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  1. Home > Articles & Issues >
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  3. Computing metric hul ...
Article

Computing metric hulls in graphs

Kolja Knauer ORCID (1) (2) (3), Nicolas Nisse ORCID (4)
(1) Laboratoire d'Informatique et Systèmes
(2) Laboratoire d'Informatique et des Systèmes
(3) Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
(4) Combinatorics, Optimization and Algorithms for Telecommunications
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Submitted on
July 30, 2018
Accepted on
May 15, 2019
Published on
May 23, 2019
Last modified on
March 31, 2025
Special issue 21
vol. 21:1, ICGT 2018
DOI
10.23638/DMTCS-21-1-11
License
https://about.hal.science/hal-authorisation-v1
Théorie métrique des graphes
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Computing metric hulls in graphs

Kolja Knauer ORCID (1) (2) (3), Nicolas Nisse ORCID (4)
(1) Laboratoire d'Informatique et Systèmes
(2) Laboratoire d'Informatique et des Systèmes
(3) Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
(4) Combinatorics, Optimization and Algorithms for Telecommunications
Abstract
We prove that, given a closure function the smallest preimage of a closed set can be calculated in polynomial time in the number of closed sets. This implies that there is a polynomial time algorithm to compute the convex hull number of a graph, when all its convex subgraphs are given as input. We then show that deciding if the smallest preimage of a closed set is logarithmic in the size of the ground set is LOGSNP-hard if only the ground set is given. A special instance of this problem is to compute the dimension of a poset given its linear extension graph, that is conjectured to be in P.The intent to show that the latter problem is LOGSNP-complete leads to several interesting questions and to the definition of the isometric hull, i.e., a smallest isometric subgraph containing a given set of vertices $S$. While for $|S|=2$ an isometric hull is just a shortest path, we show that computing the isometric hull of a set of vertices is NP-complete even if $|S|=3$. Finally, we consider the problem of computing the isometric hull number of a graph and show that computing it is $\Sigma^P_2$ complete.
Keywords
  • [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]
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