The Nearest Bisymmetric Solutions of Linear Matrix Equations

The necessary and sufficient conditions for the existence of and the expressions for the bisymmetric solutions of the matrix equations (Ⅰ)A1X1B1 A2X2B2 ^… AkXkBk=D,(Ⅱ)A1XB1 A2XB2 … AkXBk=D and (Ⅲ) (A1XB1,A2XB2,…,AkXBk)=(D1,D2,…,Dk) are derived by using Kronecker product and Moore-Penrose generalized inverse of matrices. In addition, in corresponding solution set of the matrix equations, the explicit expression of the nearest matrix to a given matrix in the Frobenius norm is given. Numerical methods and numerical experiments of finding the neaxest solutions axe also provided.     

An inverse eigenvalue problem and a matrix approximation problem for symmetric skew-hamiltonian matrices

Based on the theory of inverse eigenvalue problem, a correction of an approximate model is discussed, which can be formulated as NX=XΛ, where X and Λ are given identified modal and eigenvalues matrices, respectively. The solvability conditions for a symmetric skew-Hamiltonian matrix N are established and an explicit expression of the solutions is derived. For any estimated matrix C of the analytical model, the best approximation matrix to minimize the Frobenius norm of C − N is provided and some numerical results are presented. A perturbation analysis of the solution is also performed, which has scarcely appeared in existing literatures. Supported by the National Natural Science Foundation of China(10571012, 10771022), the Beijing Natural Science Foundation (1062005) and the Beijing Educational Committee Foundation (KM200411232006, KM200611232010).     

The inverse eigenvalue problem for symmetric quasi anti-bidiagonal matrices

In this paper we construct the symmetric quasi anti-bidiagonal matrix that its eigenvalues are given, and show that the problem is also equivalent to the inverse eigenvalue problem for a certain symmetric tridiagonal matrix which has the same eigenvalues. Not only elements of the tridiagonal matrix come from quasi anti-bidiagonal matrix, but also the places of elements exchange based on some conditions.     

Nonnegative realization of spectra having negative real parts

The nonnegative inverse eigenvalue problem (NIEP) is the problem of determining necessary and sufficient conditions for a list of complex numbers σ to be the spectrum of a nonnegative matrix. In this paper the problem is completely solved in the case when all numbers in the given list σ except for one (the Perron eigenvalue) have real parts smaller than or equal to zero.     

AN INVERSE EIGENVALUE PROBLEM FOR JACOBI MATRICES

Let T1,n be an n x n unreduced symmetric tridiagonal matrix with eigenvaluesand is an (n - 1) x (n - 1) submatrix by deleting the kth row and kth column, k = 1, 2,be the eigenvalues of T1,k andbe the eigenvalues of Tk+1,nA new inverse eigenvalues problem has put forward as follows: How do we construct anunreduced symmetric tridiagonal matrix T1,n, if we only know the spectral data: theeigenvalues of T1,n, the eigenvalues of Ti,k-1 and the eigenvalues of Tk+1,n?Namely if we only know the data: A1, A2, An,how do we find the matrix T1,n? A necessary and sufficient condition and an algorithm ofsolving such problem, are given in this paper.     

AN INVERSE EIGENVALUE PROBLEM FOR JACOBI MATRICES

In this paper, we discuss an inverse eigenvalue problem for constructing a 2n × 2n Jacobi matrix T such that its 2n eigenvalues are given distinct real values and its leading principal submatrix of order n is a given Jacobi matrix. A new sufficient and necessary condition for the solvability of the above problem is given in this paper. Furthermore, we present a new algorithm and give some numerical results.     

Linear parameterized inverse eigenvalue problem of bisymmetric matrices

In this paper, we consider the linear parameterized inverse eigenvalue problem of bisymmetric matrices which is described as follows:     

关于正定矩阵的子式阵的正定性

研究正定矩阵的子矩阵,利用合同标准形分别给出了复正定矩阵的子式阵为复正定矩阵和实正定矩阵的子式阵为实正定矩阵的充分必要条件,其结果简单而实用.     

