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Measures of Pseudorandomness for Finite Sequences: Minimal Values

Published online by Cambridge University Press:  03 January 2006

N. ALON
Affiliation:
Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel (e-mail: noga@math.tau.ac.il)
Y. KOHAYAKAWA
Affiliation:
Instituto de Matemática e Estatística, Universidade de São Paulo, Rua do Matão 1010, 05508-090 São Paulo, Brazil (e-mail: yoshi@ime.usp.br)
C. MAUDUIT
Affiliation:
Institut de Mathématiques de Luminy, CNRS-UPR9016, 163 av. de Luminy, case 907, F-13288, Marseille Cedex 9, France (e-mail: mauduit@iml.univ-mrs.fr)
C. G. MOREIRA
Affiliation:
IMPA, Estrada Dona Castorina 110, 22460-320 Rio de Janeiro, RJ, Brazil (e-mail: gugu@impa.br)
V. RÖDL
Affiliation:
Department of Mathematics and Computer Science, Emory University, Atlanta, GA 30322, USA (e-mail: rodl@mathcs.emory.edu)
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Abstract

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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 $\cal{N}(E_N)$.

Information

Type
Paper
Copyright
2006 Cambridge University Press