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max eigenvalue and schatten-1 norm of depolarizing channel acting on trace-0 Hermitian matrix

Denote $\mathcal{H}^n$ as the $n-$dimension Hermitian matrices. Depolarizing channel $\Delta_p:\mathcal{H}^2\to\mathcal{H}^2$ is defined as $\Delta_p(A)=p\text{ tr }(A)~I/2+(1-p)A$ where $A\in \...
qmww987's user avatar
  • 91
4 votes
1 answer
90 views

Tight upper bound on a ratio involving symmetric PSD matrices and Kronecker products

Let $\mathbf{A}_i \in \mathbb{R}^{d \times d}$ ($i = 1, \dots, T$) be symmetric positive semidefinite (PSD) matrices. Define the quantity $$ m = \frac{\lambda_{\max}\left(\sum_{i=1}^T \mathbf{A}_i^2\...
Ran's user avatar
  • 73
0 votes
0 answers
57 views

Class of covariance matrices invariant under permutations

I am reading a paper on covariance matrix estimation, and in this paper is introduced a class of covariance matrices: \begin{equation} U(q, c_0(p),M)=\{\Sigma: \sigma_{ii}\leq M,\quad \max_j\sum_{j=1}^...
spenziak's user avatar
2 votes
0 answers
35 views

Limiting spectral distribution of a random matrix with specific structure

First, consider an $N \times N$ Hermitian random matrix $V$ from the Gaussian Unitary Ensemble (GUE). It is well known that the empirical spectral distribution of the GUE satisfies the semicircle law ...
Sven Krug's user avatar
2 votes
1 answer
158 views

The relationship between a matrix and its coefficient matrix decomposed in Pauli matrix

For a dimension-$4$ Hermitian matrix $A$, denote pauli matrices $\{I,X,Y,Z\}$ as $\{\sigma_0,\sigma_1,\sigma_2,\sigma_3\}$ respectively. The pauli matrices form a basis of the matrix space if we take ...
qmww987's user avatar
  • 91
3 votes
1 answer
187 views

Eigenvalues of certain matrices

We write $R(\theta)=\left(\begin{smallmatrix}\cos(2\pi\theta)&\sin(2\pi\theta)\\ -\sin(2\pi\theta)&\cos(2\pi\theta)\end{smallmatrix}\right)$ for any $\theta\in\mathbb R$. Let $d,m,n,r$ be a ...
emiliocba's user avatar
  • 2,446
1 vote
1 answer
52 views

Eigendecomposition of a Gram matrix with specified columns

I originally posted this question on Math SE, but I am starting to think it is more suitable to post it here. After waiting about two weeks, I didn't get any activity. The original question is linked ...
LSK21's user avatar
  • 111
5 votes
2 answers
392 views

Maximal eigenvalue of a real symmetric Toeplitz matrix

The $n×n$ matrix $A_n$ is defined by the elements $a_{ij}=n−|i−j|$. \begin{bmatrix} n & n-1 & n-2 & \cdots & 1\\ n-1 & n & n-1 & \cdots & 2\\ n-2 & n-1 & n &...
Drophet's user avatar
  • 61
1 vote
0 answers
63 views

Reference request for non-banded Toeplitz matrix

I want to know references that treat the property of eigenvalues and eigenstates of the non-banded Toeplitz matrix. I mean for example, the Toeplitz matrix $A$ whose matrix element is given by $A_{ij}=...
hos's user avatar
  • 11
2 votes
0 answers
85 views

Smallest eigenvalue of certain PD matrix decreases under sparse perturbation

Let $\omega_1<\dots<\omega_n\in\mathbb{R}$. Then, define $G\in\mathbb{C}^{n\times n}$ such that $G_{k\ell}=\frac{1}{1-i(\omega_\ell-\omega_k)}$. For example, if $n=3$ we obtain $$ G=\begin{...
PIII's user avatar
  • 83
0 votes
0 answers
32 views

Eliminating nullity for enhanced non-singularity

If we have an $n\times n$ matrix $A$ with entries either $0$ or $1$, where all diagonal entries are $0$ and the rank is $k<n$, can we reach full rank by changing exactly $n-k$ zero off-diagonal ...
ABB's user avatar
  • 4,058
0 votes
0 answers
148 views

Is there a way to find the eigenvalues of a matrix using character table?

I am studying applications of representation theory. I want to know if there is a procedure to find the eigenvalues and eigenvectors of a matrix using the character table of the Group acting on its ...
starry's user avatar
  • 1
1 vote
1 answer
48 views

Iteration matrix representation with complex conjugate operator

I am studying the convergence of a particular class of radial power flows, whose goal is to obtain the voltage solution for a given electric grid, i.e., a complex vector $\mathbf{V}$ that gives the ...
ElectricPhysiscist's user avatar
52 votes
8 answers
5k views

Is there a fast way to check if a matrix has any small eigenvalues?

