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Correlation dimension for iterated function systems
Authors:Wai Chin  Brian Hunt  James A Yorke
Institution:Department of Mathematics, Colorado State University, Fort Collins, Colorado 80523 (On leave at: Institute for Mathematics and Its Applications, University of Minnesota, Minneapolis, Minnesota 55455) ; Department of Mathematics and Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742 ; Department of Mathematics and Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742
Abstract:The correlation dimension of an attractor is a fundamental dynamical invariant that can be computed from a time series. We show that the correlation dimension of the attractor of a class of iterated function systems in $\mathbf {R}^N$ is typically uniquely determined by the contraction rates of the maps which make up the system. When the contraction rates are uniform in each direction, our results imply that for a corresponding class of deterministic systems the information dimension of the attractor is typically equal to its Lyapunov dimension, as conjected by Kaplan and Yorke.

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