paper

Lower Bounds for Subset Sum in Resolution with Modular Counting

arXiv:2202.08214

Abstract

In this paper we prove lower bounds for sizes of refutations of unsatisfiable vector Subset Sum instances in the proof system Res(lin) where . As a basis for the hardness criterion for such instances we choose the property of the matrix with columns to be (the transpose of) the generating matrix for a good error-correcting code and prove the following lower bounds: 1) For a dag-like fragment of Res(lin). We introduce the notion of -robustness for Subset Sum instances, which in particular implies that defines an error-correcting code with the minimal distance . For -robust instances we prove lower bound for sizes of refutations in a dag-like fragment of Res(lin). We show that random instances are -robust and that specific examples achieving these bounds can be constructed using algebraic geometry codes. 2) For tree-like Res(lin) refutations we show the size lower bound for any Subset Sum instance where is the minimal distance of .