共轭广义对角占优矩阵的特征值分布

文献[1]和[2]分别给出了复方阵A在准严格对角占优和共轭准严格对角占优(由定义知它包含了严格对角占优类和共轭严格占优类)条件下的特征值分布。[6]对此作了进一步的研究。这些结果对矩阵特征值理论和特殊矩阵理论有着重要的意义。 本文导出了复方阵A在广义对角占优和共轭广义对角占优条件下的特征值分布。由于广     

矩阵对角占优性的推广及应用

§1.引言设 A=(a_(ij))_(n×n)为一复矩阵,若有一正向量 d=(d_1,d_2,…,d_n)~T 使得d_i|a_(ij)|≥sum from j≠1 d_j|a_(ij)|,(1)对每一 i∈N={1,2,…,n}都成立,则称 A 为广义对角占优矩阵,记为 A∈D_0~*;如若(1)式中每一不等号都是严格的,则称 A 为广义严格对角占优矩阵,记为 A∈D~*.特别地,当 d=(1,1,…,1)~T 时,A∈D_0~*及 A∈D~*即是通常的对角占优与严格对角占优,分别记作 A∈D_0及 A∈D.利用矩阵的对角占优性质讨论其特征值分布是矩阵论中的重要课题,文献[5]—[10]给出了这方面的重要结果.n 阶实方阵 A 称为 M-矩阵,如果 A具有形式:A=sI-B,s>ρ(B),其中 B 为 n 阶非负方阵,ρ(B)表 B 之谱半径,利用广义严格对角占优的概念,文[1]给出了 M-矩阵的等价表征:若 n 阶实方阵     

非奇异H-矩阵一类新的实用性判据

1引言在计算数学、数学物理、控制论与矩阵论中,非奇异H-矩阵是有着重要应用的一类特殊矩阵,有关其数值判定也一直是矩阵计算的重要课题,不少学者对此进行了研究,得到了许多结果,如文[1]-[10]都给出一些比较实用的判别方法．本文另提出了一些新的实用性判别,进一步改进了文[1]的主要结果．用Cn×n表示n阶复矩阵集,设A=(aij)∈Cn×n,记,若|aii|≥Λi(i=1,2,…,n)(本文用Λi表示Λi(A)),则称A为对角占优矩阵;如果每个不等号都为严格成立,则称A为严格对角占优矩阵,记A∈D;若存在正对角阵X,使得AX为严格对角占优矩阵,则称A为广义严格对角占优阵,记A∈D．设A∈Zn×n={(aij)∈Cn×n|aij≤0,i≠j;i,j∈N},若A=sI-B,s>ρ(B),其中B为非负方阵,ρ(B)表示B的谱半径,则称A为非奇异M-矩阵．若A∈Cn×n的比较矩阵M(A)=(mij)为非奇异M-矩阵,则称A为非奇异H-矩阵,其中     

非奇异H矩阵的充分条件

1 引言 设A=(a_(ij))∈C~(n,n),R_i(A)=sum from j≠i to(|a_(ij)|,i,j∈N={1,2,…,n}。若|a_(ij)|≥R_i(A),i∈N,则称A为对角占优矩阵,记为A∈D_0;若不等式中每个不等号都是严格的,则称A为严格对角占优矩阵,记为A∈D。若存在正对角矩阵X,使得AX∈D,则称A为广义严格对角占优矩阵,记为A∈D。     

也谈广义对角占优阵的特征值的分布

设A=(a_(ij))_(n×n)为n阶复矩阵,记 σ_i=sum from j=1,j≠i to n(|a_(ij)|,i=l,2,…,n)。若|a_(ij)|>σ_i(i=1,2,…n),则称A为(按行)严格对角占优阵,记为A∈D,若|a_(ii)|·|a_(jj)|>σ_iσ_j(i≠j,i,j=1,2,…,n)则称A为严格对角乘积占优阵,记为A∈D_p(在〔1〕中此类矩阵称为广义对角占优阵,并记为GD)。若存在非奇对角阵Q=diag(q_l,…,q_n)使Q~(-1)AQ∈D,则称A为准严格对角占优阵,记为A∈D′(见〔2〕)。若存在非奇对角阵Q=diag(q_1,…,q_n)使Q~(-1)AQ∈D_p,则称A为准严格对角乘积占优阵。记为A∈D′_p。     

