Skip to main content

From Order to Chaos: Bifurcation Scenarios (Part II)

  • Chapter
  • First Online:
Deterministic Nonlinear Systems

Abstract

According to the Ruelle–Takens–Newhouse scenario, the transition from quasiperiodicity to chaos occurs after the third frequency birth, when Lyapunov-unstable chaotic trajectories appear on a three-dimensional torus. However, the study of particular dynamical systems has shown that the appearance of chaos following the destruction of two-frequency quasiperiodic motion is also a typical scenario of the transition to chaos. According to this route, a two-dimensional (2D) torus T 2 in phase space is destroyed and trajectories fall in a set with fractal dimension 2 + d, d ∈ [0, 1]. This set is created in the vicinity of T 2 and is thus called torus chaos. Such a route may be thought of as a special case of the quasiperiodic transition to chaos.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    For the golden mean, p k and q k are the sequential terms of the main Fibonacci series, namely, p k = F k , \(q_{k} = F_{k+1}\), and consequently \(\theta _{\mathrm{g}} =\lim _{k\rightarrow \infty }F_{k}/F_{k+1}\). The Fibonacci series is determined by the recurrence formula \(F_{k+1} = F_{k-1} + F_{k}\), where (F 0, F 1) are the base of the series. The main series has base (0, 1).

  2. 2.

    For example, Pikovsky and Feudel [12].

  3. 3.

    Strictly speaking, such a merger is not a crisis since it does not cause the absorbing area to change. But in this case the term ‘crisis’ is commonly accepted.

References

  1. Anishchenko, V.S.: Dynamical Chaos – Models and Experiments. World Scientific, Singapore (1995)

    MATH  Google Scholar 

  2. Anishchenko, V.S., Astakhov, V.V., Neiman, A.B., Vadivasova, T.E., Schimansky-Geier, L.: Nonlinear Dynamics of Chaotic and Stochastic Systems. Springer, Berlin (2002)

    MATH  Google Scholar 

  3. Berge, P., Pomeau, I., Vidal, C.G.: Order Within Chaos. Wiley, New York (1984)

    MATH  Google Scholar 

  4. Binney, J.: The Theory of Critical Phenomena: An Introduction to the Renormalization Group. Oxford University Press, Oxford (1992)/World Scientific, Singapore (2010)

    Google Scholar 

  5. Collins, J.: Renormalization: An Introduction to Renormalization. Cambridge University Press, Cambridge (1984, 1986)

    Google Scholar 

  6. Feudel, U., Kuznetsov, S., Pikovsky, A.: Strange Nonchaotic Attractors: Dynamics Between Order and Chaos in Quasiperiodically Forced Systems. World Scientific, Singapore (2006)

    Google Scholar 

  7. Heagy, J.F., Hammel, S.M.: The birth of strange nonchaotic attractors. Physica D 70, 140 (1994)

    Article  ADS  MATH  MathSciNet  Google Scholar 

  8. Kuznetsov, A.P., Kuznetsov, S.P., Sataev, I.P.: Codimension and typicality in the context of description of the transition to chaos through period-doubling in dissipative dynamical systems. Regular and Chaotic Dyn. 2, 90–105 (1997) (in Russian)

    MATH  MathSciNet  Google Scholar 

  9. Marek, M., Schreiber, I.: Chaotic Behaviour of Deterministic Dissipative Systems. Cambridge University Press, Cambridge (1991, 1995)

    Google Scholar 

  10. Nicolis, G.: Introduction to Nonlinear Science. Cambridge University Press, Cambridge (1995)

    Book  Google Scholar 

  11. Ogorzalek, M.J.: Chaos and Complexity in Nonlinear Electronic Circuits. World Scientific, Singapore (1997)

    MATH  Google Scholar 

  12. Pikovsky, A.S., Feudel, U.: Characterizing strange nonchaotic attractors. Chaos 5, 253 (1995).

    Article  ADS  MATH  MathSciNet  Google Scholar 

  13. Schuster, H.G.: Deterministic Chaos. Physik-Verlag, Weinheim (1988)

    Google Scholar 

  14. Seydel, R.: Practical Bifurcation and Stability Analysis: From Equilibrium to Chaos. Springer, New York (1994, 2009)

    Google Scholar 

  15. Shilnikov, L.P., Shilnikov, A.L., Turaev, D.V., Chua, L.O.: Methods of Qualitative Theory in Nonlinear Dynamics. World Scientific, Singapore (2001)

    MATH  Google Scholar 

  16. Thompson, J.M.T., Stewart, H.B.: Nonlinear Dynamics and Chaos. Wiley, New York (1986)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Anishchenko, V.S., Vadivasova, T.E., Strelkova, G.I. (2014). From Order to Chaos: Bifurcation Scenarios (Part II). In: Deterministic Nonlinear Systems. Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-319-06871-8_7

Download citation

Publish with us

Policies and ethics