EconPapers    
Economics at your fingertips  
 

The Dynamic Behaviour of Non-Homogeneous Single-Unireducible Markov and Semi-Markov Chains

Guglielmo D'Amico (), Jacques Janssen () and Raimondo Manca ()
Additional contact information
Guglielmo D'Amico: Dipartimento di Scienze del Farmaco Università “G.D'Annunzio”
Jacques Janssen: Jacan EURIA & Université de Bretagne Occidentale
Raimondo Manca: Finanziarie ed Assicurative Università di Roma “La Sapienza”

A chapter in Networks, Topology and Dynamics, 2009, pp 195-211 from Springer

Abstract: Abstract In this paper single-unireducible Markov and semi-Markov chains are defined and their dynamic behaviour is analysed. The main results concern the asymptotic study of these processes. In fact it is proved that the topological structure of single-unireducibility represents a sufficient condition that guarantees the absorption after a sufficiently long period in the absorbing class for both Markov and semi-Markov chains. The probabilistic results are based on graph theory using relations between the graphs and transition matrices.

Keywords: Markov Chain; Transition Matrice; Circular Permutation; Reachability Matrix; Homogeneous Markov Chain (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-68409-1_10

Ordering information: This item can be ordered from
http://www.springer.com/9783540684091

DOI: 10.1007/978-3-540-68409-1_10

Access Statistics for this chapter

More chapters in Lecture Notes in Economics and Mathematical Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:lnechp:978-3-540-68409-1_10