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9 votes
2 answers
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polynomials with minimal $L_\infty$ norm on multiple disjoint intervals

It is well-known that Chebyshev polynomials are the polynomials of minimal $L_\infty$ norm on [-1,1] with leading coefficient 1. But what if you want the minimal $L_\infty$ polynomial on two disjoint ...
Paul's user avatar
  • 223
9 votes
2 answers
9k views

Conditions for convergence of Euler's method

It is known that a sufficient and necessary condition for $$\dot y(t) = f(y(t), t), \quad t > 0, \quad y(0) = y_0$$ to have a unique solution is $f$ Lipschitz in $y$ and continuous in $t$. However, ...
John Wong's user avatar
  • 773
9 votes
1 answer
295 views

Definition of packing property

Definition 1: A clutter $C$ is said to have the packing property if $C$ and all of its minors satisfy the König property. where, vertex cover of $C$ is a set of vertices that have non-empty ...
user177523's user avatar
9 votes
1 answer
492 views

When are two binary matrices simultaneously equivalent to their transpose?

For any real square matrix $A$ there is an invertible matrix $P$ such that $A^t = P^{-1}AP$. I have two binary ($0,1$) matrices $A$ and $B$. When does there exist a $P$ such that $A^t = P^{-1}AP$ and $...
Supriyo's user avatar
  • 363
9 votes
1 answer
1k views

Computation time of Smith normal form in Maple

I am using Maple to compute the Smith normal form (SNF) of a $120 \times 120$ matrix and it seems that I will never get an answer back. I have checked my code for small cases and I believe that it is ...
Yibo Gao's user avatar
  • 356
9 votes
1 answer
472 views

$M = AA^t$ where $A$ has unit norm columns

Let $M \in \mathbb{R}^{k\times k}$ positive definite with $\operatorname{tr} M = m$, where $m$ is an integer such that $m \geq k$. I have found a way (using this answer) to decompose $M = AA^t$ with $...
Yair Daon's user avatar
  • 185
9 votes
1 answer
559 views

What is the Lipschitz constant of the differential of the matrix exponential $\mathfrak{so}(3)\to \mathrm{SO}(3)$

I'm interested in numerical methods on $\mathrm{SO}(3)$ manifold, and working on a particular problem using the exponential coordinates: $$ R(u) := \exp(u_\times) $$ with $u\in \mathbb{R}^3$ and where ...
Maciej's user avatar
  • 111
9 votes
1 answer
2k views

Uniform sampling from general simplex with a twist

This is part of a question I had asked elsewhere, and then some of the links redirected me to CS stack exchange. Given $0\leq a_1\leq\dots\leq a_D\leq1$ (all strictly positive), I want to draw points ...
Juanito's user avatar
  • 221
8 votes
2 answers
404 views

How to obtain the rational solution of a linear system efficiently?

Suppose that I have a linear system $AX=b$ with $A\in\mathbb{Z}^{n\times m}$ and $b\in\mathbb{Z}^{n}$. Assume that $AX=b$ has exactly one rational solution. Then how can I obtain this solution ...
Jie Wang's user avatar
  • 133
8 votes
1 answer
2k views

Finding Toeplitz matrix nearest to a given matrix

For an arbitrary $N\times N$ Hermitian matrix $A$, I want to derive a Toeplitz matrix from $A$ such that the eigenvectors of both matrices have minimal change. Specifically I want find the Toeplitz ...
Creator's user avatar
  • 495
8 votes
2 answers
4k views

Finding the smallest eigenvalues of a large, but structured, matrix

I'm trying to find the eigenvector corresponding to the second smallest eigenvalue of a large $(4,000,000 \times 4,000,000)$ matrix $M$. $M$ is a Laplacian matrix, and it has the following structure: $...
Jeff's user avatar
  • 500
8 votes
1 answer
1k views

Square root of a large sparse symmetric positive definite matrix

I am trying to calculate $$Y = A^{\frac 12} X$$ where $A$ is a very large and sparse positive definite matrix, say, $10^4 \times 10^4$. Matrix $X$ is known and, say, $10^4 \times 100$. Is there any ...
messcode's user avatar
8 votes
1 answer
1k views

Efficiently compute the trace of a sparse matrix times the inverse of a sparse matrix?

