Difference between revisions of "Markov chain, recurrent"
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+ | |valign="top"|{{Ref|F}}|| W. Feller, [[Feller, "An introduction to probability theory and its applications"|"An introduction to probability theory and its applications"]], '''1''' , Wiley (1966) | ||
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+ | |valign="top"|{{Ref|Fr}}|| D. Freeman, "Markov chains" , Holden-Day (1975) | ||
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+ | |valign="top"|{{Ref|I}}|| M. Iosifescu, "Finite Markov processes and their applications" , Wiley (1980) {{MR|0587116}} {{ZBL|0436.60001}} | ||
+ | |- | ||
+ | |valign="top"|{{Ref|KS}}|| J.G. Kemeny, J.L. Snell, "Finite Markov chains" , v. Nostrand (1960) {{MR|1531032}} {{MR|0115196}} {{ZBL|0089.13704}} | ||
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+ | |valign="top"|{{Ref|KSK}}|| J.G. Kemeny, J.L. Snell, A.W. Knapp, "Denumerable Markov chains" , Springer (1976) {{MR|0407981}} {{ZBL|0348.60090}} | ||
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+ | |valign="top"|{{Ref|Re}}|| D. Revuz, "Markov chains" , North-Holland (1975) {{MR|0415773}} {{ZBL|0332.60045}} | ||
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+ | |valign="top"|{{Ref|Ro}}|| V.I. Romanovsky, "Discrete Markov chains" , Wolters-Noordhoff (1970) (Translated from Russian) {{MR|0266312}} {{ZBL|0201.20002}} | ||
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+ | |valign="top"|{{Ref|Se}}|| E. Seneta, "Non-negative matrices and Markov chains" , Springer (1981) {{MR|2209438}} {{ZBL|0471.60001}} | ||
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+ | |valign="top"|{{Ref|Sp}}|| V. Spitzer, "Principles of random walk" , v. Nostrand (1964) {{MR|0171290}} {{ZBL|0119.34304}} | ||
+ | |} |
Revision as of 06:26, 14 May 2012
2020 Mathematics Subject Classification: Primary: 60J10 [MSN][ZBL]
A Markov chain in which a random trajectory , starting at any state , returns to that state with probability 1. In terms of the transition probabilities , recurrence of a discrete-time Markov chain is equivalent to the divergence for any of the series
In a recurrent Markov chain a trajectory , , , returns infinitely often to the state with probability 1. In a recurrent Markov chain there are no inessential states and the essential states decompose into recurrent classes. An example of a recurrent Markov chain is the symmetric random walk on the integer lattice on the line or plane. In the symmetric walk on the line a particle moves from position to with probabilities ; in the symmetric walk on the plane a particle moves from to one of the four points , with probabilities . In these examples a particle, starting the walk at an arbitrary point, returns to that point with probability 1. The symmetric walk on the integer lattice in the three-dimensional space, when the probability of transition from to a neighbouring point , , is equal to , is not recurrent. In this case the probability of return of the particle to its initial point is approximately 0.35.
References
[F] | W. Feller, "An introduction to probability theory and its applications", 1 , Wiley (1966) |
Comments
References
[Fr] | D. Freeman, "Markov chains" , Holden-Day (1975) |
[I] | M. Iosifescu, "Finite Markov processes and their applications" , Wiley (1980) MR0587116 Zbl 0436.60001 |
[KS] | J.G. Kemeny, J.L. Snell, "Finite Markov chains" , v. Nostrand (1960) MR1531032 MR0115196 Zbl 0089.13704 |
[KSK] | J.G. Kemeny, J.L. Snell, A.W. Knapp, "Denumerable Markov chains" , Springer (1976) MR0407981 Zbl 0348.60090 |
[Re] | D. Revuz, "Markov chains" , North-Holland (1975) MR0415773 Zbl 0332.60045 |
[Ro] | V.I. Romanovsky, "Discrete Markov chains" , Wolters-Noordhoff (1970) (Translated from Russian) MR0266312 Zbl 0201.20002 |
[Se] | E. Seneta, "Non-negative matrices and Markov chains" , Springer (1981) MR2209438 Zbl 0471.60001 |
[Sp] | V. Spitzer, "Principles of random walk" , v. Nostrand (1964) MR0171290 Zbl 0119.34304 |
Markov chain, recurrent. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Markov_chain,_recurrent&oldid=26567