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Questions tagged [eigenvalues]

eigenvalues of matrices or operators

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Eigenvalue of a convolution and a restriction?

Let $\epsilon>0$ be small. Let $\eta(t) = \frac{2\epsilon}{\epsilon^2+(2\pi t)^2}$ (the Fourier transform of $x\mapsto e^{-\epsilon |x|}$). Let $V$ be the space of integrable, bounded functions $f:\...
H A Helfgott's user avatar
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8 votes
1 answer
358 views

Eigenvalues of a certain combinatorially defined matrix

Let $A_n$ be the matrix whose rows and columns are indexed by pairs $(i,j)$ with $1\leq i,j\leq n$ and $i\neq j$ (so $A$ is an $n(n-1)\times n(n-1)$ matrix), whose $((i,j),(k,l))$-entry is 0 if $i=k$ ...
Richard Stanley's user avatar
-5 votes
1 answer
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Why is the second order correction to energy zero for a fully degenerate eigensystem? [closed]

Consider the system given by, $$ H|n\rangle = E|n\rangle$$ where: $H$ is the hamiltonian. $|n\rangle$ is the eigenstate. $E$ is the energy of the eigenstate. Using degenerate perturbation theory and ...
user544899's user avatar
-1 votes
0 answers
81 views

Can the higher order corrections to energy be calculated the same way in degenerate perturbation theory as with non-degenerate perturbation theory?

Consider the system given by, $$ H|n\rangle = E|n\rangle$$ where: $H$ is the hamiltonian. $|n\rangle$ is the eigenstate. $E$ is the energy of the eigenstate. Now from non-degenerate perturbation ...
user544899's user avatar
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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
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4 votes
1 answer
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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
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4 votes
1 answer
161 views

Finite group is Dedekind iff for every irrep, every element acts as identity or has all eigenvalues $\ne 1$

Consider the following claim: a finite group $G$ is Dedekind $\iff$ for every irrep $\rho$, and every $g \in G$, $\rho(g)$ either is identity matrix or has all eigenvalues $\ne 1$. Is this claim true? ...
Manu's user avatar
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1 vote
3 answers
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Eigenvalues of positive matrices in $\mathrm{SL}(d,\mathbb{Z})$

Let $A\in\operatorname{SL}(d,\mathbb{Z})$ be an irreducible positive matrix, i. e. $A=(a_{i,j})_{1\leq i,j\leq d}$ with $a_{i,j}\in\mathbb{Z}_{>0}$. From the Perron-Frobenius theorem, we know that $...
Yi SHI's user avatar
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1 answer
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Minimum eigenvalue of a symmetric matrix

I was solving a problem and got stuck on the following: Let $[p] = \{1, \ldots, p\}$ where $p \in \mathbb{N}$. Let $P(n, r)$ denote the set of all injective functions from $[r]$ to $[n]$ and write a ...
bluebird's user avatar
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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
4 votes
1 answer
244 views

Distinct eigenvalues of random matrix over finite field

Let $A$ be a uniformly random matrix in $\mathrm{M}_n(\mathbf{F}_p)$. It is well known that, as $p$ is fixed and $n$ tends to infinity, $A$ has repeated eigenvalues (over the algebraic closure $\...
darko's user avatar
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4 votes
2 answers
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Is this function injective?

For all given ordered lists $$\mathcal A=\big\{\{a_\mu\mid\mu=1,\cdots,N\}\mid\forall\mu,\nu> \mu,\ a_\mu > a_\nu\big\},$$ the function on the quotient space $$ G_\mu(a+\mathbb R: \mathcal A / \...
Gnaphalium's user avatar
-1 votes
1 answer
98 views

Spectrum of sum of positive and negative operators

Let $(\mathscr{H}, \langle \cdot, \cdot \rangle)$ be a separable complex Hilbert space, and let $\mathscr{D}$ be a dense subset of $\mathscr{H}$. Let $P: \mathscr{D} \to \mathscr{H}$ and $N: \mathscr{...
d'Alembert's user avatar
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0 answers
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Constructing random graphs with given eigenvalues and eigenvectors

In Linial's presentation on SOME PROBLEMS AND RESULTS IN THE GEOMETRY OF GRAPHS, on slide 7, some relations of properties of graphs to the eigenvalues of their adjacency matrix are listed, e.g. if $G$...
Manfred Weis's user avatar
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2 votes
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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
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Change in two spectral deviations due to edge deletion in a signed graph

Prove (or disprove) the following. Let $\Sigma=(G,\sigma)$ be a given signed graph. If $\lambda_1\ge\lambda_2\ge\cdots\ge \lambda_n$ and $\mu_1\ge\mu_2\ge\cdots \ge \mu_n$ are the eigenvalues of the ...
shahulhameed's user avatar
1 vote
0 answers
61 views

