Skip to main content
Log in

Symbolic and numerical analysis for studying complex nonlinear behavior

  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

Carleman linearization and symbolic compution are used in order to derive explicit solutions in terms of exponential polynomials depending on the parameters and initial conditions. This new method is combined with a numerical algorithm in order to compute the Lyapunov exponents associated with the system. The aim of such an approach is to propose efficient tools in order to determine the intervals of the parameters where chaotic behavior exists.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. R.F.S. Andrade, Carleman embedding and Lyapunov exponents, J. Math. Phys. 23 (1982) 2271–2275.

    Google Scholar 

  2. S. Belghith, Méthodes numériques et algébriques pour l'étude de comportements complexes de systèmes non linéaires, Thèse d'Etat en Sciences physiques, Tunis (1997).

    Google Scholar 

  3. H. Broer, C. Simo and J.C. Tatjer, Towards global models near homoclinic tangencies of dissipative diffeomorphism, Nonlinearity 2 (1998) 667–770.

    Google Scholar 

  4. A.S.C. Esperidiao and R.F.S. Andrade, Occurrence of secular terms in the Carleman embedding, J. Math. Phys. 27(1) (1986) 66–71.

    Google Scholar 

  5. K. Kowalski and W.H. Steeb, Nonlinear Dynamical System and Carleman Linearization (World Scientific, Singapore, 1991).

    Google Scholar 

  6. T. Matsumoto, L.O. Chua and M. Komuro, The double scroll, IEEE Circuits Systems 32(8) (1985) 798–818.

    Google Scholar 

  7. V.L. Oseledec, A multiplicative ergodic theorem: Lyapunov characteristic numbers for dynamical systems, Trans. Moscow Math. Soc. 19 (1968) 197–231.

    Google Scholar 

  8. R. Seydel, Practical Bifurcation and Stability Analysis (Springer, New York, 1994).

    Google Scholar 

  9. C. Sparrow, The Lorenz Equations: Bifurcations, Chaos, and Strange Attactors (Springer, New York, 1986).

    Google Scholar 

  10. L. Stolovitch, Systèmes dynamiques et formes normales, Preprint LMC-IMAG (1991).

  11. R. Vautard, Les situations météorologiques extrêmes et leur prévisibilité, in: Images de la Physique (CNRS, Paris 1994) pp. 18–25.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Belghith, S. Symbolic and numerical analysis for studying complex nonlinear behavior. Numerical Algorithms 20, 51–61 (1999). https://doi.org/10.1023/A:1019183229456

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1019183229456

Navigation