Analyticity of iterates of random non-expansive maps



Advances in Applied Probability

Analyticity of iterates of random non-expansive maps

François Baccelli and Dohy Hong

Source: Adv. in Appl. Probab. Volume 32, Number 1 (2000), 193-220.

Abstract

This paper focuses on the analyticity of the limiting behavior of a class of dynamical systems defined by iteration of non-expansive random operators. The analyticity is understood with respect to the parameters which govern the law of the operators. The proofs are based on contraction with respect to certain projective semi-norms. Several examples are considered, including Lyapunov exponents associated with products of random matrices both in the conventional algebra, and in the (max, +) semi-field, and Lyapunov exponents associated with non-linear dynamical systems arising in stochastic control. For the class of reducible operators (defined in the paper), we also address the issue of analyticity of the expectation of functionals of the limiting behavior, and connect this with contraction properties with respect to the supremum norm. We give several applications to queueing theory.

Primary Subjects: 47H09, 32D05, 60B99, 34D05
Secondary Subjects: 26E05, 47H40, 34D08, 28A18
Keywords: Contraction; non-expansiveness; analyticity; vectorial recurrence relation; Lyapunov exponents; asymptotic mean value

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1013540030
Digital Object Identifier: doi:10.1239/aap/1013540030
Mathematical Reviews number (MathSciNet): MR1765163
Zentralblatt MATH identifier: 0987.37047


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