The Lukacs-Olkin-Rubin theorem without invariance of the "quotient"

被引:22
作者
Bobecka, K [1 ]
Wesolowski, J [1 ]
机构
[1] Warsaw Univ Technol, Fac Math & Informat Sci, PL-00661 Warsaw, Poland
关键词
Wishart distribution; positive definite symmetric matrices; independence; random matrices; matrix variate functions; functional equations;
D O I
10.4064/sm152-2-4
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The Lukacs theorem is one of the most brilliant results in the area of characterizations of probability distributions. First, because it gives a deep insight into the nature of independence properties of the gamma distribution; second, because it uses beautiful and non-trivial mathematics. Originally it was proved for probability distributions concentrated on (0, infinity). In 1962 Olkin and Rubin extended it to matrix variate distributions. Since that time it has been believed that the fundamental reason such an extension is possible, is the assumed property of invariance of the distribution of the "quotient" (properly defined for matrices). The main result of this paper is that the matrix variate Lukacs theorem holds without any invariance assumption for the "quotient". The argument is based on solutions of some functional equations in matrix variate real functions, which seem to be of independent interest. The proofs use techniques of differential calculus in the cone of positive definite symmetric matrices.
引用
收藏
页码:147 / 160
页数:14
相关论文
共 21 条
[1]  
BOBECKA K, 2001, IN PRESS METRIKA
[2]  
BOBECKA K, 2001, IN PRESS J APPL STAT
[3]   CHARACTERIZATIONS OF SOME DISTRIBUTIONS BY CONDITIONAL MOMENTS [J].
BOLGER, EM ;
HARKNESS, WL .
ANNALS OF MATHEMATICAL STATISTICS, 1965, 36 (02) :703-705
[4]  
Casalis M, 1996, ANN STAT, V24, P763
[5]  
Faraut J., 1994, Analysis on symmetric cones
[6]  
HALL WJ, 1969, SANKHYA SER A, V31, P385
[7]  
Huang WJ, 1997, SANKHYA SER A, V59, P28
[8]  
KANAPPAN P, 1993, ACTA MATH HUNG, V61, P203
[9]  
Letac G, 1998, ANN STAT, V26, P573
[10]  
Letac G, 2000, ANN PROBAB, V28, P1371