Abstract
In a number of important applications the asymptotic behaviour as r → ∞ of one of the
and its dependence on p is of interest, where {H k ,k = 1, 2, ...} is a set of (n × n) matrices satisfying H k ≥0. We shall write H k ={h ij (k)}, i, j=1, ...;, n. The kinds of asymptotic behaviour of interest are weak ergodicity and strong ergodicity, and a commonly used tool is a contraction coefficient (coefficient of ergodicity). We shall develop the general theory in this chapter. The topic of inhomogeneous products of (row) stochastic matrices has special features, and is for the most part deferred to Chapter 4.
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© 1981 Springer Science+Business Media New York
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Seneta, E. (1981). Inhomogeneous Products of Non-negative Matrices. In: Non-negative Matrices and Markov Chains. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-32792-4_3
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DOI: https://doi.org/10.1007/0-387-32792-4_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-29765-1
Online ISBN: 978-0-387-32792-1
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