Resolution with Counting: Dag-Like Lower Bounds and Different Moduli
Fedor Part, Iddo Tzameret

TL;DR
This paper establishes the first super-polynomial lower bounds for general resolution refutations over linear equations in the large characteristic regime, demonstrating exponential size requirements for subset-sum principles.
Contribution
It introduces novel techniques to prove exponential lower bounds for dag-like resolution over linear equations, advancing understanding of proof complexity in this system.
Findings
Proves exponential lower bounds for subset-sum over Q.
Separates tree-like and dag-like refutations in this setting.
Develops new proof techniques for lower bounds in resolution with counting.
Abstract
Resolution over linear equations is a natural extension of the popular resolution refutation system, augmented with the ability to carry out basic counting. Denoted Res(lin_R), this refutation system operates with disjunctions of linear equations with boolean variables over a ring R, to refute unsatisfiable sets of such disjunctions. Beginning in the work of [RT08], through the work of [IS14] which focused on tree-like lower bounds, this refutation system was shown to be fairly strong. Subsequent work (cf.[Kra17, IS14, KO18, GK18]) made it evident that establishing lower bounds against general Res(lin_R) refutations is a challenging and interesting task since the system captures a 'minimal' extension of resolution with counting gates for which no super-polynomial lower bounds are known to date. We provide the first super-polynomial size lower bounds on general (dag-like) resolution…
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