Skip to main content

Research Repository

Advanced Search

Partitioning H-free graphs of bounded diameter

Brause, C.; Golovach, P.; Martin, B.; Paulusma, D.; Smith, S.

Partitioning H-free graphs of bounded diameter Thumbnail


Authors

C. Brause

P. Golovach

Siani Smith siani.smith@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

A natural way of increasing our understanding of NP-complete graph problems is to restrict the input to a special graph class. Classes of H-free graphs, that is, graphs that do not contain some graph H as an induced subgraph, have proven to be an ideal testbed for such a complexity study. However, if the forbidden graph H contains a cycle or claw, then these problems often stay NP-complete. A recent complexity study (MFCS 2019) on the k-Colouring problem shows that we may still obtain tractable results if we also bound the diameter of the H-free input graph. We continue this line of research by initiating a complexity study on the impact of bounding the diameter for a variety of classical vertex partitioning problems restricted to H-free graphs. We prove that bounding the diameter does not help for Independent Set, but leads to new tractable cases for problems closely related to 3-Colouring. That is, we show that Near-Bipartiteness, Independent Feedback Vertex Set, Independent Odd Cycle Transversal, Acyclic 3-Colouring and Star 3-Colouring are all polynomial-time solvable for chair-free graphs of bounded diameter. To obtain these results we exploit a new structural property of 3-colourable chair-free graphs.

Citation

Brause, C., Golovach, P., Martin, B., Paulusma, D., & Smith, S. (2022). Partitioning H-free graphs of bounded diameter. Theoretical Computer Science, 930, 37-52. https://doi.org/10.1016/j.tcs.2022.07.009

Journal Article Type Article
Acceptance Date Jul 10, 2022
Online Publication Date Jul 16, 2022
Publication Date Sep 21, 2022
Deposit Date Oct 16, 2022
Publicly Available Date Jul 16, 2023
Journal Theoretical Computer Science
Print ISSN 0304-3975
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 930
Pages 37-52
DOI https://doi.org/10.1016/j.tcs.2022.07.009
Public URL https://durham-repository.worktribe.com/output/1188918

Files






You might also like



Downloadable Citations