December 2011 Additive functionals for discrete-time Markov chains with applications to birth-death processes
Yuanyuan Liu
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J. Appl. Probab. 48(4): 925-937 (December 2011). DOI: 10.1239/jap/1324046010

Abstract

In this paper we are interested in bounding or calculating the additive functionals of the first return time on a set for discrete-time Markov chains on a countable state space, which is motivated by investigating ergodic theory and central limit theorems. To do so, we introduce the theory of the minimal nonnegative solution. This theory combined with some other techniques is proved useful for investigating the additive functionals. This method is used to study the functionals for discrete-time birth-death processes, and the polynomial convergence and a central limit theorem are derived.

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Yuanyuan Liu. "Additive functionals for discrete-time Markov chains with applications to birth-death processes." J. Appl. Probab. 48 (4) 925 - 937, December 2011. https://doi.org/10.1239/jap/1324046010

Information

Published: December 2011
First available in Project Euclid: 16 December 2011

zbMATH: 1231.60080
MathSciNet: MR2896659
Digital Object Identifier: 10.1239/jap/1324046010

Subjects:
Primary: 60J10 , 60J55

Keywords: additive functional , birth-death process , central limit theorem , ergodicity

Rights: Copyright © 2011 Applied Probability Trust

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Vol.48 • No. 4 • December 2011
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