Tagged Questions
1
vote
1answer
51 views
Fast way to calculate Eigen of 2x2 matrix using a formula
I found this site: http://www.math.harvard.edu/archive/21b_fall_04/exhibits/2dmatrices/index.html
Which shows a very fast and simple way to get Eigen vectors for a 2x2 matrix. While harvard is quite ...
1
vote
1answer
39 views
Solve a System with Variable
Given these matrices, how does one find two real solutions?
$dx/dt$ =
$\begin{bmatrix}
3 & -5\\
5 & 3
\end{bmatrix}x$
with $x(0) = \begin{bmatrix}
2\\
-3
\end{bmatrix}$
1
vote
1answer
39 views
Same eigenvalues, different eigenvectors but orthogonal
I am using a two different computational libraries to calculate the eigenvectors and eigenvalues of a symmetric matrix. The results show that the eigenvalues calculated with both libraries are exactly ...
0
votes
2answers
51 views
Common eigenvector of two linear transformation matrices
I have two linear transformation matrices
\begin{pmatrix}
3 & 2 \\
-2 & 1
\end{pmatrix}
and
\begin{pmatrix}
1-a & -a \\
a & 1
\end{pmatrix}
How to find out what the value of ...
1
vote
1answer
44 views
generalized eigenvector for 3x3 matrix with 1 eigenvalue, 2 eigenvectors
I am trying to find a generalized eigenvector in this problem. (I understand the general theory goes much deeper, but we are only responsible for a limited number of cases.)
I have found ...
3
votes
2answers
74 views
Diagonalising a $2 \times 2$ and $3 \times 3$ matrix
For each of the following matrices $A$, find an invertible matrix $P$ over $C$ such that
$P^{-1}AP$ is upper triangular:
$$A = \begin{bmatrix}4 & 1\\-1 & 2\end{bmatrix} \quad \text{ ...
0
votes
1answer
34 views
Normal matrices with orthogonal basis
we have a theorem that says that each REAL normal matrix can be written in terms of an orthonormal basis, so that it has its eigenvalues down the diagonal and 2x2 matrices of the form $\begin{pmatrix} ...
2
votes
1answer
53 views
Linear Algebra - Can I use RREF to solve augmented matrix for eigenvector?
I am solving David Lay's 4th edition 7.1 number 16. So here's the problem. The original matrix: $$\begin{bmatrix}-7 & 24 \\ 24 & 7\end{bmatrix} \ ,$$ with eigenvalues $\pm 25$.
I am having ...
1
vote
0answers
23 views
Deriving left eigenvector from the left eigenvector of transpose
How would I find the left eigenvector of A * A' if the left eigenvector of of A' * A is v?
1
vote
0answers
46 views
Vandermonde question
I'm studying time series analysis and in my book I came a cross with the following proof (The proof is actually the last page, but I posted as much information as possible on the problem):
I have ...
0
votes
2answers
34 views
Does a constant eigenvalue of a linearly parameter-dependent matrix have a constant eigenvector?
Let $A(\alpha)=A_0+\alpha A_1$, with $A_0,A_1\in\mathbb R^{n\times n}$ and $\alpha\in\mathbb R$, such that there exists a $\lambda\in\mathbb C$ with the property that
for all $\alpha$: $\det(\lambda ...
0
votes
1answer
63 views
Eigenvector with eigen value of 1
How is an eigenvector with eigen value of 1, say v, multiplied by its transpose the identity matrix? v' * v = I?
-1
votes
1answer
25 views
diagonalizing a matrix $A$: can $P$ be bigger than $A$?
can you have a P bigger than the original A matrix? in other words after I found the eigenvalues I then found all the eigenvectors so when I constructed the P vector turns out to be bigger than my ...
1
vote
2answers
59 views
Eigenvector of matrix of equal numbers
For matrix the matrix
$$A = \begin{bmatrix}
3&1&1\\
1&3&1\\
1&1&3\\
\end{bmatrix}$$
with eigenvalues $\lambda_1=5$, $\lambda_2=2$, $\lambda_3=2$, I am trying to find the ...
0
votes
0answers
33 views
Diagonalizing the sum of a matrix and a multiple of the identity matrix
Suppose we have a matrix $A = B+\lambda I$, where $B\in \mathbb{R}^{n\times n}$, $I$ is the identity matrix and $\lambda\in \mathbb{R}$. If I know the eigenvalues and eigenvectors of $B$, what can I ...
0
votes
2answers
25 views
Matrix multiplication and eigen vectors
If $a$ is a right eigenvector of $S$ and $R^T$ with eigenvalue $1$. How would determine $a^TRSa$? Is $Sa$ simply $a$? Any hints that apply here would be greatly appreciated.
0
votes
0answers
21 views
Properties of eigenvectors
If a is a right eigenvector of Z and b is a right eigen vector of Y, is a * b' a right eigenvector of Z * Y?
