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12 votes
1 answer
5k views

Closest 3D rotation matrix in the Frobenius norm sense

Given a 3 by 3 matrix $M$ I would like to find the rotation matrix $R$ minimizing the Frobenius norm: \begin{equation} \|R-M\|_F \end{equation} Is there a closed form solution for $R$, or is it ...
Alex Flint's user avatar
12 votes
1 answer
2k views

Sard's Theorem For Banach Spaces

Given a smooth map from $\phi: B \rightarrow M$ where $B$ is a Banach Space and $M$ is a finite dimensional smooth manifold (for example, the end point map for a control system), what is the strongest ...
Benjamin's user avatar
  • 2,099
12 votes
5 answers
9k views

Solving Lyapunov-like equation

The following matrix equation might be a Lyapunov-like equation, but it seems hard for me to develop a simpler way to solve it. From the computation effort, I need some help for solving the special ...
Hellen's user avatar
  • 121
12 votes
3 answers
801 views

finding the most-isolated point in a high-dimensional cube

I have a set of points {$x_1,\ldots,x_n$} located in the d-dimensional unit cube $[0,1]^d$. $n$ is about 1000 and $d$ is about 25. I'd like to find $\max_{\omega\in [0,1]^d}\min_{i=1,\ldots,n} \|\...
Jeff's user avatar
  • 500
12 votes
2 answers
752 views

Geometric applications of Ekeland's variational principle

I'm looking for geometric applications of Ekeland's variational principle in order to see it at work in a context I'm familiar with. Let me recall the principle itself: Definition. Let $(X,d)$ be a ...
alvarezpaiva's user avatar
  • 13.5k
12 votes
2 answers
350 views

A (reverse)-Minkowski type inequality for symmetric sums

Let $(u_1, u_2, u_3, u_4)$ and $(v_1, v_2, v_3, v_4)$ be vectors in $\mathbb R_+^4$. Is the following inequality true? \begin{align*} \left(\sum_{{[4] \choose 3}} \sqrt{u_i u_j u_k}\right)^{2/3} + \...
VSJ's user avatar
  • 1,034
12 votes
3 answers
1k views

Eigencircles of n x n matrices?

An eigenvalue of a 2 x 2 matrix satisfies the equation $$ \left(\begin{array}{cc} a & b \\ c & d \end{array} \right)\left( \begin{array}{c} x \\ y \end{array}\right) = \lambda \left( \...
john mangual's user avatar
  • 22.8k
12 votes
1 answer
361 views

An averaging game on finite multisets of integers

The following procedure is a variant of one suggested by Patrek Ragnarsson (age 10). Let $M$ be a finite multiset of integers. A move consists of choosing two elements $a\neq b$ of $M$ of the same ...
Richard Stanley's user avatar
12 votes
1 answer
214 views

The angles subtended in a TSP tour

If I sample a large number of uniform points in the unit square and take a traveling salesman tour of them, is there anything at all that can be said/is known about the distribution of angles at each ...
Tom Solberg's user avatar
  • 4,049
12 votes
2 answers
800 views

A (linear) optimization problem subject to (linear) matrix inequality constraints

Let $A \in \mathbb{R}^{n \times n}$ be a Hurwitz matrix, i.e. $A$ satisfies $\mathrm{Re}\,\lambda_i< 0$, where $\{\lambda_i\}_{i=1}^n$ is the set of eigenvalues of $A$. Suppose that the trace of $A$...
Ludwig's user avatar
  • 2,712
11 votes
2 answers
964 views

Why is modular forms applicable to packing density bounds from linear programming at $n\in\{8,24\}$?

Sphere packing problem in $\mathbb R^n$ asks for the densest arrangement of non-overlapping spheres within $\mathbb R^n$. It is now know that the problem is solved at $n=8$ and $n=24$ using modular ...
VS.'s user avatar
  • 1,826
11 votes
4 answers
10k views

"You can't push a rope" [closed]

"You can't push a rope" is a wisdom saying that some engineering teachers pass along to their students. Since I'm not an engineer, I can only guess at what they mean, but it sounds to me like code ...
11 votes
3 answers
6k views

Random Sampling a linearly constrained region in n-dimensions...

