Questions tagged [eigenvalues-eigenvectors]

Eigenvalues are numbers associated to a linear operator from a vector space $V$ to itself: $\lambda$ is an eigenvalue of $T\colon V\to V$ if the map $x\mapsto \lambda x-Tx$ is not injective. An eigenvector corresponding to $\lambda$ is a non-trivial solution to $\lambda x - Tx = 0$.

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Eigenvalues of $8\times8$ non-diagonal matrix $A$ satisfying $A^2 - 6A + 9I_8 = 0_8$

In an exam today I had the following problem: Let $A \in M_{8}(\mathbb{R})$ ($8\times8$ matrix with real entries) satisfying $$A^2 - 6A + 9I_8 = 0_8$$ Find the eigenvalues of $A$. My approach If $\...
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Diagonalization of complex, symmetric but defect matrices

Real symmetric matrices (not Hermetian $M^\dagger = M$, but symmetric $M^T = M$) can according to Autonne–Takagi factorization, as described here, be diagonalized. Thus, we can find a unitary matrix $...
Martin Johnsrud's user avatar
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Can the block-Lanczos algorithm possibly converge faster than the single-vector Lanczos?

We use the Lanczos algorithm for finding eigenvalues and eigenvectors of large sparse real matrices to model atomic nuclei. However, for heavier nuclei and their higher energy states, the matrix ...
Daniel Langr's user avatar
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Where are the formulas for frequency $\omega=\sqrt{\lambda_1 \lambda_2}$, period $T=2\pi/(\sqrt{\lambda_1 \lambda_2)}$

Where are the formulas for frequency $\omega=\sqrt{\lambda_1 \lambda_2}$, period $T=2\pi/(\sqrt{\lambda_1 \lambda_2)}$ got from? For e.g. Lotka-Volterra system and associated Jacobian and eigenvalues/-...
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can the eigenvalues of a symmetric tensor be complex?

Let $T$ be a fully symmetric tensor of rank $3$ and size $N$. Using the following definition of eigenvalues, let $x\in \mathbb{C}^N$ and $\lambda\in\mathbb{C}$ such that: \begin{equation} \sum_{jk}^...
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best way to show tr(AB) = tr(BA) for non square A and b matrices

I have matrices $A \in \mathbb{K}^{n \times m}$ and $B \in \mathbb{K}^{m \times n}$ What is the best way to prove that tr(AB) = tr(BA). I found a prove in Matrix Analysis by Horn and Johnson, but they ...
trsommer's user avatar
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Can I use Weinstein–Aronszajn identity to show that the eigenvalues of AB and BA are the same?

I have the matrices $A \in \mathbb{K}^{n \times m}$ and $B\in \mathbb{K}^{m \times n}$ . Can I use the Weinstein–Aronszajn identity to show that $AB$ and $BA$ have the same non-zero eigenvalues? If so,...
Confusion Overload's user avatar
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Eigenvalues of a linear transformation $M_{2,2}\ \rightarrow M_{2,2}$

I took linear algebra years ago, and for various reasons I'm going back to re-learn it. In that process, I came across the following question in an old exam from the course I once took: A linear ...
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Finding the characteristic polynomial of this matrix

I have a question about this post. How can we know that the geometric multiplicity of the eigenvalue $\lambda=0$ is $n-1$? I get that $0$ is an eigenvalue of $A$ because $\textrm{det}A=0$, but I can't ...
Lord Vader's user avatar
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Calculating eigenvectors of a 3x3 symmetric matrix from Cayley–Hamilton theorem?

Let's say I have a 3x3 real symmetric matrix M and I have its three eigenvalues $\alpha_1, \alpha_2, \alpha_3$ and that $\alpha_1 < \alpha_2 < \alpha_3$. (Notice all eigenvalues are different). ...
Andrew Tomazos's user avatar
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conditions for which matrix has all eigenvalues inside unit circle or on the unit circle

$\mathbf{M}=\begin{bmatrix} \mathbf{y}&0&0&\cdots&0&0&\mathbf{x}\\ \mathbf{I}&0&0&\cdots&0&0&0\\ 0&\mathbf{I}&0&0&0&0&0\\ 0&...
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Two different decomposition of scaled identity matrix

