English

Improved Parallel Repetition for GHZ-Supported Games via Spreadness

Computational Complexity 2026-02-11 v1

Abstract

We prove that for any 3-player game G\mathcal G, whose query distribution has the same support as the GHZ game (i.e., all x,y,z{0,1}x,y,z\in \{0,1\} satisfying x+y+z=0(mod2)x+y+z=0\pmod{2}), the value of the nn-fold parallel repetition of G\mathcal G decays exponentially fast: val(Gn)exp(nc) \text{val}(\mathcal G^{\otimes n}) \leq \exp(-n^c) for all sufficiently large nn, where c>0c>0 is an absolute constant. We also prove a concentration bound for the parallel repetition of the GHZ game: For any constant ϵ>0\epsilon>0, the probability that the players win at least a (34+ϵ)\left(\frac{3}{4}+\epsilon\right) fraction of the nn coordinates is at most exp(nc)\exp(-n^c), where c=c(ϵ)>0c=c(\epsilon)>0 is a constant. In both settings, our work exponentially improves upon the previous best known bounds which were only polynomially small, i.e., of the order nΩ(1)n^{-\Omega(1)}. Our key technical tool is the notion of \emph{algebraic spreadness} adapted from the breakthrough work of Kelley and Meka (FOCS '23) on sets free of 3-term progressions.

Keywords

Cite

@article{arxiv.2602.09290,
  title  = {Improved Parallel Repetition for GHZ-Supported Games via Spreadness},
  author = {Yang P. Liu and Shachar Lovett and Kunal Mittal},
  journal= {arXiv preprint arXiv:2602.09290},
  year   = {2026}
}
R2 v1 2026-07-01T10:28:58.181Z