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Related papers: On Maximum, Typical and Generic Ranks

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In this paper, we study several definitions of generalized rank weights for arbitrary finite extensions of fields. We prove that all these definitions coincide, generalizing known results for extensions of finite fields.

Information Theory · Computer Science 2019-02-05 Grégory Berhuy , Jean Fasel , Odile Garotta

We provide new upper and lower bounds on the minimum possible ratio of the spectral and Frobenius norms of a (partially) symmetric tensor. In the particular case of general tensors our result recovers a known upper bound. For symmetric…

Functional Analysis · Mathematics 2024-03-05 Khazhgali Kozhasov , Josué Tonelli-Cueto

In this article, we consider the rank of universal $m$-gonal forms for all sufficiently large $m$. Especially, we determine the minimal rank of universal $m$-gonal form and the maximal rank of kinds of proper universal $m$-gonal form.

Number Theory · Mathematics 2021-01-01 Byeong Moon Kim , Dayoon Park

This work focuses on the degree bound of maps between balls with maximum geometric rank and minimum target dimension where this geometric rank occurs. Specifically, we show that rational proper maps between $\mathbb{B}_n$ and $\mathbb{B}_N$…

Complex Variables · Mathematics 2024-10-22 Abdullah Al Helal

For t a positive integer, the t-term rank of a (0,1)-matrix A is defined to be the largest number of 1s in A with at most one 1 in each column and at most t 1s in each row. Thus the 1-term rank is the ordinary term rank. We generalize some…

Combinatorics · Mathematics 2010-11-29 Richard A. Brualdi , Kathleen P. Kiernan , Seth A. Meyer , Michael W. Schroeder

We study the tensor rank of the tensor corresponding to the algebra of n-variate complex polynomials modulo the dth power of each variable. As a result we find a sequence of tensors with a large gap between rank and border rank, and thus a…

Commutative Algebra · Mathematics 2017-03-24 Jeroen Zuiddam

We prove a lower bound on the rank of tensors constructed from families of linear maps that `expand' the dimension of every subspace. Such families, called {\em dimension expanders} have been studied for many years with several known…

Combinatorics · Mathematics 2025-12-10 Zeev Dvir

We investigate the computational complexity of tensor rank, a concept that plays fundamental role in different topics of modern applied mathematics. For tensors over any integral domain, we prove that the rank problem is polynomial time…

Combinatorics · Mathematics 2016-11-08 Yaroslav Shitov

We show that if a homogeneous polynomial $f$ in $n$ variables has Waring rank $n+1$, then the corresponding projective hypersurface $f=0$ has at most isolated singularities, and the type of these singularities is completely determined by…

Algebraic Geometry · Mathematics 2020-04-21 Alexandru Dimca , Gabriel Sticlaru

We introduce subspace rank as a tool for studying ranks of tensors and X-rank more generally. We derive a new upper bound for the rank of a tensor and determine the ranks of partially symmetric tensors in C^2 \otimes C^b \otimes C^b. We…

Algebraic Geometry · Mathematics 2014-06-02 Jarosław Buczyński , J. M. Landsberg

We show that for the edge ideals of a certain class of forests, the arithmetical rank equals the projective dimension.

Commutative Algebra · Mathematics 2007-05-23 Margherita Barile

In this paper we suggest a new algorithm for the computation of a best rank one approximation of tensors, called alternating singular value decomposition. This method is based on the computation of maximal singular values and the…

Numerical Analysis · Mathematics 2015-03-19 S. Friedland , V. Mehrmann , R. Pajarola , S. K. Suter

We show that a best rank one approximation to a real symmetric tensor, which in principle can be nonsymmetric, can be chosen symmetric. Furthermore, a symmetric best rank one approximation to a symmetric tensor is unique if the tensor does…

Functional Analysis · Mathematics 2012-11-27 Shmuel Friedland

The purpose of this note is to give a linear algebra algorithm to find out if a rank of a given tensor over a field $\F$ is at most $k$ over the algebraic closure of $\F$, where $k$ is a given positive integer. We estimate the arithmetic…

Combinatorics · Mathematics 2020-11-17 Mohsen Aliabadi , Shmuel Friedland

We prove (without exceptions) the existence of irredundant tensor decompositions with the number of addenda equal to rank $+1$. We also discuss the existence of decompositions with more than the tensor rank terms, which are concise, while…

Algebraic Geometry · Mathematics 2020-02-17 Edoardo Ballico

Matrices of rank at most k are defined by the vanishing of polynomials of degree k + 1 in their entries (namely, their (k + 1)-times-(k + 1)-subdeterminants), regardless of the size of the matrix. We prove a qualitative analogue of this…

Algebraic Geometry · Mathematics 2015-01-14 Jan Draisma , Jochen Kuttler

We prove that the general symmetric tensor in $S^d {\mathbb C}^{n+1}$ of rank r is identifiable, provided that r is smaller than the generic rank. That is, its Waring decomposition as a sum of r powers of linear forms is unique. Only three…

Algebraic Geometry · Mathematics 2022-09-02 Luca Chiantini , Giorgio Ottaviani , Nick Vannieuwenhoven

We show that determining the rank of a tensor over a field has the same complexity as deciding the existential theory of that field. This implies earlier NP-hardness results by H{\aa}stad~\cite{H90}. The hardness proof also implies an…

Computational Complexity · Computer Science 2024-01-11 Marcus Schaefer , Daniel Stefankovic

Berge's maximum theorem gives conditions ensuring the continuity of an optimised function as a parameter changes. In this paper we state and prove the maximum theorem in terms of the theory of monoidal topology and the theory of double…

Category Theory · Mathematics 2018-07-03 Seerp Roald Koudenburg

For massive and heterogeneous modern datasets, it is of fundamental interest to provide guarantees on the accuracy of estimation when computational resources are limited. In the application of learning to rank, we provide a hierarchy of…

Machine Learning · Computer Science 2016-08-23 Ashish Khetan , Sewoong Oh
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