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t-Covering Arrays: Upper Bounds and Poisson Approximations

Published online by Cambridge University Press:  12 September 2008

Anant P. Godbole
Affiliation:
Department of Mathematical Sciences, Michigan Technological University, Houghton MI 49931, USA
Daphne E. Skipper
Affiliation:
Department of Mathematics, University of Kentucky, Lexington KY 40506, USA
Rachel A. Sunley
Affiliation:
Department of Mathematics, University of Michigan, Ann Arbor MI 48109, USA

Abstract

A k×n array with entries from the q-letter alphabet {0, 1, …, q − 1} is said to be t-covering if each k × t submatrix has (at least one set of) qt distinct rows. We use the Lovász local lemma to obtain a general upper bound on the minimal number K = K(n, t, q) of rows for which a t-covering array exists; for t = 3 and q = 2, we are able to match the best-known such bound. Let Kλ = Kλ(n, t, q), (λ ≥ 2), denote the minimum number of rows that guarantees the existence of an array for which each set of t columns contains, amongst its rows, each of the qt possible ‘words’ of length t at least λ times. The Lovász lemma yields an upper bound on Kλ that reveals how substantially fewer rows are needed to accomplish subsequent t-coverings (beyond the first). Finally, given a random k × n array, the Stein–Chen method is employed to obtain a Poisson approximation for the number of sets of t columns that are deficient, i.e. missing at least one word.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1996

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References

[1]Alon, N. and Spencer, J. (1992) The Probabilistic Method, John Wiley & Sons.Google Scholar
[2]Barbour, A. D., Godbole, A. P. and Qian, J. (1996) Imperfections in random tournaments. Combinatorics, Probability and Computing (to appear).Google Scholar
[3]Barbour, A. D., Holst, L. and Janson, S. (1992) Poisson Approximation, Oxford University Press.CrossRefGoogle Scholar
[4]Bierbrauer, J. (1994) Orthogonal arrays: theory and applications. Preprint.Google Scholar
[5]Bollobás, B. (1978) Extremal Graph Theory, Academic Press.Google Scholar
[6]Godbole, A. P., Skipper, D. E. and Sunley, R. A. (1994) The asymptotic lower bound on the diagonal Ramsey numbers: A closer look, in Discrete Probability and Algorithms, IMA Volumes in Mathematics and its Applications, 72, 8194, Aldous, D., Diaconis, P., Spencer, J. and Steele, J., eds., Springer- Verlag.Google Scholar
[7]Hedayat, A. S., Sloane, N. J. A. and Stufken, J. (1994) Orthogonal Arrays: Theory and Practice. To appear.Google Scholar
[8]Katona, G. O. H. (1973) Two applications (for search theory and truth functions) of Sperner type theorems. Periodica Mathematica Hungarica 3 1926.CrossRefGoogle Scholar
[9]Kleitman, D. J. and Spencer, J. (1973) Families of k-independent sets, Discrete Mathematics 6 255262.CrossRefGoogle Scholar
[10]Rényi, A. (1971) Foundations of Probability, John Wiley & Sons.Google Scholar
[11]Sloane, N. J. A. (1993) Covering arrays and intersecting codes, J. Combinatorial Designs 1 5163.CrossRefGoogle Scholar
[12]Steele, J. M. (1978) Existence of submatrices with all possible columns, J. Combinatorial Theory A 24 8488.CrossRefGoogle Scholar