Closed-form formulas for calculating the max-min ranks of a triple matrix product composed by generalized inverses

被引:6
|
作者
Tian, Yongge [1 ,2 ]
Jiang, Bo [3 ]
机构
[1] Shanghai Business Sch, Shanghai, Peoples R China
[2] Cent Univ Finance & Econ, Beijing, Peoples R China
[3] Shandong Inst Business & Technol, Yantai, Peoples R China
来源
COMPUTATIONAL & APPLIED MATHEMATICS | 2018年 / 37卷 / 05期
关键词
Matrix product; Generalized inverse; Matrix-valued function; Rank; Equality; Inequality; 15A03; 15A09; 15A24; ABSORPTION LAWS;
D O I
10.1007/s40314-018-0668-5
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In matrix theory and its applications, people often meet with various matrix expressions or matrix equalities that involve inverses of nonsingular matrices or generalized inverses of singular matrices. One of the fundamental research problems about these matrix expressions is to determine their singularity and nonsingularity, or alternatively, to determine upper and lower bounds of the ranks of the matrix expressions. Matrix rank formulas were introduced in the development of generalized inverse theory in 1970s, and many fundamental closed-form formulas for calculating ranks of matrices and their generalized inverses were established. In this paper, we consider the problem of determining the maximum and minimum ranks of a triple matrix product inverses of P and Q, respectively. Some applications of these max-min rank formulas are also discussed.
引用
收藏
页码:5876 / 5919
页数:44
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