Dense locally testable codes cannot have constant rate and distance

Irit Dinur, Tali Kaufman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

A q-query locally testable code (LTC) is an error correcting code that can be tested by a randomized algorithm that reads at most q symbols from the given word. An important question is whether there exist LTCs that have the c 3 property: constant rate, constant relative distance, and that can be tested with a constant number of queries. Such LTCs are sometimes referred to as "asymptotically good". We show that dense LTCs cannot be c 3. The density of a tester is roughly the average number of distinct local views in which a coordinate participates. An LTC is dense if it has a tester with density ω(1). More precisely, we show that a 3-query locally testable code with a tester of density ω(1) cannot be c3. Furthermore, we show that a q-locally testable code (q > 3) with a tester of density ω(1)nq-2 cannot be c3. Our results hold when the tester has the following two properties: (no weights:) Every q-tuple of queries occurs with the same probability. ('last-one-fixed':) In every q-query 'test' of the tester, the value to any q - 1 of the symbols determines the value of the last symbol. (Linear codes have constraints of this type). We also show that several natural ways to quantitatively improve our results would already resolve the general c3 question, i.e. also for non-dense LTCs.

Original languageEnglish
Title of host publicationApproximation, Randomization, and Combinatorial Optimization
Subtitle of host publicationAlgorithms and Techniques - 14th International Workshop, APPROX 2011 and 15th International Workshop, RANDOM 2011, Proceedings
Pages507-518
Number of pages12
DOIs
StatePublished - 2011
Event14th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2011 and the 15th International Workshop on Randomization and Computation, RANDOM 2011 - Princeton, NJ, United States
Duration: 17 Aug 201119 Aug 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6845 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2011 and the 15th International Workshop on Randomization and Computation, RANDOM 2011
Country/TerritoryUnited States
CityPrinceton, NJ
Period17/08/1119/08/11

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