广义严格对角占优矩阵的迭代判别方法

正1引言设A=(a_(ij))∈C~(n×n),N={1,2,…,n}.记R_i(A)= sum |a_(ij)| from j≠i (i∈N),又记N_1=N_1(A)={i∈N:0|a_(ii)|≤R_i(A)},N_2=N_2(A)={i∈N:|a_(ii)R_i(A)}.定义1设A=(a_(ij))∈C~(n×n),如果|a_(ii)|R_i(A)(i∈N),则称A为严格对角占优矩阵.严格对角占优矩阵的集合记为D.如果存在n阶正对角矩阵D使得AD∈D,则称A为广义严格对角占优矩阵.广义严格对角占优矩阵的集合记为D.     

广义严格对角占优矩阵的判定

１引言设Ａ＝（ａｉｊ）Ｃｎｘｎ,若对每一ｉＮ＝｛１,２,…,ｎ｝都有则称Ａ为对角占优矩阵,记为ＡＤυ;若（１）式中每一不等号都是严格的,则称Ａ为严格对角占优矩阵,记为ＡＤ．若存在正对角阵Ｘ使ＡＸＤυ（或ＡＸＤ）,则称Ａ为广义（或广义严格）对角占优矩阵;记为ＡＤΥ（或ＡＤ）．广义严格对角占优矩阵的判定在计算数学和矩阵论的研究中占有重要的地位,文［１］和［２］分别定义了α－对角占优矩阵和双对角占优矩阵,讨论了广义严格对角占优矩阵的判定及性质,本文引进了α双对角占优矩阵的概念,得到了广义严格对角占优矩…     

某些矩阵的行列式与特征值的界

<正> 则称A为共轭对角占优的. 易知,对角占优的矩阵,不一定是共轭对角占优的.反之亦然. 对于对角占优矩阵的行列式的下界,[1]得到如下的结果: 引理1.设矩阵A满足条件(1),且令     

论几类广义严格对角占优矩阵

1引言 设A=（a_η）∈Cm~(3n),若存在正对角阵D.使得AD为严格对角占优矩阵，则A称为广义严格对角占优矩阵，记作A∈SGDDM.     

实部连对角占优阵和共轭连对角占优阵的特征值分布

几设A一(a‘,)…〔C”’“,‘己刀‘一馨Ia‘,l,‘成‘(n·我们引厂厂述定义: j中落 定义1若}Rea‘,日Rea,,})刀‘刀,,:’,j==1,,,‘制,则称A为实部连对角占优阵,记为月任sD。(R);若{Rea“1 1 Rea,,l>刀‘刀,,‘,j=石,i尧j,则称A为实部严格连对角占优麟三,i己为A〔SD(R);若A为既约矩l钧屯,IRea,‘l!Rea,,})刀‘刁,,f,j=1,n,i封,且对任一i,不能全部为等号,则称A为既约实部连对角占优阵,记为刁〔51(R). 仿照【3〕,分别记严格对角占优、共辆严格对角占优矩阵的集合为D、G;仿照【2〕,分别记实部对角占优、实部严格对角占优、既约实部…     

Commutative Quaternion Matrices

In this study, we introduce the concept of commutative quaternions and commutative quaternion matrices. Firstly, we give some properties of commutative quaternions and their fundamental matrices. After that we investigate commutative quaternion matrices using properties of complex matrices. Then we define the complex adjoint matrix of commutative quaternion matrices and give some of their properties.     

A characterization of the nearly sign central matrices and its minimallity

The sign central matrices were characterized by Ando and Brualdi. And, the nearly sign central matrices were characterized by Lee and Cheon. In this paper, we give another characterization of nearly sign central matrices. Also, we introduce the nearly minimal sign central matrices and study the properties of nearly minimal sign central matrices.     