Eigenvalues and eigenvectors of the path Laplacian

Consider the Laplacian matrix of the path graph: $$ L = \begin{bmatrix} 1 & -1 & 0 & \cdots & 0 & 0\\ -1 & 2 & -1 & \cdots & 0 & 0\\ 0 & -1 & 2 & \...
user123's user avatar
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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
7 votes
1 answer
274 views

Smallest eigenvalue of a random matrix

Let $A \in \mathbb R^{n\times n}$ be a positive semi-definite matrix, and let $b \in \mathbb R^n$. For a random vector $x \sim \mathcal N(0, I_{n\times n})$, consider the random matrices $$ B_1 = A + ...
Rastapopoulos's user avatar
2 votes
1 answer
172 views

Diagonalize almost symmetric tridiagonal matrix

I begin with an $n \times n$ real symmetric tridiagonal matrix. However, I replace the non-zero elements in the first and last rows with zeros, so it is no longer symmetric $$M = \begin{bmatrix} 0 &...
Peter A's user avatar
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2 votes
1 answer
754 views

On a combinatorial inequality

Is it true that \begin{gather} \min\left(\lambda_{\min}(M_{12}), \lambda_{\min}(M_{13}), \lambda_{\min}(M_{14}), \lambda_{\min}(M_{15}), \lambda_{\min}(M_{23}), \\ \lambda_{\min}(M_{24}), \lambda_{\...
Jasmine's user avatar
  • 178
4 votes
2 answers
283 views

Multiplicity of the smallest non-zero Laplacian eigenvalue for tree graphs

How accurate is the following statement: "For tree graphs, the multiplicity of the smallest non-zero eigenvalue $\lambda_2$ of the Laplacian is 1." If not valid, in which cases does it fail ...
Reza's user avatar
  • 91
4 votes
1 answer
103 views

When do the nonzero eigenvalues of a directed graph Laplacian have the same absolute value?

Question: Let $G$ be a strongly connected directed graph on $n$ vertices with Laplacian $L(G)$. Then $L(G)$ has one zero eigenvalue $\lambda_1=0$ and $n-1$ nonzero eigenvalues $\lambda_2,\ldots,\...
Aditya Bandekar's user avatar
4 votes
1 answer
199 views

First derivative of $f(A) = \frac{1}{\lambda_{\min}(A)}$ for perturbed matrix

I am working with the matrix function $$ f(A) = \frac{1}{\lambda_{\min}(A)}, $$ where $A \in \mathbb{R}^{n \times n}$ is a positive definite matrix and $\lambda_{\min}(A)$ is its smallest eigenvalue. ...
Reza's user avatar
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3 votes
1 answer
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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
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1 vote
1 answer
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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
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15 votes
1 answer
649 views

On minimal eigenvalue

Is it true that $\min\left(\lambda_{\min}(M_{12}),\lambda_{\min}(M_{13}),\lambda_{\min}(M_{23})\right) \le \frac{7}{20}$ where $M_{ij}$ is the matrix obtained by selecting the entries at the ...
Jasmine's user avatar
  • 178
7 votes
4 answers
557 views

Reference request: "Higher order eigentuples" as generalized eigenvectors?

I stumbled upon a cute generalization of the eigenvalue problem and would like to know if anybody has seen something like this and can provide references. The eigenvalue problem for a square matrix $M$...
Dirk's user avatar
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0 votes
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22 views

Eigenvalues of Composition of Hadamard Operations of Low Rank Matrices

I am interested in the eigenvalues of $$ee^T \oslash (aa^T - a^{\odot2}(a^{\odot2})^T )^{\odot \frac{1}{2}},$$ where $a \in \mathbb{R}^n$ and $e$ is the vector with all entries equal to one. Can we ...
gandalfbalrogslayer's user avatar
2 votes
0 answers
101 views

What is the natural module?

Lemma 2.9 of [1]: Let $\operatorname{char}(K) \neq 2 $ and let $G$ be $\operatorname{Spin}(m,K)$, $n=\operatorname{rank} G$, and let $V$ be the natural $m$-dimensional module. Suppose $f\in G$ and $f^...
scsnm's user avatar
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12 votes
0 answers
301 views

Is there a differential form which corresponds to an eigenvalue of the homomorphism in cohomology?

