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On Markov chains induced by partitioned transition probability matricesPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
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PrimeFaces.cw("AccordionPanel","widget_formSmash_responsibleOrgs",{id:"formSmash:responsibleOrgs",widgetVar:"widget_formSmash_responsibleOrgs",multiple:true}); 2009 (English)Report (Other academic)
##### Abstract [en]

##### Place, publisher, year, edition, pages

Linköping: Linköping University Electronic Press, 2009.
##### Series

LiTH-MAT-R, ISSN 0348-2960 ; 2009:07
##### National Category

Mathematics
##### Identifiers

URN: urn:nbn:se:liu:diva-19841ISRN: LiTH-MAT-R-2009/07--SEOAI: oai:DiVA.org:liu-19841DiVA: diva2:229383
#####

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Available from: 2009-08-12 Created: 2009-08-12 Last updated: 2016-07-08Bibliographically approved

Let *S* be a denumerable state space and let *P* be a transition probability matrix on *S*. If a denumerable set *M* of nonnegative matrices is such that the sum of the matrices is equal to *P*, then we call *M* a *partition* of *P*.

Let *K* denote the set of probability vectors on *S*. With every partition *M* of *P* we can associate a transition probability function **P** _{ M } on *K* defined in such a way that if *p* ∈ *K* and *M* ∈ *M* are such that ‖*pM*‖ > 0, then, with probability ‖*pM*‖, the vector *p* is transferred to the vector *pM*/‖*pM*‖. Here ‖·‖ denotes the *l* _{1}-norm.

In this paper we investigate the convergence in distribution for Markov chains generated by transition probability functions induced by partitions of transition probability matrices. The main motivation for this investigation is the application of the convergence results obtained to filtering processes of partially observed Markov chains with denumerable state space.

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