Hi, So here is my problem: Given a nonlinear, discontinous, cost function $f(x_1,x_2,..,x_N)$ along with linear constraints $x_n \ge 0, \forall n$ $x_n \le c_n$ and $\sum_{n=1}^N x_n = 1$ find an ...
user1's user avatar
  • 113
11 votes
2 answers
856 views

A generalization of Chebyshev polynomials

What is the monic polynomial $p(x)$ of degree $n$ which minimizes $\max_{x \in [-1,1]} |p(x)|$? The answer is the Chebyshev polynomial, and its largest value on $[-1,1]$ is $1/2^{n-1}$. Now suppose ...
Mike Cook's user avatar
  • 113
11 votes
1 answer
998 views

How do people prove $\Gamma$-convergence in more complicated settings?

This is a soft question, I guess. $\Gamma$-convergence is a notion of convergence of functionals so that if $F_n$ $\Gamma$-converges to $F$, then cluster points of $\arg\inf F_n$ are minimizers of $F$....
user479223's user avatar
  • 1,904
11 votes
2 answers
880 views

Covering a random graph with spanning trees.

Let $G=(V,E)$ be a connected graph, say $V=\{1,\ldots,n\}$. Let $F=(V,E')$ be a uniformly random forest in $G$. (In other words, $E'$ is a subset of edges $E$ not containing a cycle, and it is ...
Louigi Addario-Berry's user avatar
11 votes
0 answers
759 views

Hamilton-Jacobi equations: Method of characteristics

In Cannarsa-Sinestrari's book 'Semiconcave Functions, Hamilton-Jacobi Equations, and Optimal Control' there is a proof, via the Method of Characteristics, of global-in-time existence of classical ...
TØS's user avatar
  • 111
11 votes
0 answers
291 views

$L_2$ minimizing makespan vs. $L_\infty$ minimizing makespan

There are $n$ positive real numbers. We partition these numbers into $m$ parts, the size of each part is the sum the numbers in this part. Maximum size of the parts is called a makespan of a partition....
kakia's user avatar
  • 399
10 votes
2 answers
3k views

How do you tell if a system of linear inequalities has a solution?

A naive solution would be to optimize a dummy variable via linear programming and see if a result is returned. I imagine there must be a more direct way.
user21816's user avatar
  • 693
10 votes
2 answers
9k views

When do maximum and expectation commute?

Hi, I'm looking for conditions on $G(t,x)$ such that $$ \sup\limits_{t\in [0,1]}E[G(t,X)]=E[\sup\limits_{t\in [0,1]}G(t,X)] $$ where $X$ is a random variable (it's easy to see that $\sup\limits_{t\in [...
martin's user avatar
  • 111
10 votes
2 answers
7k views

Is there an "adjacency matrix" for weighted directed graphs that captures the weights?

I am currently writing up some notes on the max-plus algebra $\mathbb{R}_{\max}$ (for those that have never seen the term "max-plus algebra", it is just $\mathbb{R}$ with addition replaced by $\max$ ...
user4977's user avatar
  • 363
10 votes
4 answers
904 views

The distribution of the shortest path through $n$ points

In the big picture, I'd like to know: if I sample $n$ points uniformly at random in the unit square, what is the probability that the shortest path that visits each one of them is very small? More ...
Will Schaefer's user avatar
10 votes
1 answer
444 views

Constructing a hypersurface with given outer normals

Pick a point on each of the positive half-axes in $\mathbb{R}^n$. Put a (unit-norm?) vector at each of the n points. (a) Is there a hypersurface in the orthant $\mathbb{R}^n_+$ going through these n ...
Elena Yudovina's user avatar
10 votes
3 answers
6k views

Solving a system of linear inequalities -- what is the dimension of the solution set?

