A tight lower bound on certificate complexity in terms of block sensitivity and sensitivity

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Abstract

Sensitivity, certificate complexity and block sensitivity are widely used Boolean function complexity measures. A longstanding open problem, proposed by Nisan and Szegedy [7], is whether sensitivity and block sensitivity are polynomially related. Motivated by the constructions of functions which achieve the largest known separations, we study the relation between 1-certificate complexity and 0-sensitivity and 0-block sensitivity. Previously the best known lower bound was C1(f) ≤ bs0(f)/2s0(f), achieved by Kenyon and Kutin [6]. We improve this to C1(f) ≥ 3bs0(f)/2s0(f). While this improvement is only by a constant factor, this is quite important, as it precludes achieving a superquadratic separation between bs(f) and s(f) by iterating functions which reach this bound. In addition, this bound is tight, as it matches the construction of Ambainis and Sun [3] up to an additive constant. © 2014 Springer-Verlag Berlin Heidelberg.

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Ambainis, A., & Prusis, K. (2014). A tight lower bound on certificate complexity in terms of block sensitivity and sensitivity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8635 LNCS, pp. 33–44). Springer Verlag. https://doi.org/10.1007/978-3-662-44465-8_4

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