Hardness of Approximating Bounded-Degree Max 2-CSP and Independent Set on k-Claw-Free Graphs
Euiwoong Lee, Pasin Manurangsi

TL;DR
This paper establishes new hardness of approximation results for Max 2-CSP with bounded degree and for Maximum Independent Set on k-claw-free graphs, showing these problems are harder to approximate than previously known under certain conjectures.
Contribution
It proves stronger NP-hardness of approximation bounds for Max 2-CSP and Independent Set on k-claw-free graphs, assuming the Unique Games Conjecture, surpassing previous results.
Findings
NP-hard to approximate Max 2-CSP within (d/2 - o(d)) assuming UGC
NP-hard to approximate Max 2-CSP within (d/3 - o(d))
NP-hard to approximate Independent Set on k-claw-free graphs within (k/4 - o(k)) assuming UGC
Abstract
We consider the question of approximating Max 2-CSP where each variable appears in at most constraints (but with possibly arbitrarily large alphabet). There is a simple -approximation algorithm for the problem. We prove the following results for any sufficiently large : - Assuming the Unique Games Conjecture (UGC), it is NP-hard (under randomized reduction) to approximate this problem to within a factor of . - It is NP-hard (under randomized reduction) to approximate the problem to within a factor of . Thanks to a known connection [Dvorak et al., Algorithmica 2023], we establish the following hardness results for approximating Maximum Independent Set on -claw-free graphs: - Assuming the Unique Games Conjecture (UGC), it is NP-hard (under randomized reduction) to approximate this problem…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Machine Learning and Algorithms