How can I efficiently compute $\mathrm{trace}(A(B^{-1}))$ where $A$ and $B$ are both sparse symmetric PSD $n \times n$ matrices, both with $O(n)$ non-zero entries? If it helps, the pattern of non-...
Jeff's user avatar
  • 500
8 votes
1 answer
1k views

Norm of inverse confluent Vandermonde matrix

Let $\{x_1,\dots,x_n\}$ be pairwise distinct complex numbers and $l_1+l_2+\dots+l_n=N$. The $N\times N$ confluent Vandermonde matrix is defined as $$V= \begin{bmatrix} v_{1,0}&v_{2,0}&\dots&...
dima's user avatar
  • 959
8 votes
2 answers
246 views

Are sums of 0-1 Pareto efficient vectors Pareto efficient?

Does there exist $m,n\ge1$, an $m \times n$ matrix $A$, and a vector $x \in \mathbb{R}^n$ such that: The entries of $A$ are $\in \{0, 1\}$. For all pairs of columns $u, v$ of $A$ the entries of $u - ...
Daishisan's user avatar
  • 388
8 votes
2 answers
1k views

Minesweeper as a linear algebra problem

I've written a computer program to generate and solve minesweeper games. Once I've eliminated the obvious mines and safe squares I look at each remaining connected setsin turn and formulate a linear ...
Alan Swindells's user avatar
8 votes
0 answers
481 views

Problems where Conjugate gradient works much better than GMRES

I am interested in cases where Conjugate gradient works much better than GMRES method. In general, CG is preferable choice in many cases of SPD because it requires less storage and theoretical bound ...
arbitUser1401's user avatar
8 votes
0 answers
1k views

Infinite Linear Programming

I'm trying to prove optimality for a continuous linear program. That is, I have a linear program with an uncountable number of variables and constraints. I'm not sure how to demonstrate feasibility ...
Carrie Nuttall's user avatar
7 votes
2 answers
909 views

Formula for volume of a convex polytope

So I've been searching around the internet for some answers to this, but I currently have a set of linear constraints: $Ax = b, Cx \le d$ for matrices $A \in \mathbb{R}^{n \times m}$, $b\in \mathbb{R}^...
Erik's user avatar
  • 81
7 votes
2 answers
1k views

Is a given point in the interior of the convex hull of a given finite collection of points?

Suppose I have the convex hull $P$ of a finite collection of points in $\mathbb{R}^d,$ and I want to see whether a point $p$ is contained in $P.$ This is a standard (some would say the standard linear ...
Igor Rivin's user avatar
  • 96.4k
7 votes
1 answer
360 views

Does the Hirsch conjecture hold for $n < 2d$?

The Hirsch conjecture asserts that the graph (i.e. $1$-skeleton) of a $d$-dimensional convex polytope with $n$ facets has diameter at most $n - d$. After being open for decades, Francisco Santos has ...
Matthew Kahle's user avatar
7 votes
3 answers
1k views

Checking positive semi-definiteness of integer matrix

Key Problem : Is there any theorem about eigenvalues or positive semi-definiteness of small size matrices with small integer elements? I have to check positive semi-definiteness of many symmetric ...
SIM2's user avatar
  • 73
7 votes
2 answers
561 views

Linear equations with absolute values

Assume we have a set of equations in $x \in \mathbb{R}^n$ $$|a_i\cdot x|=b_i$$ where $a_i \in \mathbb{R}^n$ and $b_i>0$ are given. Could such a system be solved efficiently? In a theoretical ...
Doron Shafrir's user avatar
7 votes
2 answers
242 views

Prove that $ n \leq d+1 $ under ordering constraints in $\mathbb{R}^d$

Let $x_1, \dotsc, x_n \in \mathbb{R}^d$ and $\theta_1, \dotsc, \theta_n \in \mathbb{R}^d$ be vectors such that for every $k \in [n]$, the following inequality holds: $$ \langle x_k, \theta_k \rangle &...
Alireza Bakhtiari's user avatar
7 votes
1 answer
427 views

Minimize spectral radius with orthogonal matrix

Let $A$ be a real square and invertible matrix. I would like to find $$ s(A) = \min_U \rho(U A), $$ Where $U$ is orthogoal, i.e. $U U^T = I$ and $\rho(A)$ is the spectral radius, i.e. the largest ...
Jiro's user avatar
  • 909
7 votes
2 answers
304 views

A system of non-linear equations that is decomposable as a product -- uniqueness of solution?

