English

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/Q\mathbb{Q}). We show that there is a set of polynomial constraints QnQ_n over Boolean variables that has both SOS and PCR/Q\mathbb{Q} refutations of degree 2 and thus with only polynomially many monomials, but for which any SOS or PCR/Q\mathbb{Q} 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)