Linear algebra deals with vector spaces and linear transformations.

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2
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19 views

Completing a matrix (over the reals) to be singular

Consider the following problem: you are given a matrix (say, with rational entries) some of whose entries are actually left blank; can these blanks be filled in with real numbers so that the resulting ...
2
votes
0answers
161 views

the confusion about 'with high probability (w.h.p.)'

w.h.p. can often be seen in the analysis of randomized algorithms. It's definition can be seen here https://en.wikipedia.org/wiki/With_high_probability. However my confusion is that: Assuming we ...
0
votes
1answer
189 views

Vertices of a polytope

Consider the polytope $P=\{(x_1,x_2,...,x_n)\in \mathbb{R}^n| \sum_{i=1}^n x_i=1; 0\leq a_i\leq x_i\leq b_i, i=1,...,n\}$ where $a_i$ and $b_i$ are constant lower and upper bounds for $x_i$. Is it ...
0
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0answers
54 views

Inverting Matrix in Prony's Algorithm

I'm reading Ankur Moitra's excellent lectures notes at http://people.csail.mit.edu/moitra/docs/bookex.pdf . In Chapter4, the notes claim that a certain circulant matrix of fourier coefficients is ...
0
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0answers
34 views

Characterization of an irreducible matrix

A matrix is irreducible, if it is not similar via some permutation to a block upper triangular matrix that has more than one block of positive size. Equivalently, for a 0-1 matrix, if it is viewed as ...
6
votes
0answers
63 views

What is the space complexity of computing the eigenvectors of a matrix?

By the answer to this question, computing the eigenvalues of a matrix to within $2^{-n}$ precision can be done in polylogarithmic space. Is it also possible to compute the eigenvectors of a matrix to ...
1
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0answers
92 views

Has there been work on formal Semantics for linear algebra?

Could I get some references on formal semantics for a calculus on linear algebra that helps you study matrix or tensor based programming languages? I am looking for anything that encompasses linear or ...
2
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0answers
86 views

Is minimizing sum of distances hard?

The Problem Given a set of $n$ points $S = \{v_1, v_2, \cdots, v_n\} \subset \Re^d$, find a unit vector $s \in \Re^d$ such that $s$ minimizes $$ \sum_{i=1}^{n}\sqrt{\|v_i\|^2 - \langle v_i, s ...
4
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0answers
97 views

Rigid families of $\{0,1\}$ matrices

We know that there are many families of matrices over $\Bbb F_q$, $\Bbb R$ etc are rigid. See http://mahdi.cheraghchi.info/talks/rigidity_talk.pdf Do we know there are many families of rigid REAL ...
-1
votes
1answer
79 views

convertion into integer linear program for Ising spin state problem [closed]

I am trying to model the Ising spin state problem into Integer linear program and find the optimal ground state using lp_solve. (This is just a miniature version of Ising state problem) $$ maximise: ...
3
votes
1answer
112 views

Rate of convergence for the Perron–Frobenius theorem

The Perron–Frobenius Theorem states the following. Let $A = (a_{ij})$ be an $n \times n$ irreducible, non-negative matrix ($a_{ij} \geq 0, \forall i,j: 1\leq i,j \leq n$). Then the following ...
1
vote
0answers
78 views

Complexity of Approximating Vandermonde Determinant

Given an $n\times n$ Vandermonde integer matrix with structured integers (such as arithmetic or geometric progression). Is complexity of approximately computing Vandermonde determinant upto ...
1
vote
0answers
51 views

Matrix-convexity of inverse of the cofactor matrix [closed]

Consider the matrix-valued function $f(A) = \frac{A}{\det(A)}$ on the set of $3\times 3$ positive-definite matrices. Is this function matrix-convex ? (i.e., Is $tf(A) + (1-t)f(B) - f(tA+(1-t)B)$ ...
0
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0answers
41 views

Is there a diagonal matrix D such that DMD is SDD, where M is SPD matrix

Let $M$ be symmetric and positive definite matrix (SPD). It is known [1] that if $M$ is SPD and in addition satisfies $M_{ij}\leq 0$, for $i\neq j$ (called M-matrix) then there is a positive ...
3
votes
0answers
94 views

Reconstruction of sparse vectors from random matrices

In the paper [A], the following linear algebra result (Lemma 5 in [A]) is stated as being well known. Note that a vector is $s$-sparse if it contains at most $s$ non-zero entries. Lemma: Let $1 ...
5
votes
0answers
85 views

Tools to bound the singular values of a finite sum of random matrices from below?

