Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-15T11:20:17.539Z Has data issue: false hasContentIssue false

Return times in nearly-completely decomposable stochastic processes

Published online by Cambridge University Press:  14 July 2016

G. Latouche
Affiliation:
Université Libre de Bruxelles
G. Louchard
Affiliation:
Université Libre de Bruxelles

Abstract

Consider a finite irreducible aperiodic Markov chain with nearly-completely decomposable stochastic matrix: i.e. a Markov chain for which the states can be grouped into disjoint aggregates, in such a way that the probabilities of transition between states of the same aggregate are large compared to the probabilities of transition between states belonging to different aggregates. Let Ω be a subset of one of the aggregates. Second-order approximations are determined for the first and second moments of the time to reach Ω and the return time to Ω.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1978 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Courtois, P. J. and Louchard, G. (1976) Approximation of eigencharacteristics in nearly-completely decomposable stochastic systems. Stoch. Proc. Appl. 4, 283296.CrossRefGoogle Scholar
[2] Kato, T. (1966) Perturbation Theory for Linear Operators. Springer-Verlag, Berlin.Google Scholar
[3] Latouche, G. and Louchard, G. (1977) Return times in nearly-completely decomposable stochastic processes. Report No. 45, Laboratoire d'informatique Théorique, Université Libre de Bruxelles.Google Scholar
[4] Louchard, G. (1966) Recurrence times and capacities in finite ergodic chains. Duke Math. J. 33, 1322.CrossRefGoogle Scholar
[5] Simon, H. A. and Ando, A. (1961) Aggregation of variables in dynamic systems. Econometrics 29, 111138.Google Scholar