Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5772981 | Linear Algebra and its Applications | 2017 | 18 Pages |
Abstract
For a matrix A, let Aâ denote its Moore-Penrose inverse. A matrix M is called a multiplicative perturbation of TâCmÃn if M=ETFâ for some EâCmÃm and FâCnÃn. Based on the alternative expression for M as M=(ETTâ )â
Tâ
(FTâ T)â, the generalized triple reverse order law for the Moore-Penrose inverse is obtained asMâ =((FTâ T)â)â â
(YYâ TZZâ )LRâ1â â
(ETTâ )â , where (YYâ TZZâ )LRâ1â is the weighted Moore-Penrose inverse for certain matrices Y,Z,L and R associated to the triple (T,E,F). Furthermore, it is proved that this weighted Moore-Penrose inverse in the resulting expression for Mâ can be really replaced with Tâ if(ETTâ )â ETTâ â
T=Tâ
(FTâ T)â (FTâ T). In the special case that rank(M)=rank(T) or M is a weak perturbation of T, a simplified version of Mâ , as well as MMâ and Mâ M, is also derived.
Related Topics
Physical Sciences and Engineering
Mathematics
Algebra and Number Theory
Authors
Qingxiang Xu, Chuanning Song, Guorong Wang,