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Randomized query complexity of sabotaged and composed functions

Authors: Shalev Ben-David; Robin Kothari;

Randomized query complexity of sabotaged and composed functions

Abstract

We study the composition question for bounded-error randomized query complexity: Is R(f o g) = Omega(R(f) R(g)) for all Boolean functions f and g? We show that inserting a simple Boolean function h, whose query complexity is only Theta(log R(g)), in between f and g allows us to prove R(f o h o g) = Omega(R(f) R(h) R(g)). We prove this using a new lower bound measure for randomized query complexity we call randomized sabotage complexity, RS(f). Randomized sabotage complexity has several desirable properties, such as a perfect composition theorem, RS(f o g) >= RS(f) RS(g), and a composition theorem with randomized query complexity, R(f o g) = Omega(R(f) RS(g)). It is also a quadratically tight lower bound for total functions and can be quadratically superior to the partition bound, the best known general lower bound for randomized query complexity. Using this technique we also show implications for lifting theorems in communication complexity. We show that a general lifting theorem for zero-error randomized protocols implies a general lifting theorem for bounded-error protocols.

v1: 22 pages; v2: 23 pages, minor changes

Country
Germany
Keywords

FOS: Computer and information sciences, Quantum Physics, partition bound, randomized algorithms, Randomized algorithms, Randomized query complexity, decision tree complexity, FOS: Physical sciences, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), Computational Complexity (cs.CC), lifting theorem, 004, Computer Science - Computational Complexity, composition theorems, composition theorem, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), query complexity, Quantum Physics (quant-ph), ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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