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Weakly Convex and Concave Random Maps with Position Dependent Probabilities 

Authors: Wael Bahsoun a; Pawel Goacutera a
Affiliation:   a Department of Mathematics and Statistics, Concordia University, Montreal, Quebec, Canada
DOI: 10.1081/SAP-120024700
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 21, Issue 5 January 2003 , pages 983 - 994
Formats available: HTML (English) : PDF (English)
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Abstract

A random map is a discrete-time dynamical system in which one of a number of transformations is randomly selected and applied in each iteration of the process. In this paper, we study random maps with position dependent probabilities on the interval. Sufficient conditions for the existence of absolutely continuous invariant measures for weakly convex and concave random maps with position dependent probabilities is the main result of this note.
Keywords: Random map; Absolutely continuous invariant measure; Frobenius-Perron operator
1991 Mathematics Subject Classification: Primary 37A05; 37E05
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