Monomial-size vs. Bit-complexity in Sums-of-Squares and Polynomial Calculus
Computational Complexity
2021-05-18 v1 Logic in Computer Science
Abstract
In this paper we consider the relationship between monomial-size and bit-complexity in Sums-of-Squares (SOS) in Polynomial Calculus Resolution over rationals (PCR/). We show that there is a set of polynomial constraints over Boolean variables that has both SOS and PCR/ refutations of degree 2 and thus with only polynomially many monomials, but for which any SOS or PCR/ refutation must have exponential bit-complexity, when the rational coefficients are represented with their reduced fractions written in binary.
Cite
@article{arxiv.2105.07525,
title = {Monomial-size vs. Bit-complexity in Sums-of-Squares and Polynomial Calculus},
author = {Tuomas Hakoniemi},
journal= {arXiv preprint arXiv:2105.07525},
year = {2021}
}
Comments
To appear in the Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2021)