2 research outputs found

    Lower bounds for adaptive locally decodable codes

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    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}<SUB>n</SUB> → ∑<SUB>m</SUB> with a decoding algorithm that makes at most q probes must satisfy m=Ω((n/log |S|)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
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