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Author Ć-Ilić, Dragana S. Cvetkovi
Source CiteSeerX
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Generalized Inverse ♦ Reverse Order Law ♦ New Condition ♦ Sufficient Condition ♦ Orthogonal Projection ♦ Am Subject Classification ♦ Complex Matrix ♦ Key Word ♦ Moore Penrose Inverse ♦ Penrose Equation ♦ Unique Matrix ♦ Null Space
Abstract Abstract. In this note, the reverse order laws for {1,3} and {1,4}-generalized inverses of matrices are considered. New necessary and sufficient conditions for (AB){1,3} ⊆ B{1,3} ·A{1,3} and (AB){1,4} ⊆ B{1,4} ·A{1,4} are presented. Key words. Generalized inverses, {1,3}-Generalized inverses, {1,4}-Generalized inverses, MPinverse, Reverse order law. AMS subject classifications. 15A09. 1. Results. Let A be a complex matrix. We denote by R(A), N(A), r(A) and nul(A) the range, the null space, the rank, and the nullity of a matrix A, respectively. By PM, we denote the orthogonal projection (P = P 2 = P ∗ ) on the subspace M. The Moore–Penrose inverse of A ∈ C n×m is the unique matrix A † ∈ C m×n satisfying the four Penrose equations in [10],
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