Matrix Chernoff bounds (see also this arXiv paper) are usually used to give upper bounds on the largest eigenvalue of a finite sum of random matrices. Sometimes it can also be used to give a lower ...
4
votes
2answers
285 views

Is there a polynomial time algorithm for creating a set of vectors in general position?

It seems to be possible to create a set of vectors in $\mathbb{R}^n$ such that any subset of $n$ vectors forms a basis. For example, in $\mathbb{R}^3$, here is such a set with 21 vectors: $$ \left\{ ...
4
votes
1answer
154 views

Finding the minimum number of coordinates to change to get a vector inside a subspace

Let $\mathbb F$ be a field (ex. a finite field, or the reals), $A$ a $m\times n$ matrix over $\mathbb F$, and $x\in \mathbb F^n$ a vector. I'm interested in finding the smallest number of coordinates ...
0
votes
0answers
67 views

k closest points that belong to a set

This is a question from theory community, but I came across this issue in a practical problem. So just have this in mind. I have a set of real vectors: $$ S = \lbrace v_1, \dots, v_n \rbrace $$ ...
3
votes
1answer
119 views

Approximation algorithms for min vector subset-sum over GF(2)

In this question vzn asked about the following problem, which I'll call Vector-Subset-Sum. Given a set of vectors $v_i$ over GF(2) and a target vector $y$, is there a subset of the $v_i$ summing ...
1
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0answers
34 views

NC algorithm for rank of skinny matrix

Suppose I want to find the rank of an $m \times n$ matrix $A$ over $GF(2)$, where $m \ll n$. The algorithms for rank in the literature seem to be focused on the case when $m = n$, giving a time ...
2
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0answers
99 views

efficient data structures for generalized tensor products

The usual tensor product of vectors is a matrix. There has been tons of research into efficiently storing and operating on matrices in computers. But we can generalize the tensor product quite a ...
0
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0answers
57 views

Minimum vector sets span spaces cover problem

Instance: a set of vectors $V=\{\mathbf{v}_1,\mathbf{v}_2,...,\mathbf{v}_n\}$ and $m$ vector sets $V_1,V_2,...,V_m$, each of which contains multiple vectors ($V_i$ may not be a subset of $V$). In our ...
5
votes
0answers
163 views

Extensions of Affine Dispersers

A function $f\colon\{0,1\}^n\to\{0,1\}$ is called an affine disperser for dimension $d$, if for every affine subspace $S\subseteq \{0,1\}^n$ of dimension at least $d$, $f$ is not constant on $S$. This ...
1
vote
0answers
113 views

Computing a sparse eigenvector

Given a matrix $A$ with distinct eigenvalues, can I find a sparsest eigenvector of it in polynomial time? It is tempting to say that one can simply compute the eigenvectors and pick the sparsest ...
0
votes
0answers
107 views

Fastest Algorithms for Determining the Nullity of a Matrix

How exactly does one go about determining the Nullity of a Matrix quicker than simply running Gaussian Elimination on the matrix itself? To be perfectly honest I can't think of a method that doesn't ...
3
votes
0answers
104 views

Algorithm (parallel and serial) for Gram-Schmidt

Suppose we are given $m$ vectors $v_1, \dots, v_m$ in $n$-dimensional space $\mathbf R^n$ (or perhaps they are specified up to $b$ bits of precision). I would like to find an orthonormal basis for the ...
0
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0answers
45 views

Sparse matrix-vector multiplication materials needed

I've been assigned a project at school, the theme is the influence on cache memory when doing sparse matrix-vector multiplications. I've been searching for materials for quite some time but all I can ...
7
votes
0answers
217 views

Gaussian elimination for inverting matrices modulo prime power

Can I use Gaussian elimination to compute matrix inverse over the ring $\mathbb{Z}_{p^k}$ (ring of residues modulo $p^k$) where $p$ is prime and $k$ is an integer greater than $1$? Such matrix is ...
1
vote
1answer
56 views

Subspace-evasive set performance in the random case

A subspace evasive set is defined as a large subset of a vector space which has small intersection with any $k$ dimensional affine space. That is, it "evades" all affine subspaces of small enough ...
1
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0answers
27 views

Decoding of Gabidulin codes

Consider the space of matrices in $\mathbb{F}_q^{n \times m}$ where $\mathbb{F}_q$ is the finite field with $q$ elements. We can define a metric on this space, given by $d(A,B) := rank(A-B)$, called ...
3
votes
1answer
221 views

A matrix rank problem over finite fields: Is that a known problem?

The following problem is simple to state, but seems quite complicated to solve to me. Any hint or reference to related work is appreciated. Let $A \odot B$ denote elementwise multiplication of ...
3
votes
0answers
160 views

An interesting construction of a Tits building?

