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A Composition Theorem for Randomized Query Complexity

Published 1 Jun 2017 in cs.CC | (1706.00335v2)

Abstract: Let the randomized query complexity of a relation for error probability ϵ\epsilon be denoted by Rϵ()R_\epsilon(\cdot). We prove that for any relation f0,1<sup>n</sup>×Rf \subseteq {0,1}<sup>n</sup> \times \mathcal{R} and Boolean function g:0,1<sup>m</sup>0,1g:{0,1}<sup>m</sup> \rightarrow {0,1}, R1/3(fg<sup>n)</sup>=Ω(R4/9(f)R1/21/n<sup>4(g))R_{1/3}(f\circ g<sup>n)</sup> = \Omega(R_{4/9}(f)\cdot R_{1/2-1/n<sup>4}(g)), where fg<sup>nf \circ g<sup>n is the relation obtained by composing ff and gg. We also show that R1/3(f(g<sup>O(log</sup>n))<sup>n)=Ω(log</sup>nR4/9(f)R1/3(g))R_{1/3}\left(f \circ \left(g<sup>\oplus_{O(\log</sup> n)}\right)<sup>n\right)=\Omega(\log</sup> n \cdot R_{4/9}(f) \cdot R_{1/3}(g)), where g<sup>O(log</sup>n)g<sup>\oplus_{O(\log</sup> n)} is the function obtained by composing the xor function on O(logn)O(\log n) bits and g<sup>tg<sup>t.

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