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环上矩阵的加权Moore-Penrose逆 被引量:2

Weighted Moore-Penrose Inverse of Matrix over Rings
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摘要 研究环上矩阵的加权Moore-Penrose逆,给出一般含幺环上加权Moore-Penrose逆存在的充要条件,并相应地得到一系列推论,从而推广了以往文献的相应结果。 The weighted Moore-Penrose inverse of a matrix over a ring is studied.The necessary and sufficient condition for existence of the weighted Moore-Penrose inverse is given in this paper and some corouaries are obtained.This extends the reference's results concerned.
出处 《河南科技大学学报(自然科学版)》 CAS 北大核心 2009年第2期78-81,共4页 Journal of Henan University of Science And Technology:Natural Science
基金 国家自然科学基金项目(10771162) 河南科技大学青年基金项目(2007QN033)
关键词 加权MOORE-PENROSE逆 对合 正则矩阵 Weighted Moore-Penrose inverse Involution Regular matrix
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参考文献8

  • 1Bhaskara Rao K P S. The Theory of Generalized Inverses Over Commutative Rings[ M ]. New York:Taylor&Francis,2002.
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二级参考文献9

  • 1K Manjunathe,R.Bapat.Generalized Moore-Penrose inverse[J]. Lin.Alg.Appl,1992,165:59-69.?A
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共引文献22

同被引文献14

  • 1袁仕芳,廖安平,雷渊.矩阵方程AXB+CYD=E的对称极小范数最小二乘解[J].计算数学,2007,29(2):203-216. 被引量:36
  • 2Bhaskara R K P S. The Theory of Generalized Inverses over Commutative Rings [ M ]. New York:Taylor & Francis,2002: 135 - 139.
  • 3Yu Yaoming, Wang Guorong. The Generalized Inverse A2r.s over Commutative Rings [ J ]. Linear and Multilinear Algebra, 2005,53(6) :1 - 10.
  • 4Pati S. Moore-Penrose Inverse of Matrices on Idempotent Semirings [ J ]. Siam J Matrix Anal App1,2000,22 (2) :617 -626.
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  • 6Bapat R B, Jain S K, Pati S. Weighted Moore-Penrose Inverse of a Boolean Matrix[ J]. Linear Algebra and Its Applications, 1997,255:267 - 279.
  • 7Manjunatha P K, Bapat R B. The Generalized Moore-Penrose Inverse[ J]. Linear Algebra and Its Applications, 1992,165 : 59 - 69.
  • 8Wang Guorong, Wei Yimin, Qiao Sanzheng. Generalized Inverses : Theory and Computations [ M]. Beijing: Science Press, 2004:69 - 75.
  • 9Chu K E.Singular Value and Generalized Singular Value Decompositions and the Solution of Linear Matrix Equations[J].Linear Algebra Appl,1987,88:83-98.
  • 10Xu G P,Wei M S,Zheng D S.On Solutions of Matrix Equation AXB+CYD=F[J].Linear Algebra Appl,1998,279:93-109.

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