Multiplayer Parallel Repetition Is the Same as High-Dimensional Extremal Combinatorics
Kunal Mittal
TL;DR
This paper uncovers deep connections between parallel repetition in multiplayer games and high-dimensional extremal combinatorics by employing the forbidden-subgraph framework. It proves that, for a game G with val(G) < 1, the n-fold repetition value is controlled by extremal quantities E_Q(n), r_q(n), and r_grid(F,k,n), with val(G^n) ≤ E_Q(n) (uniform distributions) and tightness in the large-alphabet regime. It further links these bounds to central combinatorial problems: for combinatorial lines via density-Hales-Jewett bounds, for squares via the GHZ-related construction, and for grids via affine subspaces, thereby enabling a two-way transfer of techniques between interactive proofs/communication complexity and extremal/additive combinatorics. The work suggests that progress in one field can translate into meaningful advances in the other, enabling new avenues to attack longstanding questions in high-dimensional combinatorics using parallel-repetition tools and vice versa.
Abstract
We show equivalences between several high-dimensional problems in extremal combinatorics and parallel repetition of multiplayer (multiprover) games over large answer alphabets. This extends the forbidden-subgraph technique, previously studied by Verbitsky (Theoretical Computer Science 1996), Feige and Verbitsy (Combinatorica 2002), and Hązła , Holenstein and Rao (2016), to all $k$-player games, and establishes new connections to problems in combinatorics. We believe that these connections may help future progress in both fields.
