Many Strong Deviation Theorems For Markov Chain Fields On A Tree

In recent years,the tree model has attracted a great deal of interest among scientists from various research fields such as physics,probability theory,information theory etc..Moreover,stochastic process indexed by a tree has become a hot topic in the field of the probability theory in recent years.The researh of the strong deviation theorem has held an important position in the development process of probability theory,and the strong deviation theorem is one of the central issues of the international probability theory.In this paper,through constructing non-negative martingales and applies Doob's martingale convergence theorem to the research of a.e.convergence,a class of strong deviation theorems for Markov chain fields on a special kind of non-homogeneous tree are given.This paper includes six chapters:The first chapter is introduction,introducing the researching purpose and meanings of this paper,and the work that existed.The second chapter is preparative knowledge.We introduce the concept of the tree and give the definition of a special kind of non-homogeneous tree.In the third chapter,we give a strong deviation theorem for m-ordered non-homogeneous Markov information source on a special kind of non-homogeneous tree.In the forth chapter,we give a class of strong deviation theorems for moving average of Markov chain fields on a special kind of non-homogeneous tree.In the fifth chapter,we give a class of strong limit theorems for countable non-homogeneous Markov chain on a special kind of non-homogeneous tree.In the last chapter,we sum up what we have done in this paper.