The Asymptotic Behaviour of a General Finite Nonhomogeneous Markov Chain (the Decomposition-separation Theorem)

نویسنده

  • ISAAC SONIN
چکیده

The Decomposition-Separation Theorem generalizing the classical KolmogorovDoeblin results about the decomposition of finite homogeneous Markov chains to the nonhomogeneous case is presented. The ground-breaking result in this direction was given in the work of David Blackwell in 1945. The relation of this theorem with other problems in probability theory and Markov Decision Processes is discussed. Dedicated to David Blackwell in deep respect for his many wonderful mathematical

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Decomposition-Separation Theorem for Finite Nonhomogeneous Markov Chains and Related Problems

Let M be a finite set, P be a stochastic matrix and U = {(Zn)} be the family of all finite Markov chains (MC) (Zn) defined by M, P , and all possible initial distributions. The behavior of a MC (Zn) is a classical result of Probability Theory derived in the 30’s by A. Kolmogorov and W. Doeblin. If a stochastic matrix P is replaced by a sequence of stochastic matrices (Pn) and transitions at mom...

متن کامل

On $L_1$-weak ergodicity of nonhomogeneous continuous-time Markov‎ ‎processes

‎In the present paper we investigate the $L_1$-weak ergodicity of‎ ‎nonhomogeneous continuous-time Markov processes with general state‎ ‎spaces‎. ‎We provide a necessary and sufficient condition for such‎ ‎processes to satisfy the $L_1$-weak ergodicity‎. ‎Moreover‎, ‎we apply‎ ‎the obtained results to establish $L_1$-weak ergodicity of quadratic‎ ‎stochastic processes‎.

متن کامل

A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming

We prove a central limit theorem for a class of additive processes that arise naturally in the theory of finite horizon Markov decision problems. The main theorem generalizes a classic result of Dobrushin for temporally nonhomogeneous Markov chains, and the principal innovation is that here the summands are permitted to depend on both the current state and a bounded number of future states of t...

متن کامل

Products of Stochastic Matrices and Applications

This paper deals with aspects of the limit behaviour of products of nonidentical finite or countable stochastic matrices (P). Applications n are given to nonhomogeneous Markov models as positive chains, some classes of finite chains considered by Doeblin and weakly ergodic chains.

متن کامل

Relative Entropy Rate between a Markov Chain and Its Corresponding Hidden Markov Chain

 In this paper we study the relative entropy rate between a homogeneous Markov chain and a hidden Markov chain defined by observing the output of a discrete stochastic channel whose input is the finite state space homogeneous stationary Markov chain. For this purpose, we obtain the relative entropy between two finite subsequences of above mentioned chains with the help of the definition of...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001