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Complexity of Dependences in Bounded Domains, Armstrong Codes, and Generalizations
Journal article   Peer reviewed

Complexity of Dependences in Bounded Domains, Armstrong Codes, and Generalizations

Yeow Meng Chee, Hui Zhang and Xiande Zhang
IEEE transactions on information theory, Vol.61(2), pp.812-819
01/02/2015

Abstract

Computer Science Computer Science, Information Systems Engineering Engineering, Electrical & Electronic Science & Technology Technology
The study of Armstrong codes is motivated by the problem of understanding complexities of dependences in relational database systems, where attributes have bounded domains. A (q, k, n)-Armstrong code is a q-ary code of length n with minimum Hamming distance n - k + 1, and for any set of k - 1 coordinates, there exist two codewords that agree exactly there. Let f (q, k) be the maximum n for which such a code exists. In this paper, f (q, 3) = 3q - 1 is determined for all q >= 5 with three possible exceptions. This disproves a conjecture of Sali. Furthermore, we introduce generalized Armstrong codes for branching, or (s, t)-dependences, construct several classes of optimal Armstrong codes, and establish lower bounds for the maximum length n in this more general setting.

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