Agreement testers and PCPs from coset complexes

Speaker

Carnegie Mellon

Host

Justin Chen, Lily Chung, John Kuszmaul
CSAIL, EECS

"Agreement testers” are objects used in the design of (some) probabilistically checkable proofs, which, in turn, play a fundamental role in modern complexity theory and cryptography. Recent breakthrough works [Bafna–Lifshitz–Minzer, Dikstein–Dinur–Lubotzky 2024] analyzed a certain sophisticated construction and showed that it has strong agreement testing properties. In our work, we establish the same result for the so-called "Kaufman–Oppenheim (KO) complex”, an alternative construction which is more elementary, explicit, and symmetric. Ultimately, our proof boils down to a bound on the 'complexity', in a precise sense, of the group of upper triangular matrices with 1's on the diagonal over a finite field.

In the talk, I will informally define the agreement testing problem and its relationship with "higher-dimensional analogues" of expander graphs, before presenting, from first principles, our bound and some ideas from its proof. 

Based on joint work with Ryan O'Donnell.