2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS) 2017
DOI: 10.1109/focs.2017.94
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High Dimensional Expanders Imply Agreement Expanders

Abstract: We describe a new parameterized family of symmetric error-correcting codes with low-density parity-check matrices (LDPC).Our codes can be described in two seemingly different ways. First, in relation to Reed-Muller codes: our codes are functions on a subset of F n whose restrictions to a prescribed set of affine lines has low degree. Alternatively, they are Tanner codes on high dimensional expanders, where the coordinates of the codeword correspond to triangles of a 2-dimensional expander, such that around eve… Show more

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Cited by 68 publications
(138 citation statements)
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“…Building on [DS14], the main theorem in [DK17] shows that the √ d-dimensional skeleton S = X( √ d), of a d-dimensional two-sided high-dimensional expander, supports a c-sound agreement test for some constant c > 0. This gave the first agreement test on a sparse system of sets, that is, such that every vertex is contained in a constant number of sets.…”
Section: Agreement On High Dimensional Expandersmentioning
confidence: 99%
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“…Building on [DS14], the main theorem in [DK17] shows that the √ d-dimensional skeleton S = X( √ d), of a d-dimensional two-sided high-dimensional expander, supports a c-sound agreement test for some constant c > 0. This gave the first agreement test on a sparse system of sets, that is, such that every vertex is contained in a constant number of sets.…”
Section: Agreement On High Dimensional Expandersmentioning
confidence: 99%
“…That such VASA distributions are available is proven through a new type of random walk which we call the complement random walk, and is discussed separately below. The only previous work that analyzed an agreement test on a sparse set system (where this "large diameter" problem appears) was in [DK17]. Their solution circumvented this problem by reducing to the dense case in a certain way.…”
Section: Overview Of the Proof Of Our Main Theorem (Theorem 226)mentioning
confidence: 99%
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“…Hence, our agreement testing theorem is more closely related to the question of direct product test [GS00, DR06, IKW12, DS14b, DN17, GK18], for which the collection 7 S contains all subsets of sizes ℓ of the universe U and the local functions can be arbitrarily. There are also combinatorial agreement theorems beyond direct product tests; for instance, [DK17,DD19] consider collections S that corresponds to layered-set systems, such as high-dimensional expanders, and [DFH19] proves a "higher-dimensional" version of the direct product test.…”
Section: Agreement Testing Theoremsmentioning
confidence: 99%