Characterization of Matrices Satisfying the Reverse Order Law for the Moore-Penrose Pseudoinverse
Abstract
We give a constructive characterization of matrices satisfying the reverse-order law for the Moore--Penrose pseudoinverse. In particular, for a given matrix A we construct another matrix B, of arbitrary compatible size and chosen rank, in terms of the right singular vectors of A, such that the reverse order law for AB is satisfied. Moreover, we show that any matrix satisfying this law comes from a similar construction. As a consequence, several equivalent conditions to B+ A+ being a pseudoinverse of AB are given, for example C(A*AB)=C(BB*A*) or B(AB)+A being an orthogonal projection. In addition, we parameterize all possible SVD decompositions of a fixed matrix and give Greville-like equivalent conditions for B+A+ being a \1,2\-,\1,2,3\- and \1,2,4\-inverse of AB, with a geometric insight in terms of the principal angles between C(A*) and C(B).
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.