English

A Composition Theorem for Randomized Query Complexity

Computational Complexity 2017-06-15 v2

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 f{0,1}n×Rf \subseteq \{0,1\}^n \times \mathcal{R} and Boolean function g:{0,1}m{0,1}g:\{0,1\}^m \rightarrow \{0,1\}, R1/3(fgn)=Ω(R4/9(f)R1/21/n4(g))R_{1/3}(f\circ g^n) = \Omega(R_{4/9}(f)\cdot R_{1/2-1/n^4}(g)), where fgnf \circ g^n is the relation obtained by composing ff and gg. We also show that R1/3(f(gO(logn))n)=Ω(lognR4/9(f)R1/3(g))R_{1/3}\left(f \circ \left(g^\oplus_{O(\log n)}\right)^n\right)=\Omega(\log n \cdot R_{4/9}(f) \cdot R_{1/3}(g)), where gO(logn)g^\oplus_{O(\log n)} is the function obtained by composing the xor function on O(logn)O(\log n) bits and gtg^t.

Keywords

Cite

@article{arxiv.1706.00335,
  title  = {A Composition Theorem for Randomized Query Complexity},
  author = {Anurag Anshu and Dmitry Gavinsky and Rahul Jain and Srijita Kundu and Troy Lee and Priyanka Mukhopadhyay and Miklos Santha and Swagato Sanyal},
  journal= {arXiv preprint arXiv:1706.00335},
  year   = {2017}
}

Comments

11 pages; version 2, minor errors corrected