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A sparsity pattern in $\mathbb{R}^{n \times m}$, for $m\geq n$, is a vector subspace of matrices admitting a basis consisting of canonical basis vectors in $\mathbb{R}^{n \times m}$. We represent a sparsity pattern by a matrix with…

Optimization and Control · Mathematics 2021-09-20 Mohamed Ali Belabbas , Xudong Chen , Daniel Zelazo

A 0-1 matrix $M$ is saturating for a 0-1 matrix $P$ if $M$ does not contain a submatrix that can be turned into $P$ by flipping any number of its $1$-entries to $0$-entries, and changing any $0$-entry to $1$-entry of $M$ introduces a copy…

Combinatorics · Mathematics 2022-08-29 Shen-Fu Tsai

The rank problem in succinct data structures asks to preprocess an array A[1..n] of bits into a data structure using as close to n bits as possible, and answer queries of the form rank(k) = Sum_{i=1}^k A[i]. The problem has been intensely…

Data Structures and Algorithms · Computer Science 2009-07-08 Mihai Patrascu

In most of the network coding problems with $k$ messages, the existence of binary network coding solution over $\mathbb{F}_2$ depends on the existence of adequate sets of $k$-dimensional binary vectors such that each set comprises of…

Information Theory · Computer Science 2019-01-18 Mahesh Babu Vaddi , B. Sundar Rajan

Let $\sigma_b(X_{m,d}(\mathbb {C}))(\mathbb {R})$, $b(m+1) < \binom{m+d}{m}$, denote the set of all degree $d$ real homogeneous polynomials in $m+1$ variables (i.e. real symmetric tensors of format $(m+1)\times ... \times (m+1)$, $d$ times)…

Algebraic Geometry · Mathematics 2013-07-10 Edoardo Ballico

Matrix completion, i.e., the exact and provable recovery of a low-rank matrix from a small subset of its elements, is currently only known to be possible if the matrix satisfies a restrictive structural constraint---known as {\em…

Machine Learning · Statistics 2014-07-22 Yudong Chen , Srinadh Bhojanapalli , Sujay Sanghavi , Rachel Ward

Let $D(n)$ be the maximal determinant for $n \times n$ $\{\pm 1\}$-matrices, and ${\mathcal R}(n) = D(n)/n^{n/2}$ be the ratio of $D(n)$ to the Hadamard upper bound. We give several new lower bounds on ${\mathcal R}(n)$ in terms of $d$,…

Combinatorics · Mathematics 2016-10-26 Richard P. Brent , Judy-anne H. Osborn , Warren D. Smith

In binary jumbled pattern matching we wish to preprocess a binary string $S$ in order to answer queries $(i,j)$ which ask for a substring of $S$ that is of size $i$ and has exactly $j$ 1-bits. The problem naturally generalizes to…

Data Structures and Algorithms · Computer Science 2014-07-01 Danny Hermelin , Gad M. Landau , Yuri Rabinovich , Oren Weimann

We focus on formulae $\exists X.\, \varphi(\vec{Y}, X)$ of monadic second-order logic over the full binary tree, such that the witness $X$ is a well-founded set. The ordinal rank $\mathrm{rank}(X) < \omega_1$ of such a set $X$ measures its…

Logic in Computer Science · Computer Science 2025-12-16 Damian Niwiński , Paweł Parys , Michał Skrzypczak

The $l$-th stopping redundancy $\rho_l(\mathcal C)$ of the binary $[n, k, d]$ code $\mathcal C$, $1 \le l \le d$, is defined as the minimum number of rows in the parity-check matrix of $\mathcal C$, such that the smallest stopping set is of…

Information Theory · Computer Science 2017-03-07 Yauhen Yakimenka , Vitaly Skachek

Motivated by an application in computational biology, we consider low-rank matrix factorization with $\{0,1\}$-constraints on one of the factors and optionally convex constraints on the second one. In addition to the non-convexity shared…

Machine Learning · Statistics 2014-01-24 Martin Slawski , Matthias Hein , Pavlo Lutsik

We consider encoding problems for range queries on arrays. In these problems the goal is to store a structure capable of recovering the answer to all queries that occupies the information theoretic minimum space possible, to within lower…

Data Structures and Algorithms · Computer Science 2015-06-16 Pawel Gawrychowski , Patrick K. Nicholson

Fix integers $m \ge 2$, $s\ge 5$ and $d\ge 2s+2$. Here we describe the possible symmetric tensor ranks $\le 2d+s-7$ of all symmetric tensors (or homogeneous degree $d$ polynomials) in $m+1$ variables with border rank $s$.

Algebraic Geometry · Mathematics 2013-04-23 Edoardo Ballico

For a matroid $M$ having $m$ rank-one flats, the density $d(M)$ is $\tfrac{m}{r(M)}$ unless $m = 0$, in which case $d(M)= 0$. A matroid is density-critical if all of its proper minors of non-zero rank have lower density. By a 1965 theorem…

Combinatorics · Mathematics 2020-06-02 Rutger Campbell , Kevin Grace , James Oxley , Geoff Whittle

Consider a system of $m$ polynomial equations $\{p_i(x) = b_i\}_{i \leq m}$ of degree $D\geq 2$ in $n$-dimensional variable $x \in \mathbb{R}^n$ such that each coefficient of every $p_i$ and $b_i$s are chosen at random and independently…

Computational Complexity · Computer Science 2021-10-19 Jun-Ting Hsieh , Pravesh K. Kothari

In order to study $\mathbf{M}(R,C)$, the set of binary matrices with fixed row and column sums $R$ and $C$, we consider sub-matrices of the form $\begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}$ and $\begin{pmatrix} 0 & 1 \\ 1 & 0…

Combinatorics · Mathematics 2024-01-09 David Ellison , Bertrand Jouve , Lewi Stone

Every m by n matrix A with rank r has exactly r independent rows and r independent columns. The fact has become the most fundamental theorem in linear algebra such that we may favor it in an unconscious way. The sole aim of this paper is to…

History and Overview · Mathematics 2022-07-29 Jun Lu

The minimum rank problem for a (simple) graph $G$ is to determine the smallest possible rank over all real symmetric matrices whose $ij$th entry (for $i\neq j$) is nonzero whenever $\{i,j\}$ is an edge in $G$ and is zero otherwise. This…

Combinatorics · Mathematics 2014-10-09 Shaun Fallat , Leslie Hogben

We give an excluded-minor characterization for the class of matroids M in which M\e or M/e is binary for all e in E(M). This class is closely related to the class of matroids in which every member is binary or can be obtained from a binary…

Combinatorics · Mathematics 2013-07-30 James Oxley , Jesse Taylor

Design matrices are sparse matrices in which the supports of different columns intersect in a few positions. Such matrices come up naturally when studying problems involving point sets with many collinear triples. In this work we consider…

Combinatorics · Mathematics 2018-03-13 Zeev Dvir , Ankit Garg , Rafael Oliveira , József Solymosi
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