On monotonicity testing and the 2-to-2 games conjecture

This book discusses two questions in Complexity Theory: the Monotonicity Testing problem and the 2-to-2 Games Conjecture. Monotonicity testing is a problem from the field of property testing, first considered by Goldreich et al. in 2000. The input of the algorithm is a function, and the goal is to...

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Bibliographic Details
Main Author Minzer, Dor (Author, Editor)
Format eBook
LanguageEnglish
Published [New York] : Association for Computing Machinery; [2022].
EditionFirst Edition.
SeriesACM books ; #49.
Subjects
Online AccessPlný text

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035 |a (OCoLC)1359063176 
100 1 |a Minzer, Dor,  |e author. 
245 1 0 |a On monotonicity testing and the 2-to-2 games conjecture /  |c Dor Minzer. 
250 |a First Edition. 
264 1 |a [New York] :  |b Association for Computing Machinery;  |c [2022]. 
300 |a 1 online zdroj (xiv, 218 stran). 
490 1 |a ACM books,  |x 2374-6777 ;  |v #49 
505 8 |a Index 
505 8 |a Bibliography 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a This book discusses two questions in Complexity Theory: the Monotonicity Testing problem and the 2-to-2 Games Conjecture. Monotonicity testing is a problem from the field of property testing, first considered by Goldreich et al. in 2000. The input of the algorithm is a function, and the goal is to design a tester that makes as few queries to the function as possible, accepts monotone functions and rejects far-from monotone functions with a probability close to 1. The first result of this book is an essentially optimal algorithm for this problem. The analysis of the algorithm heavily relies on a novel, directed, and robust analogue of a Boolean isoperimetric inequality of Talagrand from 1993. The probabilistically checkable proofs (PCP) theorem is one of the cornerstones of modern theoretical computer science. One area in which PCPs are essential is the area of hardness of approximation. Therein, the goal is to prove that some optimization problems are hard to solve, even approximately. Many hardness of approximation results were proved using the PCP theorem; however, for some problems optimal results were not obtained. This book touches on some of these problems, and in particular the 2-to-2 games problem and the vertex cover problem. The second result of this book is a proof of the 2-to-2 games conjecture (with imperfect completeness), which implies new hardness of approximation results for problems such as vertex cover and independent set. It also serves as strong evidence towards the unique games conjecture, a notorious related open problem in theoretical computer science. At the core of the proof is a characterization of small sets of vertices in Grassmann graphs whose edge expansion is bounded away from 1. 
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700 1 |a Minzer, Dor,  |e editor. 
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830 0 |a ACM books ;  |v #49. 
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