arXiv · 1404.0172
The correlation measures of finite sequences: limiting distributions and minimum values
Abstract
Three measures of pseudorandomness of finite binary sequences were introduced by Mauduit and Sárközy in 1997 and have been studied extensively since then: the normality measure, the well-distribution measure, and the correlation measure of order r. Our main result is that the correlation measure of order r for random binary sequences converges strongly, and so has a limiting distribution. This solves a problem due to Alon, Kohayakawa, Mauduit, Moreira, and Rödl. We also show that the best known lower bounds for the minimum values of the correlation measures are simple consequences of a celebrated result due to Welch, concerning the maximum nontrivial scalar products over a set of vectors.
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Kai-Uwe Schmidt. 2015-02-03. The correlation measures of finite sequences: limiting distributions and minimum values. https://arxiv.org/abs/1404.0172
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