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A Composition Theorem via Conflict Complexity (1801.03285v1)
Published 10 Jan 2018 in cs.CC
Abstract: Let $\R(\cdot)$ stand for the bounded-error randomized query complexity. We show that for any relation $f \subseteq {0,1}n \times \mathcal{S}$ and partial Boolean function $g \subseteq {0,1}n \times {0,1}$, $\R_{1/3}(f \circ gn) = \Omega(\R_{4/9}(f) \cdot \sqrt{\R_{1/3}(g)})$. Independently of us, Gavinsky, Lee and Santha \cite{newcomp} proved this result. By an example demonstrated in their work, this bound is optimal. We prove our result by introducing a novel complexity measure called the \emph{conflict complexity} of a partial Boolean function $g$, denoted by $\chi(g)$, which may be of independent interest. We show that $\chi(g) = \Omega(\sqrt{\R(g)})$ and $\R(f \circ gn) = \Omega(\R(f) \cdot \chi(g))$.