Title
Optimality of size-degree tradeoffs for polynomial calculus
Abstract
There are methods to turn short refutations in polynomial calculus (Pc) and polynomial calculus with resolution (Pcr) into refutations of low degree. Bonet and Galesi [1999, 2003] asked if such size-degree tradeoffs for Pc [Clegg et al. 1996; Impagliazzo et al. 1999] and Pcr [Alekhnovich et al. 2004] are optimal. We answer this question by showing a polynomial encoding of the graph ordering principle on m variables which requires Pc and Pcr refutations of degree Ω(&sqrt; m). Tradeoff optimality follows from our result and from the short refutations of the graph ordering principle in Bonet and Galesi [1999, 2001]. We then introduce the algebraic proof system Pcrk which combines together polynomial calculus and k-DNF resolution (Resk). We show a size hierarchy theorem for Pcrk: Pcrk is exponentially separated from Pcrk+1. This follows from the previous degree lower bound and from techniques developed for Resk. Finally we show that random formulas in conjunctive normal form (3-CNF) are hard to refute in Pcrk.
Year
DOI
Venue
2010
10.1145/1838552.1838556
ACM Trans. Comput. Log.
Keywords
Field
DocType
pcr refutation,tradeoff optimality,algebraic proofs,polynomial calculus,previous degree,polynomial encoding,short refutation,algebraic proof system pcrk,computational complexity,conjunctive normal form,low degree,size-degree tradeoffs,proof complexity,k-dnf resolution,lower bound
Discrete mathematics,Combinatorics,Algebraic number,Polynomial,Upper and lower bounds,Conjunctive normal form,Proof complexity,Mathematics,Encoding (memory),Computational complexity theory,Exponential growth
Journal
Volume
Issue
ISSN
12
1
1529-3785
Citations 
PageRank 
References 
12
0.49
21
Authors
2
Name
Order
Citations
PageRank
Nicola Galesi136728.05
Massimo Lauria212214.73