English

Colouring Probe $H$-Free Graphs

Data Structures and Algorithms 2025-12-30 v2 Discrete Mathematics Combinatorics

Abstract

The NP-complete problems Colouring and k-Colouring (k3(k\geq 3) are well studied on HH-free graphs, i.e., graphs that do not contain some fixed graph HH as an induced subgraph. We research to what extent the known polynomial-time algorithms for HH-free graphs can be generalized if we only know some of the edges of the input graph. We do this by considering the classical probe graph model introduced in the early nineties. For a graph HH, a partitioned probe HH-free graph (G,P,N)(G,P,N) consists of a graph G=(V,E)G=(V,E), together with a set PVP\subseteq V of probes and an independent set N=VPN=V\setminus P of non-probes, such that G+FG+F is HH-free for some edge set F(N2)F\subseteq \binom{N}{2}. We first fully classify the complexity of Colouring on partitioned probe HH-free graphs and show that this dichotomy is different from the known dichotomy of Colouring for HH-free graphs. Our main result is a dichotomy of 33-Colouring for partitioned probe PtP_t-free graphs: we prove that the problem is polynomial-time solvable if t5t\leq 5 but NP-complete if t6t\geq 6. In contrast, 33-Colouring on PtP_t-free graphs is known to be polynomial-time solvable if t7t\leq 7 and quasi polynomial-time solvable for t8t\geq 8.

Keywords

Cite

@article{arxiv.2505.20784,
  title  = {Colouring Probe $H$-Free Graphs},
  author = {Daniël Paulusma and Johannes Rauch and Erik Jan van Leeuwen},
  journal= {arXiv preprint arXiv:2505.20784},
  year   = {2025}
}
R2 v1 2026-07-01T02:41:49.879Z