I have hundreds of millions of symmetric 0/1-matrices of moderate size (say 20x20 to 30x30) which (obviously) have real eigenvalues. I wish to extract from this list the tiny number of matrices that ...
Gordon Royle's user avatar
  • 12.7k
0 votes
1 answer
104 views

Change of the smallest positive eigenvalue after a rank-one update

Given natural numbers $n,r,R\in\mathbb{N}$ with $r,R\le n$, let $A\in\mathbb{R}^{n\times r}$ and $B\in \mathbb{R}^{n\times R}$ be two matrices with full column rank and let $c\in\mathbb{R}^n$. Denote ...
Philipp Trunschke's user avatar
4 votes
1 answer
230 views

Conditions for distinct nonzero eigenvalues in product DAD for symmetric matrix A with repeated nonzero eigenvalues and diagonal matrix D

Let $A\in\mathbb{R}^{n\times n}$ be an real symmetric matrix with eigenvalues $\lambda_1, \lambda_2, \cdots, \lambda_n$ with some of which be nonzero and repeated, i.e., there exist $\lambda_i \ne 0$ ...
Eddie's user avatar
  • 187
1 vote
1 answer
112 views

square matrix depending on complex value: spectral radius continous? [closed]

Let $A(z)$ be a $n\times n$ square matrix depending on the complex value $z$ and $\lambda_z$ is its spectral radius. Is $\lambda_z$ continous or is it possible that it can jump? Or maybe someone knows ...
Fynn13's user avatar
  • 83
0 votes
0 answers
114 views

Expectation of the operator norm of projection of a random permutation matrix

Assuming I have a fixed dimension $p$ subspace of $\mathbb{R}^d$ orthogonal to $1^d$ and $VV^\top$ with $V \in \mathbb{R}^{d \times p}$ is the orthogonal projection to the subspace. What bound can I ...
Kaiyue Wen's user avatar
0 votes
0 answers
69 views

Spectrum of Moore-Penrose pseudo-inverse multiplied by a constant

Consider a random rectangular matrix $X\in\mathbb{R}^{N\times P}$ where each entry is drawn from iid distribution with mean $m$ and variance $s^2$, and denote $X^+$ the Moore-Penrose pseudo-inverse. ...
Uri Cohen's user avatar
  • 373
0 votes
0 answers
79 views

Approximate solution problem of rank-one modification matrix secular equation

In Golub's paper , page 327,the eigenvalues of a rank-one modification of a $n\times n$ symmetric matrix can be computed by findng the zeros of the secular equation \begin{equation*} w(\lambda_j)=...
brant's user avatar
  • 63
1 vote
2 answers
413 views

Eigenvectors of a non-symmetric rank-one update of a symmetric matrix

I have a matrix $A$ $(n\times n)$ with eigenvalues $\lambda_i$, then I add another matrix to it as: $A+uv^\top$ where $u$ $(n\times 1)$ and $v$ $(n\times 1)$ are column vector. Also, $A=yy^\top$ with $...
brant's user avatar
  • 63
3 votes
0 answers
145 views

Eigenvalues of random matrices are measurable functions

I have read that if a random matrix is hermitian then its eigenvalues are continuous, hence also measurable. If the random matrix is not hermitian, the eigenvalues are not continuous in some cases. ...
Curtis74's user avatar
2 votes
1 answer
133 views

Is the sum of the circulant matrix with a super upper triangular matrix diagonalizable?

By the circulant matrix $C$ in $M_n(\mathbb{R})$, we mean that $$C=[e_n|e_1|\cdots|e_{n-1}]$$ where $e_1,\cdots,e_n$ are the standard basis vectors in $\mathbb{R}^n$. It is well-known that $$C=\...
ABB's user avatar
  • 4,058
0 votes
1 answer
309 views

Eigenvalues of $\operatorname{diag}({\bf v}) - {\bf v} {\bf v}^\top - \alpha({\bf v} - {\bf w})({\bf v} - {\bf w})^\top$

Given vectors ${\bf v}, {\bf w} \in [0,1]^n$ , where $n \in \mathbb{N} \setminus \{0\}$, and $\alpha > 0$, I would like to find the eigenvalues of the following matrix. $$\operatorname{diag}({\bf v}...
CereIssou's user avatar
1 vote
0 answers
223 views

Fastest algorithm for finding the closest semi-definite matrix?

