Induced Disjoint Paths and Connected Subgraphs for H-Free Graphs

Publication date

2022

Authors

Martin, Barnaby
Paulusma, Daniël
Smith, Siani
Van Leeuwen, Erik JanISNI 0000000115525019

Editors

Bekos, Michael A.
Kaufmann, Michael

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

Paths $$P^1,\ldots,P^k$$ in a graph $$G=(V,E)$$ are mutually induced if any two distinct $$P^i$$ and $$P^j$$ have neither common vertices nor adjacent vertices. The Induced Disjoint Paths problem is to decide if a graph G with k pairs of specified vertices $$(s:i,t_i)$$ contains k mutually induced paths $$P^i$$ such that each $$P^i$$ starts from $$s:i$$ and ends at $$t:i$$. This is a classical graph problem that is NP-complete even for $$k=2$$. We introduce a natural generalization, Induced Disjoint Connected Subgraphs: instead of connecting pairs of terminals, we must connect sets of terminals. We give almost-complete dichotomies of the computational complexity of both problems for H-free graphs, that is, graphs that do not contain some fixed graph H as an induced subgraph. Finally, we give a complete classification of the complexity of the second problem if the number k of terminal sets is fixed, that is, not part of the input.

Keywords

H-free graph, complexity dichotomy, connectivity, induced subgraphs, Taverne, Theoretical Computer Science, General Computer Science

Citation

Martin, B, Paulusma, D, Smith, S & van Leeuwen, E J 2022, Induced Disjoint Paths and Connected Subgraphs for H-Free Graphs. in M A Bekos & M Kaufmann (eds), Graph-Theoretic Concepts in Computer Science - 48th International Workshop, WG 2022, Tubingen, Germany, June 22-24, 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13453 LNCS, Springer, pp. 398-411. https://doi.org/10.1007/978-3-031-15914-5_29