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基于g期望的二元Jensen不等式
引用本文:徐玉红,刘玉春,高杰.基于g期望的二元Jensen不等式[J].黑龙江科技学院学报,2007,17(3):224-226,230.
作者姓名:徐玉红  刘玉春  高杰
作者单位:中国矿业大学,理学院,江苏,徐州,221008
摘    要:利用Girsanov变换,证明了当g是线性生成元时,g期望等价于经典的数学期望,此时,g期望关于一般二元凹函数的Jensen不等式成立,然后采用生成元表示定理,得到了若g期望关于一般二元凹函数的Jensen不等式成立,则生成元是线性的;最后证明了当且仅当g是次线性生成元时,g期望关于二元单调递增凹函数的Jensen不等式成立.

关 键 词:倒向随机微分方程  g期望  Jensen不等式  数学期望  Jensen  不等式  g  expectation  function  bivariate  单调递增  次线性  表示定理  凹函数  生成元  变换  Girsanov  利用
文章编号:1671-0118(2007)03-0224-03
修稿时间:2007-03-16

Jensen's inequality of bivariate function for g expectation
XU Yuhong,LIU Yuchun,GAO Jie.Jensen''''s inequality of bivariate function for g expectation[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(3):224-226,230.
Authors:XU Yuhong  LIU Yuchun  GAO Jie
Institution:College of Science, China University of Mining and Technology, Xuzhou 221008, China
Abstract:Using Girsanov transformation,the paper presents an attempt to prove that g expectation is equal to the classical expectation when g is a linear generator,thus Jensen's inequality of general bivariate concave function for g expectation holds.Then the paper,by exploring the representation theorem for generators,leads to conclusion that g is linear when Jensen's inequality of general bivariate concave function holds;it is proved that Jensen's inequality of bivariate increasing concave function holds if and only if g is a sublinear generator.
Keywords:backward stochastic differential equation(BSDE)  g expectation  Jensen inequality
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