Erasures versus errors in local decoding and property testing

IF 0.9 3区 数学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Sofya Raskhodnikova, Noga Ron-Zewi, Nithin M. Varma
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引用次数: 6

Abstract

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. We first investigate 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, arbitrarily close to 1, with list sizes and query complexity better than in the Goldreich–Levin theorem. We further study approximate locally erasure list‐decodable codes and use them to construct a property that is erasure‐resiliently testable with query complexity independent of the input length, n , but requires nΩ(1) queries for tolerant testing. We also investigate the general relationship between local decoding in the presence of errors and in the presence of erasures.
擦除与本地解码和属性测试中的错误
我们开始研究擦除在局部解码中的作用,并利用我们的理解来证明擦除弹性和容忍性能测试之间的分离。我们首先研究了存在擦除的本地列表解码。我们证明了Goldreich和Levin关于Hadamard码的局部表可译码性的一个著名结果的类比。具体来说,我们证明了Hadamard代码在存在常量擦除分数的情况下是局部列表可解码的,任意接近1,列表大小和查询复杂性优于Goldreich-Levin定理。我们进一步研究了近似的局部擦除列表可解码码,并使用它们构建了一个擦除弹性可测试的属性,其查询复杂度与输入长度n无关,但需要nΩ(1)查询进行容错测试。我们还研究了在存在错误和存在擦除的情况下本地解码之间的一般关系。
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来源期刊
Random Structures & Algorithms
Random Structures & Algorithms 数学-计算机:软件工程
CiteScore
2.50
自引率
10.00%
发文量
56
审稿时长
>12 weeks
期刊介绍: It is the aim of this journal to meet two main objectives: to cover the latest research on discrete random structures, and to present applications of such research to problems in combinatorics and computer science. The goal is to provide a natural home for a significant body of current research, and a useful forum for ideas on future studies in randomness. Results concerning random graphs, hypergraphs, matroids, trees, mappings, permutations, matrices, sets and orders, as well as stochastic graph processes and networks are presented with particular emphasis on the use of probabilistic methods in combinatorics as developed by Paul Erdõs. The journal focuses on probabilistic algorithms, average case analysis of deterministic algorithms, and applications of probabilistic methods to cryptography, data structures, searching and sorting. The journal also devotes space to such areas of probability theory as percolation, random walks and combinatorial aspects of probability.
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