On constrained generalized inverses of matrices and their properties

被引:6
作者
Takane, Yoshio
Tian, Yongge
Yanai, Haruo
机构
[1] McGill Univ, Dept Psychol, Montreal, PQ H3A 1B1, Canada
[2] Shanghai Univ Finance & Econ, Sch Econ, Shanghai 200433, Peoples R China
[3] St Lukes Coll Nursing, Chuo Ku, Tokyo, Japan
关键词
linear matrix expression; moore-Penrose inverse; constrained generalized inverses; matrix equation; projector; idempotent matrix; rank equalities; general linear model; weighted least-squares estimator;
D O I
10.1007/s10463-006-0075-3
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 matrix G is called a generalized inverse (g-invserse) of matrix A if AGA = A and is denoted by G = A(-). Constrained g-inverses of A are defined through some matrix expressions like E(AE)(-), (FA)F- and E(FAE)F-. In this paper, we derive a variety of properties of these constrained g-inverses by making use of the matrix rank method. As applications, we give some results on g-inverses of block matrices, and weighted least-squares estimators for the general linear model.
引用
收藏
页码:807 / 820
页数:14
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