DRAT and Propagation Redundancy Proofs Without New Variables
Abstract
We study the complexity of a range of propositional proof systems which allow inference rules of the form: from a set of clauses derive the set of clauses where, due to some syntactic condition, is satisfiable if is, but where does not necessarily imply . These inference rules include BC, RAT, SPR and PR (respectively short for blocked clauses, resolution asymmetric tautologies, subset propagation redundancy and propagation redundancy), which arose from work in satisfiability (SAT) solving. We introduce a new, more general rule SR (substitution redundancy). If the new clause is allowed to include new variables then the systems based on these rules are all equivalent to extended resolution. We focus on restricted systems that do not allow new variables. The systems with deletion, where we can delete a clause from our set at any time, are denoted DBC, DRAT, DSPR, DPR and DSR. The systems without deletion are BC, RAT, SPR, PR and SR. With deletion, we show that DRAT, DSPR and DPR are equivalent. By earlier work of Kiesl, Rebola-Pardo and Heule, they are also equivalent to DBC. Without deletion, we show that SPR can simulate PR provided only short clauses are inferred by SPR inferences. We also show that many of the well-known "hard" principles have small SPR refutations. These include the pigeonhole principle, bit pigeonhole principle, parity principle, Tseitin tautologies and clique-coloring tautologies. SPR can also handle or-fication and xor-ification, and lifting with an index gadget. Our final result is an exponential size lower bound for RAT refutations, giving exponential separations between RAT and both DRAT and SPR.
Cite
@article{arxiv.1909.00520,
title = {DRAT and Propagation Redundancy Proofs Without New Variables},
author = {Sam Buss and Neil Thapen},
journal= {arXiv preprint arXiv:1909.00520},
year = {2023}
}