Abstract | ||
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We relate different approaches for proving the unsatisfiability of a system of real polynomial equations over Boolean variables. On the one hand, there are the static proof systems Sherali-Adams and sum-of-squares (a.k.a. Lasserre), which are based on linear and semi-definite programming relaxations. On the other hand, we consider polynomial calculus, which is a dynamic algebraic proof system that models Grebner basis computations. Our first result is that sum-of-squares simulates polynomial calculus: any polynomial calculus refutation of degree d can be transformed into a sum-of-squares refutation of degree 2d and only polynomial increase in size. In contrast, our second result shows that this is not the case for Sherali-Adams: there are systems of polynomial equations that have polynomial calculus refutations of degree 3 and polynomial size, but require Sherali-Adams refutations of degree Omega(root n/log n) and exponential size. A corollary of our first result is that the proof systems Positivstellensatz and Positivstellensatz Calculus, which have been separated over non-Boolean polynomials, simulate each other in the presence of Boolean axioms. |
Year | DOI | Venue |
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2018 | 10.4230/LIPIcs.STACS.2018.11 | Leibniz International Proceedings in Informatics |
Keywords | DocType | Volume |
Proof Complexity,Polynomial Calculus,Sum-of-Squares,Sherali-Adams | Conference | 96 |
ISSN | Citations | PageRank |
1868-8969 | 2 | 0.37 |
References | Authors | |
0 | 1 |
Name | Order | Citations | PageRank |
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Christoph Berkholz | 1 | 49 | 7.03 |