On Block Sensitivity and Fractional Block Sensitivity

10/04/2018
by   Andris Ambainis, et al.
0

We investigate the relation between the block sensitivity bs(f) and fractional block sensitivity fbs(f) complexity measures of Boolean functions. While it is known that fbs(f) = O(bs(f)^2), the best known separation achieves fbs(f) = (1/3√(2) +o(1)) bs(f)^3/2. We improve the constant factor and show a family of functions that give fbs(f) = (1/√(6)-o(1)) bs(f)^3/2.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/21/2021

On Separation between the Degree of a Boolean Function and the Block Sensitivity

In this paper we study the separation between two complexity measures: t...
research
09/26/2017

All Classical Adversary Methods are Equivalent for Total Functions

We show that all known classical adversary lower bounds on randomized qu...
research
08/30/2018

Sensitivity, Affine Transforms and Quantum Communication Complexity

We study the Boolean function parameters sensitivity (s), block sensiti...
research
07/08/2023

On the Composition of Randomized Query Complexity and Approximate Degree

For any Boolean functions f and g, the question whether R(f∘ g) = Θ̃(R(f...
research
05/01/2020

Relationships between the number of inputs and other complexity measures of Boolean functions

We generalize and extend the ideas in a recent paper of Chiarelli, Hatam...
research
10/14/2020

Complexity Measures on the Symmetric Group and Beyond

We extend the definitions of complexity measures of functions to domains...
research
07/07/2021

A Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic

The Bernays-Schönfinkel first-order logic fragment over simple linear re...

Please sign up or login with your details

Forgot password? Click here to reset