Let $M$ be a closed manifold and $f:M\to M$ be a diffeomorphism. Suppose the homomorphism $f^*:H^k(M;\mathbb R)\to H^k(M;\mathbb R)$ has an eigenvalue $\lambda\in\mathbb{R}$. Note that $\lambda$ is ...
Andrey Ryabichev's user avatar
5 votes
2 answers
393 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
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0 answers
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Eigenvalues of N×N correlation matrices as N tends to infinity

I want to find a 𝑁×𝑁 positive definite correlation matrix, which ensures that as 𝑁 goes to infinity, only a finite number of eigenvalues remain non-zero, while the rest eigenvalues approach zero. ...
Zywoo_biu's user avatar
22 votes
0 answers
449 views

Why does the random shift in the QR eigenvalue algorithm work in the non-symmetric case over the complex field

I tried to implement the QR algorithm for non-symmetric matrices with complex entries to show to my students. The main part of the implementation was standard: the Householder reduction to the ...
fedja's user avatar
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-1 votes
1 answer
62 views

An example of a matrix whose eigenvalues fullfill 'No-resonance' condition

No-resonance for a matrix is defined in terms of its eigenvalue as (last para page-3 in ref.): $$\lambda_i \neq \sum_{j=1}^N m_j\lambda_j;\ \forall m_j\in \mathbb{Z}\ \ and\ m_j\geq 0$$ $$such\ that\ \...
108_mk's user avatar
  • 101
0 votes
0 answers
92 views

Second largest eigenvalue of graph

Let $G$ be a connected $d$-regular n-vertex graph and let $k:= k(n)\in \mathbb{N}.$ Given a Non-empty set of vertices $\phi\neq B\subseteq V(G),$ how can I prove that all but at most $\frac{\lambda_2|...
David's user avatar
  • 53
0 votes
1 answer
131 views

Function of eigenvalues of Laplacian matrix

Let $G$ be a simple $n$-vertex graph and let $\mu_n\geq\mu_{n-1}\geq\dots\geq\mu_1$ be the eigenvalues of its Laplacian matrix, how can I find a function $$f(\mu_1,\mu_2,\dots\mu_n) \text{ such that } ...
David's user avatar
  • 53
3 votes
1 answer
87 views

Low rank perturbation of non-Hermitian $A$, where all eigenvalues are real

Suppose $A,E$ are Hermitian $(n \times n)$-matrices and $E$ is of low rank. There are well known results bounding the difference in spectra of $A$ and $A+E$. For example the Eigenvalue Interlacing ...
Ben Deitmar's user avatar
  • 1,295
1 vote
0 answers
64 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
72 views

Initial guess in shifted QR algorithm

I'm comparing timings of two implementations of algorithms for the computation of Gauss-Legendre nodes. 1 - The first is a Newton algorithm to find the roots of the Gauss-Legendre polynomials. Quite ...
G. Fougeron's user avatar
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
2 answers
397 views

How to show the following matrix has eigenvalues $-d,-d+1,...,d$?

Consider the following $(2d+1)\times (2d+1)$ matrix: $$ A = \begin{pmatrix} 0 &\frac{2d}{2} & 0 &0 & \cdots &0 & 0 \\ \frac{1}{2} & 0 & \frac{2d-1}{2} &0& \...
Quokka's user avatar
  • 25
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
2 votes
0 answers
81 views

Given a low-rank symmetric positive semidefinite matrix and a basis of its nullspace, is there a fast way to get the nonzero eigenvalues?

I have a (possibly dense) $k\times k$ real matrix $L = AA^T + B^T B$, a type of combinatorial Laplacian (self-adjoint, symmetric, positive semidefinite) of rank $(k-n)$ and possibly repeated nonzero ...
BenJones's user avatar
2 votes
0 answers
143 views

Convergence of eigenfunctions

In their 1999 paper "Sturm-Liouville operators with singular potentials", Savchuk and Shkalikov prove the uniform resolvent convergence of an operator $L_\varepsilon \rightarrow L$ for $\...
builtdifferential's user avatar
1 vote
0 answers
81 views

The Discrete Fourier Transform (DFT) decomposes any signal into four orthogonal signal components [closed]

Let $F=(w^{kl})_{k,l=0}^{n-1}$ be the discrete Fourier matrix of size $n$ where $w=\exp\left(-\frac{2\pi i}{n}\right)$. It is a well-known that $F_n^4 = I_n$ where $I_n$ represents the identity ...
ABB's user avatar
  • 4,058
0 votes
1 answer
91 views

Matrix quantization and effect on singular values

Let $A$ and $B$ be an $N\times n$ matrix with $n\le N$, and let $\sigma_1(X),\dots \sigma_n(X)$ denote the singular values of $X\in \{A,B\}$. Do we have upper and lower bounds for $$ \| \sigma_i(A)-\...
ABIM's user avatar
  • 5,405
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