Given a real-valued, symmetric matrix $A \in \mathbb{R}^{n \times n}$, I'm interested in finding the closest positive semi-definite matrix $X^*\in \mathbb{R}^{n \times n}$: $$ X^* = \mathop{\text{...
Alec Jacobson's user avatar
5 votes
2 answers
721 views

Matrices with same eigenvalues

This question is a more precise version of this question. Let's assume we have the matrix $$\left( \begin{array}{ccccc} 0 & a & 0 & 0 & 0 \\ f & 0 & b & 0 & 0 \\ 0 &...
António Borges Santos's user avatar
3 votes
1 answer
309 views

Eigenvalues two-fold degenerate

Consider the matrix $$A:=\left( \begin{array}{cccc} 0 & a & 0 & 0 \\ f & 0 & b & 0 \\ 0 & e & 0 & c \\ 0 & 0 & d & 0 \\ \end{array} \right)$$ I ...
António Borges Santos's user avatar
1 vote
0 answers
179 views

QR algorithm for eigenvalues and eigenvectors of large symmetric matrices

I am trying to write a QR algorithm in Python for eigenvectors and eigenvalues finding for large symmetric matrices, My initial thought was to use Householder transformation with a Wilkinson shift ...
Daniel Belaish's user avatar
1 vote
1 answer
136 views

Matrix transformation that always works?

Consider the matrix $$A_2:= \begin{pmatrix} a & b_1 \\ b_2 & a\end{pmatrix}.$$ Let $\sigma_2 = \begin{pmatrix} 0 & i \\ -i & 0 \end{pmatrix}$, then $$\sigma_2 A_2 \sigma_2 = \begin{...
António Borges Santos's user avatar
4 votes
1 answer
2k views

Eigenvalues of a rank-one update of a symmetric matrix

I have a matrix $A$ $(n\times n)$ with eigenvalues $\lambda_i$, then I add another matrix to it as: $A+xx^\top$ where $x$ $(n\times 1)$ is a column vector. and also $A=yy^\top$ with $y$ a $(n-1)$ rank ...
brant's user avatar
  • 63
1 vote
0 answers
290 views

Eigenvalue decomposition of normalized adjacency matrix

Let $A$ be an adjacency matrix of undirected graph $G$, where $G$ is a connected graph. The normalized adjacency matrix is defined as $\hat{A}=D^{-1/2}AD^{-1/2}$, where $D$ is degree matrix of graph $...
MikeDean's user avatar
0 votes
1 answer
224 views

Faulty algorithm for simultaneous diagonalization?

I found a simple algorithm for simultaneous diagonalization of two commuting matrices (Nordgren - Simultaneous Diagonalization and SVD of Commuting Matrices), which seemed to be well-founded. For ...
TobiR's user avatar
  • 103
1 vote
0 answers
114 views

Higher dimensional Cauchy interlacing theorem

If $A$ is a Hermitian matrix and $A_j$ the principal minor with the $j$ row and column deleted and $\phi_A(x)$ the characteristic polynomial. The Cauchy interlacing iheorem states that the roots of $\...
CHUAKS's user avatar
  • 1,362
2 votes
1 answer
299 views

Eigenvalues of a specific matrix

I have a block matrix $$M=\begin{bmatrix} I_0& I_1& \cdots& I_1\\ I_2& I_0& \ddots& \vdots\\ \vdots& \ddots& \...
Young Q's user avatar
  • 43
3 votes
0 answers
250 views

Generalized matrix determinant lemma for pseudo-determinant of symmetric matrix

The pseudo-determinant of a square matrix $A$ is the product of its nonzero eigenvalues. Consider the generalized matrix determinant lemma $$\det(A+UWV^\top) = \det A\det W\det(W^{-1} + V^\top A^{-1}U)...
Giacomo Petrillo's user avatar
1 vote
0 answers
62 views

What do you call this class of matrices with a unique positive eigenvalue associated to a graph?

I am looking for the name of a class of symmetric matrices $M\in\Bbb R^{n\times n}$ that I can associate to a (finite simple) graph $G=(V,E)$ with $V=\{1,...,n\}$ and that have the following ...
M. Winter's user avatar
  • 13.6k
4 votes
1 answer
187 views

largest eigenvalue of the difference between two quadratic forms

Let $U,V\in\mathbb{R}^{4\times n}$ such that $UU^T=VV^T=I$, and $A\in\mathbb{R}^{n\times n}$ be an Hermitian matrix. Is it true that $$\sqrt{\lambda_{\text{max}}\left(\left(UAU^T-VAV^T\right)^2\right)}...
Student88's user avatar
  • 503
2 votes
2 answers
320 views

Eigenvalues and eigenvectors of k-blocks matrix

I'm trying to find the eigenvalues and eigenvectors of the following $n\times n$ matrix, with $k$ blocks. \begin{gather*} X = \left( \begin{array}{cc} A & B & \cdots & \\ B & A & ...
ari6739's user avatar
  • 21
1 vote
1 answer
331 views

Eigenvalues of a circulant: DFT or Inverse DFT Convention?

