2000, Volume 3, Number 1, pp.81--86
We study the dynamics of one dimensional iterative maps in the regime
of fully developed chaos. Introducing the concept of the turning points
we extract from the chaotic trajectories the corresponding turning point
trajectories which represent a strongly correlated part of the chaotic
dynamics of the system. The density of turning points exhibits step like
structures at the positions of the unstable fix points. The turning point
dynamics is discussed and the corresponding turning point map, which
possesses an appealing asymptotic scaling property, is investigated. As a
first application of the turning point concept we demonstrate its
usefulness for the analysis of time series and provide an algorithm,
which allows to locate the fixed points in one dimensional time
series.
Key words: chaotic dynamics, iterative maps, asymptotic scaling
property.
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