Title :
The Asymptotic Equipartition Property for Nonhomogeneous Markov Chains Indexed by a Homogeneous Tree
Author :
Yang, Weiguo ; Ye, Zhongxing
Author_Institution :
Jiangsu Univ., Zhenjiang
Abstract :
In this correspondence, we first establish a strong limit theorem for countable nonhomogeneous Markov chains indexed by a homogeneous tree. As corollaries, we obtain some strong limit theorems for frequencies of occurrence of states and ordered couple of states for these Markov chains. Finally, we prove the strong law of large numbers and the asymptotic equipartition property (AEP) for finite nonhomogeneous Markov chains indexed by a homogeneous tree.
Keywords :
Markov processes; information theory; trees (mathematics); asymptotic equipartition property; homogeneous tree; nonhomogeneous Markov chains; strong limit theorem; Frequency; Joining processes; Markov random fields; Mathematics; Random variables; State-space methods; Stochastic processes; Asymptotic equipartition property; homogeneous tree; nonhomogeneous Markov chains;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.903134