Results 21 to 30 of about 103 (100)

On mixed‐type reverse‐order laws for the Moore‐Penrose inverse of a matrix product

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 2004, Issue 58, Page 3103-3116, 2004., 2004
Some mixed‐type reverse‐order laws for the Moore‐Penrose inverse of a matrix product are established. Necessary and sufficient conditions for these laws to hold are found by the matrix rank method. Some applications and extensions of these reverse‐order laws to the weighted Moore‐Penrose inverse are also given.
Yongge Tian
wiley   +1 more source

Characteristic polynomial, determinant and inverse of a Fibonacci-Sylvester-Kac matrix

open access: yesSpecial Matrices, 2021
In this paper, we consider a new Sylvester-Kac matrix, i.e., Fibonacci-Sylvester-Kac matrix. We discuss the eigenvalues, eigenvectors and characteristic polynomial of this matrix in two categories based on whether the Fibonacci-Sylvester-Kac matrix order
Jiang Zhaolin, Zheng Yanpeng, Li Tianzi
doaj   +1 more source

On the relation between Moore′s and Penrose′s conditions

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 30, Issue 8, Page 505-509, 2002., 2002
Moore (1920) defined the reciprocal of any matrix over the complex field by three conditions, but the beauty of the definition was not realized until Penrose (1955) defined the same inverse using four conditions. The reciprocal is now often called the Moore-Penrose inverse, and has been widely used in various areas.
Gaoxiong Gan
wiley   +1 more source

Matrix Analysis for Continuous-Time Markov Chains

open access: yesSpecial Matrices, 2021
Continuous-time Markov chains have transition matrices that vary continuously in time. Classical theory of nonnegative matrices, M-matrices and matrix exponentials is used in the literature to study their dynamics, probability distributions and other ...
Le Hung V., Tsatsomeros M. J.
doaj   +1 more source

A note on computing the generalized inverse A T,S (2) of a matrix A

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 31, Issue 8, Page 497-507, 2002., 2002
The generalized inverse A T,S (2) of a matrix A is a {2}‐inverse of A with the prescribed range T and null space S. A representation for the generalized inverse A T,S (2) has been recently developed with the condition σ (GA| T) ⊂ (0, ∞), where G is a matrix with R(G) = T andN(G) = S. In this note, we remove the above condition. Three types of iterative
Xiezhang Li, Yimin Wei
wiley   +1 more source

On decompositions of estimators under a general linear model with partial parameter restrictions

open access: yesOpen Mathematics, 2017
A general linear model can be given in certain multiple partitioned forms, and there exist submodels associated with the given full model. In this situation, we can make statistical inferences from the full model and submodels, respectively.
Jiang Bo, Tian Yongge, Zhang Xuan
doaj   +1 more source

W-MPD–N-DMP-solutions of constrained quaternion matrix equations

open access: yesSpecial Matrices, 2023
The solvability of several new constrained quaternion matrix equations is investigated, and their unique solutions are presented in terms of the weighted MPD inverse and weighted DMP inverse of suitable matrices.
Kyrchei Ivan I.   +2 more
doaj   +1 more source

M-matrix and inverse M-matrix extensions

open access: yesSpecial Matrices, 2020
A class of matrices that simultaneously generalizes the M-matrices and the inverse M-matrices is brought forward and its properties are reviewed. It is interesting to see how this class bridges the properties of the matrices it generalizes and provides a
McDonald J.J.   +6 more
doaj   +1 more source

On matrix convexity of the Moore‐Penrose inverse

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 19, Issue 4, Page 707-710, 1996., 1995
Matrix convexity of the Moore‐Penrose inverse was considered in the recent literature. Here we give some converse inequalities as well as further generalizations.
B. Mond, J. E. Pečarić
wiley   +1 more source

An algebraic model for the propagation of errors in matrix calculus

open access: yesSpecial Matrices, 2020
We assume that every element of a matrix has a small, individual error, and model it by an external number, which is the sum of a nonstandard real number and a neutrix, the latter being a convex (external) additive group.
Van Tran Nam, van den Berg Imme
doaj   +1 more source

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