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This paper investigates entropic matroids, that is, matroids whose rank function is given as the Shannon entropy of random variables. In particular, we consider $p$-entropic matroids, for which the random variables each have support of…

Information Theory · Computer Science 2019-10-23 Emmanuel Abbe , Sophie Spirkl

It is well known that linear rank-metric codes give rise to q-polymatroids. Analogously to matroid theory one may ask whether a given q-polymatroid is representable by a rank-metric code. We provide an answer by presenting an example of a…

Information Theory · Computer Science 2022-03-14 Heide Gluesing-Luerssen , Benjamin Jany

This paper proposes a novel matrix rank-one decomposition for quaternion Hermitian matrices, which admits a stronger property than the previous results in (sturm2003cones,huang2007complex,ai2011new). The enhanced property can be used to…

Optimization and Control · Mathematics 2021-09-14 Chang He , Bo Jiang , Xihua Zhu

This manuscript describes a technique for computing partial rank-revealing factorizations, such as, e.g, a partial QR factorization or a partial singular value decomposition. The method takes as input a tolerance $\varepsilon$ and an…

Numerical Analysis · Mathematics 2015-06-19 Per-Gunnar Martinsson , Sergey Voronin

Let $M$ be an arbitrary matroid with circuits $\mathcal{C}(M)$. We propose a definition of a derived matroid $\delta M$ that has as its ground set $\mathcal{C}(M)$. Unlike previous attempts of such a definition, our definition applies to…

Combinatorics · Mathematics 2022-12-22 Olga Kuznetsova , Ragnar Freij-Hollanti , Relinde Jurrius

A (q,k,t)-design matrix is an m x n matrix whose pattern of zeros/non-zeros satisfies the following design-like condition: each row has at most q non-zeros, each column has at least k non-zeros and the supports of every two columns…

Combinatorics · Mathematics 2011-03-11 Boaz Barak , Zeev Dvir , Avi Wigderson , Amir Yehudayoff

We consider the problem of recovering a lowrank matrix M from a small number of random linear measurements. A popular and useful example of this problem is matrix completion, in which the measurements reveal the values of a subset of the…

Information Theory · Computer Science 2009-10-05 Emmanuel J. Candes , Yaniv Plan

We study the rank of the random $n\times m$ 0/1 matrix ${\bf A}_{n,m;k}$ where each column is chosen independently from the set $\Omega_{n,k}$ of 0/1 vectors with exactly $k$ 1's. Here 0/1 are the elements of the field $GF_2$. We obtain an…

Combinatorics · Mathematics 2018-11-16 C. Cooper , A. M. Frieze , W. Pegden

We study the functions that count matrices of given rank over a finite field with specified positions equal to zero. We show that these matrices are $q$-analogues of permutations with certain restricted values. We obtain a simple closed…

We present a new algorithm for computing the real radical of an ideal and, more generally, the-radical of, which is based on convex moment optimization. A truncated positive generic linear functional vanishing on the generators of is…

Commutative Algebra · Mathematics 2021-10-01 Lorenzo Baldi , Bernard Mourrain

In this work, we propose a method to efficiently find the regularization parameter for low-rank MMSE filters based on a Kronecker-product representation. We show that the regularization parameter is surprisingly linked to the problem of…

Machine Learning · Computer Science 2025-12-18 Daniel Gomes de Pinho Zanco , Leszek Szczecinski , Jacob Benesty , Eduardo Vinicius Kuhn

We consider multilevel low rank (MLR) matrices, defined as a row and column permutation of a sum of matrices, each one a block diagonal refinement of the previous one, with all blocks low rank given in factored form. MLR matrices extend low…

Machine Learning · Statistics 2025-10-27 Tetiana Parshakova , Trevor Hastie , Eric Darve , Stephen Boyd

We consider solving the low rank matrix sensing problem with Factorized Gradient Descend (FGD) method when the true rank is unknown and over-specified, which we refer to as over-parameterized matrix sensing. If the ground truth signal…

Machine Learning · Computer Science 2021-02-05 Jiacheng Zhuo , Jeongyeol Kwon , Nhat Ho , Constantine Caramanis

In this paper, the determinants of $n\times n$ matrices over commutative finite chain rings and over commutative finite principal ideal rings are studied. The number of $n\times n$ matrices over a commutative finite chain ring ${R}$ of a…

Rings and Algebras · Mathematics 2017-02-02 Parinyawat Choosuwan , Somphong Jitman , Patanee Udomkavanich

A matroid $N$ is said to be triangle-rounded in a class of matroids $\mathcal{M}$ if each $3$-connected matroid $M\in \mathcal{M}$ with a triangle $T$ and an $N$-minor has an $N$-minor with $T$ as triangle. Reid gave a result useful to…

Combinatorics · Mathematics 2021-01-14 João Paulo Costalonga , Xianqiang Zhou

We prove that for any real-valued matrix $X \in \R^{m \times n}$, and positive integers $r \ge k$, there is a subset of $r$ columns of $X$ such that projecting $X$ onto their span gives a $\sqrt{\frac{r+1}{r-k+1}}$-approximation to best…

Data Structures and Algorithms · Computer Science 2015-03-19 Venkatesan Guruswami , Ali Kemal Sinop

We study the problem of low-rank matrix completion for symmetric matrices. The minimum rank of a completion of a generic partially specified symmetric matrix depends only on the location of the specified entries, and not their values, if…

Combinatorics · Mathematics 2020-10-16 Daniel Irving Bernstein , Grigoriy Blekherman , Kisun Lee

We investigate the spectral properties of the product of $M$ complex non-Hermitian random matrices that are obtained by removing $L$ rows and columns of larger unitary random matrices uniformly distributed on the group ${\rm U}(N+L)$. Such…

Mathematical Physics · Physics 2014-06-10 Gernot Akemann , Zdzislaw Burda , Mario Kieburg , Taro Nagao

The main aim of this paper is to characterize ideals I in the power series ring R=K[[x1,...,xs]] that are finitely determined up to contact equivalence by proving that this is the case if and only if I is an isolated complete intersection…

Algebraic Geometry · Mathematics 2019-05-09 Gert-Martin Greuel , Thuy Huong Pham

We exploit the truncated singular value decomposition and the recently proposed circulant decomposition for an efficient first-order approximation of the multiplication of large dense matrices. A decomposition of each matrix into a sum of a…

Numerical Analysis · Mathematics 2026-04-27 Suvendu Kar , Hariprasad M. , Sai Gowri J. N. , Murugesan Venkatapathi