• DocumentCode
    1355691
  • Title

    A Lower Bound on List Size for List Decoding

  • Author

    Guruswami, Venkatesan ; Vadhan, Salil

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
  • Volume
    56
  • Issue
    11
  • fYear
    2010
  • Firstpage
    5681
  • Lastpage
    5688
  • Abstract
    A q-ary error-correcting code C ⊆ {1,2,...,q}n is said to be list decodable to radius ρ with list size L if every Hamming ball of radius ρ contains at most L codewords of C. We prove that in order for a q -ary code to be list-decodable up to radius (1-1/q)(1- ε)n, we must have L = Ω(1/ ε2) . Specifically, we prove that there exists a constant cq > 0 and a function fq such that for small enough ε > 0, if C is list-decodable to radius (1-1/q)(1- ε)n with list size cq/ ε2, then C has at most fq( ε) codewords, independent of n . This result is asymptotically tight (treating q as a constant), since such codes with an exponential (in n ) number of codewords are known for list size L = O(1/ ε2). A result similar to ours is implicit in Blinovsky ( Problems of Information Transmission, 1986) for the binary (q=2) case. Our proof is simpler and works for all alphabet sizes, and provides more intuition for why the lower bound arises.
  • Keywords
    binary codes; error correction codes; binary case; list decoding; lower bound; q-ary error correcting code; Binary codes; Context; Correlation; Decoding; Entropy; Error correction codes; Probabilistic logic; Bounds on codes; list decoding; probabilistic method; random codes; randomness extractors;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2070170
  • Filename
    5605366