From DNF compression to sunflower theorems via regularity

03/01/2019
by   Shachar Lovett, et al.
0

The sunflower conjecture is one of the most well-known open problems in combinatorics. It has several applications in theoretical computer science, one of which is DNF compression, due to Gopalan, Meka and Reingold [Computational Complexity 2013]. In this paper, we show that improved bounds for DNF compression imply improved bounds for the sunflower conjecture, which is the reverse direction of [Computational Complexity 2013]. The main approach is based on regularity of set systems and a structure-vs-pseudorandomness approach to the sunflower conjecture.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/04/2020

On proof theory in computer science

The subject logic in computer science should entail proof theoretic appl...
research
10/21/2020

Subword complexity of the Fibonacci-Thue-Morse sequence: the proof of Dekking's conjecture

Recently Dekking conjectured the form of the subword complexity function...
research
12/11/2019

On the Resolution of the Sensitivity Conjecture

The Sensitivity Conjecture is a long-standing problem in theoretical com...
research
08/24/2022

22 Examples of Solution Compression via Derandomization

We provide bounds on the compression size of the solutions to 22 problem...
research
02/07/2023

On the complexity of the approximate hypergraph homomorphism problem

Understanding the computational complexity of fragments of the Constrain...
research
09/21/2016

Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition

Introduced in the mid-1970's as an intermediate step in proving a long-s...
research
10/02/2018

Graph Compression Using The Regularity Method

We are living in a world which is getting more and more interconnected a...

Please sign up or login with your details

Forgot password? Click here to reset