The determinant of the Malliavin matrix and the determinant of the covariance matrix for multiple integrals

被引:0
|
作者
Tudor, Ciprian A. [1 ,2 ]
机构
[1] Univ Lille 1, Lab Paul Painleve, F-59655 Villeneuve Dascq, France
[2] Acad Econ Studies, Bucharest, Romania
关键词
multiple stochastic integrals; Wiener chaos; Malliavin matrix; covariance matrix; existence of density;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
A well-known problem in Malliavin calculus concerns the relation between the determinant of the Malliavin matrix of a random vector and the determinant of its covariance matrix. We give an explicit relation between these two determinants for couples of random vectors of multiple integrals. In particular, if the multiple integrals are of the same order and this order is at most 4, we prove that two random variables in the same Wiener chaos either admit a joint density, either are proportional and that the result is not true for random variables in Wiener chaoses of different orders.
引用
收藏
页码:681 / 692
页数:12
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