Abstract
A pair (X, Y) of Markov processes on a metric space is called a Markov coupling if X and Y have the same transition probabilities and (X, Y) is a Markov process. We say that a coupling is "shy" if inf t ≥ 0 dist(X t, Y t) ≥ 0 with positive probability. We investigate whether shy couplings exist for several classes of Markov processes.
Original language | English |
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Pages (from-to) | 345-377 |
Number of pages | 33 |
Journal | Probability Theory and Related Fields |
Volume | 137 |
Issue number | 3-4 |
DOIs | |
Publication status | Published - Mar 2007 |
Externally published | Yes |
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Benjamini, I., Burdzy, K., & Chen, Z. Q. (2007). Shy couplings. Probability Theory and Related Fields, 137(3-4), 345-377. https://doi.org/10.1007/s00440-006-0008-3