chaotic behavior depending on the third parameter $c=13.93$ (homoclinic orbit) and $c=24.74$ (formed strange attractor) for same initial conditions and fractional order $\alpha=0.998$, which are analyzed by comparing system phase portraits with each other and $\alpha=1$. The fractional derivatives are described in the Caputo sense. The results demonstrate reliability and efficiency of the algorithm developed using Mathematica Package.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 35
Issue: 2
Year: 2022

DOI: 10.12732/ijam.v35i2.8

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References

  1. [1] C. Berviller, Status of the differential transformation method, App. Math. and Comp., 20 (2012), 10158-10170.
  2. [2] Z.M. Odibat, C. Bertelle, M. Aziz Alaoui, G.H.E. Duchamp, A multi-step differential transform method and application to non-chaotic or chaotic systems, Computer and Mathematics with Applications, 59 (2010), 1462-1472.
  3. [3] V.S. Erturk, Sh. Momani, Solving systems of fractional differential equations using differential transform method, Journal of Computational and Applied Mathematics, 215 (2008), 142-151.
  4. [4] C. Milici, Ch. Draganescu, J.A. Tenreiro Machado, Introduction to Fractional Differential Equations, Springer Nature, Switzerland (2019).
  5. [5] Ch. Li, F. Zeng, Numerical Methods for Fractional Calculus, CRC Press, Taylor and Francis Group, New York (2015).
  6. [6] R. Caponetto, G. Dongola, L. Fortuna, I. Petras, Fractional Order Systems, Modeling and Control Applications, World Scientific Publ. Ser. on Nonlinear Science Series A, USA (2011).
  7. [7] I. Petras, Fractional-Order Nonlinear Systems Modeling, Analysis and Simulation, Springer-Verlag, Berlin (2011).
  8. [8] S. Lunch, Dynamical Systems with Applications using Mathematica, New York, USA (2007).