Let $\mathbf{\Sigma} = (1/2)I_2$ where $I_2$ is the $2 \times 2$ identity matrix. Give two different selections for $\lambda_1, \lambda_2 \in \mathbb{R}_{\geq 0}$ with $\lambda_1+ \lambda_2 =1 $ and $\...
Neelkanth Kundu's user avatar
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238 views

Eigenvalues of a particular block circulant matrix

I need to compute all the eigenvalues of the following block-circulant matrix for a research. Can anyone help me compute the eigenvalues of the following matrix? $$\left[\begin{array}{l}2I&-I&...
Probabilist's user avatar
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Does eigenvalues of matrix change after multiplication by unitary matrix?

For a matrix $A \in \mathbb{C}^{n \times n}$, does multiplication by a unitary matrix $U$ change the eigenvalues of $A$? So for: $$Ax = \lambda x \qquad \mathrm{and} \qquad AUy = \mu y $$ does $\...
James Wright's user avatar
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Eigenspace of a specific eigenvalue

I am computing eigenvalues and eigenfunctions of Laplacian on a unit square $[0,1]^{2}$ numerically. Consider the eigenvalue problem with the Dirichlet boundary condition that is, $$L u(x, y) = \...
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How does permuting rows and columns change the eigenvectors of a matrix?

Let $A\in\mathbb{R}^{n\times n}$ be any matrix and let $P\in\mathbb{R}^{n\times n}$ be a permutation matrix. Left multiplication of $A$ by $P$ corresponds to permuting the rows of $P$. On the other ...
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2 answers
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Finding eigenvalue of a matrix expression

Consider the following matrix $A=\left[\begin{array}{lll}1 & 0 & 0 \\ 2 & 3 & 0 \\ -3 & 1 & -2\end{array}\right]$ How can I find the eigenvalues of $3 \mathrm{~A}^{3}+5 \mathrm{...
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The Eigenvalues of a block matrix with nonzero blocks

Let $M$ be a block matrix: $$ M = \left(\begin{array}{cc} A & B \\ C & D \end{array}\right) $$ Is there any relation between eigenvalues of $M$ and eigenvalues of matrices $A, B, C,$ and $D$? ...
FA mn's user avatar
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3 answers
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Proving that $1+λ^2$ is an eigenvalue of $I+A^2$ where $λ$ is an eigenvalue of matrix $A$

So $Ax = λx$; $A(Ax) = λ(Ax) \to (A^2)x = (λ^2)x$ I kind of dont know how to get the $1$ and $I$ here... Any help is appreciated
tothemoon's user avatar
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Given some of the eigenvalues and corresponding eigenvectors reconstruct the entire matrix.

Given a symmetric matrix $A$ that has eigenvalues $4, 3, 2,$ and $2$ and the eigenvectors belonging to the eigenvalues $4$ and $3$. Provide a procedure to reconstruct the entire matrix. Since the ...
user13's user avatar
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Finding an eigenvector given other eigenvectors for JNF

I want to find the Jordan Normal Form of the matrix $$M=\begin{pmatrix} 19 & -7 & -1 & 5 & -7 \\ 3 & 9 & -1 & 3 & -5 \\ -...
lamasabachthani's user avatar
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number of matrices with a single nullspace point

Suppose I fix a vector $v\in \mathbb{R}^n$. I want to count the number of maximal rank (in this case $n-1$) linearly independent matrices $A_1,\ldots,A_m$ for which $v$ lies in the nullspace of $all$ ...
Annonymous's user avatar
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1 answer
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How to find the eigen vector of a system that does not have similar equations?

Suppose I am trying to solve for an eigenvector provided my matrix $$A=\left( \begin{array}{cc} 2 & 7 \\ 7 & 2 \\ \end{array} \right)$$ eigenvalues are $9$ and $-5$ How can I get an ...
Naman Jain's user avatar
2 votes
1 answer
958 views

Eigenvector and eigenvalue for power of matrix, will eigenvectors remain the same?

I understand that if you raise a matrix $ A $ to let's say a power of 5, assuming that $ A$ is a 3 x 3 matrix and has 3 distinct eigenvalues, each of the eigenvalues will also be raised to the power ...
matrices and shit's user avatar
0 votes
3 answers
1k views

Can two eigenvectors share one eigenvalue?

