Weakly Convex and Concave Random Maps with Position Dependent Probabilities
Authors:
Wael Bahsoun a;
Pawel G
ra a
ra 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:
Stochastic Analysis and Applications,
Volume
21,
Issue
5
January
2003
, pages 983
- 994
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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 |
| view references (10) : view citations |

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