English

A Combination of Testability and Decodability by Tensor Products

Computational Complexity 2011-05-31 v1

Abstract

Ben-Sasson and Sudan (RSA 2006) showed that repeated tensor products of linear codes with a very large distance are locally testable. Due to the requirement of a very large distance the associated tensor products could be applied only over sufficiently large fields. Then Meir (SICOMP 2009) used this result (as a black box) to present a combinatorial construction of locally testable codes that match best known parameters. As a consequence, this construction was obtained over sufficiently large fields. In this paper we improve the result of Ben-Sasson and Sudan and show that for \emph{any} linear codes the associated tensor products are locally testable. Consequently, the construction of Meir can be taken over any field, including the binary field. Moreover, a combination of our result with the result of Spielman (IEEE IT, 1996) implies a construction of linear codes (over any field) that combine the following properties: have constant rate and constant relative distance; have blocklength nn and testable with nϵn^{\epsilon} queries, for any constant ϵ>0\epsilon > 0; linear time encodable and linear-time decodable from a constant fraction of errors. Furthermore, a combination of our result with the result of Guruswami et al. (STOC 2009) implies a similar corollary regarding the list-decodable codes.

Keywords

Cite

@article{arxiv.1105.5806,
  title  = {A Combination of Testability and Decodability by Tensor Products},
  author = {Michael Viderman},
  journal= {arXiv preprint arXiv:1105.5806},
  year   = {2011}
}
R2 v1 2026-06-21T18:14:14.126Z