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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.

1 vote

Distribution of the $\alpha$-parameter of a $2\times 2$ Haar-distributed, unitary matrix

The distribution you are seeking is: $$P(\alpha)=\sin(2\alpha),\;\;\alpha\in[0,\pi/2]$$ The general way to derive the Haar measure for any parameterization of $U$ in terms of variables $\alpha_1,\alp …
Carlo Beenakker's user avatar
2 votes
Accepted

equality between the ratio trace and the determinant ratio

The equality of the arg max of the trace of the ratio and the ratio of determinants follows from the fact that each of these two maximisation problems has the same solution, given by the matrix $S$ co …
Carlo Beenakker's user avatar
1 vote

Eigenvector localizaiton

some pointers on eigenvector localization, mainly in the context of Perron-Frobenius theory (which in view of your earlier post seems to be what you are looking for): Principal eigenvectors of irregu …
Carlo Beenakker's user avatar
2 votes
Accepted

Proving symmetry of trace function of special matrix

To check the symmetry of the trace under a given permutation of the $p_i$'s, take the corresponding permutation matrix $S$ and insert in the trace noting that $S^TS=I$ and $SWS^T=W$: $${\rm tr}\,(AW) …
Carlo Beenakker's user avatar
35 votes
Accepted

Consequences of eigenvector-eigenvalue formula found by studying neutrinos

The OP asks about generalisations and applications of the formula in arXiv:1908.03795. $\bullet$ Concerning generalisations: I have found an older paper, from 1993, where it seems that the same resul …
Carlo Beenakker's user avatar
2 votes

How to derive the mean of inverse-Wishart distribution?

If you start from a matrix $A$ that has a Wishart distribution with $\nu$ degrees of freedom and a $p\times p$ positive-definite scale matrix $\Sigma$ (with $\nu>p+1$), then the inverse $A^{-1}$ has t …
Carlo Beenakker's user avatar
2 votes

Can I assign the term "is eigenvector" and "is eigenmatrix" of matrix $P$ in my specific (in...

I would suggest to call $E(x)=(1, x^1, x^2/2!, x^3/3!, \cdots)$ a fixed point of the linear map $E\mapsto M_\lambda\cdot E$, with $M_\lambda=\lambda P$ and scale factor $\lambda=e^{-x}$. In this way y …
Carlo Beenakker's user avatar
3 votes

LU decomposition for orthogonal or unitary matrices?

Here is one study of the analogue of the Cholesky decomposition for orthogonal matrices: Unconstrained representation of orthogonal matrices with application to common principle components (2019). Re …
Carlo Beenakker's user avatar
15 votes
Accepted

When does the determinant distribute over addition?

let me assume $A$ is invertible, then you ask when $$\det(1+X)=1+\det X,\;\;X=A^{-1}B $$ so if $X$ has eigenvalues $x_i$, $i=1,2,\ldots n$, you would need $$\prod_{i}(1+x_i)=1+\prod_i x_i$$ basically …
Carlo Beenakker's user avatar
1 vote
Accepted

Closed form for integral of function of a symmetric positive definite matrix

just go to a basis where $M$ is diagonal, evaluate the integral and find $Y=M^{-1}\log M$.
Carlo Beenakker's user avatar
6 votes
Accepted

Do matrices with only elements along the main and anti-diagonals have a name?

I am continuing in the answer box, to get this out of the "unanswered" queue. The OP asks "for a more standard terminology that is perhaps present in the literature." The name "X-matrices" or "X-for …
Carlo Beenakker's user avatar
1 vote
Accepted

Bound for matrix inner product based on singular values

For a "pedagogical" proof, see A Note on von Neumann's Trace Inequality by Rolf Dieter Grigorieff. It has been remarked in the literature that "unexpectedly, finding a decent proof of this seemi …
Carlo Beenakker's user avatar
1 vote
Accepted

Eigenvalues of a block matrix with zero diagonal blocks

If you decompose $M=\begin{pmatrix} X_{q\times q}&Y_{q\times k_3}\\ (Y_{q\times k_3})^{\rm T}&0_{k_3\times k_3}\end{pmatrix}$ into four block matrices, with $q=k_1+k_2$, then the determinant equals $$ …
Carlo Beenakker's user avatar
3 votes
Accepted

Singular value decomposition of truncated discrete Fourier transform matrix

Let me insert a factor $N^{-1/2}$, so that the Fourier transform is unitary: $$U_{mn}=N^{-1/2}e^{-2\pi i(m-1)(n-1)/N},\quad m,n=1,\ldots,N.$$ We truncate the $N\times N$ matrix $U$ to the $k\times k$ …
Carlo Beenakker's user avatar
3 votes

Local differentiability of eigenvalues and eigenvectors of a real symmetric matrix

Theorem (1.1) of Perturbation theory for normal operators is likely what you are looking for. See also Differentiable perturbation of unbounded operators. If you would order the eigenvalues by their m …
Carlo Beenakker's user avatar

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