Ergodic theorems for sequences of infinite stochastic matrices

Author:

Paz A.,Reichaw M.

Abstract

In the theory of finite state, discrete time, non-homogeneous Markov chains, different notions of ergodicity have been introduced in the literature. These notions are concerned with the long-run behaviour of chains and with their tendency to get some stability properties after a sufficiently long period of time. The aim of this paper is the study of non-homogeneous Markov chains with a denumerable number of states. It will be shown that some theorems which are valid in the finite case are also valid for chains with a denumerable number of states as well. Moreover, a new notion of stability is introduced and it is shown to be satisfied for some chains. Although the paper is self-contained some familiarity with the theory of finite state non-homogeneous Markov chains is desired. Without any attempt of completeness we list for the interested reader the papers: (1–3, 8, 9).

Publisher

Cambridge University Press (CUP)

Subject

General Mathematics

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A new approach to the stability analysis of continuous-time distributed consensus algorithms;Neural Networks;2013-10

2. Ergodicity Coefficients Defined by Vector Norms;SIAM Journal on Matrix Analysis and Applications;2011-01

3. Consensus in Networks of Multiagents with Switching Topologies Modeled as Adapted Stochastic Processes;SIAM Journal on Control and Optimization;2011-01

4. On some properties of contracting matrices;Linear Algebra and its Applications;2008-06

5. Probabilistic automata;Journal of Soviet Mathematics;1980-03

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