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arxiv: 1608.02354 · v2 · pith:AK2L3QPGnew · submitted 2016-08-08 · 🧮 math.NT · math.CO· math.PR

The cross-correlation measure of families of finite binary sequences: limiting distributions and minimal values

classification 🧮 math.NT math.COmath.PR
keywords measurecross-correlationbinaryfamiliessequencesearlierfinitegyarmati
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Gyarmati, Mauduit and S\'ark\"ozy introduced the cross-correlation measure $\Phi_k(G)$ of order $k$ to measure the level of pseudorandom properties of families of finite binary sequences. In an earlier paper we estimated the cross-correlation measure of a random family of binary sequences. In this paper, we sharpen these earlier results by showing that for random families, the cross-correlation measure converges strongly, and so has limiting distribution. We also give sharp bounds to the minimum values of the cross-correlation measure, which settles a problem of Gyarmati, Mauduit and S\'ark\"ozy nearly completely.

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