I apologize in advance for the mess. This is my attempt. The matrix in question is \begin{align} \textbf{A} = \frac{1}{100}\cdot\begin{pmatrix} 92 & 0 & -144 \\ 0 & 100 & 0 \\ -144 &...
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Matrix Powers A^k - Eigenvalues and Eigenvectors - Chapter 6 Gilbert Strang

I confused about the formula below: It's different from his lecture note. Why it's different? It doesn't matter the order?
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2 answers
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Can there be a different Eigen vector for a particular Eigen value?

Please see the photo. Here, my answer came $k$ $\begin{bmatrix} 1\\ 1\\ -1 \end{bmatrix}$ But their answer is given : $k$ $\begin{bmatrix} ...
Srijoy_paul's user avatar
5 votes
1 answer
273 views

PCA for image analysis - Eigendecomposition VS SVD

I have learned about two different ways of doing PCA, one using Eigendecomposition and the other (IMO more intuitive) using SVD. Although both are "just" a change of basis, I struggle to see ...
iMrFelix's user avatar
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Which of the statements is not necessarily true?

Let $A$ be a $3\times3$ matrix and $u, v, w$ be linearly independent vectors in $\mathbb{R}^3$ such that: $Au = 2u, Av = 2v, Aw = 0$. Which of the statements are NOT necessarily true? Option 1: $w$ is ...
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Eigenvalues/Eigenvectors of operators on a Fock space

Suppose we have an operator defined by $$S_0 = 1, \ S_n = 1_2^{\otimes n-1}\otimes X^n,$$ where $X = \begin{pmatrix} 0&1 \\ 1&0 \end{pmatrix}$, $1_2$ is the $2\times 2$ identity matrix and $n&...
CS1994's user avatar
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Solving periodic ODE with finite difference having strange results...

I was wondering if you could help me understand. I am trying to solve this eigenvalue problem numerically via finite difference (I've solved it already using a spectral method). \begin{equation} i \...
Catherine Drysdale's user avatar
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Prove the existence of a sequence of eigenvectors

Let $(A_n),(B_n)$ be two sequences of $n\times n$ (growing sizes) symmetric real matrices. Suppose that their difference $\Delta_n:=A_n-B_n$ statisfies $$||\Delta_n||\to 0 \text{ as } n\to \infty,$$ ...
Alphie's user avatar
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2 votes
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Orthogonality with respect to random eigenvector

Let $A$ be an $n\times n$ real positive semi-definite random matrix. Let $x$ be the $n\times 1$ normalized eigenvector corresonding to its largest eigenvalue. Suppose I have a real random variable $z$ ...
Alphie's user avatar
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1 vote
1 answer
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Finding eigenvectors of matrix of matrices

Let $A$ be a matrix with $\lambda_1,...,\lambda_n$ eigenvalues, and $v_1,...,v_n$ the corresponding eigvenvectors. Let $B= \begin{pmatrix} 0& A \\ A& 0 \end{pmatrix}$. It's known that the ...
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How does elementary row-multiplication change the left eigenvector of an irreducible nonnegative matrix?

Let $M$ be an irreducible nonnegative matrix and $E$ be some diagonal matrix where all diagonal elements are positive. It is clear that $EM$ is another irreducible nonnegative matrix. Letting $\rho(M)$...
Bert Svensson's user avatar
1 vote
1 answer
176 views

Better bounds on Perron Root

I have a (column) substochastic regular nonnegative matrix ($P$) obeying the Perron-Frobenius theorem. I am interested in the bounds on the dominant eigenvalue (Perron root). I know that I can bound ...
Jacob A's user avatar
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maximum absolute column sum (column norm) of a matrix and its largest eigenvalue [closed]

Given a matrix $A\in\mathbb{R}^{n\times n}$. How to prove the following statement? $$||A||_{L_1}\leq \sqrt{n}\sigma_{\max}(A),$$ where $||A||_{L_1} = \max_{i\in\{1,...,m\}}||\mbox{col}_i(A)||_1$ and $\...
Hepdrey's user avatar
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2 answers
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How can we evaluate the characteristic polynomial with a matrix as the parameter?

