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弱收敛在勒贝格积分中存在性证明及其具体应用
引用本文:吴志勇.弱收敛在勒贝格积分中存在性证明及其具体应用[J].华侨大学学报(自然科学版),2017,0(2):271-275.
作者姓名:吴志勇
作者单位:遵义师范学院 继续教育学院, 贵州 遵义 563002
摘    要:为了证明勒贝格积分是否具有弱收敛性,基于勒贝格相关理论,得到勒贝格积分存在弱收敛的充要条件为{fk}在Lp空间中有界;同时,得出需满足{fk}在测度E范围内的积分极限值等于其积分值的条件.最后,将勒贝格积分应用在概率统计方面,并采用Lebesgue-Stieltjes积分分别表示随机变量及数学期望.

关 键 词:勒贝格积分  弱收敛  测度  概率统计  随机变量  Lebesgue-Stieltjes积分

Existence Proof of Weak Convergence in Lebesgue Integral and Its Application
WU Zhiyong.Existence Proof of Weak Convergence in Lebesgue Integral and Its Application[J].Journal of Huaqiao University(Natural Science),2017,0(2):271-275.
Authors:WU Zhiyong
Institution:College of Extended Education, Zunyi Normal College, Zunyi 563002, China
Abstract:In order to prove the Lebesgue integral is of weak convergence, basing on Lebesgue theory, we prove the necessary and sufficient conditions for the existence of the weak convergence of Lebesgue integral sequence {fk} are that the sequence are bounded in Lp space; at the same time, it must satisfy that the integral limit value of {fk} in the measure range of E is equal to the integral value. Finally, by the application of Lebesgue integral to probability statistics, we use Lebesgue-Stieltjes integral to represent the random variables and mathematical expectation respectively.
Keywords:Lebesgue integral  weak convergence  measure  statistical probability  random variable  Lebesgue-Stieltjes integral
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