An algorithmic weakening of the ErdΕ‘s-Hajnal conjecture

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Authors Γ‰douard Bonnet, StΓ©phan ThomassΓ©, Xuan Thang Tran, RΓ©mi Watrigant arXiv ID 2004.12166 Category cs.DS: Data Structures & Algorithms Cross-listed cs.CC, cs.DM Citations 5 Venue Embedded Systems and Applications Last Checked 4 months ago
Abstract
We study the approximability of the Maximum Independent Set (MIS) problem in $H$-free graphs (that is, graphs which do not admit $H$ as an induced subgraph). As one motivation we investigate the following conjecture: for every fixed graph $H$, there exists a constant $Ξ΄> 0$ such that MIS can be $n^{1 - Ξ΄}$-approximated in $H$-free graphs, where $n$ denotes the number of vertices of the input graph. We first prove that a constructive version of the celebrated ErdΕ‘s-Hajnal conjecture implies ours. We then prove that the set of graphs $H$ satisfying our conjecture is closed under the so-called graph substitution. This, together with the known polynomial-time algorithms for MIS in $H$-free graphs (e.g. $P_6$-free and fork-free graphs), implies that our conjecture holds for many graphs $H$ for which the ErdΕ‘s-Hajnal conjecture is still open. We then focus on improving the constant $Ξ΄$ for some graph classes: we prove that the classical Local Search algorithm provides an $OPT^{1-\frac{1}{t}}$-approximation in $K_{t,t}$-free graphs (hence a $\sqrt{OPT}$-approximation in $C_4$-free graphs), and, while there is a simple $\sqrt{n}$-approximation in triangle-free graphs, it cannot be improved to $n^{\frac{1}{4}-\varepsilon}$ for any $\varepsilon > 0$ unless $NP \subseteq BPP$. More generally, we show that there is a constant $c$ such that MIS in graphs of girth $Ξ³$ cannot be $n^{\frac{c}Ξ³}$-approximated. Up to a constant factor in the exponent, this matches the ratio of a known approximation algorithm by Monien and Speckenmeyer, and by Murphy. To the best of our knowledge, this is the first strong (i.e., $Ξ©(n^Ξ΄)$ for some $Ξ΄> 0$) inapproximability result for Maximum Independent Set in a proper hereditary class.
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