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An introduction to Markov chains

A N D E R S TO LV E RA N I N T R O D U C T I O N TOM A R KOV C H A I N SL E C T U R E N OT E S F O R S TO C H A S T I C P R O C E S S E S2 Anders TolverDepartment of Mathematical SciencesUniversity of CopenhagenUniversitetsparken5DK-2100 Copenhagen , Denmarkemail: printing, November2016 Copyright Anders TolverISBN:978-87-7078-952-3 PrefaceThese lecture notes have been developed for the courseStochastic Pro-cessesat Department of Mathematical Sciences, University of Copen-hagen during the teaching years2010-2016. The material covers as-pects of the theory for time-homogeneous Markov chains in discreteand continuous time on finite or countable state back bone of this work is the collection of examples and exer-cises in Chapters2and3. It is my hope that all mathematical resultsand tools required to solve the exercises are contained in Chapters2and3and in Appendix B. The manuscript was never intended toprovide complete mathematical proofs of all the main results sincethese may be found elsewhere in the literature.

ample of a Markov chain on a countably infinite state space, but first we want to discuss what kind of restrictions are put on a model by assuming that it is a Markov chain. Within the class of stochastic processes one could say that Markov chains are characterised by …

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