Results 11 to 20 of about 5,896,098 (374)

Characterizations of matrix equalities involving the sums and products of multiple matrices and their generalized inverse

open access: yesElectronic Research Archive, 2023
It is common knowledge that matrix equalities involving ordinary algebraic operations of inverses or generalized inverses of given matrices can be constructed arbitrarily from theoretical and applied points of view because of the noncommutativity of the ...
Yongge Tian
doaj   +1 more source

The Effect of Block-Matrix Interface of SRM with High Volumetric Block Proportion on Its Uniaxial Compressive Strength

open access: yesApplied Sciences, 2023
The soil–rock mixture (SRM), as a heterogeneous and discrete geomaterial, can be widely found in nature and may present difficult design and construction issues for structures within or on top of them.
Guojin Zhu, Yudong Ding, Yajun Cao
semanticscholar   +1 more source

A study of the equivalence of inference results in the contexts of true and misspecified multivariate general linear models

open access: yesAIMS Mathematics, 2023
In practical applications of regression models, we may meet with the situation where a true model is misspecified in some other forms due to certain unforeseeable reasons, so that estimation and statistical inference results obtained under the true and ...
Ruixia Yuan, Bo Jiang, Yongge Tian
doaj   +1 more source

Fredholm theory for demicompact linear relations

open access: yesApplied General Topology, 2022
We first attempt to determine conditions on a linear relation T such that μT becomes a demicompact linear relation for each μ ∈ [0,1)(see Theorems 2.4 and 2.5).
Aymen Ammar, Slim Fakhfakh, Aref Jeribi
doaj   +1 more source

On the Drazin inverse of anti-triangular block matrices

open access: yesElectronic Research Archive, 2022
Our aim is to present new expressions for the Drazin inverse of anti-triangular block matrices under some circumstances. Applying the established new formulae for anti-triangular block matrices, we derive explicit representations for the Drazin inverse ...
Daochang Zhang   +2 more
doaj   +1 more source

Algebraic Characterizations of Relationships between Different Linear Matrix Functions

open access: yesMathematics, 2023
Let f(X1,X2,…,Xk) be a matrix function over the field of complex numbers, where X1,X2,…,Xk are a family of matrices with variable entries. The purpose of this paper is to propose and investigate the relationships between certain linear matrix functions ...
Yongge Tian, Ruixia Yuan
doaj   +1 more source

The least squares Bisymmetric solution of quaternion matrix equation AXB=C

open access: yesAIMS Mathematics, 2021
In this paper, the idea of partitioning is used to solve quaternion least squares problem, we divide the quaternion Bisymmetric matrix into four blocks and study the relationship between the block matrices. Applying this relation, the real representation
Dong Wang, Ying Li, Wenxv Ding
doaj   +1 more source

Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark [PDF]

open access: yesPhysical Review A, 2020
The LINPACK benchmark reports the performance of a computer for solving a system of linear equations with dense random matrices. Although this task was not designed with a real application directly in mind, the LINPACK benchmark has been used to define ...
Yulong Dong, Lin Lin
semanticscholar   +1 more source

The Eigenvalue Distribution of Special 2-by-2 Block Matrix-Sequences with Applications to the Case of Symmetrized Toeplitz Structures [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2018
Given a Lebesgue integrable function $f$ over $[0,2\pi]$, we consider the sequence of matrices $\{Y_nT_n[f]\}_n$, where $T_n[f]$ is the $n$-by-$n$ Toeplitz matrix generated by $f$ and $Y_n$ is the flip permutation matrix, also called the anti-identity ...
Paola Ferrari   +4 more
semanticscholar   +1 more source

On Relationships between a Linear Matrix Equation and Its Four Reduced Equations

open access: yesAxioms, 2022
Given the linear matrix equation AXB=C, we partition it into the form A1X11B1+A1X12B2+A2X21B1+A2X22B2=C, and then pre- and post-multiply both sides of the equation by the four orthogonal projectors generated from the coefficient matrices A1, A1, B1, and ...
Bo Jiang, Yongge Tian, Ruixia Yuan
doaj   +1 more source

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