Lower bounds for adaptive locally decodable codes

  • Authors:
  • Amit Deshpande;Rahul Jain;T. Kavitha;Satyanarayana V. Lokam;Jaikumar Radhakrishnan

  • Affiliations:
  • Department of Mathematics, MIT, Cambridge, Massachusetts and Chennai Mathematical Institute, India and Tata Institute of Fundamental Research, Mumbai, India;Computer Science Division, UC Berkeley, California and Tata Institute of Fundamental Research, Mumbai, India;Max-Planck-Institute für Informatik, Saarbruecken, Germany and Tata Institute of Fundamental Research, Mumbai, India;Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan and Tata Institute of Fundamental Research, Mumbai, India;Tata Institute of Fundamental Research, Mumbai, India and Toyota Technological Institute at Chicago, Chicago, IL

  • Venue:
  • Random Structures & Algorithms
  • Year:
  • 2005

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Abstract

An error-correcting code is said to be locally decodable if a randomized algorithm can recover any single bit of a message by reading only a small number of symbols of a possibly corrupted encoding of the message. Katz and Trevisan [On the efficiency of local decoding procedures for error correcting codes, STOC, 2000, pp. 80-86] showed that any such code C : {0, 1}n → Σm with a decoding algorithm that makes at most q probes must satisfy m = Ω((n/log |Σ|)q/(q-1)). They assumed that the decoding algorithm is non-adaptive, and left open the question of proving similar bounds for adaptive decoders. We show m = Ω((n/log |Σ|)q/(q-1)) without assuming that the decoder is nonadaptive.