Finding $d$-Cuts in Probe $H$-Free Graphs
Konrad K. Dabrowski, Tala Eagling-Vose, Matthew Johnson, Giacomo Paesani, Daniël Paulusma
TL;DR
This work studies the $d$-Cut problem on partitioned probe $H$-free graphs, integrating partial edge information via probes and certifiable edges so that $G+F$ is $H$-free. The authors leverage a red-blue $d$-colouring framework and colour-processing rules to reduce the search space to a polynomial number of branches, enabling polynomial-time algorithms for several cases. They establish complete dichotomies: for partitioned probe graphs, $1$-Cut, Perfect Matching Cut, and Maximum Matching Cut are polynomial when $H\subseteq_i sP_1+P_4$ for some $s\ge0$, while for $d\ge2$, $d$-Cut is polynomial when $H\subseteq_i P_1+P_4$; otherwise the problems are NP-complete. The paper also proves NP-hardness for several restricted classes (e.g., probe $2P_2$-free, probe $K_{1,3}$-free, and probe $4P_1$-free), delineating sharp tractability boundaries in the probe-graph model and outlining future directions for broader problem classes.
Abstract
For an integer $d\geq 1$, the $d$-Cut problem is that of deciding whether a graph has an edge cut in which each vertex is adjacent to at most $d$ vertices on the opposite side of the cut. The $1$-Cut problem is the well-known Matching Cut problem. The $d$-Cut problem has been extensively studied for $H$-free graphs. We extend these results to the probe graph model, where we do not know all the edges of the input graph. For a graph $H$, a partitioned probe $H$-free graph $(G,P,N)$ consists of a graph $G=(V,E)$, together with a set $P\subseteq V$ of probes and an independent set $N=V\setminus P$ of non-probes such that we can change $G$ into an $H$-free graph by adding zero or more edges between vertices in $N$. For every graph $H$ and every integer $d\geq 1$, we completely determine the complexity of $d$-Cut on partitioned probe $H$-free graphs.
