Skip to main content

All Questions

1 vote
0 answers
21 views

How to show a matrix DAD has distinct eigenvalues, where D is a diagonal matrix and A is a highly structured matrix

If D is a positive diagonal matrix with well-separated diagonal entries (in particular, $(1 + k) |D_{i - 1, i - 1} < D_{i, i} < (1 - k) D_{i + 1, i + 1}$, where $k$ is a constant and the ...
Stephen Jiang's user avatar
0 votes
0 answers
9 views

Eigenvalue Spectrum of a non-Hermitian Matrix by a Hermitian Matrix Perturbation

Let $H_{eff}$ be a $n$ dimensional matrix defined by the eigenvalue spectrum $\Lambda$: $$\Lambda(H)_n=\Lambda(H_n+H_{eff}),$$ Where $H$ is a infinite dimensional matrix, $\Lambda(H)_n$ are its lowest ...
do.t.rian's user avatar
0 votes
2 answers
37 views

Sensitive eigenvectors to small perturbations in the matrix?

I've encountered a mathematical issue in my research. To provide some context, I have a known density matrix that I am reconstructing numerically using quantum data. The rebuilt matrix has ...
Kobamschitzo's user avatar
0 votes
0 answers
12 views

Eigenvalue/eigenvector sensitivity in multidimensional scaling

From classical multidimensional scaling, a Cartesian coordinate matrix can be obtained as $\mathbf{X} = \mathbf{V} \mathbf{\Lambda}^{1/2}$, where $\mathbf{\Lambda}$ is a diagonal matrix of eigenvalues ...
TobiR's user avatar
  • 528
2 votes
1 answer
50 views

A case problem about rank-1-perturbation of diagonal matrices

I have the following prediction for rank-1 perturbations of diagonal matrices, but I don't know how to prove (or disprove it). Given $v:= [v_1,...,v_K] \in (0,1]^K$, we define $a:= \sum_{k=1}^K v_k = \...
abcxyzf's user avatar
  • 181
0 votes
0 answers
40 views

Convergence rate of eigenvectors for perturbed matrices

Let $f(s)= (f_{1}(s),\ldots,f_{d}(s)), s \in \mathbb{R}^d, \textbf{o} \le s \le \textbf{1}$, be vector of probability generating functions, were each entry has finite third moments. Consider matrix of ...
Taras's user avatar
  • 1
0 votes
0 answers
24 views

Question related to isolated eigenvalue of a Hermitian operators

This picture is from the paper of F. J. Narcowich "Narcowich, F.J., 1980. Analytic properties of the boundary of the numerical range. Indiana University Mathematics Journal, 29(1), pp.67-77."...
Bikhu's user avatar
  • 78
1 vote
0 answers
109 views

Derivative of Spectral Radius of Matrix $\exp(A(t))$

I am faced with the practical problem of solving a system $$\rho(\exp(A(t))) = 1$$ numerically, where $\rho$ signifies the spectral radius of the matrix $A(t) = B+ \frac{C}{t},$ $t \in (0, \infty)$. ...
Paul Joh's user avatar
  • 569
1 vote
1 answer
144 views

Applying WKB Method for a Fourth Order Schrodinger Like Equation

I was trying to apply the WKB method to analyze the approximate eigenvalue condition for the Schrodinger like equation \begin{equation} \varepsilon^{4} y^{(4)} = (E-V(x))y, \quad y(\pm \infty) = 0, V(...
theo's user avatar
  • 13
0 votes
0 answers
38 views

Number of distinct discrete eigenvalues of a self adjoint operator after compact perturbation increases.

Let $T$ be a self adjoint operator on a complex separable Hilbert space $H$. Let $K$ be self adjoint compact operator. So, $T+K$ is also self adjoint operator. I want to know for what $K$ the number ...
Bikhu's user avatar
  • 78
0 votes
0 answers
42 views

Relation between elements of essential spectrum and the eigenvalue of a self adjoint operator

Relation between elements of essential spectrum and the eigenvalue of a self adjoint operator. In particular, is there any way we can say that the element of essential spectrum is an eigenvalue of ...
Bikhu's user avatar
  • 78
0 votes
0 answers
37 views

Leading eigenpair of degenerate non-symmetric matrix

Consider a non-symmetric matrix ${\bf A}_0$ with one eigenvalue $\lambda$ and all other eigenvalues are zero. The corresponding left $\bf u$ and right $\bf v$ eigenvectors to the eigenvalue $\lambda$ ...
Matt's user avatar
  • 135
1 vote
0 answers
23 views

Finding the minimum eigenvalue of $A+itB\in \mathbb{C}^{n\times n}$

Suppose $A$ and $B$ are $n\times n$ real square matrices and further assume that $A$ and $B$ are symmetric. And now let $\lambda_A$ be the smallest eigenvalue of $A$. Question : I want to know how $\...
Lev Bahn's user avatar
  • 2,908
2 votes
0 answers
195 views

Eigenvalues after Diagonal Perturbation

I was looking into how perturbation changes eigenvalues of a given symmetric matrix, and I came across lot of results regarding off-diagonal perturbation. But how does diagonal perturbation affect ...
Arjo's user avatar
  • 256
2 votes
0 answers
38 views

Given the eigendecomposition of a positive semidefinite, singular matrix $A$, how to determine if a small perturbation $A + \delta A$ is indefinite

Given the eigendecomposition of a positive semidefinite, singular matrix $A$, is there a good way to determine if a small perturbation $A + \delta A$ is indefinite? Here, the perturbation $\delta A$ ...
wyer33's user avatar
  • 2,572

15 30 50 per page
1
2 3 4 5
7