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Matrix theory is the study of matrices as concrete objects, rather than as abstract linear operators between vector spaces (whose study belongs to linear algebra). For instance, this involves matrix factorizations and decompositions, nonnegative matrices and Perron-Frobenius theory, Schur complements, structured and special matrices, matrix functions and equations.

13 votes

One observation of special type of square matrix exponentiation

The answer is quite simple. First observe that $A$ is triangular, hence the spectrum is on the diagonal. From your assumptions, $1$ is a simple eigenvalue and the other eigenvalues belong to $[0,1)$. …
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0 votes

Determine unknown matrix function of particular form from known points

Not an answer, but the formula is too wide for a comment. Why didn't you say that $f(X)$ is an entry of an inverse matrix $$\begin{pmatrix} X-A & -B \\ - C & -D \end{pmatrix}^{-1}=\begin{pmatrix} \cdo …
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3 votes
Accepted

Operator norm of difference of matrix decompositions

The answer is negative, and this happens as soon as $n=2$. The question is whether the composition $X\mapsto L:=L_{X^2}$ is globally Lipschitz over ${\bf SPD}_n$. Let $x_j\in{\mathbb R}^n$ denote the …
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5 votes

A question of invertibility of matrices

What about $$A=\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix},\qquad B=\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}\quad ?$$
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1 vote

Representation theorem for matrices (reference request)

Here is a down-to-earth proof. Remark that for complex matrices, proving $A=B$ is equivalent to proving $\langle x,Ax\rangle=\langle x,Bx\rangle$ ; the superiority of the complex numbers over the real …
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5 votes
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Eigenvalues of product of symmetric positive definite matrices

It is true that the product $M=T_1T_2$ of two positive definite symmetric matrices has real and positive eigenvalues. And conversely, every matrix $M$ with real positive eigenvalues can be factored $M …
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3 votes

On the existence of integer square root of a $3 \times 3$ positive definite matrix

Besides the fact that $\det M$ needs to be a perfect square, there is an other set of necessary conditions: among the diagonal entries $m_{ii}$ and the principal $2\times2$ minors $m_{ii}m_{jj}-m_{ij} …
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7 votes
Accepted

When is the matrix norm multiplicative

At least, there is this important case: in $C^*$-algebras, there is an involution and the norm has the property that $$\|x\|=\|x^*\|=\|xx^*\|^{1/2}.$$ In the special case of ${\bf M}_n({\mathbb C})$, …
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15 votes
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Is the linear span of special orthogonal matrices equal to the whole space of $N\times N$ ma...

Elementary proof. The linear space $E$ spanned by $SO_n$ is the orthogonal of those matrices $M$ such that $\langle M,Q\rangle:={\rm Tr}(MQ)=0$ for every $Q\in SO_n$. Let $M=SR$ be a polar decompositi …
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20 votes

Differentiability of Eigenvalues - Perturbation Theory

The complete reference is Kato's book Perturbation theory .... But perhaps you need only the most basic results. Then see my book Matrices (Springer GTM #216), 2nd edition. This is Section 5.2. Mind …
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19 votes

Is the determinant the only multiplicative matrix function?

It depends on what is the target space. Linear representations of ${\bf Gl}_n(k)$ do satisfy $\rho(AB)=\rho(A)\rho(B)$ by definition, and they often extend in a natural way to ${\bf M}_n(k)$. On anot …
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11 votes
Accepted

Generalized Hölder's inequality for operator (subordinate) norms

Actually, there is a much stronger result, known as the Riesz-Thorin Theorem: The subordinate norm $\|A\|_p$ is a log-convex function of $\frac1p$. In other words, $$\left(\frac1r=\frac\theta{p}+\fr …
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8 votes

Relation between eigenvalues of $A$ and $A^TA$?

Let $\lambda_1,\ldots,\lambda_n$ be the eigenvalues of $A$ and $s_1,\ldots,s_n$ be those of $\sqrt{A^*A}$, ordered by $$|\lambda_1|\ge\cdots\ge|\lambda_n|,\qquad s_1\ge\cdots\ge s_n.$$ Then it holds $ …
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3 votes

system of homogeneous matrix equations

A partial answer: Let $\Sigma$ denote the manifold $x^n+y^n=0$. Away from $\Sigma$, the equation and the fact that the roots of the polynomial $X^n-x^n-y^n$ are simple, tell you that $xA+yB$ is diagon …
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6 votes
Accepted

When are cones of matrices "generated" by vectors?

Let $K$ be a closed convex cone in ${\bf Sym}_n({\mathbb R})$. I assume a generic cone: non void interior, strictly convex. Let $$K^0=\{ S\in{\bf Sym}_n({\mathbb R})\quad|\quad{\rm Tr}(SH)\ge0,\quad\ …
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