2
votes
2answers
64 views
Eigenvalues and Eigenvectors of $X'X$ and $XX'$
I am trying to derive (or prove) the relationship between the eigenvalues and eigenvectors of the matrices $X'X$ and $XX'$. It is fairly intuitive that they are related but I cannot derive the ...
0
votes
0answers
20 views
Simultaneous orthogonalization for rectangular matrices?
Say that I have two linearly independent vectors in 3 dimensions, $\vec{a}_1$ and $\vec{b}_2$:
$$\vec{a} = \left[a_{1},\ a_{2},\ a_{3}\right]$$
$$\vec{b} = \left[b_{1},\ b_{2},\ b_{3}\right]$$
Using ...
3
votes
2answers
49 views
Linear algebra, eigenvectors problem
Suppose you know that A is $2x2$ and symmetric.
Assume the eigenvalues are $4$ and $7$.
An eigenvector for $4$ is the vector $(3, -4)$. What is an eigenvector for $7$?
So first we let ...
1
vote
0answers
40 views
Help find a proof : $ \lambda $ is $f$'s eigenvalue then $f|_{V_{\lambda}} $ has Jordan's basis
Could you help me find a fairly simple proof of the following theorem?
$f: V \rightarrow V, \ \ \dim V < \infty, \ \ \lambda$ is $f$'s eigenvalue $\Rightarrow \ \ f|_{V_{\lambda}}: \ V_{\lambda} ...
2
votes
3answers
64 views
Finding eigenvectors with square root eigenvalues
I have a matrix
$$\begin{bmatrix}1 &-1 &2\\2 &-2 &4\\0 &1 &1\end{bmatrix}$$
Its eigenvalues are $0$, $\sqrt{5}$ and $-\sqrt{5}$
(These are checked in MATLAB to be correct). I ...
0
votes
5answers
55 views
Having Difficulty Finding Eigenvectors
I'm having a lot of problems with the following problem in Steven J. Leon's "Linear Algebra with Applications" 8th edition. Problem 6.1.1.I asks the reader to "find the eigenvalues and the ...
0
votes
1answer
85 views
Finding the Matrix Power of a matrix and limit
Find the matrix power, $A^k$, of
$$A=\begin{pmatrix}a & 1-a \\ b & 1-b\end{pmatrix}$$
$$D=P^{-1}AP$$
$$A^k=PD^kP^{-1}$$
I think that
$$P=\begin{pmatrix}1 & \frac{a-1}{b} \\ 1 & ...
0
votes
1answer
42 views
Hermitian matrices [duplicate]
Suppose we have a hermitian matrix $H$, and a matrix $A$ composed of eigenvectors of $H$, such
that
$\langle A_i \mid A_i \rangle =1$, where $A_i$ is the $i$-th column of matrix H.
How to prove ...
1
vote
3answers
31 views
Calculate eigenvectors
I am given the $2\times2$ matrix $$A = \begin {bmatrix} -2&-1 \\\\ 15&6 \ \end{bmatrix}$$
I calculated the Eigenvalues to be 3 and 1. How do I find the vectors? If I plug the value back into ...
1
vote
1answer
110 views
Hermitian Matrices are Diagonalizable
I am trying to prove that Hermitian Matrices are diagonalizable.
I have already proven that Hermitian Matrices have real roots and any two eigenvectors associated with two distinct eigen values are ...
2
votes
2answers
57 views
Dimension of the corresponding eigenspace?
I'm studying for my linear exam and would appreciate any help for this practise question:
You are given that λ = 1 is an eigenvalue of A. What is the dimension of the corresponding eignspace?
A = ...
0
votes
0answers
35 views
A Has characteristic polynomial that can be reduced to linear products $\Rightarrow$ A similar to upper triangular Matrix
Prove that if $A\in M_{n}\left(\mathbb{F}\right)$ matrix with a characteristic polynomial that can be written as a product of linear elements (?) ...
2
votes
2answers
37 views
Generalised eigenvalue is eigenvalue if it is in the field
I would like to prove the following assertion:
Let $\mathscr{F}$ be a field and $\mathscr{\phi}$ be an $\mathscr{F}$-linear endomorphism of a finite dimensional $\mathscr{F}$-vector space ...
3
votes
1answer
33 views
Convergence of eigenvalues $\lambda_{i}^k$
I've been trying to solve this for a while now but can't seem to figure it out. My initial intuition is to just calculate the limit of $\lambda_{2}^k$ using de Moivre's formula like so:
$\lim_{k\to ...
2
votes
1answer
41 views
Finding $A^n$ in terms of $P$ and $D$ (diagonalized)
My question is regarding the last two parts. I have Found $D$ and $P$, how can I obtain $A^{200}$ and det $(A^{200})$ form $PDP^{-1}?$ Thanks!
0
votes
1answer
49 views
Finding eigenvalues and eigenvectors
Find the eigenvalues and eigenvectors for the matrix A = (1,2,0), (-1,-2,1), (2,4,1). I end up with the polynomial x^3-5x=0 and no exact solution.
