TY - GEN
T1 - Erasures vs. errors in local decoding and property testing
AU - Raskhodnikova, Sofya
AU - Ron-Zewi, Noga
AU - Varma, Nithin
N1 - Publisher Copyright:
© Sofya Raskhodnikova, Noga Ron-Zewi, and Nithin Varma.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - We initiate the study of the role of erasures in local decoding and use our understanding to prove a separation between erasure-resilient and tolerant property testing. Local decoding in the presence of errors has been extensively studied, but has not been considered explicitly in the presence of erasures. Motivated by applications in property testing, we begin our investigation with local list decoding in the presence of erasures. We prove an analog of a famous result of Goldreich and Levin on local list decodability of the Hadamard code. Specifically, we show that the Hadamard code is locally list decodable in the presence of a constant fraction of erasures, arbitrary close to 1, with list sizes and query complexity better than in the Goldreich-Levin theorem. We use this result to exhibit a property which is testable with a number of queries independent of the length of the input in the presence of erasures, but requires a number of queries that depends on the input length, n, for tolerant testing. We further study approximate locally list decodable codes that work against erasures and use them to strengthen our separation by constructing a property which is testable with a constant number of queries in the presence of erasures, but requires nΩ(1) queries for tolerant testing. Next, we study the general relationship between local decoding in the presence of errors and in the presence of erasures. We observe that every locally (uniquely or list) decodable code that works in the presence of errors also works in the presence of twice as many erasures (with the same parameters up to constant factors). We show that there is also an implication in the other direction for locally decodable codes (with unique decoding): specifically, that the existence of a locally decodable code that works in the presence of erasures implies the existence of a locally decodable code that works in the presence of errors and has related parameters. However, it remains open whether there is an implication in the other direction for locally list decodable codes1. We relate this question to other open questions in local decoding.
AB - We initiate the study of the role of erasures in local decoding and use our understanding to prove a separation between erasure-resilient and tolerant property testing. Local decoding in the presence of errors has been extensively studied, but has not been considered explicitly in the presence of erasures. Motivated by applications in property testing, we begin our investigation with local list decoding in the presence of erasures. We prove an analog of a famous result of Goldreich and Levin on local list decodability of the Hadamard code. Specifically, we show that the Hadamard code is locally list decodable in the presence of a constant fraction of erasures, arbitrary close to 1, with list sizes and query complexity better than in the Goldreich-Levin theorem. We use this result to exhibit a property which is testable with a number of queries independent of the length of the input in the presence of erasures, but requires a number of queries that depends on the input length, n, for tolerant testing. We further study approximate locally list decodable codes that work against erasures and use them to strengthen our separation by constructing a property which is testable with a constant number of queries in the presence of erasures, but requires nΩ(1) queries for tolerant testing. Next, we study the general relationship between local decoding in the presence of errors and in the presence of erasures. We observe that every locally (uniquely or list) decodable code that works in the presence of errors also works in the presence of twice as many erasures (with the same parameters up to constant factors). We show that there is also an implication in the other direction for locally decodable codes (with unique decoding): specifically, that the existence of a locally decodable code that works in the presence of erasures implies the existence of a locally decodable code that works in the presence of errors and has related parameters. However, it remains open whether there is an implication in the other direction for locally list decodable codes1. We relate this question to other open questions in local decoding.
KW - Error-correcting codes
KW - Hadamard code
KW - Local list decoding
KW - Probabilistically checkable proofs (PCPs) of proximity
KW - Tolerant testing
UR - http://www.scopus.com/inward/record.url?scp=85069450479&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.ITCS.2019.63
DO - 10.4230/LIPIcs.ITCS.2019.63
M3 - Conference contribution
AN - SCOPUS:85069450479
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 10th Innovations in Theoretical Computer Science, ITCS 2019
A2 - Blum, Avrim
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 10th Innovations in Theoretical Computer Science, ITCS 2019
Y2 - 10 January 2019 through 12 January 2019
ER -