Self-dual codes from orbit matrices and quotient matrices of combinatorial designs

In this paper we give constructions of self-orthogonal and self-dual codes, with respect to certain scalar products, with the help of orbit matrices of block designs and quotient matrices of symmetric (group) divisible designs (SGDDs) with the dual property. First we describe constructions from block designs and their extended orbit matrices, where the orbit matrices are induced by the action of an automorphism group of the design. Further, we give some further constructions of self-dual codes from symmetric block designs and their orbit matrices. Moreover, in a similar way as for symmetric designs, we give constructions of self-dual codes from SGDDs with the dual property and their quotient matrices.     

正则环上矩阵分解

利用幂等矩阵和单边可逆阵,给出了正则环上具有群逆的矩阵结构,并证明了具有奇数特征的单边单位正则环上的矩阵都可分解为两个单边可逆矩阵和形式。     

加强p除环上自共轭矩阵的几个定理

本文将实对称矩阵和复Hermiitian环矩阵,以及更特殊的正定与半正定矩阵的一些较为深入的定理推广到加强p除上矩阵中来.     

Generalized Leibniz functional matrices and factorizations of some well-known matrices

In this paper, we introduce the generalized Leibniz functional matrices and study some algebraic properties of such matrices. To demonstrate applications of these properties, we derive several novel factorization forms of some well-known matrices, such as the complete symmetric polynomial matrix and the elementary symmetric polynomial matrix. In addition, by applying factorizations of the generalized Leibniz functional matrices, we redevelop the known results of factorizations of Stirling matrices of the first and second kind and the generalized Pascal matrix.     

Constructing self-orthogonal and Hermitian self-orthogonal codes via weighing matrices and orbit matrices

We define the notion of an orbit matrix with respect to standard weighing matrices, and with respect to types of weighing matrices with entries in a finite field. In the latter case we primarily restrict our attention the fields of order 2, 3 and 4. We construct self-orthogonal and Hermitian self-orthogonal linear codes over finite fields from these types of weighing matrices and their orbit matrices respectively. We demonstrate that this approach applies to several combinatorial structures such as Hadamard matrices and balanced generalized weighing matrices. As a case study we construct self-orthogonal codes from some weighing matrices belonging to some well known infinite families, such as the Paley conference matrices, and weighing matrices constructed from ternary periodic Golay pairs.     

Hessenberg matrix for sums of Hermitian positive definite matrices and weighted shifts

In this work, we introduce an algebraic operation between bounded Hessenberg matrices and we analyze some of its properties. We call this operation m-sum and we obtain an expression for it that involves the Cholesky factorization of the corresponding Hermitian positive definite matrices associated with the Hessenberg components.This work extends a method to obtain the Hessenberg matrix of the sum of measures from the Hessenberg matrices of the individual measures, introduced recently by the authors for subnormal matrices, to matrices which are not necessarily subnormal.Moreover, we give some examples and we obtain the explicit formula for the m-sum of a weighted shift. In particular, we construct an interesting example: a subnormal Hessenberg matrix obtained as the m-sum of two not subnormal Hessenberg matrices.     

整环上几类矩阵空间的保持伴随矩阵线性算子

本文刻画了整环上的全矩阵空间、对称矩阵空间和上三角矩阵空间上保持伴随矩阵的线性算子的结构。     

L-structured quaternion matrices and quaternion linear matrix equations

This paper focuses on L-structured quaternion matrices. L-structured real matrices, conditions for the existence of solutions and the general solution of linear matrix equations were studied in the paper [Magnus JR. L-structured matrices and linear matrix equations, Linear Multilinear Algebra 1983;14:67–88]. In this paper, we present a theoretical study extending L-structured real matrices to L-structured quaternion matrices, and introduce some L-structured quaternion matrices. Based on them, we then discuss their applications in quaternion matrix equations.