2
votes
1answer
52 views
Eigenvectors and Principal component
What is the difference between eigenvectrors and principal component. I got confused about this point because some researches reported that the principal components are the same eigenvectors of ...
1
vote
2answers
47 views
Eigenvectors and Kernel of Matrix
I'm trying to take find the eigenvectors of the matrix
$$
\begin{bmatrix}
1 & 1 & 0 \\
0 & 1 & 0 \\
0 & 0 & 0
\end{bmatrix}.
$$
I've found the eigenvalues of $1$ and $0$. I'm ...
2
votes
1answer
30 views
How do I generate my linear transformation matrix in this example?
Let $T$ be the linear transformation of space of polynomials $P^3$ given by
$$T(a + bx + cx^2) = a + b(x + 1) + c(x + 1)^2$$
Find all eigenvalues and eigenvectors of $T$.
2
votes
2answers
32 views
The connection between the rank of a matrix and its zero-mode eigenvectors
I would be most thankful if you could help me prove that if an arbitrary n by n matrix has rank m < n, then the matrix has (n-m) linearly independent eigenvectors corresponding to the eigenvalue ...
1
vote
1answer
95 views
A question on Eigenvalues and Eigenvectors
Hey I need quite a bit of help, I know the question might seem easy, but I'm confused with the wording.
I know that the rule is $Av = \lambda(v)$.
Since there are two eigenvalues, I am assuming ...
1
vote
1answer
51 views
Different geometrical concepts of vectors
I'm a bit confused about the various geometric concepts of vectors.
I'm mainly trying to understand if we can classify any vector into one of two categories.The first category would be free ...
3
votes
1answer
46 views
Eigenvalues and Eigenvectors Diagonilization
Let $ A=\begin{bmatrix}
-7 & -1 \\
12 & 0 \\ \end{bmatrix} $ . Find a matrix $ P $ and a diagonal matrix $D$ such that $PDP^{-1} = A$.
Ok so the first thing I need to look ...
3
votes
2answers
63 views
Solving for eigenvectors (Introduction to Linear Algebra by Serge Lang, example 2 page 240)
In "Introduction to Linear Algebra" by Serge Lang, example 2 page 240, there is the matrix $\begin{pmatrix}1&4\\2&3\end{pmatrix}$. The characteristic polynomial is $(t-5)(t+1)$. The system to ...
2
votes
3answers
60 views
Why is MATLAB giving me these weird eigenvectors?
I am doing a problem which involves finding the eigenvalues and eigenvectors of the matrix $$
M=\begin{bmatrix}
0 & 1/2 & 1/2 \\
1/2 & 0 & 1/2 \\
1/2 & 1/2 & 0
\end{bmatrix}$$
...
0
votes
0answers
35 views
Limit of $A^k b$ for $k$ large
My textbook references the fact that for any matrix $A$ and any non-zero $b$ we have $$\lim_{k\rightarrow \infty} A^k b = v$$ Where $v$ is the eigenvector of $A$ with the largest eigenvalue. The proof ...
1
vote
1answer
68 views
Finding the eigenvalues and the eigenvectors
The matrix:
$$
A=\begin{pmatrix}
1 & -1 & 1 \\
-1 & 1 & -1 \\
-1 & 1 & -1 \\
\end{pmatrix}
$$
has two real eigenvalues, one of ...
3
votes
1answer
84 views
Diagonalizable Matrix $A^2$
How can I find a matrix $A$ such that $A^2$ is diagonalizable but $A$ is not?
I have tried many different ways, but to no avail. Is there something that I am missing in the question that gives a ...
1
vote
1answer
77 views
How do you find the (complex) eigenvalue and each eigenspace over C
My book only has eigenvalue and eigenspace and does not say anything about complex eigenvalue and eigenspace.
$$A = \begin{pmatrix} 0&4\\-1 & 0 \end{pmatrix}\hspace{10pt}B =\begin{pmatrix} ...
0
votes
1answer
47 views
Bounding the smallest eigenvalue of an ergodic Markov Chain
I am trying to prove that the smallest eigenvalue of an ergodic Markov chain is greater than -1. Can we do that using proof by contradiction, i.e. assuming the smallest eigenvalue being -1, etc.? The ...
1
vote
1answer
101 views
An eigenvector is a non-zero vector such that…
Various sources define eigenvalues and eigenvectors in slightly different ways (context independent). For example, both of the following definitions seem not to exclude the zero-vector as an ...
1
vote
1answer
37 views
Diagonalizing a matrix M in an invariant subspace to find eigenvectors
Suppose we have a matrix M, and some subspace W which is invariant under M. Suppose W = span(a, b) where a and b are vectors. If we know what the action M on a and b results in (say some linear ...
1
vote
0answers
54 views
The value interpretation of eigenvectors.
My question is may be strange but I wanna lie it any way.
The direction of an eigenvector is the most important as we normalize it. This view is right but what about the value of this eigenvector in ...
