关于齐次马氏信源二元函数的一类偏差定理

A Class of Strong Deviation Theorems for Function of Two Variables for Homogeneous Markov Information Sourses

利用任意信源相对熵密度偏差的概念,使用分析的方法研究了齐次马氏信源的一类强偏差定理,得出了一个二元函数的一类强偏差定理和几个极限性质.

The notion of entropy density divergence of information is introduced. A class of strong deviation theorems of homogeneous Markov information sourses are studied by using the analytic approach, and a Strong Deviation Theorem of function of two variables,including several limit properties is obtained.