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An L0(F,R)-valued Function's Intermediate Value Theorem and Its Applications to Random Uniform Convexity
作者姓名:Tie Xin GUO  Xiao Lin ZENG
作者单位:[1]LMIB and School of Mathematics and Systems Science, Beihang University, Beijing 100191, P. R. China [2]College of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing 400067, P. R. China
基金项目:Supported by National Natural Science Foundation of China (Grant No. 10871016)
摘    要:Let (Ω , F , P ) be a probability space and L0 ( F, R ) the algebra of equivalence classes of real- valued random variables on (Ω , F , P ). When L0 ( F, R ) is endowed with the topology of convergence in probability, we prove an intermediate value theorem for a continuous local function from L0 ( F, R ) to L0 ( F, R ). As applications of this theorem, we first give several useful expressions for modulus of random convexity, then we prove that a complete random normed module ( S,|| · ||) is random uniformly convex iff Lp ( S ) is uniformly convex for each fixed positive number p such that 1 p + ∞ .

关 键 词:一致凸函数  随机变量  中值定理  应用  概率空间  概率收敛  介值定理  连续函数
收稿时间:2010-07-07
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