一类亚半正定矩阵的左右逆特征值问题

1．引言在工程技术中常常遇到这样一类逆特征值问题：要求在一个矩阵集合S中，找具有给定的部分右特征对（特征值及相应的特征向量）和给定的部分左特征对（特征值及相应的特征向量）的矩阵．文［2］，［3］讨论了S为。x。实矩阵集合的情形．文［4］－［7］对S为nxn实对称矩阵．对称正定矩阵，对称半正定矩阵集合的情形进行了讨论．文【川讨论了S为亚正定阵集合的情形．并提到了对于亚半正定矩阵的情形目下无人涉及，有待进一步研究．本文将对S为nxn亚半正定矩阵集合的情形进行讨论．给出了亚半正定矩阵的左右逆特征值问题有解的充要条件…     

复正定矩阵的张量积

本文给出了多个复正定矩阵的张量积仍为复正定矩阵的充要条件,推广了文[2]的主要结果.     

复亚正定矩阵的一些性质

复亚正定矩阵是正定Ｈｅｒｍｉｔｅ矩阵的推广,本文讨论了这一类矩阵张量积的性质,并将实对称矩阵的Ｓｃｈｕｒ定理、华罗庚定理和Ｍｉｎｋｏｗｓｋｉ不等式推广到较为广泛的复矩阵类．     

关于亚正定矩阵的一个充分条件

根据 Johnson给出的亚正定矩阵的定义 ,给出了一个关于亚正定矩阵的充分条件 .     

正定方阵的张量积

给出了正定方阵的合同根概念，并利用它，刻画了多个正定方阵的张量积仍为正定方阵的充要条件．     

次正定复矩阵的张量积

本文定义了次正定复矩阵的次合同根概念 ,得到了多个次正定复矩阵的张量积仍为次正定复矩阵的充要条件.     

次亚正定矩阵的次Lōwner偏序

本文研究了次亚正定矩阵子阵的次Lōwner偏序，利用次Lōwner偏序，获得了几个用低阶矩阵的次亚正定性判别高阶矩阵次亚正定性的充要条件．     

体上的矩阵方程AXA=B

设Ｆ和Ω分别表示一个对合反自同构的体，一个加强Ｐ除环，本文定义了Ω上的亚（半）正定矩阵，给出了矩阵方程ＡＸＡ＾＊＝Ｂ在Ｆ上有（斜）自共轭矩阵解及在Ω上有亚（半）正定矩阵解的充要条件及其解集的显式表示。     

非对称半正定矩阵的一些性质

非对称半正定矩阵的一些性质阳本傅（成都师范高等专科学校数学系６１１９３０）设Ａ是ｎ阶实矩阵（不一定对称），如果对任意实ｎ元向量Ｘ，均有Ｘ′ＡＸ０（＞０），就称Ａ为半正定矩阵（正定矩阵）．本文给出半正定矩阵的一种合同标准形，由此比较简捷地得出了半正定...     

一类正定矩阵的性质

本文讨论一类正定实方阵的一些性质和判别法，给出了两个正定实方阵的乘积仍为正定矩阵的条件．以及正定实方阵的一种分解。     

亚半正定阵左右逆特征值问题的进一步研究

１　引　言文［１］研究了亚半正定阵的左右逆特征值问题,它的更一般提法是问题Ｉ给定Ｘ、Ｚ使得其中Ｒｎ×ｍ表示全体ｎ×ｍ实阵的集合;即表示全体亚半正定阵集合［２］．文［１］得到了问题１有解的充要条件及解的通式,但从文［１］中主要定理给出的通式来看,子矩阵Ａ１３、Ａ１４及Ａ４３的表达式还没有得到,因此有必要对问题Ⅰ的通解作进一步的研究．本文将通过建立一个亚半正定阵的判定准则,圆满地解决以上问题． 为方便起见,本文用 及Ⅰ分别表示Ｒｎ×ｍ中秩为ｒ的矩阵集合、ｎ×正交矩阵集合及单位矩阵;而用　分别表示ｎ ×…     

Algebraic eigenspaces of nonnegative matrices

The Perron-Frobenius theory for square, irreducible, nonnegative matrices is generalized by studying the structure of the algebraic eigenspace of an arbitrary square nonnegative matrix corresponding to its spectral radius. We give a constructive proof that this subspace is spanned by a set of semipositive vectors and give a combinatorial characterization of both the index of the spectral radius and dimension of the algebraic eigenspace corresponding to the spectral radius. This involves a detailed study of the standard block triangular representation of nonnegative matrices by giving special attention to those blocks on the diagonal having the same spectral radius as the original matrix. We also show that the algebraic eigenspace corresponding to the spectral radius contains a semipositive vector having the largest set of positive coordinates among all vectors in this subspace.     

流形上矩阵方程AX=B的正定及半正定阵的反问题

文[1-5]中研究了对称、对称半正定及流形上的对称半正定的反问题,并说明了其应用背景.本文研究线性流形上的正定及半正定阵的反问题,说明了文[1-3]中的一些结果为本文的特例.     

New results about semi-positive matrices

Our purpose is to present a number of new facts about the structure of semipositive matrices, involving patterns, spectra and Jordon form, sums and products, and matrix equivalence, etc. Techniques used to obtain the results may be of independent interest. Examples include: any matrix with at least two columns is a sum, and any matrix with at least two rows, a product, of semipositive matrices. Any spectrum of a real matrix with at least 2 elements is the spectrum of a square semipositive matrix, and any real matrix, except for a negative scalar matrix, is similar to a semipositive matrix. M-matrices are generalized to the non-square case and sign patterns that require semipositivity are characterized.     

Equilibrants, semipositive matrices, calculation and scaling

For square, semipositive matrices A (Ax>0 for some x>0), two (nonnegative) equilibrants e(A) and E(A) are defined. Our primary goal is to develop theory from which each may be calculated. To this end, the collection of semipositive matrices is partitioned into three subclasses for each equilibrant, and a connection to those matrices that are scalable to doubly stochastic matrices is made. In the process a certain matrix/vector equation that is related to scalability of a matrix to one with line sums 1 is derived and discussed.     

Positive subdefinite matrices

The purpose of this paper is to summarize the known results on positive subdefinite matrices and to study more deeply some of their properties. In particular we contrast these matrices, characterizing quasiconvex quadratic forms, with positive semidefinite matrices, characterizing convex quadratic forms, to stress the loss due to the generalization.     

Semipositive matrices and their semipositive cones

The semipositive cone of \(A\in \mathbb {R}^{m\times n}, K_A = \{x\ge 0\,:\, Ax\ge 0\}\), is considered mainly under the assumption that for some \(x\in K_A, Ax>0\), namely, that A is a semipositive matrix. The duality of \(K_A\) is studied and it is shown that \(K_A\) is a proper polyhedral cone. The relation among semipositivity cones of two matrices is examined via generalized inverse positivity. Perturbations and intervals of semipositive matrices are discussed. Connections with certain matrix classes pertinent to linear complementarity theory are also studied.

     

Characterizations of minimal semipositivity

A real m×n matrix A is said to be semipositive if there is a nonnegative vector λ such that Ax exists and is componentwise positive. A is said to be minimally semipositive if it is semipositive and no proper m×p submatrix of A is semipositive. Minimal semipositivity is characterized in this paper and is related to rectangular monotonicity and weak r-monotonicity. P-matrices and nonnegative matrices will also be considered.