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This paper contributes to the study of rank-metric codes from an algebraic and combinatorial point of view. We introduce $q$-polymatroids, the $q$-analogue of polymatroids, and develop their basic properties. We associate a pair of…

Information Theory · Computer Science 2019-09-06 Elisa Gorla , Relinde Jurrius , Hiram H. López , Alberto Ravagnani

We characterize the generator matrix in standard form of generalized Gabidulin codes. The parametrization we get for the non-systematic part of this matrix coincides with the $q$-analogue of generalized Cauchy matrices, leading to the…

Information Theory · Computer Science 2020-01-29 Alessandro Neri

In this article, we study polymatroids that are representable by means of linear restricted rank-metric codes, namely, by subspaces of the space of alternating, symmetric, or Hermitian square matrices endowed with the rank metric. More…

Combinatorics · Mathematics 2026-02-20 Eimear Byrne , Giovanni Longobardi , and Rocco Trombetti

We derive a new Rademacher complexity bound for deep neural networks using Koopman operators, group representations, and reproducing kernel Hilbert spaces (RKHSs). The proposed bound describes why the models with high-rank weight matrices…

Machine Learning · Computer Science 2026-02-25 Yuka Hashimoto , Sho Sonoda , Isao Ishikawa , Masahiro Ikeda

A Z2Z4Q8-code is a non-empty subgroup of a direct product of copies of Z_2, Z_4 and Q_8 (the binary field, the ring of integers modulo 4 and the quaternion group on eight elements, respectively). Such Z2Z4Q8-codes are translation invariant…

Information Theory · Computer Science 2012-11-26 Ángel del Rio , Josep Rifà

We prove that a circulant Hadamard code of length $4n$ can always be seen as an HFP-code (Hadamard full propelinear code) of type $C_{4n}\times C_2$, where $C_2=\langle u\rangle$ or the same, as a cocyclic Hadamard code. We compute the rank…

Combinatorics · Mathematics 2017-11-28 Josep Rifà

In previous work [Adv. Math. 298, pp. 325-368, 2016], the structure of the simultaneous kernels of Hadamard powers of any positive semidefinite matrix were described. Key ingredients in the proof included a novel stratification of the cone…

Rings and Algebras · Mathematics 2019-05-17 Alexander Belton , Dominique Guillot , Apoorva Khare , Mihai Putinar

Hadamard matrices are $(-1, +1)$ square matrices with mutually orthogonal rows. The Hadamard conjecture states that Hadamard matrices of order $n$ exist whenever $n$ is $1$, $2$, or a multiple of $4$. However, no construction is known that…

Combinatorics · Mathematics 2023-06-30 Matteo Cati , Dmitrii V. Pasechnik

Linearized polynomials have attracted a lot of attention because of their applications in both geometric and algebraic areas. Let $q$ be a prime power, $n$ be a positive integer and $\sigma$ be a generator of…

Number Theory · Mathematics 2021-07-16 Paolo Santonastaso , Ferdinando Zullo

Let $\cal M$ denote the set ${\cal S}_{n, q}$ of $n \times n$ symmetric matrices with entries in ${\rm GF}(q)$ or the set ${\cal H}_{n, q^2}$ of $n \times n$ Hermitian matrices whose elements are in ${\rm GF}(q^2)$. Then $\cal M$ equipped…

Combinatorics · Mathematics 2020-11-16 Antonio Cossidente , Giuseppe Marino , Francesco Pavese

We consider linear rank-metric codes in $\mathbb F_{q^m}^n$. We show that the properties of being MRD (maximum rank distance) and non-Gabidulin are generic over the algebraic closure of the underlying field, which implies that over a large…

Information Theory · Computer Science 2018-03-13 Alessandro Neri , Anna-Lena Horlemann-Trautmann , Tovohery Randrianarisoa , Joachim Rosenthal

Kernel functions are frequently encountered in differential equations and machine learning applications. In this work, we study the rank of matrices arising out of the kernel function $K: X \times Y \mapsto \mathbb{R}$, where the sets $X, Y…

Numerical Analysis · Mathematics 2025-10-17 Sumit Singh , Sivaram Ambikasaran

This paper investigates the critical role of eigenalignments between the kernel matrix and learning targets in achieving robust generalization in learning problems. We establish a direct connection between generalization performance in…

Machine Learning · Statistics 2026-05-18 Yang Liu , Ernest Fokoue , Richard Lange , Daniel Krutz

We consider higher-rank versions of the standard numerical range for matrices. A central motivation for this investigation comes from quantum error correction. We develop the basic structure theory for the higher-rank numerical ranges, and…

Functional Analysis · Mathematics 2007-05-23 Man-Duen Choi , David W. Kribs , Karol Zyczkowski

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

Let $f$ be the $\mathbb{F}_q$-linear map over $\mathbb{F}_{q^{2n}}$ defined by $x\mapsto x+ax^{q^s}+bx^{q^{n+s}}$ with $\gcd(n,s)=1$. It is known that the kernel of $f$ has dimension at most $2$, as proved by Csajb\'ok et al. in "A new…

Combinatorics · Mathematics 2020-04-23 Olga Polverino , Giovanni Zini , Ferdinando Zullo

By using the notion of $d$-embedding $\Gamma$ of a (canonical) subgeometry $\Sigma$ and of exterior set with respect to the $h$-secant variety $\Omega_{h}(\mathcal{A})$ of a subset $\mathcal{A}$, $ 0 \leq h \leq n-1$, in the finite…

Information Theory · Computer Science 2024-05-03 Nicola Durante , Giovanni Giuseppe Grimaldi , Giovanni Longobardi

This article introduces HODLR3D, a class of hierarchical matrices arising out of $N$-body problems in three dimensions. HODLR3D relies on the fact that certain off-diagonal matrix sub-blocks arising out of the $N$-body problems in three…

Numerical Analysis · Mathematics 2023-08-01 V A Kandappan , Vaishnavi Gujjula , Sivaram Ambikasaran

A general, {\em rectangular} kernel matrix may be defined as $K_{ij} = \kappa(x_i,y_j)$ where $\kappa(x,y)$ is a kernel function and where $X=\{x_i\}_{i=1}^m$ and $Y=\{y_i\}_{i=1}^n$ are two sets of points. In this paper, we seek a low-rank…

Numerical Analysis · Mathematics 2023-06-30 Difeng Cai , Edmond Chow , Yuanzhe Xi

A real symmetric matrix $M$ is completely positive semidefinite if it admits a Gram representation by (Hermitian) positive semidefinite matrices of any size $d$. The smallest such $d$ is called the (complex) completely positive semidefinite…

Optimization and Control · Mathematics 2016-10-27 Sander Gribling , David de Laat , Monique Laurent