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0 answers
13 views

I encountered a weird problem when trying to study a few properties of eigenvectors of matrices sampled from the Gaussian symplectic ensemble (GSE). I have encountered this while trying to understand ...
Erosannin's user avatar
  • 310
0 votes
0 answers
71 views

I am studying a generalized eigenvalue problem which can be partitioned as $$ \left[ {\begin{array}{*{20}{c}} {{A_{11}}}&{{A_{12}}}\\ {{A_{21}}}&{{A_{22}}} \end{array}} \right]\left[ {\begin{...
Morgan's user avatar
  • 1
1 vote
0 answers
12 views

Say we have a matrix $A = L + \beta^{2} M$, where $\beta$ is a real scalar. The matrices $L$ and $M$ are symmetric positive semi-definite and symmetric positive definite respectively. I am interested ...
prananna's user avatar
0 votes
0 answers
53 views

I’m studying generalized eigenvalue problems of the form $A x = \lambda B x$, and I’m particularly interested in defective eigenvalues—those with fewer linearly independent eigenvectors than their ...
xristos geo's user avatar
2 votes
0 answers
55 views

I've been thinking about a particular kind of "generalized eigenvalue", in the following sense: Suppose we have two vector spaces $V_1$ and $V_2$, and let $A$ be a matrix over $V_1$. The &...
AwkwardWhale's user avatar
3 votes
1 answer
125 views

This question comes from when I was learning about quantum groups. I want to know the basis of generalized eigenspaces with tensor products Assume that $\phi_m(m\ge 0)$ are operators with $\phi_n\...
fusheng's user avatar
  • 1,238
0 votes
1 answer
55 views

I am trying to understand the proof of Theorem 8.31 in Linear Algebra Done Right, 4th edition. Below is the theorem. Suppose 𝐅 = 𝐂 and $𝑇 ∈ L(𝑉)$. Suppose $𝑣_1,...,𝑣_𝑛$ is a basis of $𝑉$ ...
goallin goforbroke's user avatar
0 votes
0 answers
52 views

I'm reading Brian Hall's Quantum theory for Mathematicians, and when discussing the position operator $f(t)\to t f(t)$, for each $f\in L^2([0,1])$, he notes that there are no true eigenvectors, but ...
user124910's user avatar
  • 3,355
1 vote
1 answer
74 views

I am trying to figure out what is going wrong when computing the Jordan normal form for $$A=\begin{bmatrix} 3 & 0 & 1 & -1 \\ 0 & 3 & 1 & 0\\ 0 & 0 & 3 & 1\\ 0 &...
Ryan A's user avatar
  • 13
0 votes
1 answer
79 views

Given $A = \begin{bmatrix} 0 & -4 & 0 & -1\\ 0 & 2 & 0 & 0\\ 0 & 0 & 0 & 0\\ 4 & 8 & -12 & 4\end{bmatrix}$ With a characteristic ...
Skuba's user avatar
  • 29
1 vote
1 answer
163 views

I am trying to understand the proof of Theorem 2 from Paul R. Halmos's Finite-Dimensional Vector Spaces ($\S{58}$ Jordan form, pp 113-114) which is part of the proof of generalized eigenspace ...
Bara Like's user avatar
2 votes
1 answer
122 views

Let $V, W$ be vector spaces over a field $K$ of finite dimension. $f: V\to V$ and $g: W\to W$ are linear transformations. $\phi: V\to W$ is a surjective linear map such that $\phi f=g\phi$.$V\supseteq ...
Rai yu's user avatar
  • 53
2 votes
1 answer
84 views

I am reading about Linear Discriminant Analysis, especially Fisher's discriminat function which solves and optimization problem $Max\dfrac{w^TS_Bw}{w^TS_Ww}$. Lets say i have a two class problem. The ...
Upstart's user avatar
  • 2,712
1 vote
0 answers
96 views

Assume there is a matrix which has elements with a normal distribution. How to find a matrix which every element can only be -1, 0, or 1 such that it has closest eigenvalues to the original matrix. ...
Roy's user avatar
  • 303
0 votes
1 answer
99 views

Consider the matrix valued function $A: \mathbb R \rightarrow \mathbb R^{n \times n}$. For a particular $x \in \mathbb R$, $A(x)$ has Eigenvalues $\lambda_1, \dots, \lambda_n$. Is it possible to ...
Trb2's user avatar
  • 514

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