The ergodic or long-run average cost control problem for a partially observed ÿnite-state Markov chain is studied via the associated fully observed separated control problem for the nonlinear ÿlter. Dynamic programming equations for the latter are derived, leading to existence and characterization o
Ergodic decomposition of Markov chains
✍ Scribed by César E. Villarreal
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 829 KB
- Volume
- 283
- Category
- Article
- ISSN
- 0024-3795
No coin nor oath required. For personal study only.
✦ Synopsis
We explicitly find the spectral decomposition, when it exists, of a Markov operator p. :fl ~ El using the asymptotic periodicity of the associated infinite Markov matrix. We give a simple condition under which an infinite Markov matrix is asymptotically periodic. We also determine the set of P'-invariant distributions in t? i and the set of P'-ergodic distributions.
📜 SIMILAR VOLUMES
We provide a generalization of Hoe ding's inequality to partial sums that are derived from a uniformly ergodic Markov chain. Our exponential inequality on the deviation of these sums from their expectation is particularly useful in situations where we require uniform control on the constants appeari