方阵A、B与A(○×)B的关系

利用方阵的Jordan分解与翻转矩阵等技巧,给出方阵A、B及其张量积A(○×)B性质间的关系.     

关于合成矩阵的几个性质

利用合成矩阵的概念和翻转矩阵的技巧,结合矩阵的次转置、次自共轭,中心对称等相关情况给出合成矩阵的几个性质,并获得关于n阶翻转矩阵的第n-1个合成矩阵的表达式.     

四元数自共轭矩阵乘积的相似变换

本文证明了下列结果:(i)四元数矩阵A可写成两个自共轭四元数矩阵的乘积A相似于实矩阵A Hermite相似于A~*.(ii)A可写成一个半正定自共轭四元数矩阵与一个自共轭四元数矩阵的乘积A相似于实对角矩阵或者A～diag(D,I_r(×)J_2(O)),其中D是一个实对角矩阵.本文还给出了体上实矩阵AB与BA相似的一个充要条件.     

当方阵A,B反可交换时,A,B和AB特征值的性质及联系

从矩阵反可交换的定义出发,证明了当两个方阵A,B反可交换时,任取A的特征值λ_A存在B的特征值λB,满足±iλ_Aλ_B是AB的特征值及其它一些相应结论.并举例说明了结论的的有效性.     

次正规矩阵、次酉矩阵、次厄米特矩阵及反次厄米特矩阵

主要研究了下列几方面问题:(i)次酉矩阵、次厄米特矩阵及反次厄米特矩阵的特征值与次特征值;(ii)次正规矩阵、次酉矩阵、次厄米特矩阵及反次厄米特矩阵分别与正规矩阵、酉矩阵、厄米特矩阵及反厄米特矩阵之间的关系;(iii)次正规矩阵、次酉矩阵、次厄米特矩阵及反次厄米特矩阵之间的联系.     

有单位元交换环上二阶矩阵的因子分解

对有单位元交换环上矩阵分解问题进行了讨论,给出了有单位元交换环上二阶矩阵可以因式分解的充分必要条件,即单位元交换环上二阶矩阵可以因式分解当且仅当这个矩阵的行列式可以因子分解.     

拟次Hermite矩阵方程的解

A,M,x为n阶矩阵,M可逆,当A为由M确定的拟次Hermite矩阵时,讨论复数域上矩阵方程X AX=A的求解问题,给出了解的表达式,其中X＝M－1XsM,为X的共轭次转置矩阵。     

(NCI)算子与(NFI)算子

引入两类与不变子空间密切相关的算子,即(NCI)算子与(NFI)算子.考虑这两类算子的性质,例如存在性,相似不变性,以及与强不可约算子的关系等.并在可分Banach空间上讨论谱为单点集{0}的算子能否小紧摄动成为(NFI)算子.     

k-广义Hermite矩阵

本文给出了k-广义(反)Hermite矩阵的概念,研究了它的性质及其与k-广义酉矩阵之间的联系,推广了酉矩阵和(反)Hermite矩阵的相应结果.     

随机环境中马氏链的常返性和瞬时性

讨论了随机环境马氏链中具有强π不可约性链的常返性的判定,从而得到了强π不可约链常返性判定的充分必要条件,同时给出了在一定条件下随机环境中的马氏链的瞬时性判定的几个充分条件.     

Jordan canonical form of three-way tensor with multilinear rank (4,4,3)

The Jordan canonical form of matrix is an important concept in linear algebra. And the concept has been extended to three-way arrays case. In this paper, we study the Jordan canonical form of three-way tensor with multilinear rank (4,4,3). For a 4 × 4 × 4 tensor gj with multilinear rank (4,4,3), we show that gj must be turned into the canonical form if the upper triangular entries of the last three slices of gj are nonzero. If some of the upper triangular entries of the last three slices of gj are zeros, we give some conditions to guarantee that gj can be turned into the canonical form.     