It is well known how to solve a system of linear equations $A{\bf x} = {\bf b}$, but how do we solve a system of linear inequalities $A{\bf x} \leq {\bf b}$? For the applications I have in mind the ...
Matthew Kahle's user avatar
10 votes
5 answers
2k views

Robust black box function minimization with extremely expensive cost function

There is an enormous amount of information about the common applied math problem of minimizing a function.. software packages, hundreds of books, research, etc. But I still have not found a good ...
MathMonkey's user avatar
10 votes
1 answer
2k views

Sum of difference moduli vs. sum of modulus differences

This is a failed attempt of mine at creating a contest problem; the failure is in the fact that I wasn't able to solve it myself. Let $x_1$, $x_2$, ..., $x_n$ be $n$ reals. For any integer $k$, ...
darij grinberg's user avatar
10 votes
1 answer
1k views

Rigorous proof of the good regulator theorem

As an applied mathematician with an interest in control theory, I have read several research papers that explicitly use the good regulator theorem of Conant and Ashby 1 which states that: Every ...
Aidan Rocke's user avatar
  • 3,871
10 votes
1 answer
308 views

In what area of study does one encounter this principle in timetabling?

A while ago I saw an image like the one below in a lecture, which was supposed to represent a rail network in a (square) city: The circles represent trains that are moving either North/South or East/...
Tom Solberg's user avatar
  • 4,049
10 votes
1 answer
337 views

How can a Roomba turn as little as possible?

Suppose I have a convex polygon $C$ and a radius $r>0$, and I seek a path $P$ that "covers" $C$, in the sense that any point $C$ is within distance $r$ of $P$: $$d(x,P)\leq r~\forall x\in C~,$$ ...
Tom Solberg's user avatar
  • 4,049
10 votes
1 answer
411 views

Network flows with capacities on pairs of edges

Take a standard network flow problem: a directed graph with nonnegative capacities on each edge, a source $s$, a sink $t$. We all know how to find the maximum flow from $s$ to $t$. Now add edge-pair ...
Brendan McKay's user avatar
10 votes
2 answers
3k views

Maximizing the Smallest Eigenvalue of a Diagonally Dominant Matrix

Assume that we have a full-rank diagonally dominant matrix $A$, all the diagonal elements of which are positive, all the non-diagonal elements are negative, and the sum of the absolute values of the ...
Maria Kinget's user avatar
10 votes
0 answers
722 views

Fractional Matching version of Hall's Marriage theorem

Let $G=(S,T,E)$ be a bipartite graph, $|S|=|T|$. Then the following are equivalent: 1) there exist a perfect matching in $G$; 2) there exist non-negative weights on edges such that the sum of ...
Fedor Petrov's user avatar
9 votes
3 answers
2k views

SDP Feasibility

I have a decision problem that I have formulated as a feasibility SDP. The answer to the decision problem depends on whether the SDP is feasible or not. It is known that a SDP can be solved to ...
Pawan Aurora's user avatar
9 votes
1 answer
6k views

Proving that a binary matrix is totally unimodular

I'm working on a set of problems for which I can formulate binary integer programs. When I solve the linear relaxations of these problems, I always get integer solutions. I would like to prove that ...
AaronDefazio's user avatar
9 votes
1 answer
3k views

Inverse of a totally unimodular matrix

A unimodular matrix $M$ is a square integer matrix having determinant $+1$ or $−1$. A totally unimodular matrix (TU matrix) is a matrix for which every square non-singular submatrix is unimodular. A ...
qianchi 's user avatar
9 votes
2 answers
843 views

How did they come up with the MRRW bound?

