Abstract
The study of the mathematical dynamical systems presented in the previous chapters advanced our understanding of the dynamics of nonlinear deterministic systems. We now know that random-looking behavior can arise from simple nonlinear systems. Such dynamics, now termed chaotic dynamics, exhibit complicated strange attractors that are fractal sets with positive Lyapunov exponents. We also learned how the dynamic behavior of a system can change via bifurcations, and how period doubling, intermittency, and crisis can take a system from a periodic to a nonperiodic evolution.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer Science+Business Media New York
About this chapter
Cite this chapter
Tsonis, A.A. (1992). Reconstruction of Dynamics from Observables. In: Chaos. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3360-3_8
Download citation
DOI: https://doi.org/10.1007/978-1-4615-3360-3_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-6482-5
Online ISBN: 978-1-4615-3360-3
eBook Packages: Springer Book Archive