Noah Singer (Carnegie Mellon)- Agreement testers and PCPs from coset complexes
Abstract: “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.
Speakers
Noah Singer
Noah Singer is a fourth-year Ph.D. student in the Computer Science Department at Carnegie Mellon, advised by Ryan O’Donnell. His research interests include high-dimensional expansion and sublinear algorithms.