OF THE INTERVAL
2016
A random map is a discrete time process in which one of a number of functions is selected at random and applied. Here we study random maps of (0,1) which represent dynamical systems on the square (0, 1 ) X (0, 1). Sufficient conditions for a random map to have an absolutely continuous invariant measure are given, and the number of ergodic components of a random map is discussed.
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