Multiplicative perturbations of matrices and the generalized triple reverse order law for the Moore–Penrose inverse
Multiplicative perturbations of matrices and the generalized triple reverse order law for the Moore–Penrose inverse
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DOI:
10.1016/j.laa.2017.05.026
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发表时间:
2017-10
影响因子:
1.1
通讯作者:
Qingxiang Xu;Chuanning Song;Guo-rong Wang
中科院分区:
文献类型:
--
作者:
Qingxiang Xu;Chuanning Song;Guo-rong Wang
For a matrix A, let A† denote its Moore–Penrose inverse. A matrix M is called a multiplicative perturbation of T∈ C m× n if M= E T F⁎ for some E∈ C m× m and F∈ C n× n. Based on the alternative expression for M as M=(E T T†)⋅ T⋅(F T† T)⁎, the generalized triple reverse order law for the Moore–Penrose inverse is obtained as M†=((F T† T)⁎)†⋅(Y Y† T Z Z†) L R− 1†⋅(E T T†)†, where (Y Y† T Z Z†) L R− 1† 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 M† can be really replaced with T† if (E T T†)† E T T†⋅ T= T⋅(F T† T)†(F T† T). In the special case that rank (M)= rank (T) or M is a weak perturbation of T, a simplified version of M†, as well as M M† and M† M, is also derived.