• Title/Summary/Keyword: Drazin inverse

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REPRESENTATION OF BOUNDED LINEAR OPERATORS WITH EQUAL SPECTRAL PROJECTIONS AT ZERO

  • Zhang, Yun;Chen, Dong-Jun
    • Communications of the Korean Mathematical Society
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    • v.25 no.4
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    • pp.547-556
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    • 2010
  • In this paper, we present the reprentation of all operators B which are Drazin invertible and sharing the spectral projections at 0 with a given Drazin invertible operator A. Meanwhile, some related results for EP operators with closed range are obtained.

How to Characterize Equalities for the Generalized Inverse $A^{(2)}_{T,S}$ of a Matrix

  • LIU, YONGHUI
    • Kyungpook Mathematical Journal
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    • v.43 no.4
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    • pp.605-616
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    • 2003
  • In this paper, some rank equalities related to generalized inverses $A^{(2)}_{T,S}$ of a matrix are presented. As applications, a variety of rank equalities related to the M-P inverse, the Drazin inverse, the group inverse, the weighted M-P inverse, the Bott-Duffin inverse and the generalized Bott-Duffin inverse are established.

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THE DRAZIN INVERSES OF THE SUM OF TWO MATRICES AND BLOCK MATRIX

  • Shakoor, Abdul;Yang, Hu;Ali, Ilyas
    • Journal of applied mathematics & informatics
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    • v.31 no.3_4
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    • pp.343-352
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    • 2013
  • In this paper, we give a formula of $(P+Q)^D$ under the conditions $P^2Q+QPQ=0$ and $P^3Q=0$. Then applying it to give some results of block matrix $M=(^A_C^B_D)$ (A and D are square matrices) with generalized Schur complement is zero under some conditions. Finally, numerical examples are given to illustrate our results.

CONDENSED CRAMER RULE FOR COMPUTING A KIND OF RESTRICTED MATRIX EQUATION

  • Gu, Chao;Xu, Zhaoliang
    • Journal of applied mathematics & informatics
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    • v.26 no.5_6
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    • pp.1011-1020
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    • 2008
  • The problem of finding Cramer rule for solutions of some restricted linear equation Ax = b has been widely discussed. Recently Wang and Qiao consider the following more general problem AXB = D, $R(X){\subset}T$, $N(X){\supset}\tilde{S}$. They present the solution of above general restricted matrix equation by using generalized inverses and give an explicit expression for the elements of the solution matrix for the matrix equation. In this paper we re-consider the restricted matrix equation and give an equivalent matrix equation to it. Through the equivalent matrix equation, we derive condensed Cramer rule for above restricted matrix equation. As an application, condensed determinantal expressions for $A_{T,S}^{(2)}$ A and $AA_{T,S}^{(2)}$ are established. Based on above results, we present a method for computing the solution of a kind of restricted matrix equation.

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