Title of article :
The general common Hermitian nonnegative-definite solution to the matrix equations AXA∗=BB∗ and CXC∗=DD∗ with applications in statistics
Author/Authors :
Zhang، نويسنده , , Xian، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2005
Pages :
10
From page :
257
To page :
266
Abstract :
We deduce a necessary and sufficient condition for the matrix equations AXA∗=BB∗ and CXC∗=DD∗ to have a common Hermitian nonnegative-definite solution and a representation of the general common Hermitian nonnegative-definite solution to these two equations when they have such common solutions. Thereby, we solve a statistical problem which is concerned in testing linear hypotheses about regression coefficients in the multivariate linear model. This paper is a revision of Young et al. (J. Multivariate Anal. 68 (1999) 165) whose mistake was pointed out in (Linear Algebra Appl. 321 (2000) 123).
Keywords :
Linear hypothesis , Hermitian (symmetric) nonnegative-definite solution , Multivariate linear model , Hermitian (symmetric) positive-definite solution , Matrix equation , column space , Kernel space , Moore–Penrose generalized inverse
Journal title :
Journal of Multivariate Analysis
Serial Year :
2005
Journal title :
Journal of Multivariate Analysis
Record number :
1558134
Link To Document :
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