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Lyapunov Exponents and Sensitive Dependence

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Abstract

Precise relationships between Lyapunov exponents and the instability/stability of orbits of scalar discrete dynamical systems are investigated. It is known that positive Lyapunov exponent does not, in general, imply instability, or, equivalently, sensitive dependence on initial conditions. A notion of strong Lyapunov exponent is introduced and it is proved that for continuously differentiable maps on an interval, a positive strong Lyapunov exponent implies sensitive dependence on initial conditions. However, to have a strong Lyapunov exponent an orbit must stay away from critical points. Nevertheless, it is shown for a restricted class of maps that a positive Lyapunov exponent implies sensitive dependence even for orbits which go arbitrarily close to critical points. Finally, it is proved that for twice differentiable maps on an interval negative Lyapunov exponent does imply exponential stability of orbits.

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References

  1. Abraham C., Biau J., Cadre B.: On Lyapunov exponents and sensitivity. J. Math. Anal. Appl. 290, 395–404 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  2. Alligood K., Sauer T., Yorke J.: Chaos: An Introduction to Dynamical Systems. Springer, New York (1997)

    Google Scholar 

  3. Chetaev, N.G.: Stability of Motion. GITTL, Moscow-Leningrad (1946) (in Russian)

  4. Coddington E.A., Levinson N.: Theory of Ordinary Differential Equations. McGraw-Hill, New York (1955)

    MATH  Google Scholar 

  5. Coppel W.A.: Stability and Asymptotic Behavior of Differential Equations. D.C. Heath and Company, Boston, MA (1965)

    MATH  Google Scholar 

  6. Day S., Kokubu H., Luzzatto S., Mischaikow C., Oka H., Pilarczyk P.: Quantitative hyperbolicity estimates in one-dimensional dynamics. Nonlinearity 21, 1967–1987 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. Demir B., Koçak S.: A note on positive Lyapunov exponent and sensitive dependence on initial conditions. Chaos Solitons Fractals 12, 2119–2121 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  8. Guckenheimer J.: Sensitive dependence to initial conditions for one dimensional maps. Commun. Math. Phys. 70, 133–160 (1979)

    Article  MathSciNet  MATH  Google Scholar 

  9. Hale J.: Ordinary Differential Equations. Wiley-Interscience, New York (1969)

    MATH  Google Scholar 

  10. Hale, J.: Studies in Ordinary Differential Equations. MAA Studies in Mathematics, Vol. 14. Mathematical Association of America, Providence, RI (1977)

  11. La Salle J.P.: A Study of Synchronous Asymptotic Stability. Ann. Math. (Second Series) 65, 571–581 (1957)

    Article  MathSciNet  Google Scholar 

  12. La Salle J.P.: The Stability of Dynamical Systems. S.I.A.M., Philadelphia, PA (1976)

    Google Scholar 

  13. La Salle J.P., Lefschetz S.: Stability by Liapunov’s Direct Method, With Applications. Academic Press, New York, NY (1961)

    MATH  Google Scholar 

  14. Lefschetz S.: Differential Equations: Geometric Theory, 2nd edn. Wiley-Interscience, New York, NY (1963)

    MATH  Google Scholar 

  15. Leonov G.A., Kuznetsov N.V.: Time-varying linearizations and the Perron effects. Int. J. Bifurcat Chaos 17, 1079–1107 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  16. Lyapunov, A.M.: The General Problem of the Stability of Motion. Taylor and Francis, London (English translation of the original book published by the Mathematical Society of Kharkov in 1892) (1992)

  17. Palis J., Takens F.: Hyperbolicity and Sensitive Chaotic Dynamics at Homoclinic Bifurcations. Cambridge University Press, Cambridge (1993)

    MATH  Google Scholar 

  18. Winkler, G.: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction. Applications of Mathematics, 2nd edn, vol. 27. Springer, Berlin (2003)

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Correspondence to Kenneth J. Palmer.

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This paper is dedicated to Professor Jack Hale, in admiration and gratitude, on the occasion of his 80th birthday.

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Koçak, H., Palmer, K.J. Lyapunov Exponents and Sensitive Dependence. J Dyn Diff Equat 22, 381–398 (2010). https://doi.org/10.1007/s10884-010-9169-y

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  • DOI: https://doi.org/10.1007/s10884-010-9169-y

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