• Title/Summary/Keyword: Generalized inverse matrix

Search Result 63, Processing Time 0.026 seconds

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

  • LIU, YONGHUI
    • Kyungpook Mathematical Journal
    • /
    • v.43 no.4
    • /
    • pp.605-616
    • /
    • 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.

  • PDF

NONNEGATIVE INTEGRAL MATRICES HAVING GENERALIZED INVERSES

  • Kang, Kyung-Tae;Beasley, LeRoy B.;Encinas, Luis Hernandez;Song, Seok-Zun
    • Communications of the Korean Mathematical Society
    • /
    • v.29 no.2
    • /
    • pp.227-237
    • /
    • 2014
  • For an $m{\times}n$ nonnegative integral matrix A, a generalized inverse of A is an $n{\times}m$ nonnegative integral matrix G satisfying AGA = A. In this paper, we characterize nonnegative integral matrices having generalized inverses using the structure of nonnegative integral idempotent matrices. We also define a space decomposition of a nonnegative integral matrix, and prove that a nonnegative integral matrix has a generalized inverse if and only if it has a space decomposition. Using this decomposition, we characterize nonnegative integral matrices having reflexive generalized inverses. And we obtain conditions to have various types of generalized inverses.

EXPLICIT MINIMUM POLYNOMIAL, EIGENVECTOR AND INVERSE FORMULA OF DOUBLY LESLIE MATRIX

  • WANICHARPICHAT, WIWAT
    • Journal of applied mathematics & informatics
    • /
    • v.33 no.3_4
    • /
    • pp.247-260
    • /
    • 2015
  • The special form of Schur complement is extended to have a Schur's formula to obtains the explicit formula of determinant, inverse, and eigenvector formula of the doubly Leslie matrix which is the generalized forms of the Leslie matrix. It is also a generalized form of the doubly companion matrix, and the companion matrix, respectively. The doubly Leslie matrix is a nonderogatory matrix.

THE GENERALIZED WEIGHTED MOORE-PENROSE INVERSE

  • Sheng, Xingping;Chen, Guoliang
    • Journal of applied mathematics & informatics
    • /
    • v.25 no.1_2
    • /
    • pp.407-413
    • /
    • 2007
  • In this paper, we definite a generalized weighted Moore-Penrose inverse $A^{+}_{M,N}$ of a given matrix A, and give the necessary and sufficient conditions for its existence. We also prove its uniqueness and give a representation of it. In the end we point out this generalized inverse is also a prescribed rang T and null space S of {2}-(or outer) inverse of A.

FORWARD ORDER LAW FOR THE GENERALIZED INVERSES OF MULTIPLE MATRIX PRODUCT

  • Xiong, Zhipin;Zheng, Bing
    • Journal of applied mathematics & informatics
    • /
    • v.25 no.1_2
    • /
    • pp.415-424
    • /
    • 2007
  • The generalized inverses have many important applications in the aspects of theoretic research and numerical computations and therefore they were studied by many authors. In this paper we get some necessary and sufficient conditions of the forward order law for {1}-inverse of multiple matrices products $A\;=\;A_1A_2{\cdots}A_n$ by using the maximal rank of generalized Schur complement.

Spatial Resolution Improvement of landsat TM Images Using a SPOT PAN Image Data Based on the New Generalized Inverse Matrix Method (새로운 일반화 역행렬법에 의한 SPOT PAN 화상 데이터를 이용한 Landsat TM 화상이 공간해상도 개선)

  • 서용수;이건일
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.31B no.8
    • /
    • pp.147-159
    • /
    • 1994
  • The performance of the improvement method of spatial resolution for satellite images based on the generalized inverse matrix is superior to the conventional methods. But, this method calculates the coefficient values for extracting the spatial information from the relation between a small pixel and large pixels. Accordingly it has the problem of remaining the blocky patterns at the result image. In this paper, a new generalized inverse matrix method is proposed which is different in the calculation method of coefficient values for extracting the spatial information. In this proposed metod, it calculates the coefficient values for extracting the spatial information from the relation between a small pixel and small pixels. Consequently it can improve the spatial resolution more efficiently without remaining the blocky patterns at the result image. The effectiveness of the proposed method is varified by simulation experiments with real TM image data.

  • PDF

The G-Drazin Inverse of an Operator Matrix over Banach Spaces

  • Farzaneh Tayebi;Nahid Ashrafi;Rahman Bahmani;Marjan Sheibani Abdolyousefi
    • Kyungpook Mathematical Journal
    • /
    • v.64 no.2
    • /
    • pp.205-218
    • /
    • 2024
  • Let 𝒜 be a Banach algebra. An element a ∈ 𝒜 has generalized Drazin inverse if there exists b ∈ 𝒜 such that b = bab, ab = ba, a - a2b ∈ 𝒜qnil. New additive results for the generalized Drazin inverse of an operator over a Banach space are presented. we extend the main results of a paper of Shakoor, Yang and Ali from 2013 and of Wang, Huang and Chen from 2017. Appling these results to 2×2 operator matrices we also generalize results of a paper of Deng, Cvetković-Ilić and Wei from 2010.

COMPUTING GENERALIZED INVERSES OF A RATIONAL MATRIX AND APPLICATIONS

  • Stanimirovic, Predrag S.;Karampetakis, N. P.;Tasic, Milan B.
    • Journal of applied mathematics & informatics
    • /
    • v.24 no.1_2
    • /
    • pp.81-94
    • /
    • 2007
  • In this paper we investigate symbolic implementation of two modifications of the Leverrier-Faddeev algorithm, which are applicable in computation of the Moore-Penrose and the Drazin inverse of rational matrices. We introduce an algorithm for computation of the Drazin inverse of rational matrices. This algorithm represents an extension of the papers [11] and [14]. and a continuation of the papers [15, 16]. The symbolic implementation of these algorithms in the package MATHEMATICA is developed. A few matrix equations are solved by means of the Drazin inverse and the Moore-Penrose inverse of rational matrices.