COCCDSApr 27

On Detecting $H$-Induced Minors for Small $H$

arXiv:2604.2421670.2
AI Analysis

For graph theorists and algorithm designers, it settles open problems about the complexity of induced minor detection for small graphs.

The paper resolves the complexity of the H-Induced Minor problem for several small graphs H, including a long-standing open case for a 7-vertex tree, showing it is polynomial-time solvable. It also completes the classification for all graphs H on five vertices.

We consider the $H$-Induced Minor problem: for a fixed graph~$H$, decide whether a given graph $G$ contains $H$ as an induced minor. While the problem is known to be NP-complete for some trees~$H$ on more than $2^{300}$ vertices, the complexity for small trees remains unresolved. In particular, the case where $H$ is the $7$-vertex tree consisting of a path on five vertices with a pendant vertex attached to the second and fourth vertex was a long-standing open problem. We show that this case is polynomial-time solvable by developing algorithms that detect a sequence of carefully chosen substructures. Complementing this, we prove that detecting some of these substructures individually is NP-hard. We also give polynomial-time algorithms for three cases where $H$ is a graph on five vertices (that is not a tree). In this way, we completed the classification of $H$-Induced Minor for graphs $H$ on five vertices and answered an open problem of Dallard, Dumas, Hilaire and Perez (2025).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes