Abstract

Consider a K-uniform hypergraph H = (V, E). A coloring c: V → {1, 2, . . ., k} with k colors is rainbow if every hyperedge e contains at least one vertex from each color, and is called perfectly balanced when each color appears the same number of times. A simple polynomial-time algorithm finds a 2-coloring if H admits a perfectly balanced rainbow k-coloring. For a hypergraph that admits an almost balanced rainbow coloring, we prove that it is NP-hard to find an independent set of size e, for any e > 0. Consequently we cannot weakly color (avoiding monochromatic hyperedges) it with O(1) colors. With k = 2, it implies strong hardness for discrepancy minimization of systems of bounded set-size.Our techniques extend recent developments in inapproximability based on reverse hypercontractivity and invariance principles for correlated spaces. We give a recipe for converting a promising test distribution and a suitable choice of a outer PCP to hardness of finding an independent set in the presence of highly-structured colorings. We use this recipe to prove additional results almost in a black-box manner, including: (1) the first analytic proof of (K − 1 − e)-hardness of K-Hypergraph Vertex Cover with more structure in completeness, and (2) hardness of (2Q + 1)-SAT when the input clause is promised to have an assignment where every clause has at least Q true literals.

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