Simple Combinatorial Construction of the $k^{o(1)}$-Lower Bound for Approximating the Parameterized $k$-Clique
Abstract
In the parameterized -clique problem, or -Clique for short, we are given a graph and a parameter . The goal is to decide whether there exist vertices in that induce a complete subgraph (i.e., a -clique). This problem plays a central role in the theory of parameterized intractability as one of the first W[1]-complete problems. Existing research has shown that even an FPT-approximation algorithm for -Clique with arbitrary ratio does not exist, assuming the Gap-Exponential-Time Hypothesis (Gap-ETH) [Chalermsook et al., FOCS'17 and SICOMP]. However, whether this inapproximability result can be based on the standard assumption of remains unclear. The recent breakthrough of Bingkai Lin [STOC'21] and subsequent works by Karthik C.S. and Khot [CCC'22], and by Lin, Ren, Sun Wang [ICALP'22] give a technique that bypasses Gap-ETH, thus leading to the inapproximability ratio of and under -hardness (the first two) and ETH (for the latter one). All the work along this line follows the framework developed by Lin, which starts from the -vector-sum problem and requires some involved algebraic techniques. This paper presents an alternative framework for proving the W[1]-hardness of the -FPT-inapproximability of -Clique. Using this framework, we obtain a gap-producing self-reduction of -Clique without any intermediate algebraic problem. More precisely, we reduce from -Gap Clique to -Gap Clique, for any function depending only on the parameter , thus implying the -inapproximability result when is sufficiently large. Our proof is relatively simple and mostly combinatorial. At the core of our construction is a novel encoding of -element subset stemming from the theory of "network coding" and a "Sidon set" representation of a graph.
Keywords
Cite
@article{arxiv.2304.07516,
title = {Simple Combinatorial Construction of the $k^{o(1)}$-Lower Bound for Approximating the Parameterized $k$-Clique},
author = {Yijia Chen and Yi Feng and Bundit Laekhanukit and Yanlin Liu},
journal= {arXiv preprint arXiv:2304.07516},
year = {2024}
}
Comments
22 pages, 1 figure