When does subtracting a rank-one approximation decrease tensor rank?

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Horobet, Emil, Turatti, Ettore Teixeira
Natura: Preprint
Pubblicazione: 2023
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866916576173752320
author Horobet, Emil
Turatti, Ettore Teixeira
author_facet Horobet, Emil
Turatti, Ettore Teixeira
contents Subtracting a critical rank-one approximation from a matrix always results in a matrix with a lower rank. This is not true for tensors in general. Motivated by this, we ask the question: what is the closure of the set of those tensors for which subtracting some of its critical rank-one approximation from it and repeating the process we will eventually get to zero? In this article, we show how to construct this variety of tensors and we show how this is connected to the bottleneck points of the variety of rank-one tensors (and in general to the singular locus of the hyperdeterminant), and how this variety can be equal to and in some cases be more than (weakly) orthogonally decomposable tensors.
format Preprint
id arxiv_https___arxiv_org_abs_2303_14985
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle When does subtracting a rank-one approximation decrease tensor rank?
Horobet, Emil
Turatti, Ettore Teixeira
Algebraic Geometry
Metric Geometry
Optimization and Control
14Q99, 15A69, 58K05, 14M12, 13P99, 41A65
Subtracting a critical rank-one approximation from a matrix always results in a matrix with a lower rank. This is not true for tensors in general. Motivated by this, we ask the question: what is the closure of the set of those tensors for which subtracting some of its critical rank-one approximation from it and repeating the process we will eventually get to zero? In this article, we show how to construct this variety of tensors and we show how this is connected to the bottleneck points of the variety of rank-one tensors (and in general to the singular locus of the hyperdeterminant), and how this variety can be equal to and in some cases be more than (weakly) orthogonally decomposable tensors.
title When does subtracting a rank-one approximation decrease tensor rank?
topic Algebraic Geometry
Metric Geometry
Optimization and Control
14Q99, 15A69, 58K05, 14M12, 13P99, 41A65
url https://arxiv.org/abs/2303.14985