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Lyapunov Exponents and Methods of Their Analysis

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Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 142))

Abstract

The book is devoted to study the nonlinear phenomena exhibited by the size-dependent structural members including bifurcations and chaotic processes, and hence this chapter provides an overview of one of the main tools for identifying the nonlinear dynamics of these objects. Namely, the concept of Lyapunov exponents is briefly revisited, which allows us to distinguish between regular (periodic or quasi-periodic) and chaotic vibrations of the size-dependent beams, plates and shells studied in this book. In particular, the methods of Benettin, Wolf, Rosenstein, Kantz based on Jacobian estimation and the neural network method are presented and discussed. As noted above, an important issue in solving problems of nonlinear dynamics, especially at the nano-level, is the question of the reliability of chaotic oscillations. This problem was first identified by René Lozi in 2013. In this monograph, in order to obtain reliable results, it is proposed to achieve a coincidence not only of the basic functions during chaotic oscillations, but also of their second derivatives with respect to time.

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References

  1. Awrejcewicz, J., Krysko, A.V., Erofeev, N.P., Dobriyan, V., Barulina, M.A., Krysko, V.A.: Quantyfying chaos by various computational methods. Part 1: Simple systems. Entropy 20(3) 175 (2018)

    Google Scholar 

  2. Awrejcewicz, J., Krysko, A.V., Erofeev, N.P., Dobriyan, V., Barulina, M.A., Krysko, V.A.: Quantyfying chaos by various computational methods. Part 2: Vibrations of the Bernoulli-Euler beam subjected to periodic and colored noise. Entropy 20(3) 170 (2018)

    Google Scholar 

  3. Kolmogorov A.N.: General theory of dynamical systems and classical mechanics. In: International Mathematical Congress in Amsterdam, pp. 185–208. Fizmatgiz, Moscow (1961). (in Russian)

    Google Scholar 

  4. Benettin, G., Galgani, L., Strelcyn, J.M.: Kolmogorov entropy and numerical experiments. Phys. Rev. A 14, 2338–2345 (1976)

    Article  Google Scholar 

  5. Beklemishev, D.V.: Course of Analytical Geometry and Linear Algebra. Nauka, Moscow

    Google Scholar 

  6. Wolf, A., Swift, J.B., Swinney, H.L., Vastano, J.A.: Determining Lyapunov exponents from a time series. Phys. D 16, 285–317 (1985)

    Article  MathSciNet  Google Scholar 

  7. Mackey, M.C., Glass, L.: Oscillation and chaos in physiological control systems. Science 197, 287–289 (1977)

    Article  Google Scholar 

  8. Hudson, J.L., Mankin, J.C.: Chaos in the Belousov-Zhabotinskii reaction. J. Chem. Phys. 74, 6171 (1981)

    Article  Google Scholar 

  9. Taylor, G.I.: Stability of a viscous liquid contained between two rotating cylinders. Phil. Trans. Roy. Soc. A 223(605–615), 289–343 (1923)

    MATH  Google Scholar 

  10. Kantz, H.: A robust method to estimate the maximal Lyapunov exponent of a time series. Phys. Lett. A 185, 77–87 (1994)

    Article  Google Scholar 

  11. Sato, S., Sano, M., Sawada, Y.: Practical methods of measuring the generalized dimension and the largest Lyapunov exponent in high dimensional chaotic systems. Prog. Theor. Phys. 77, 1–7 (1987)

    Article  MathSciNet  Google Scholar 

  12. Eckmann, J.-P., Ruelle, D.: Ergodic theory of chaos and strange attractors. Rev. Mod. Phys. 57, 617–656 (1985)

    Article  MathSciNet  Google Scholar 

  13. Rosenstein, M.T., Collins, J.J., De Luca, C.J.: A practical method for calculating largest Lyapunov exponents from small data sets. Phys. D 65, 117–134 (1993)

    Article  MathSciNet  Google Scholar 

  14. Lim, C.W., Wang, C.M.: Exact variational nonlocal stress modelling with asymptotic higher-order strain gradients for nanobeams. J. Appl. Phys. 101, 054312 (2007)

    Article  Google Scholar 

  15. Wang, C.M., Zhang, Y.Y., Kitipornchai, S.: Vibration of initially stressed micro- and nano-beams. Int. J. Struct. Stab. Dyn. 7, 555–570 (2007)

    Article  MathSciNet  Google Scholar 

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Correspondence to Jan Awrejcewicz .

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Awrejcewicz, J., Krysko, A.V., Zhigalov, M.V., Krysko, V.A. (2021). Lyapunov Exponents and Methods of Their Analysis. In: Mathematical Modelling and Numerical Analysis of Size-Dependent Structural Members in Temperature Fields. Advanced Structured Materials, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-030-55993-9_3

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  • DOI: https://doi.org/10.1007/978-3-030-55993-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-55992-2

  • Online ISBN: 978-3-030-55993-9

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