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Questions about the properties of vector spaces and linear transformations, including linear systems in general.
5
votes
Accepted
Orbits of exterior products
To the best of my knowledge, already for $n=3$ case (which probably is close, if not identical, to $n=\dim(V)-3$ because of the duality argument) the situation is far from clear for $\dim(V)$ starting …
1
vote
Accepted
quadratic form factorization
The coefficients are real if and only if (depending on whether or not $p_1x+p_2y+p_3z$ and $q_1x+q_2y+q_3z$ are proportional or not) such a quadratic form can be, by a coordinate change, brought to $\ …
20
votes
Is there a version of inclusion/exclusion for vector spaces?
One way to look at this question is via quiver representations. Two subspaces of a vector space form a representation of the quiver $A_3$ with orientations $\bullet \rightarrow \bullet \leftarrow \bul …
13
votes
Accepted
A strange matrix equality
Let us rewrite it using the commutators $[P,Q]=PQ-QP$, as follows:
$$
tr(B)[A^2,B]=tr(A)[A,B^2].
$$
Now, for matrices $X$ of size~$2$, we have $X^2=tr(X)X-det(X)I$ (a particular case of Cayley--Hami …
1
vote
Vector "product" diagonalization
The answer to your first question is - generally, it is not possible. For instance, let $V=\mathbb{C}$ viewed as a 2-dimensional vector space over $\mathbb{R}$, with the usual product of complex numbe …
1
vote
Relation between degree of root of determinant polynomial and rank of the matrix
From your more general question I infer that you want to look at the coset of your matrix in the quotient (not at evaluation at specific $x_1,\ldots,x_n\in\mathbb{F}_q$).
Without loss of generality, …
5
votes
Accepted
Can the concatenation of projection operators be nilpotent with an index k>=3?
I think your example is easily generalisable for any index. For example, let
$$
Q_1=P_1\oplus(1),
Q_2=P_2\oplus(1),
Q_3=P_3\oplus(1)=(1)\oplus P_1,
Q_4=(1)\oplus P_2,
Q_5=(1)\oplus P_3.
$$
Then $Q_5 …
4
votes
Vacuum vector and basis defined by anti-commuting operators
There is a general algebraic result which states that the abstractly defined associative $\mathbb{R}$-algebra with generators $X_1,\ldots,X_n$, $Y_1,\ldots,Y_n$ and relations
$$
X_iX_j+X_jX_i=0, \qua …
7
votes
Does the linear automorphism group determine the vector space?
A simple argument in the finite dimensional case: the commutator subgroup of $GL_n(\mathbb{C})$ is $SL_n(\mathbb{C})$, and the size of the center of $SL_n(\mathbb{C})$ is $n$, as scalar matrices with …
3
votes
Additive commutators and trace over a PID
Here (see the very last paragraph) it is stated that every matrix with trace zero over a PID is a commutator. However, I can't come up with a proof right away; the only proof for matrices over a field …
6
votes
Accepted
Set of integer matrices $A$ such that $(A^k)_{k\in\mathbb{N}}$ is eventually periodic
Of course. The eigenvalues of this matrix (over $\mathbb{C}$) may only be zeros and roots of unity (whose minimal polynomial is of degree at most $n$, as they are roots of the characteristic polynomia …
4
votes
Accepted
An $n$ eigenvalue multiplicity
This is an elaboration on the comment of Alexandre Eremenko. Algebraic multiplicity $n$ means that we have the equality of polynomials
$$
\det(t I_n -a_1A_1+\cdots+a_nA_n)=(t-\lambda)^n
$$
for some $ …
1
vote
Multivariate analogue of Vandermonde determinant
FWIW, for $n=d=2$, this polynomial is irreducible, as I just checked in Magma. The naive code for this (which even the online calculator http://magma.maths.usyd.edu.au/calc/ can handle) is
S<x1,x2,x3 …
4
votes
Origin of the sign convention in the Tensor product of graded vector spaces
If you want to find another $\sigma'_{V,W}\colon V\otimes W\to W\otimes V$ so that $\sigma'_{U,V\otimes W}=\sigma'_{U,V}\sigma'_{U,W}$ and assume that on homogeneous elements $\sigma'_{V,W}(v\otimes w …
4
votes
Accepted
Solving a recursion for polynomials defined by a matrix product
Your polynomial is precisely
$$
\sum_{k_1+2k_2+\cdots+nk_n=n}\binom{k_1+\cdots+k_n}{k_1,\ldots,k_n}X_1^{k_1}\cdots X_n^{k_n}.
$$
The proof is straightforward by induction: you have
$$
p_n(X)=\sum_{i= …