Abstract. In this paper a representation is given for the Drazin inverse of a 2 × 2 operator matrix, extending to Banach spaces results of Hartwig, Li and Wei [SIAM J. Matrix Anal. Appl., 27 (2006) pp. 757-771]. Also, formulae are derived for the Drazin inverse of an operator matrix M under some new conditions.
Abstract. In this paper a representation is given for the Drazin inverse of a 2 × 2 operator matrix, extending to Banach spaces results of Hartwig, Li and Wei [SIAM J. Matrix Anal. Appl., 27 (2006) pp. 757-771]. Also, formulae are derived for the Drazin inverse of an operator matrix M under some new conditions.
“…Recently, some formulas for the Drazin inverse of a sum of two matrices (or two bounded operators in a Banach space) under some conditions were given (see [4,5,7,8,9,10,11,14] and references therein). Let us remark that the group inverse…”
Section: Introduction Throughout This Paper Cmentioning
Abstract. In this paper, some formulas are found for the group inverse of aP +bQ, where P and Q are two nonzero group invertible complex matrices satisfying certain conditions and a, b nonzero complex numbers.
“…Again, it was extended for morphisms on arbitrary additive categories by Chen et al in [8]. More results on the Drazin inverse or the generalized Drazin inverse can also be found in [3,5,6,8,9,11,12,15]. In particular we must cite [13]: in this paper, the authors, under the commutative condition of AB = BA (when A and B are Drazin invertible linear operators in Banach spaces), gave explicit representations of (A + B) D in term of A, A D , B, and B D .…”
Section: §1 Introduction and Previous Resultsmentioning
Abstract. In this paper, we investigate additive results of the Drazin inverse of elements in a ring R. Under the condition ab = ba, we show that a + b is Drazin invertible if and only ifis Drazin invertible, where the superscript D means the Drazin inverse. Furthermore we find an expression of (a + b) D . As an application we give some new representations for the Drazin inverse of a 2 × 2 block matrix.
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