Saved in:
Bibliographic Details
Main Authors: Cornaz, Denis, Kerleau, Sébastien, Royer, Clément W.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.08994
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910911419121664
author Cornaz, Denis
Kerleau, Sébastien
Royer, Clément W.
author_facet Cornaz, Denis
Kerleau, Sébastien
Royer, Clément W.
contents Positive spanning sets (PSSs) are families of vectors that span a given linear space through non-negative linear combinations. Despite certain classes of PSSs being well understood, a complete characterization of PSSs remains elusive. In this paper, we explore a relatively understudied relationship between positive spanning sets and strongly edge-connected digraphs, in that the former can be viewed as a generalization of the latter. We leverage this connection to define a decomposition structure for positive spanning sets inspired by the ear decomposition from digraph theory.
format Preprint
id arxiv_https___arxiv_org_abs_2411_08994
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A characterization of positive spanning sets with ties to strongly connected digraphs
Cornaz, Denis
Kerleau, Sébastien
Royer, Clément W.
Discrete Mathematics
Combinatorics
Optimization and Control
05C20, 05C50, 15A21, 15B99
Positive spanning sets (PSSs) are families of vectors that span a given linear space through non-negative linear combinations. Despite certain classes of PSSs being well understood, a complete characterization of PSSs remains elusive. In this paper, we explore a relatively understudied relationship between positive spanning sets and strongly edge-connected digraphs, in that the former can be viewed as a generalization of the latter. We leverage this connection to define a decomposition structure for positive spanning sets inspired by the ear decomposition from digraph theory.
title A characterization of positive spanning sets with ties to strongly connected digraphs
topic Discrete Mathematics
Combinatorics
Optimization and Control
05C20, 05C50, 15A21, 15B99
url https://arxiv.org/abs/2411.08994