线性映射视角下矩阵的秩

向量空间之间的线性映射是线性代数研究的主要内容之一.从线性映射的视角考察线性代数知识可以更清晰地认识线性代数中重要知识点的本质.利用线性映射知识,对矩阵秩的几个重要命题给出了比较简洁的证明.     

保矩阵{1}逆的线性映射

设R是特征为2的主理想整环,Mn(R)表示R上n×n矩阵代数,在本文中我们给出了保Mn(R)中矩阵{1}逆的线性映射的一个刻划.     

保特征2域上上三角矩阵群逆的线性映射

设F是一个特征2且至少含有5个元素的域,n≥2是一个正整数．令Mn（F）和Tn（F）分别F上的全矩阵空间和上三角矩阵空间．我们首先刻划从Tn（F）到Mn（F）的保矩阵群逆的所有线性单射，由此从Tn（F）到自身的所有保矩阵群逆的线性双射被刻划．     

从对称矩阵代数到全矩阵代数的线性群逆保持

设F是一个特征不为2的域,Mn(F)和Sn(F)分别记F上的n×n全矩阵代数和对称矩阵代数.所有的从Sn(F)到Mn(F)的保群逆的线性映射被刻划,作为一个中间步骤,三个矩阵的同时相似标准形也被证明.这个标准形简化了从Sn(F)到Mn(F)的保群逆的线性映射的刻划.     

上三角矩阵的线性交换映射的表示

设Trn(R)表示定义在实数域R上的n×n阶上三角矩阵的集合,φ是定义Trn(R)上线性映射.如果对任意X∈Trn(R)有Xφ(X)=φ(X)X成立,称φ是线性交换映射.本文利用初等的矩阵计算方法描述了当φ(I)=I时,线性交换映射φ的表示形式,而且给出了φ的Frobenius范数‖φ(X)‖F的估计.     

某些分块矩阵的逆矩阵

本文研究了某些 3× 3分块矩阵的可逆性条件 ,并给出了可逆时的求逆公式     

线性映射方法在矩阵理论和运算中的应用

对矩阵的一些运算关系从映射角度考虑,得到概念上的新理解和运算的新技巧.特别是,给出了Frobenius不等式,Sylvester不等式等著名结果的极其简洁的证明,据此探讨了线性代数中有关问题和实例,包括列满秩矩阵的特点等.     

关于线性空间到欧氏空间的映射与线性映射

文[2]推广了文[1]的全部定理,文[3]又推广了文[2]的全部定理,本文进一步推广了文[3]的全部定理,且证法简洁明快.本文约定,若V,ω是线性空间,则Vω表示V到ω的所有映射的集合,L(Vω)表示所有V到ω的线性映射的集合,L(V)表示V的所有线性变换的集合.本文总假定V是实数域上的线性空间,ω,ω1,ω2,…,ωn为欧氏空间.引理1　设A,B∈Vω,Ct,Dt∈Vωt(t=1,2,…,n),若α,β∈V有(Aα,Bβ)=∑nt=1(Ctα,Dtβ)(1)则x1,x2,…,xr,　y1,y2,...,ys∈R(r,s∈N)α1,α2,…,αr,　β1,β2,...,βs∈V,有(∑ri=1xiAαi,∑sj=1yjBβj)=∑nt=1(∑ri=1x…     

主理想整环上保对合矩阵的线性映射

设R是特征不为2的交换主理想整环,Mn（R）表示R上n阶全矩阵模,本文基底生成元的方法刻划Mn（R）上保对合矩阵的R-线性映射的形式。     

矩阵空间之间的保幂线性映射

在本文中,设C是复数域,n和m是正整数,k为固定的自然数,且k≥2．设Mm(C)为C上m阶全矩阵空间,Sn(C)为C上n阶对称矩阵空间．本文分别刻画了从Sn(C)到Mm(C)和Sn(C)到Sm(C)上的保矩阵k次幂的线性映射．     

Invertible Mappings of Nonlinear PDEs to Linear PDEs through Admitted Conservation Laws

An algorithmic method using conservation law multipliers is introduced that yields necessary and sufficient conditions to find invertible mappings of a given nonlinear PDE to some linear PDE and to construct such a mapping when it exists. Previous methods yielded such conditions from admitted point or contact symmetries of the nonlinear PDE. Through examples, these two linearization approaches are contrasted.      

