🤖 AI Summary
This work addresses three-player nonlocal games whose support matches that of the GHZ game, for which only polynomial decay bounds were previously known for the value under parallel repetition. The paper establishes, for the first time, exponential decay of the success probability after $n$ parallel repetitions, providing an upper bound of $\exp(-n^c)$ for some constant $c > 0$, along with concentration bounds quantifying deviations from the baseline success probability of $3/4 + \varepsilon$. The core technique leverages the algebraic regularity theory developed by Kelley and Meka, integrated with probabilistic and combinatorial analysis to achieve a refined characterization of the parallel repetition structure. This result significantly improves upon existing polynomial bounds and delivers the first exponential decay guarantee for parallel repetition in multi-player nonlocal games.
📝 Abstract
We prove that for any 3-player game $\mathcal G$, whose query distribution has the same support as the GHZ game (i.e., all $x,y,z\in \{0,1\}$ satisfying $x+y+z=0\pmod{2}$), the value of the $n$-fold parallel repetition of $\mathcal G$ decays exponentially fast: \[ \text{val}(\mathcal G^{\otimes n}) \leq \exp(-n^c)\] for all sufficiently large $n$, where $c>0$ is an absolute constant. We also prove a concentration bound for the parallel repetition of the GHZ game: For any constant $\epsilon>0$, the probability that the players win at least a $\left(\frac{3}{4}+\epsilon\right)$ fraction of the $n$ coordinates is at most $\exp(-n^c)$, where $c=c(\epsilon)>0$ 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 $n^{-\Omega(1)}$. 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.