%0 Journal Article
%T 伪概自首随机过程分解及应用<br>COMPOSITION OF PSEUDO AUTOMORPHIC STOCHASTIC PROCESS AND APPLICATIONS
%A 作者
%A 周辉
%A 周宗福
%A 乔宗敏
%J 数学杂志
%D 2017
%X 在较弱Lipschitz条件下，本文建立伪概自守随机过程分解定理，该定理推广了已知结果.利用所建立理论的性质，本文获得了一类随机微分方程的伪概自守弱解的存在唯一性条件.<br>In this paper, a composition theorem for pseudo-almost automorphic stochastic process is established under a weaker Lipschitz condition. The composition theorem is more general than some known results. Using these properties, we obtain the existence and uniqueness of pseudoalmost automorphic mild solutions for a class of stochastic differential equations
%K 伪概自守 分解 均方 弱解&lt
%K br&gt
%K pseudo-almost automorphic composition square-mean mild solution
%U http://sxzz.whu.edu.cn/sxzz/ch/reader/view_abstract.aspx?file_no=20170604&flag=1