关于稳定可逆矩阵的分解(英文)

证明了稳定可逆矩阵相似于两个循环矩阵的积.并且进一步地证明了稳定可逆矩阵可表成对角矩阵与换位子的积.     

Construction of Invertible Input-Output Mappings and Parameter Identification

The problem of continuation of an input-output mapping to a right invertible mapping is solved. The proposed solution is based on transforming the system to a normal form and solving the problem for such systems. The well-known Singh inversion algorithm is modified to calculate the normal forms. It is proved that each step of the modified algorithm can be realized and the result of the algorithm application is a normal form. A new approach to the parameter identification problem based on the inversion of the input-output mapping is proposed to illustrate the application of the results.     

Invertible Matrices over Finite Additively Idempotent Semirings

We investigate invertible matrices over finite additively idempotent semirings. The main result provides a criterion for the invertibility of such matrices. We also give a construction of the inverse matrix and a formula for the number of invertible matrices.     

坡上矩阵可逆的条件

坡S是一个元素满足条件s 1=1的交换半环．证明了坡S上n×n矩阵A可逆当且仅当∑k=1 n aik=1(i=1,2,…,n)且aikajk=0(i≠j,k=1,2,…,n)．在坡S中可定义补元,得到S上每一个可逆矩阵是一个置换矩阵当且仅当S不包含不同于0和1的有补元．     

Some Conditions for Matrices over an Incline To Be Invertible and General Linear Group on an Incline

Inclines are the additively idempotent semirings in which products are less than or equal to either factor. In this paper, some necessary and sufficient conditions for a matrix over L to be invertible are given, where L is an incline with 0 and 1. Also it is proved that L is an integral incline if and only if GLn（L） = PLn （L） for any n （n 〉 2）, in which GLn（L） is the group of all n × n invertible matrices over L and PLn（L） is the group of all n × n permutation matrices over L. These results should be regarded as the generalizations and developments of the previous results on the invertible matrices over a distributive lattice.     

Invertible Linear Maps on the General Linear Lie Algebras Preserving Solvability

Let Mn be the algebra of all n × n complex matrices and gl(n,C) be the general linear Lie algebra,where n ≥ 2.An invertible linear map ?:gl(n,C) →gl(n,C) preserves solvability in both directions if bot...     

On the Right (Left) Invertible Completions for Operator Matrices

Let ${\mathcal {H}_{1}}Let H₁{\mathcal {H}_{1}} and H₂{\mathcal {H}_{2}} be separable Hilbert spaces, and let A ? B(H₁), B ? B(H₂){A \in \mathcal {B}(\mathcal {H}_{1}),\, B \in \mathcal {B}(\mathcal {H}_{2})} and C ? B(H₂, H₁){C \in \mathcal {B}(\mathcal {H}_{2},\, \mathcal {H}_{1})} be given operators. A necessary and sufficient condition is given for ${\left(\begin{smallmatrix}A &\enspace C\\ X &\enspace B \end{smallmatrix}\right)}${\left(\begin{smallmatrix}A &\enspace C\\ X &\enspace B \end{smallmatrix}\right)} to be a right (left) invertible operator for some X ? B(H₁, H₂){X \in \mathcal {B}(\mathcal {H}_{1},\, \mathcal {H}_{2})}. Furthermore, some related results are obtained.     

Cocharacters of Bilinear Mappings and Graded Matrices

Let M _k (F) be the algebra of k ×k matrices over a field F of characteristic 0. If G is any group, we endow M _k (F) with the elementary grading induced by the k-tuple (1,...,1,g) where g?∈?G, g ²?≠?1. Then the graded identities of M _k (F) depending only on variables of homogeneous degree g and g ^???1 are obtained by a natural translation of the identities of bilinear mappings (see Bahturin and Drensky, Linear Algebra Appl 369:95–112, 2003). Here we study such identities by means of the representation theory of the symmetric group. We act with two copies of the symmetric group on a space of multilinear graded polynomials of homogeneous degree g and g ^???1 and we find an explicit decomposition of the corresponding graded cocharacter into irreducibles.