Among the good asymptotic bounds in coding theory in the MRRW bound. It is obtained by using the linear programming problem of Delsarte's and providing a solution. The LP problem is Suppose $C \...
Breakfastisready's user avatar
9 votes
2 answers
603 views

Book for matroid polytopes

I have made a study of polytopes with the books of Ziegler and "Integer Programming" of Conforti, my main goal is to study matroid polytopes; to study matroids I have thought about the book &...
Wrloord's user avatar
  • 251
9 votes
1 answer
395 views

An inequality on the simplex involving $x^x$

Is anything known about the behavior of the function $$f(x)=\prod_{i=1}^n x_i^{x_i}$$ on the standard simplex, i.e. the set $\{x\in\mathbb{R}^n:\sum_{i=1}^n x_i=1, x_i\geq0\}$? I ask because I have ...
Jennifer Gao's user avatar
9 votes
2 answers
301 views

Maximum of a quantity for two normal orthogonal vectors in $\mathbb{R}^n$

Let's define for every pair of vectors $u,v\in\mathbb{R}^n$, a quantity as follows: $$f(u,v) = \sum_{1\leq i,j\leq n}|u_iu_j-v_iv_j|.$$ I want to find: $$M(n)= \max \{f(u,v): u,v\in \mathbb{R}^n, |u|=...
Mostafa - Free Palestine's user avatar
9 votes
1 answer
3k views

Difference between 'generalized gradient' and 'subgradient' ?

Hi, I am wondering what the difference between 'generalized gradient' and 'subgradient' of a (potentially non-differentiable) convex function 'f' is. The generalized gradient I am interested in is ...
user30623's user avatar
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
2 answers
3k views

An optimization problem for points on the sphere (master's dissertation)

First, by means of a disclaimer, some background. I am entering the fourth and final year of an undergraduate master's degree in maths, and a quarter of the maximum credit for this year will be for a ...
Robin Saunders's user avatar
9 votes
1 answer
562 views

The drunken blind man’s walk

Consider a drunk, blind man starting in the middle of the two dimensional open unit ball. At each turn, the man chooses a direction to move a step of size $\delta > 0$ in. Unfortunately, he is very ...
Nate River's user avatar
  • 6,155
9 votes
1 answer
847 views

Maximizing a ratio of determinants

Let $D\in\mathbb{R}^{n\times n}$ be a diagonal positive definite matrix s.t. $D\leq I$ ($I$ denotes the $n$-dim. identity matrix) and let $\alpha$ be a strictly positive real number. Consider the ...
Ludwig's user avatar
  • 2,712
9 votes
2 answers
967 views

Removing constraints in convex optimization

Say I have a convex optimization problem of the form $$\min_x f(x) ~~ s.t.\\ g_1(x)\leq0,\\\vdots \\g_n(x)\leq 0$$ with all functions convex. Suppose that $x^*$ is a unique optimizer to my problem and ...
Jeff Kenney's user avatar
9 votes
2 answers
684 views

A trace-constrained maximization problem in the cone of positive definite matrices

Let $A\in\mathbb{R}^{n\times n}$ be a matrix having eigenvalues with strictly negative real part (in other words, $A$ is supposed to be Hurwitz stable). Let $\mathrm{tr}(\cdot)$ denote the trace ...
Ludwig's user avatar
  • 2,712
9 votes
2 answers
477 views

An extension of Gaussian Isoperimetry

The Gaussian isoperimetric inequality (Tsirelson,Sudakov, Borell) states that among all sets of given Gaussian measure in the n-dimensional Euclidean space, half-spaces have the minimal Gaussian ...
BharatRam's user avatar
  • 949
9 votes
1 answer
257 views

Higher or lower? (#2)

$N \geq 2$ players play a game - at the start of the game, they are each given independently and uniformly a number from $[0, 1]$. On each round, they are to guess whether their number is higher or ...
Nate River's user avatar
  • 6,155
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
9 votes
2 answers
462 views

Entropy conjecture for distributions over $\mathbb{Z}_n$

Suppose we have two independent random variables $X$ (with distribution $p_X$) and $Y$ (with distribution $p_Y$) which take values in the cyclic group $\mathbb{Z}_n$. Let $Z = X +Y$, where the ...
VSJ's user avatar
  • 1,034

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