Book contents
- Frontmatter
- Contents
- Preface to the first edition
- Preface to the second edition
- 1 Introduction and overview
- 2 One-dimensional maps
- 3 Strange attractors and fractal dimension
- 4 Dynamical properties of chaotic systems
- 5 Nonattracting chaotic sets
- 6 Quasiperiodicity
- 7 Chaos in Hamiltonian systems
- 8 Chaotic transitions
- 9 Multifractals
- 10 Control and synchronization of chaos
- 11 Quantum chaos
- References
- Index
1 - Introduction and overview
Published online by Cambridge University Press: 05 June 2012
- Frontmatter
- Contents
- Preface to the first edition
- Preface to the second edition
- 1 Introduction and overview
- 2 One-dimensional maps
- 3 Strange attractors and fractal dimension
- 4 Dynamical properties of chaotic systems
- 5 Nonattracting chaotic sets
- 6 Quasiperiodicity
- 7 Chaos in Hamiltonian systems
- 8 Chaotic transitions
- 9 Multifractals
- 10 Control and synchronization of chaos
- 11 Quantum chaos
- References
- Index
Summary
Some history
Chaotic dynamics may be said to have started with the work of the French mathematician Henri Poincaré at about the turn of the century. Poincaré's motivation was partly provided by the problem of the orbits of three celestial bodies experiencing mutual gravational attraction (e.g., a star and two planets). By considering the behavior of orbits arising from sets of initial points (rather than focusing on individual orbits), Poincaré was able to show that very complicated (now called chaotic) orbits were possible. Subsequent noteworthy early mathematical work on chaotic dynamics includes that of G. Birkhoff in the 1920s, M. L. Cartwright and J. E. Littlewood in the 1940s, S. Smale in the 1960s, and Soviet mathematicians, notably A. N. Kolmogorov and his coworkers. In spite of this work, however, the possibility of chaos in real physical systems was not widely appreciated until relatively recently. The reasons for this were first that the mathematical papers are difficult to read for workers in other fields, and second that the theorems proven were often not strong enough to convince researchers in these other fields that this type of behavior would be important in their systems. The situation has now changed drastically, and much of the credit for this can be ascribed to the extensive numerical solution of dynamical systems on digital computers. Using such solutions, the chaotic character of the time evolutions in situations of practical importance has become dramatically clear.
- Type
- Chapter
- Information
- Chaos in Dynamical Systems , pp. 1 - 23Publisher: Cambridge University PressPrint publication year: 2002