Abstract
Ergodic theory was originally developed to study the long time behavior of dynamical systems, especially arising in statistical mechanics. Our aim in this chapter is to analyze some basic features of dynamical systems, such as attractive and repelling periodic orbits, bifurcations, and chaotic phenomena, via some important families of one-dimensional maps. The logistic, or quadratic, family provides an important example.
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Notes
- 1.
See, for example, Bhattacharya and Waymire (2021) and the references therein.
- 2.
Also see Peckham et al. (2018) and the references therein for related applications to sustainability of a biological population subject to random disturbances.
- 3.
- 4.
See May (1976).
- 5.
See Jeffries and Perez (1982).
- 6.
- 7.
Many applications of dynamical systems to economic theory may be found in Bhattacharya and Majumdar (2007), Chapter 1, which also contains an expository account of the elements of chaos theory in discrete time. The classic work of Samuelson (1947) (enlarged edition published in 1983), based on his 1941 Harvard thesis, is a pioneering study of optimization of economic phenomena governed by systems of differential equations, their equilibrium, and stability, as well as what would now be called bifurcations.
- 8.
See, e.g., Hurewicz (1958).
- 9.
The first example of a chaotic flow in dimension three is due to Lorenz (1963).
- 10.
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Bhattacharya, R., Waymire, E. (2022). An Introduction to Dynamical Systems. In: Stationary Processes and Discrete Parameter Markov Processes. Graduate Texts in Mathematics, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-031-00943-3_6
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