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Chapter 7: Markov Chains Theory > 7.2 Discrete-Time Markov Chains

7.2 Discrete-Time Markov Chains

The first study on MCs dates back to 1907, when the Russian mathematician Andrei Andreyevich Markov defined and investigated the properties of this specific type of random process [1]. Since then, the literature on the subject has kept growing in size and depth, producing a number of interesting results that find application in several different fields. In particular, a branch of MC theory has originated the so-called queueing theory, which will be presented in Chapter 8.

7.2.1 Definition of Discrete-Time MC

Let img, with img, be a discrete-time rp that takes values in a countable state space img. For ease of notation, in the following we will use img in place of img to denote the random process at the imgth time instant. Furthermore, unless otherwise stated, the state space img will be labeled here by the non-negative integers, that is to say, img. Hence, img is also discrete valued.


  

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