The notion of Tits building was introduced by Jacques Tits to study certain questions in group theory. The wikipedia entry gives a way to construct a Tits building from a vector space, but I would be ...
4
votes
0answers
167 views

Extensions of Sylvester's inertia law?

Sylvester's inertia law deals with the signatures of quadratic forms. I was thinking that it may be possible to extend this to multilinear forms; here is a first attempt. Let $M$ be a $k$-linear form ...
2
votes
1answer
170 views

Parallel (NC) replacements for Gaussian elimination?

Suppose one has an matrix $A$ with $c$ columns and $r$ rows with entries in the binary field $GF(2)$. One wants to determine its rank, and a basis for its null-space. These can be computed ...
3
votes
1answer
96 views

compleixty of rational checking of eigenvalues

Given a matrix $A$ with rational entries, how to check whether all the eigenvalues of $A$ are rational? What's the complexity of this problem? It seems that this can be done in polynomial time, but ...
25
votes
3answers
973 views

Decide whether a matrix's kernel contains any non-zero vector all of whose entries are -1, 0, or 1

Given an $m$ by $n$ binary matrix $M$ (entries are $0$ or $1$), the problem is to determine if there exists two binary vectors $v_1 \ne v_2$ such that $Mv_1 = Mv_2$ (all operations performed over ...
21
votes
1answer
397 views

Is there a polynomial time algorithm to determine if the span of a set of matrices contains a permutation matrix?

Precisely what the title says, I'm looking to find a polynomial time algorithm that given some set of matrices, will find if their span contains a permutation matrix. If any one knows if this ...
1
vote
0answers
90 views

Constructing a digraph from its spectrum

This is related to the following question which has already been explored: Reverse Graph Spectra Problem? So it seems as if given a sequence of real numbers, it is not always possible to generate a ...
10
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0answers
148 views

Number of graphs with prescribed spectrum

I have a question relevant to the number of graphs with prescribed spectral ratio. Let $A$ be the adjacency matrix of a graph on $n$ vertices. Let $\lambda_i$ be its $i$-th largest (signed) ...
3
votes
0answers
59 views

Finding the closest subspace to a collection of subspaces

Suppose we have a collection of linear subspaces $\mathbb{C}$ lying in $\mathbb{R}^d$, such that each $c \in \mathbb{C}$ is of dimension at most $k \leq d$ for a given fixed $k$ and $|\mathbb{C}| = ...
0
votes
1answer
235 views

Has anyone mixed linear algebra with formal language theory in this way?

Let $G$ be the grammar: $$ S \rightarrow aAb \\ A \rightarrow aA + a + \epsilon $$ where $\epsilon$ is the empty string, $a,b$ are terminals and $S,A$ non-terminals with $S$ the start symbol. ...
3
votes
0answers
141 views

Spectral Graph Theory and Matroid Theory

I have just started grad school this year and I have been into Spectral Graph Theory for some time now. Recently I got introduced to Matroid Theory and although I know the field has been around for ...
1
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0answers
180 views

Time complexity of clustering based on random walk

What is the time complexity of the following algorithm (from this paper suggested by Zhou) to partition directed graph? Can I use the complexity of eigen vector computation for this purpose? The ...
13
votes
1answer
439 views

What's the complexity to check whether a matrix is Diagonalizable?

Given an $n\times n$ matrix $A$ with rational entries. What's the complexity to check $A$ is diagonalizable? I suspect that this can be done in P, but I do not know any reference. However, a more ...
1
vote
0answers
153 views

Running time of Jacobi vs Golub-Kahan for SVD

For an $m \times n$ matrix, what is the running time for computing the Singular Value Decomposition (SVD for short) via Jacobi's method, and Golub-Kahan? The source I read mentions that Jacobi's ...
4
votes
1answer
187 views

state-of-the-art bit complexity of the determinant

I'm trying to understand the full bit-complexity of computing the determinant of an $n\times n$ integer matrix, with each entry represented by $M$ bits. I would like to know what is the ...
-3
votes
1answer
127 views

the product of a matrix and a permutation matrix [closed]

Can a permutation matrix (P) be used to change the rank of another matrix (M)? Is there any literature to this effect, or to the contrary? I've tried a few small examples and the resulting matrix ...
2
votes
0answers
132 views

normalized tensor rank

Is there such a thing as a "normalized tensor rank" for non-square tensors (i.e. a tensor with different sizes along each mode)? For example: If a 3rd order tensor (dimensions = 60 x 120 x 30) has ...
11
votes
0answers
159 views

the largest element of a matrix product

Given two matrices, I'm interested in finding the largest element of their product. I wonder if it's possible to do it significantly faster than the matrix multiplication the solution seems to ...