I have a system of non-linear equations $ a_1=f_0 g_1$ $a_2=f_1 g_1 + f_0 g_2$ $a_3=f_2 g_1 + f_6 g_2 + f_0 g_3 $ $a_4=f_3 g_1 + f_7 g_2 + f_6 g_3 + f_0 g_4 $ $a_5=f_4 g_1 + f_8 g_2 + f_7 g_3 + ...
Kass's user avatar
  • 243
7 votes
1 answer
819 views

Has this generalization of a determinant (assigning multiplicities to the rows) been studied?

I'm working on some questions in tropical geometry, and my problem led me to create the following generalization of a determinant: Let $A$ be an $m \times n$ matrix with $m \le n$, and positive ...
Drew's user avatar
  • 1,509
7 votes
1 answer
254 views

Numerical method for simultaneous computation of eigenvalues of a family of commuting matrices

I have a problem where I have $n$ commuting matrices $M_1,\dots,M_n$. It is a well-known fact that commuting matrices are simultaneously diagonalizable/triangularizable. I need to find the eigenvalues ...
Hayden Ringer's user avatar
7 votes
1 answer
374 views

Sampling uniformly from the vertices of a polytope

I'm looking for a reference on how to sample uniformly (and preferably efficiently, elegantly, etc.) from the vertices of a polytope. I gather that enumerating vertices is hard. I also note the MO ...
Steve Huntsman's user avatar
7 votes
1 answer
305 views

Efficiently solve the Sylvester equation $AX+XA = C$ where $X$ is skew-symmetric

Is there a way (more efficient than the standard vectorization) to solve the following Sylvester equation in the skew-symmetric matrix $X$ $$AX+XA = C$$ where the matrix $A$ is symmetric positive ...
Gabi's user avatar
  • 173
7 votes
1 answer
247 views

Add a multiple of $I$ to a matrix to minimize its operator norm

Given $A\in\mathbb{C}^{n\times n}$, what is $s_* = \arg\min \|A-sI\|$? Here $\|A\|$ is the operator norm, $\|A\|=\rho(A^*A)^{1/2}$, and $I$ is the identity. The corresponding problem for the ...
Federico Poloni's user avatar
7 votes
1 answer
224 views

A polytope with a bound on the sum of any $k$ variables

Let $2\le k\le n-1$ and define the polytope $$P_k(n) = \lbrace (x_1,\ldots,x_n) \in \mathbb{R}^n : -1\le x_{i_1}+\cdots +x_{i_k} \le 1 \text{ for all } 1\le i_1\lt\cdots\lt i_k\le n\rbrace.$$ There ...
Brendan McKay's user avatar
7 votes
1 answer
197 views

Compute only selected components of an eigenvector

I am wondering whether it is possible to compute portions of the eigenvectors of a given (possibly very big) matrix. More formally, consider the eigenvalue problem $\mathbf{Ax} = \lambda \mathbf{x}$, ...
gboukensha's user avatar
7 votes
1 answer
318 views

Who first observed that Conjugate Gradient for Symmetric Positive Definite linear systems is a Krylov method?

Conjugate gradient was originally presented in the 50's before the modern understanding of Krylov subspaces (and the resulting iterative methods) was fully realized. As such, the method was derived ...
Kirk S.'s user avatar
  • 325
7 votes
2 answers
3k views

Factorizing a block symmetric matrix

Let $X,Y\in\mathbb{R}^{n\times n}$ be symmetric matrices. You may assume that $X$ is positive semidefinite and $Y$ negative semidefinite, if needed, but not that they are invertible. I would like to ...
Federico Poloni's user avatar
7 votes
2 answers
244 views

Finding $\theta$ such that at least one eigenvalue of $A(\theta)$ is real

Is there a known method to find a set of $\theta$ such that at least one eigenvalue of $A(\theta)$ is purely real? Assume $A(\theta)$ is a real square matrix whose elements are linear functions of a ...
CWC's user avatar
  • 433
7 votes
1 answer
356 views

Is there any sort of higher-order SVD (quadratic and above) for dimensionality reduction?

(Posted this on math.stackexchange and cross.correlated over more than a week ago, but didn't get an answer, and this is a question in my research so this seems like it might have been the better ...
user650261's user avatar
7 votes
1 answer
386 views

Which zero-diagonal matrices contain the all-one vector in their columns' conic hull?

