English

Induced-Minor-Free Graphs: Separator Theorem, Subexponential Algorithms, and Improved Hardness of Recognition

Data Structures and Algorithms 2023-08-10 v1 Combinatorics

Abstract

A graph GG contains a graph HH as an induced minor if HH can be obtained from GG by vertex deletions and edge contractions. The class of HH-induced-minor-free graphs generalizes the class of HH-minor-free graphs, but unlike HH-minor-free graphs, it can contain dense graphs. We show that if an nn-vertex mm-edge graph GG does not contain a graph HH as an induced minor, then it has a balanced vertex separator of size OH(m)O_{H}(\sqrt{m}), where the OH()O_{H}(\cdot)-notation hides factors depending on HH. More precisely, our upper bound for the size of the balanced separator is O(min(V(H)2,logn)V(H)+E(H)m)O(\min(|V(H)|^2, \log n) \cdot \sqrt{|V(H)|+|E(H)|} \cdot \sqrt{m}). We give an algorithm for finding either an induced minor model of HH in GG or such a separator in randomized polynomial-time. We apply this to obtain subexponential 2OH(n2/3logn)2^{O_{H}(n^{2/3} \log n)} time algorithms on HH-induced-minor-free graphs for a large class of problems including maximum independent set, minimum feedback vertex set, 3-coloring, and planarization. For graphs HH where every edge is incident to a vertex of degree at most 2, our results imply a 2OH(n2/3logn)2^{O_{H}(n^{2/3} \log n)} time algorithm for testing if GG contains HH as an induced minor. Our second main result is that there exists a fixed tree TT, so that there is no 2o(n/log3n)2^{o(n/\log^3 n)} time algorithm for testing if a given nn-vertex graph contains TT as an induced minor unless the Exponential Time Hypothesis (ETH) fails. Our reduction also gives NP-hardness, which solves an open problem asked by Fellows, Kratochv\'il, Middendorf, and Pfeiffer [Algorithmica, 1995], who asked if there exists a fixed planar graph HH so that testing for HH as an induced minor is NP-hard.

Keywords

Cite

@article{arxiv.2308.04795,
  title  = {Induced-Minor-Free Graphs: Separator Theorem, Subexponential Algorithms, and Improved Hardness of Recognition},
  author = {Tuukka Korhonen and Daniel Lokshtanov},
  journal= {arXiv preprint arXiv:2308.04795},
  year   = {2023}
}

Comments

34 pages

R2 v1 2026-06-28T11:51:41.429Z