矩阵张量积与诱导矩阵的y-数值半径

从y-数值半径的定义出发,利用矩阵张量积与诱导矩阵的性质,研究了它们的y-数值半径,得到了矩阵张量积与诱导矩阵y-数值半径的几个不等式.     

Biquadratic tensors,biquadratic decompositions,and norms of biquadratic tensors

Biquadratic tensors play a central role in many areas of science.Examples include elastic tensor and Eshelby tensor in solid mechanics,and Riemannian curvature tensor in relativity theory.The singular values and spectral norm of a general third order tensor are the square roots of the M-eigenvalues and spectral norm of a biquadratic tensor,respectively.The tensor product operation is closed for biquadratic tensors.All of these motivate us to study biquadratic tensors,biquadratic decomposition,and norms of biquadratic tensors.We show that the spectral norm and nuclear norm for a biquadratic tensor may be computed by using its biquadratic structure.Then,either the number of variables is reduced,or the feasible region can be reduced.We show constructively that for a biquadratic tensor,a biquadratic rank-one decomposition always exists,and show that the biquadratic rank of a biquadratic tensor is preserved under an independent biquadratic Tucker decomposition.We present a lower bound and an upper bound of the nuclear norm of a biquadratic tensor.Finally,we define invertible biquadratic tensors,and present a lower bound for the product of the nuclear norms of an invertible biquadratic tensor and its inverse,and a lower bound for the product of the nuclear norm of an invertible biquadratic tensor,and the spectral norm of its inverse.     

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.     

八元数矩阵的行列式及其性质

赋范的可除代数只有四种:实数R,复数C,四元数日和八元数O.由于八元数关于乘法非交换且非结合,如何对八元数矩阵定义行列式并使其具有较好的运算性质变得非常困难.最近,李兴民和黎丽根据"八元数自共轭矩阵的行列式应为实数"这一数学与物理上的需求,通过选择几个八元数乘积的次序和结合方式,首次给出了八元数行列式的定义.但是,与实数、复数以及四元数的相应的情形比较,如此定义的行列式,其所具备的运算性质较少.本文给出了一种新的八元数行列式的定义,它们具备了尽可能多的运算性质,同时使得"八元数自共轭矩阵的行列式为实数"不证自明.     

两个基于不同张量乘法的四阶张量分解

提出了两个基于不同张量乘法的四阶张量分解. 首先, 在矩阵乘法的基础上, 定义第一种四阶张量乘法(F-乘), 基于F-乘提出了第一种四阶张量分解(F-TD). 其次, 基于三阶张量t-product给出了第二种四阶张量乘法(B-乘)和分解(FT-SVD). 同时, 利用两种分解方法, 分别给出两个张量逼近定理. 最后, 三个数值算例阐明提出的两种分解方法的准确性和可行性.     

广义谱分解与亏损矩阵幂的算法

提出了亏损矩阵广义谱分解概念,所得广义特征矩阵具有类似若当链的性质AA(h)i=λiA(h)i+A(h+1)i.亏损矩阵可分解成A=∑si=1(λiA(0)i+A(1)i),由Am=∑si=1∑mh=0Chmλm-hiA(h)i可生成线性方程组,求出各A(h)i,进而计算A的较大次幂Am.介绍了广义谱分解在计算矩阵幂级数中的应用.     

A constructive arbitrary‐degree Kronecker product decomposition of tensors

We generalize the matrix Kronecker product to tensors and propose the tensor Kronecker product singular value decomposition that decomposes a real k‐way tensor into a linear combination of tensor Kronecker products with an arbitrary number of d factors. We show how to construct , where each factor is also a k‐way tensor, thus including matrices (k=2) as a special case. This problem is readily solved by reshaping and permuting into a d‐way tensor, followed by a orthogonal polyadic decomposition. Moreover, we introduce the new notion of general symmetric tensors (encompassing symmetric, persymmetric, centrosymmetric, Toeplitz and Hankel tensors, etc.) and prove that when is structured then its factors will also inherit this structure.