Currently, most engineering texts (and webpages including Wikipedia) define forward discrete Fourier transform with a negative sign on the exponential. This is a convention and the inverse discrete ...
ACR's user avatar
  • 879
-2 votes
1 answer
183 views

Property of positive semi-definite

Let $A$ is a positive semi-definite matrix like this: $$ A = \begin{bmatrix} 1 & \alpha_{1,2} & \alpha_{1,3} & \alpha_{1,4}\\ \alpha_{1,2} & 1 & \alpha_{2,3} & \alpha_{2,4}\\ \...
A. R.'s user avatar
  • 25
3 votes
1 answer
144 views

On the bounds of the sum of the squares of spectral variation of two real symmetric matrices

Suppose $A$ and $B$ are two symmetric real $\{0,1,-1\}$ matrices of order $n$ with diagonal elements as zeros (therefore the traces are zeros) and eigenvalues $\lambda_1\ge \lambda_2\ge \dotsb \ge \...
shahulhameed's user avatar
1 vote
2 answers
446 views

Transforming matrix to off-diagonal form

I wonder if one can write the following matrix in the form $A = \begin{pmatrix} 0 & B \\ B^* & 0 \end{pmatrix}.$ The matrix I have is of the form $$ C = \begin{pmatrix} 0 & a & b & ...
Sascha's user avatar
  • 536
1 vote
1 answer
150 views

eigenvalues of matrices (with positive entries)

I am reading an old paper by Kawpien and Pelczynski, Studia Math. 1970. It claims that singular values of a matrix (with positive entries? I am not sure) is given by $t_i=\sqrt{\sum_{j\ge 1}a(i,j)^2}$....
user92646's user avatar
  • 617
1 vote
0 answers
49 views

Bounds on Eigenvalues After Skew-Symmetric Perturbation

Consider two matrices $\mathbf{J} \in \mathbb{R}^{n \times n}$ and $\mathbf{L} = -\mathbf{L}^T \in \mathbb{R}^{n \times n}$. I am trying to upper bound the eigenvalues of their sum: $$\mathbf{A} = \...
Leo's user avatar
  • 11
3 votes
2 answers
393 views

Eigenvalues and eigenvectors of non-symmetrical tridiagonal matrix

The question is the following: given a matrix $$A=\begin{pmatrix} 1& 2 & & & & \\ 1& 0& 1 & & & \\ & 1& 0& 1 & &\\ & &...
Connor's user avatar
  • 145
0 votes
0 answers
149 views

Diagonalizing a specific case of symmetric block matrix

Let's consider the following block matrix $$ M = \begin{pmatrix}D&A^T\\A&-D\end{pmatrix},$$ where $A$ and $D$ are $n \times n$ matrices. The diagonal matrix $D$ is defined by $D_{kk} = k \...
Marin's user avatar
  • 1
-1 votes
1 answer
155 views

Companion matrices must have geometric multiplicity one, linear recurrence sequence view [closed]

I posted this question on math stackexchange weeks ago, and it have not receive an answer yet after a bounty offer... I've been recently playing around with the linear recurrence sequences. Consider ...
Lab's user avatar
  • 109
1 vote
1 answer
143 views

Eigenvalues of directed graph with one outward edge for each vertex

I am concerned with unweighted directed graphs where each node contains exactly one edge pointing to another node, which could be itself. In other words, each row of the adjacency matrix contains one ...
user3433489's user avatar
7 votes
0 answers
195 views

Hölder continuity of spectrum of matrices

Endow $\mathbb{C}^{d \times d}$ with the norm induced by the Euclidean norm on $\mathbb{C}^d$. It is well-known (to those who know it well, I guess) that the spectrum $\sigma(A)$ of a matrix $A \in \...
Jochen Glueck's user avatar
1 vote
0 answers
163 views

An estimation of the largest eigenvalue of a submatrix of $\left(\cos(\frac{kl\pi}{4n})\right)_{k,l=1}^n$

Let us consider the following matrix $A=(a_{k,l})$ where $$A=\left(\cos(\frac{kl\pi}{4n})\right)_{k,l=1}^n$$ Let us consider the submatrix $A_0$ of $A$ whose entries are those $a_{k,l}$ where $k\...
ABB's user avatar
  • 4,058

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