Some structural properties of low-rank matrices related to computational complexity
Theoretical Computer Science - Selected papers in honor of Manuel Blum
Finite and infinite pseudorandom binary words
Theoretical Computer Science
Perturbed identity matrices have high rank: Proof and applications
Combinatorics, Probability and Computing
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Mauduit and Sárközy introduced and studied certain numerical parameters associated to finite binary sequences $E_N\in\{-1,1\}^N$ in order to measure their ‘level of randomness’. Two of these parameters are the normality measure $\cal{N}(E_N)$ and the correlation measure $C_k(E_N)$ of order k, which focus on different combinatorial aspects of $E_N$. In their work, amongst others, Mauduit and Sárközy investigated the minimal possible value of these parameters.In this paper, we continue the work in this direction and prove a lower bound for the correlation measure $C_k(E_N)$ (k even) for arbitrary sequences $E_N$, establishing one of their conjectures. We also give an algebraic construction for a sequence $E_N$ with small normality measure $\cal{N}(E_N)$.