The Forward Order Law for Weighted Moore–Penrose Inverse of Multiple Matrix Products

The forward order law for generalized inverses has potential applications in numerical linear algebra, control theory, and statistics. This topic has attracted considerable attention. In this article, we present a necessary and sufficient condition for the forward order law (A1A2⋯An)Mn+1,M1†=(A1)M2,M1†(A2)M3,M2†⋯(An)Mn+1,Mn† by using the rank equalities of some generalized Schur complements. The topic is relevant and timely, and the results generalize existing work on unweighted and two-product cases.

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Publication Details

Journal
Mathematics
Published
2026-09-28
DOI
https://doi.org/10.3390/math14193517
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

The Forward Order Law for Weighted Moore–Penrose Inverse of Multiple Matrix Products

Zhiping Xiong, Yingying Qin, Ziyang Pan
Mathematics
Matrix Theory and Algorithms
article

The Forward Order Law for Weighted Moore–Penrose Inverse of Multiple Matrix Products

Zhiping Xiong, Yingying Qin, Ziyang Pan
article en

Abstract

The forward order law for generalized inverses has potential applications in numerical linear algebra, control theory, and statistics. This topic has attracted considerable attention. In this article, we present a necessary and sufficient condition for the forward order law (A1A2⋯An)Mn+1,M1†=(A1)M2,M1†(A2)M3,M2†⋯(An)Mn+1,Mn† by using the rank equalities of some generalized Schur complements. The topic is relevant and timely, and the results generalize existing work on unweighted and two-product cases.

MathematicsVol. 14(19)
Wuyi University (CN), Wuyi University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Matrix Theory and Algorithms
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