Let $A$ be a non-negative zero-diagonal invertible matrix. Which $A$ make the following assertions true, which are all equivalent: The all-one vector $j$ is contained in the conic hull of $col(A)$. ...
bodhisat's user avatar
7 votes
0 answers
116 views

Are there attempts to numerically finding algebraic structures over finite-dimensional vector spaces?

By "algebraic structure" I mean a finite set of linear operators between tensor products of copies of one (or more) finite-dimensional (complex or real) vector spaces, fulfilling a set of ...
Andi Bauer's user avatar
  • 3,001
7 votes
0 answers
197 views

A special eigenvalue problem

For my research I need to solve a generalised eigenvalue problem $Ax=\lambda B x$, where $A$, $B$ are general matrices, and selectively find only eigen-pairs $\lambda, x$ such that $\lambda\in \mathbb{...
yarchik's user avatar
  • 492
7 votes
0 answers
1k views

Closed-form solution of a linear programming question

Among all the probability matrices \begin{equation*} P = \left(\begin{array}{cccc} p_{00} & p_{01} & \ldots & p_{0,J-1} \\ p_{10} & p_{11} & \ldots & p_{1,J-1} \\ \vdots & \...
Jerry Jiannan Lu's user avatar
7 votes
0 answers
120 views

How do I find elements of an algebra which generate an algebra contained in a fixed subspace?

Suppose $V$ is a linear subspace of a finite dimensional $C^*$-algebra $A$. (Feel free to assume $A$ is a multi-matrix algebra over $\mathbb C$.) I would like to find $x \in V$ such that $\mathbb C [...
Kim Morrison's user avatar
  • 7,800
6 votes
6 answers
3k views

Circumference of Convex Shapes

Here is a puzzle I found in Mitteilungen der DMV (roughly, "Letters of the German Society of Mathematicians"), issue 19/2011. It was posed by Alfred Schreiber in "Wie man Hasen fangt" (How to catch ...
Matthias Goergens's user avatar
6 votes
2 answers
1k views

Linear programming is continuous

Consider an arbitrary linear program: $$\max \vec c \cdot \vec x$$ subject to: $$\textbf{A}\cdot \vec x = 0, \quad \vec a \le \vec x \le \vec b$$ Assume that this program is feasible and bounded. ...
valle's user avatar
  • 884
6 votes
2 answers
2k views

Complexity of rectangular matrix multiplication

I am interested in the complexity of multiplying two matrices $A$ and $B$, i.e. to compute $AB$. From [Le Gall and Urrotia], I know that: if $A$ and $B$ are square-matrices of size $n$, then this can ...
N. Gast's user avatar
  • 562
6 votes
2 answers
463 views

Spectrum of operator involving ladder operators

The ladder operator in quantum mechanics are the operators $$a^\dagger \ = \ \frac{1}{\sqrt{2}} \left(-\frac{d}{dq} + q\right)$$ and $$a \ \ = \ \frac{1}{\sqrt{2}} \left(\ \ \ \!\frac{d}{dq} + q\...
António Borges Santos's user avatar
6 votes
3 answers
148 views

Algorithm to quickly compute the individual inverses of a linear sequence of matrices

Fix $n \times n$ real symmetric positive definite matrices $A$ and $B$. Fix vectors $x$ and $y$ in $\mathbf{R}^n$. I want to compute the following bilinear products quickly: $\{x^T (A+mB)^{-1} y\}_{m=...
Yi Liu's user avatar
  • 328
6 votes
1 answer
761 views

Checking if one polytope is contained in another

I have two sets of inequalities, say, $Ax \leq 0$ and $Bx \leq 0$. I would like to know if they both define the same polytope. Or, even, whether one is contained in the other. At the moment I am ...
bandini's user avatar
  • 491
6 votes
2 answers
8k views

Existence/Uniqueness of Nonnegative Solutions of Linear Systems of Equations

Suppose we have an $m$x$n$ matrix $A$, with $m\lt n$, and an $m$x$1$ vector $b$. Are there existence and uniqueness conditions characterizing nonnegative solutions of the system of linear equations $...
Adam Clarridge's user avatar
6 votes
3 answers
2k views

A simple infinite dimensional optimization problem

I'd be grateful for a reference for the following result, which I believe to be true, and should be well-known. Let the continuous functions $f_0,f_1,\cdots,f_n: [0,1]\rightarrow [0,\infty)$ be ...
Guy Katriel's user avatar

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