Agreement tests on graphs and hypergraphs
Irit Dinur, Yuval Filmus, Prahladh Harsha

TL;DR
This paper extends agreement tests from low-dimensional cases to higher dimensions, enabling the global assembly of local graph structures from overlapping parts, with new technical tools like the reverse union bound.
Contribution
It introduces a new agreement theorem for higher dimensions, generalizing direct product tests to graphs and hypergraphs, and develops the reverse union bound technique.
Findings
Proved agreement theorem for dimension 1 (direct product test)
Extended agreement theorem to higher dimensions
Introduced reverse union bound technique
Abstract
Agreement tests are a generalization of low degree tests that capture a local-to-global phenomenon, which forms the combinatorial backbone of most PCP constructions. In an agreement test, a function is given by an ensemble of local restrictions. The agreement test checks that the restrictions agree when they overlap, and the main question is whether average agreement of the local pieces implies that there exists a global function that agrees with most local restrictions. There are very few structures that support agreement tests, essentially either coming from algebraic low degree tests or from direct product tests (and recently also from high-dimensional expanders). In this work, we prove a new agreement theorem which extends direct product tests to higher dimensions, analogous to how low degree tests extend linearity testing. As a corollary of our main theorem, it follows that an…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Formal Methods in Verification
