A new point of NP-hardness for unique games

  • Authors:
  • Ryan O'Donnell;John Wright

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA;Carnegie Mellon University, Pittsburgh, USA

  • Venue:
  • STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
  • Year:
  • 2012

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Abstract

We show that distinguishing 1/2-satisfiable Unique-Games instances from (3/8 + ε)-satisfiable instances is NP-hard (for all ε 0). A consequence is that we match or improve the best known c vs. s NP-hardness result for Unique-Games for all values of c (except for c very close to 0). For these c, ours is the first hardness result showing that it helps to take the alphabet size larger than 2. Our NP-hardness reductions are quasilinear-size and thus show nearly full exponential time is required, assuming the ETH.