Approximating linear threshold predicates
Journal article, 2012

We study constraint satisfaction problems on the domain {-1, 1}, where the given constraints are homogeneous linear threshold predicates, that is, predicates of the form sgn(w 1 x 1 + · · · + w n x n ) for some positive integer weights w 1 , . . . , w n . Despite their simplicity, current techniques fall short of providing a classification of these predicates in terms of approximability. In fact, it is not easy to guess whether there exists a homogeneous linear threshold predicate that is approximation resistant or not. The focus of this article is to identify and study the approximation curve of a class of threshold predicates that allow for nontrivial approximation. Arguably the simplest such predicate is the majority predicate sgn(x 1 + · · · + x n ), for which we obtain an almost complete understanding of the asymptotic approximation curve, assuming the Unique Games Conjecture. Our techniques extend to a more general class of "majority-like" predicates and we obtain parallel results for them. In order to classify these predicates, we introduce the notion of Chow-robustness that might be of independent interest.

Approximation algorithms

Linear threshold predicates

Constraint satisfactory problems

Author

M. Cheraghchi

Carnegie Mellon University (CMU)

Johan Håstad

Royal Institute of Technology (KTH)

Marcus Isaksson

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Ola Svensson

Swiss Federal Institute of Technology in Lausanne (EPFL)

ACM Transactions on Computation Theory

1942-3454 (ISSN)

Vol. 4 1 2

Subject Categories

Computational Mathematics

Discrete Mathematics

Mathematical Analysis

DOI

10.1145/2141938.2141940

More information

Latest update

11/28/2022