Preprocessing of Min Ones Problems: A Dichotomy

TL;DR

This paper classifies Min Ones Constraint Satisfaction problems based on their kernelization potential, introducing mergeability and sunflower kernelization, and establishes conditions for polynomial kernel existence.

Contribution

It provides a complete dichotomy for kernelization of Min Ones SAT problems using the new concept of mergeability and sunflower kernels.

Findings

Mergeability determines kernelization feasibility.

A polynomial kernel exists if all relations are mergeable.

Non-mergeable relations imply no polynomial kernel unless unlikely complexity collapses.

Abstract

A parameterized problem consists of a classical problem and an additional component, the so-called parameter. This point of view allows a formal definition of preprocessing: Given a parameterized instance (I,k), a polynomial kernelization computes an equivalent instance (I',k') of size and parameter bounded by a polynomial in k. We give a complete classification of Min Ones Constraint Satisfaction problems, i.e., Min Ones SAT(\Gamma), with respect to admitting or not admitting a polynomial kernelization (unless NP \subseteq coNP/poly). For this we introduce the notion of mergeability. If all relations of the constraint language \Gamma are mergeable, then a new variant of sunflower kernelization applies, based on non-zero-closed cores. We obtain a kernel with O(k^{d+1}) variables and polynomial total size, where d is the maximum arity of a constraint in \Gamma, comparing nicely with the bound of O(k^{d-1}) vertices for the less general and arguably simpler d-Hitting Set problem. Otherwise, any relation in \Gamma that is not mergeable permits us to construct a log-cost selection formula, i.e., an n-ary selection formula with O(log n) true local variables. From this we can construct our lower bound using recent results by Bodlaender et al. as well as Fortnow and Santhanam, proving that there is no polynomial kernelization, unless NP \subseteq coNP/poly and the polynomial hierarchy collapses to the third level.