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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

The complexity of bilinear maps (equivalently, of $3$-mode tensors) has been studied extensively, most notably in the context of matrix multiplication. While circuit complexity and tensor rank coincide asymptotically for $3$-mode tensors,…

Computational Complexity · Computer Science 2026-02-13 Cornelius Brand , Radu Curticapean , Petteri Kaski , Baitian Li , Ian Orzel , Tim Seppelt , Jiaheng Wang

This educational article highlights the geometric and algebraic complexities that distinguish tensors from matrices, to supplement coverage in advanced courses on linear algebra, matrix analysis, and tensor decompositions. Using the case of…

Numerical Analysis · Mathematics 2025-04-08 Gabriel H. Brown , Joe Kileel , Tamara G. Kolda

The tensor rank decomposition, or canonical polyadic decomposition, is the decomposition of a tensor into a sum of rank-1 tensors. The condition number of the tensor rank decomposition measures the sensitivity of the rank-1 summands with…

Numerical Analysis · Mathematics 2024-07-02 Carlos Beltrán , Paul Breiding , Nick Vannieuwenhoven

We study path-connectedness and homotopy groups of sets of tensors defined by tensor rank, border rank, multilinear rank, as well as their symmetric counterparts for symmetric tensors. We show that over $\mathbb{C}$, the set of rank-$r$…

Algebraic Geometry · Mathematics 2018-04-24 Pierre Comon , Lek-Heng Lim , Yang Qi , Ke Ye

For tensors of fixed order, we establish three types of upper bounds for the geometric rank in terms of the subrank. Firstly, we prove that, under a mild condition on the characteristic of the base field, the geometric rank of a tensor is…

Combinatorics · Mathematics 2025-06-23 Qiyuan Chen , Ke Ye

The matrix rank and its positive versions are robust for small approximations, i.e. they do not decrease under small perturbations. In contrast, the multipartite tensor rank can collapse for arbitrarily small errors, i.e. there may be a gap…

Quantum Physics · Physics 2025-03-03 Andreas Klingler , Tim Netzer , Gemma De les Coves

In this paper we discuss copositive tensors, which are a natural generalization of the copositive matrices. We present an analysis of some basic properties of copositive tensors; as well as the conditions under which class of copositive…

Optimization and Control · Mathematics 2018-06-05 Muhammad Faisal Iqbal , Faizan Ahmed , Muhammad Aqeel , Salman Ahmad

n-recollements of triangulated categories and n-derived-simple algebras are introduced. The relations between the n-recollements of derived categories of algebras and the Cartan determinants, homological smoothness and Gorensteinness of…

Representation Theory · Mathematics 2016-11-25 Yang Han , Yongyun Qin

We prove a variant of Manin's conjecture for Campana points on wonderful compactifications of semi-simple algebraic groups of adjoint type. We use this to provide evidence for a new conjecture on the leading constant in Manin's conjecture…

Number Theory · Mathematics 2025-11-04 Dylon Chow , Daniel Loughran , Ramin Takloo-Bighash , Sho Tanimoto

There exist linear relations among tensor entries of low rank tensors. These linear relations can be expressed by multi-linear polynomials, which are called generating polynomials. We use generating polynomials to compute tensor rank…

Numerical Analysis · Mathematics 2022-08-17 Jiawang Nie , Li Wang , Zequn Zheng

This is an expanded lecture note for "Masterclass on sofic groups and applications to operator algebras" (University of Copenhagen, 5-9 November 2012). It is about algebraic aspects of the Connes Embedding Conjecture. It contains new proofs…

Operator Algebras · Mathematics 2013-02-19 Narutaka Ozawa

Provably finding stationary points on bounded-rank tensors turns out to be an open problem [E. Levin, J. Kileel, and N. Boumal, Math. Program., 199 (2023), pp. 831--864] due to the inherent non-smoothness of the set of bounded-rank tensors.…

Optimization and Control · Mathematics 2026-05-14 Bin Gao , Renfeng Peng , Ya-xiang Yuan

This paper studies the issues about tensors. Three typical kinds of tensor decomposition are mentioned. Among these decompositions, the t-SVD is proposed in this decade. Different definitions of rank derive from tensor decompositions. Based…

Numerical Analysis · Mathematics 2020-05-26 Jun Han

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 analyze rank decompositions of the $3\times 3$ matrix multiplication tensor over $\mathbb{Z}/2\mathbb{Z}$. We restrict our attention to decompositions of rank $\le 21$, as only those decompositions will yield an asymptotically faster…

Computational Complexity · Computer Science 2024-02-05 Jason Yang

Whereas matrix rank is additive under direct sum, in 1981 Sch\"onhage showed that one of its generalizations to the tensor setting, tensor border rank, can be strictly subadditive for tensors of order three. Whether border rank is additive…

Algebraic Geometry · Mathematics 2021-04-12 Matthias Christandl , Fulvio Gesmundo , Mateusz Michałek , Jeroen Zuiddam

In this note, we present two arguments showing that the classical \textit{linear adjoint cone restriction conjecture} holds for the class of functions supported on the cone and invariant under the spatial rotation in all dimensions. The…

Classical Analysis and ODEs · Mathematics 2008-06-20 Shuanglin Shao

We compute the expected value of powers of the geometric condition number of random tensor rank decompositions. It is shown in particular that the expected value of the condition number of $n_1\times n_2 \times 2$ tensors with a random…

Numerical Analysis · Mathematics 2022-09-02 Paul Breiding , Nick Vannieuwenhoven

In problems involving approximation, completion, denoising, dimension reduction, estimation, interpolation, modeling, order reduction, regression, etc, we argue that the near-universal practice of assuming that a function, matrix, or tensor…

Numerical Analysis · Mathematics 2019-02-12 Ke Ye , Lek-Heng Lim