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Related papers: Computing symmetric rank for symmetric tensors

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This paper studies nuclear norms of symmetric tensors. As recently shown by Friedland and Lim, the nuclear norm of a symmetric tensor can be achieved at a symmetric decomposition. We discuss how to compute symmetric tensor nuclear norms,…

Optimization and Control · Mathematics 2016-05-31 Jiawang Nie

For a given symmetric tensor, we aim at finding a new one whose symmetric rank is small and that is close to the given one. There exist linear relations among the entries of low rank symmetric tensors. Such linear relations can be expressed…

Numerical Analysis · Mathematics 2017-09-08 Jiawang Nie

The determination of the maximal ranks of a set of a given type of tensors is a basic problem both in theory and application. In statistical applications, the maximal rank is related to the number of necessary parameters to be built in a…

Rings and Algebras · Mathematics 2008-08-21 Toshio Sakata , Toshio Sumi , Mitsuhiro Miyazaki

In this paper we study singularities of third secant varieties of Veronese embedding $v_d(\mathbb{P}^n)$, which corresponds to the variety of symmetric tensors of border rank at most three in $(\mathbb{C}^{n+1})^{\otimes d}$.

Algebraic Geometry · Mathematics 2018-01-16 Kangjin Han

We prove (with a mild restriction on the multidegrees) that all secant varieties of Segre-Veronese varieties with $k>2$ factors, $k-2$ of them being $\mathbb{P}^1$, have the expected dimension. This is equivalent to compute the dimension of…

Algebraic Geometry · Mathematics 2023-06-12 Edoardo Ballico

This is a survey primarily about determining the border rank of tensors, especially those relevant for the study of the complexity of matrix multiplication. This is a subject that on the one hand is of great significance in theoretical…

Algebraic Geometry · Mathematics 2022-08-02 J. M. Landsberg

We consider here the problem, which is quite classical in Algebraic geometry, of studying the secant varieties of a projective variety $X$. The case we concentrate on is when $X$ is a Veronese variety, a Grassmannian or a Segre variety. Not…

We study the problem of finding orthogonal low-rank approximations of symmetric tensors. In the case of matrices, the approximation is a truncated singular value decomposition which is then symmetric. Moreover, for rank-one approximations…

Numerical Analysis · Mathematics 2019-06-18 Oscar Mickelin , Sertac Karaman

The tensor rank decomposition is a useful tool for the geometric interpretation of the tensors in the canonical tensor model (CTM) of quantum gravity. In order to understand the stability of this interpretation, it is important to be able…

General Relativity and Quantum Cosmology · Physics 2021-07-22 Dennis Obster , Naoki Sasakura

We study typical ranks with respect to a real variety $X$. Examples of such are tensor rank ($X$ is the Segre variety) and symmetric tensor rank ($X$ is the Veronese variety). We show that any rank between the minimal typical rank and the…

Algebraic Geometry · Mathematics 2015-12-08 Alessandra Bernardi , Grigoriy Blekherman , Giorgio Ottaviani

We consider symmetric tensors of format $2 \times 2 \times 2$ and $2 \times 2 \times 2 \times 2$ over prime fields. Using computer algebra we compute the canonical forms of these tensors. For $2 \times 2 \times 2$ symmetric tensors, we…

Combinatorics · Mathematics 2012-09-25 Stavros G. Stavrou

We address the general problem of estimating the probability that a real symmetric tensor is close to rank-one tensors. Using Weyl's tube formula, we turn this question into a differential geometric one involving the study of metric…

Algebraic Geometry · Mathematics 2024-12-10 Alberto Cazzaniga , Antonio Lerario , Andrea Rosana

We present an algorithm for decomposing a symmetric tensor, of dimension n and order d as a sum of rank-1 symmetric tensors, extending the algorithm of Sylvester devised in 1886 for binary forms. We recall the correspondence between the…

Symbolic Computation · Computer Science 2010-11-29 Jerome Brachat , Pierre Comon , Bernard Mourrain , Elias Tsigaridas

We establish basic information about border rank algorithms for the matrix multiplication tensor and other tensors with symmetry. We prove that border rank algorithms for tensors with symmetry (such as matrix multiplication and the…

Algebraic Geometry · Mathematics 2016-02-01 J. M. Landsberg , Mateusz Michałek

Comon's conjecture on the equality of the rank and the symmetric rank of a symmetric tensor, and Strassen's conjecture on the additivity of the rank of tensors are two of the most challenging and guiding problems in the area of tensor…

Algebraic Geometry · Mathematics 2018-10-23 Alex Casarotti , Alex Massarenti , Massimiliano Mella

We study the symmetric tensor rank of multiplication over finite field extensions using linearized polynomials. Via field trace, symmetric linearized polynomials are identified with symmetric bilinear forms and symmetric matrices, allowing…

Combinatorics · Mathematics 2026-05-13 Giuseppe Cotardo , Ferdinando Zullo

In this paper, we first introduce the invertibility of even-order tensors and the separable tensors, including separable symmetry tensors and separable anti-symmetry tensors, defined respectively as the sum and the algebraic sum of rank-1…

Algebraic Geometry · Mathematics 2022-03-25 Changqing Xu

We introduce the ``skew apolarity lemma'' and we use it to give algorithms for the skew-symmetric rank and the decompositions of tensors in {$\bigwedge^dV_{\mathbb{C}}$ with $d\leq 3$ and $\dim V_{\mathbb{C}} \leq 8$}. New algorithms to…

Algebraic Geometry · Mathematics 2019-08-08 Enrique Arrondo , Alessandra Bernardi , Pedro Macias Marques , Bernard Mourrain

We study the real rank of points with respect to a real variety $X$. This is a generalization of various tensor ranks, where $X$ is in a specific family of real varieties like Veronese or Segre varieties. The maximal real rank can be…

Algebraic Geometry · Mathematics 2015-11-24 Grigoriy Blekherman , Rainer Sinn

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