Issue |
RAIRO-Oper. Res.
Volume 56, Number 1, January-February 2022
|
|
---|---|---|
Page(s) | 199 - 211 | |
DOI | https://doi.org/10.1051/ro/2022001 | |
Published online | 07 February 2022 |
Incidence dimension and 2-packing number in graphs
1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia
2
Institute of Mathematics, Physics and Mechanics, Jadranska ulica 19, 1000 Ljubljana, Slovenia
3
Departamento de Matemáticas, Escuela Técnica Superior de Ingeniería de Algeciras, Universidad de Cádiz, Av. Ramón Puyol s/n, 11202 Algeciras, Spain
* Corresponding author: iztok.peterin@um.si
Received:
15
May
2019
Accepted:
3
January
2020
Let G = (V, E) be a graph. A set of vertices A is an incidence generator for G if for any two distinct edges e, f ∈ E(G) there exists a vertex from A which is an endpoint of either e or f. The smallest cardinality of an incidence generator for G is called the incidence dimension and is denoted by dimI(G). A set of vertices P ⊆ V(G) is a 2-packing of G if the distance in G between any pair of distinct vertices from P is larger than two. The largest cardinality of a 2-packing of G is the packing number of G and is denoted by ρ(G). In this article, the incidence dimension is introduced and studied. The given results show a close relationship between dimI(G) and ρ(G). We first note that the complement of any 2-packing in graph G is an incidence generator for G, and further show that either dimI(G) = |V(G)-|ρ(G) or dimI(G) = |V(G)-|ρ(G) - 1 for any graph G. In addition, we present some bounds for dimI(G) and prove that the problem of determining the incidence dimension of a graph is NP-hard.
Mathematics Subject Classification: 05C69 / 05C12
Key words: incidence dimension / incidence generator / 2-packing
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.