• DocumentCode
    655200
  • Title

    Strong LTCs with Inverse Poly-Log Rate and Constant Soundness

  • Author

    Viderman, Michael

  • Author_Institution
    Comput. Sci. Dept., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2013
  • fDate
    26-29 Oct. 2013
  • Firstpage
    330
  • Lastpage
    339
  • Abstract
    An error-correcting code C is called (q, ϵ)-strong locally testable code (LTC) if there exists a tester that makes at most q queries to the input word. This tester accepts all code words with probability 1 and rejects all non-code words x with probability at least ϵ · δ(x, C), where δ(x, C) denotes the relative Hamming distance between the word x and the code C. The parameter q is called the query complexity and the parameter ϵ is called soundness. In this paper we resolve an open question raised by Gold Reich and Sudan (J. ACM 2006) and construct binary linear strong LTCs with query complexity 3, constant relative distance, constant soundness and inverse polylogarithmic rate. Our result is based on the previous paper of the author (Vide man, ECCC TR12-168), which presented binary linear strong LTCs with query complexity 3, constant relative distance, and inverse polylogarithmic soundness and rate. We show that the "gap amplification" procedure of Dinur (J. ACM 2007) can be used to amplify the soundness of these strong LTCs from inverse polylogarithmic up to a constant, while preserving the other parameters of these codes. Furthermore, we show that under a conceivable conjecture, there exist asymptotically good strong LTCs with poly-log query complexity.
  • Keywords
    Hamming codes; binary codes; computational complexity; error correction codes; linear codes; probability; query processing; theorem proving; Hamming distance; binary linear strong LTC; code words; constant relative distance; constant soundness; error-correcting code C; gap amplification; inverse poly-log rate; inverse polylogarithmic rate; inverse polylogarithmic soundness; locally testable code; poly-log query complexity; probability; Complexity theory; Computer science; Error correction codes; Hamming distance; Linear codes; Parity check codes; Probabilistic logic; PCPs; error-correcting codes; locally testable codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2013 IEEE 54th Annual Symposium on
  • Conference_Location
    Berkeley, CA
  • ISSN
    0272-5428
  • Type

    conf

  • DOI
    10.1109/FOCS.2013.43
  • Filename
    6686169