For any polynomial p(x) = $a_0+a_1x+· · ·+a_kx^k$ and any square matrix A, p(A) is defined as p(A) = $a_0I + a_1A + · · · + a_kA^k$ . Show that if v is any eigenvector of A and $χ_A(x)$ is the ...
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4 votes
3 answers
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Eigenvalues of a matrix in relation to another matrix

Let $A,B \in \mathcal{M}_n(\mathbb{K}) $ (where $\mathbb{K} \in \{\mathbb{R},\mathbb{C} \} $) invertible matrices. Prove that if $\lambda = 0 $ is an eigenvalue of matrix $C$, where $C = BA - AB ~$ ...
HollowMan's user avatar
6 votes
1 answer
264 views

A semisimple Lie algebra has finitely many representation of a given finite dimension.

Let $\mathfrak{g}$ be a finite dimensional, semisimple Lie algebra, with Cartan subalgebra $\mathfrak{h}$. I want to show that $\mathfrak{g}$ has finitely many representations of dimension $n$, up to ...
Alessandro's user avatar
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Upper and Lower Eigenvalue Bounds for $X^{T} A X$

Let $A \in \mathbb{R}_{+}^{n \times n}$ be diagonal with $i$th diagonal element $a_{ii}$ (i.e. all $a_{ii} > 0$), and let $X \in \mathbb{R}^{n \times p}$ be a matrix with rank $p$ where $n \ge p$ (...
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Expectation value of an operator

I am new to quantum mechanics and have some questions regarding expectation values of operators. I have the non-degenerate eigenstates $|\psi_n \rangle $ of an operator $A$. I have the normalized ...
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2 votes
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Quadratic Form of $A^2, A^3$

Assume $A\in \mathbb{S}^n$ is a positive semi-definite matrix, and denote its eigenvalues by $\lambda_1 > \lambda_2 \ge ... \ge \lambda_n \ge 0$. Let $w\in \mathbb{R}^n$ be a unit vector such that $...
nono's user avatar
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Construction of characteristics polynomial

Suppose we have a matrix $A$ of order $n$. Let $\lambda$ be an eigenvalue of $A$ and $y$ be a corresponding eigenvector. Then from the relation $Ay = \lambda y$ we get some relation about the ...
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Find $\lim_{k\rightarrow \infty} A^k x$

Let $\displaystyle A=\left(\begin{matrix}.5&1\\0&.75\end{matrix}\right),x=\left(\begin{matrix}-2\\1\end{matrix}\right)$. Find $\displaystyle \lim_{k\rightarrow \infty} A^k x$ Find $\...
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Finding eigenvalues of block type matrix

If I know the eigenvalues of matrix $A$, is there any way to calculate eigenvalues of $B$ using some tricks? Here $A$ is an $m\times m$, $O$ is the zero matrix and $I$ denotes $m \times m$ identity ...
Hitendra Kumar's user avatar
1 vote
1 answer
502 views

Explanation on Google’s PageRank is Webpages as Eigenvectors

Help understand what is the matrix A and the vector x discussed below. Mathematics for Machine Learning Example 4.9 Google uses the eigenvector corresponding to the maximal eigenvalue of a matrix A ...
mon's user avatar
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2 answers
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Orthogonal on an ellipse

Consider two points $a \in \mathbb{R}^2$ and $b \in \mathbb{R}^2$ on the boundary of an ellipse such that $a^\top \Sigma^{-1} a = b^\top \Sigma^{-1} b$. I am trying to understand which points on the ...
Kumar's user avatar
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Degree of minimal polynomial when number of distinct eigenvalues are given

If a square matrix of order $ 10 $ has exactly $ 4 $ distinct eigenvalues, then degree of it's minimal polynomial is At least $ 4 $ At most $ 4 $ At least $ 6 $ At most $ 6 $ $ 4 $ distinct ...
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Question about spectral radius of a positive matrix

I am learning the Perron-Frobenius theorem from some lecture notes. Let $X \in \mathbb{R}^{n}_{++}$ be a square matrix with each element being strictly positive. The theorem says that the spectral ...
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