节点文献
任意随机多元函数序列的一类强偏差定理
A CLASS OF STRONG DEVIATION THEOREMS FOR ARBITRARY STOCHASTIC MULTIVARIATE FUNCTION SEQUENCE
【摘要】 本文通过概率空间上的任意测度与另一任意测度相比较,研究了任意随机多元函数序列普遍成立的一类强偏差定理.利用网微分法与分析运算法,获得了若干任意信源的Shannon-Mcmillan随机逼近定理,并将已有的关于随机多元函数序列及离散信源的结果加以推广.
【Abstract】 In this article,a class of small-deviation theorems for the multivariate function sequence of arbitrary random variables is discussed by comparison between the measure P and the measure Q.By using differentiation on a net and analytical methods,some Shannon-Mcmillan approximation theorems for arbitrary information source are obtained and some known results for the random multivariate function sequence and the discrete information source are extended.
【关键词】 Shannon-Mcmillan逼近定理;
小偏差定理;
任意信源;
多元函数;
相对熵密度;
【Key words】 Shannon-Mcmillan approximation theorem; small deviation theorems; arbitrary information source; multivariate function; relative entropy density;
【Key words】 Shannon-Mcmillan approximation theorem; small deviation theorems; arbitrary information source; multivariate function; relative entropy density;
【基金】 江苏省高校自然科学基础研究项目(07KJD110048;09KJD110002)
- 【文献出处】 数学杂志 ,Journal of Mathematics , 编辑部邮箱 ,2010年01期
- 【分类号】O211.4
- 【被引频次】1
- 【下载频次】77