正定矩阵的子式阵仍是正定矩阵的一个充要条件

文[2]证明了实对称正定矩阵的子式阵仍然是实对称正定矩阵,文[3]给出了一般的正定矩阵的的概念,本文利用标准型给出了一般正定矩阵的子式阵仍然是正定矩阵的充要条件．     

一种求非负不可约三对角矩阵最大特征值的方法

就非负不可约三对角矩阵,给出了一种求最大特征值的方法,关键是求迭代因子g的新方法,且证明了此迭代因子大于文献[2]中的迭代因子(r+3d)/(r+2d),从而减少了迭代次数,节约了运算时间.     

非负不可约矩阵Perron根新的下界序列

Estimate bounds for the Perron root of a nonnegative matrix are important in theory of nonnegative matrices. It is more practical when the bounds are expressed as an easily calculated function in elements of matrices. For the Perron root of nonnegative irreducible matrices, three sequences of lower bounds are presented by means of constructing shifted matrices, whose convergence is studied. The comparisons of the sequences with known ones are supplemented with a numerical example.     

The Inverse Problem of Centrosymmetric Matrices with a Submatrix Constraint

By using Moore-Penrose generalized inverse and the general singular value decomposition of matrices, this paper establishes the necessary and sufficient conditions for the existence of and the expressions for the centrosymmetric solutions with a submatrix constraint of matrix inverse problem AX = B. In addition, in the solution set of corresponding problem, the expression of the optimal approximation solution to a given matrix is derived.     

Ax=b在广义正定矩阵类中的反问题求解

有许多类直接控制系统的绝对稳定性[1]涉及到这样一类线性方程组协Ax＝b的反问题：对于给定的x，b∈Rn，n阶实矩阵类Ⅱ（n），求解集Ⅰ（Ⅱ（n）；x，b）＝｛A∈Ⅱ（n）｜Ax＝b｝非空的条件．文[2]讨论了反问题Ⅰ（Ps（n）；x，b）≠（Ps（n）为正定降类）和Ⅰ（O（n）；x，b）≠（O（n）为正交阵类）的条件，文[3]进一步给出了Ⅰ（M-阵类；x，b）和Ⅰ（S-阵类；x，b）有解的条件．本文将研究这类反问题在更广的一类矩阵类─—广义正定矩阵[4，5]类中的求解，从而使这类反问题得到了较完满的解决．     

观测向量的变换对广义线性模型参数估计的影响

本文一般地考察了观测向量Ｙ用线性变换ＦＹ代替对广义线性模型Ｙ＝Ｘβ＋ε的系数估计的影响，得到了由变换引起的方差增量公式，并由此得到了一个可估子空间，当且仅当其中元素的估计优良性不因观测向量的变化而改变，这一结果推广了文献［１］的结果．     

有关实正定方阵行列式的几个不等式

本文得到实正定方阵行列式的几个不等式，改进了近期研究的一些结果．     

线性流形上矩阵方程B^TXB=D的反对称解

该文讨论了两类线性流形上矩阵方程B^TXB=D的反对称解和反对称最佳逼近解存在的条件,给出了通解的一般表达式,同时解决了解对给定矩阵的唯一最佳逼近问题.     

论四元数矩阵的正定性

本文给出了正定四元数矩阵的定义，同时给出了正定四元数矩阵的一个充要条件，一个必要条件，一个充分条件．     

非负矩阵谱半径的一个新界值

在Wielandt定理的基础上进行了推广,得到了一种估计非负矩阵谱半径的新方法,数值例子显示了新方法所得到的结果更为精确.     

广义对称矩阵反问题有解的条件

本利用矩阵的奇异值分解讨论了一类广义对矩阵阵反问题，得到了此类矩阵反问题有解的充分必要条件及通解的表达式。     

非正定方差阵下的证券组合投资模型研究

研究了非正定方差阵下,证券组合投资模型的最优投资比例系数的计算,有效边界,冗余证券的数量以及套利机会.从而为实证分析提供了理论依据和方法.