Abstract
A topological Markov chain is the support of an ordinary firstorder Markov chain. We develop the concept of topological Markov field (TMF), which is the support of a Markov random field. Using this, we show that any one-dimensional (discrete-time, finite-alphabet) stationary Markov random field must be a stationary Markov chain, and we give a version of this result for continuous-time processes. We also give a general finite procedure for deciding if a given shift space is a TMF.
Original language | American English |
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Pages (from-to) | 227-242 |
Number of pages | 16 |
Journal | Proceedings of the American Mathematical Society |
Volume | 142 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2014 |
All Science Journal Classification (ASJC) codes
- Applied Mathematics
- General Mathematics