Low Acceptance Agreement Tests via Bounded-Degree Symplectic HDXs
Yotam Dikstein, Irit Dinur, Alexander Lubotzky

TL;DR
This paper constructs new symplectic high dimensional expanders to solve derandomized agreement testing in low acceptance regimes, establishing a connection between complex expansion properties and agreement theorems.
Contribution
It introduces symplectic HDXs with no small connected covers and demonstrates their application to agreement testing, providing a polynomial-time construction.
Findings
Constructed symplectic HDXs with no small covers.
Achieved low acceptance agreement theorem with these complexes.
Provided a polynomial-time algorithm for construction.
Abstract
We solve the derandomized direct product testing question in the low acceptance regime, by constructing new high dimensional expanders that have no small connected covers. We show that our complexes have swap cocycle expansion, which allows us to deduce the agreement theorem by relying on previous work. Derandomized direct product testing, also known as agreement testing, is the following problem. Let X be a family of k-element subsets of [n] and let be an ensemble of local functions, each defined over a subset . Suppose that we run the following so-called agreement test: choose a random pair of sets that intersect on elements, and accept if agree on the elements in . We denote the success probability of this test by . Given that , is there a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFault Detection and Control Systems · Formal Methods in Verification · Advanced Control Systems Optimization
