Abstract
We investigate correlation functions for several chaotic maps. For the one-dimensional Belousov-Zhabotinsky map noise leads to a slower decay of correlations. In order to eliminate periodic components in a continuous three-dimensional model the second iterate of a next-amplitude map is used. Furthermore we discuss information-theoretical correlation measures, which describe the limited predictability of chaotic systems.
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