🤖 AI Summary
This study addresses the classification of non-redundant decidability (NRD) for 4-ary Boolean predicates, which concerns determining the maximum instance size satisfying all but one constraint. By integrating techniques from algorithmic classification, extremal combinatorics, logic, and lattice theory, the authors achieve a complete classification for 397 out of 400 non-trivial 4-ary predicates. The remaining two cases are resolved using advanced extremal combinatorial methods, leaving only a single open problem. Notably, this work uncovers, for the first time, Boolean predicates exhibiting non-polynomial asymptotic behavior in their non-redundant instances, thereby substantially expanding the theoretical boundaries of non-redundancy within the framework of constraint satisfaction problems (CSPs).
📝 Abstract
Given a constraint satisfaction problem (CSP) predicate $P \subseteq D^r$, the non-redundancy (NRD) of $P$ is maximum-sized instance on $n$ variables such that for every clause of the instance, there is an assignment which satisfies all but that clause. The study of NRD for various CSPs is an active area of research which combines ideas from extremal combinatorics, logic, lattice theory, and other techniques. Complete classifications are known in the cases $r=2$ and $(|D|=2, r=3)$.
In this paper, we give a near-complete classification of the case $(|D|=2, r=4)$. Of the 400 distinct non-trivial Boolean predicates of arity 4, we implement an algorithmic procedure which perfectly classifies 397 of them. Of the remaining three, we solve two by reducing to extremal combinatorics problems -- leaving the last one as an open question. Along the way, we identify the first Boolean predicate whose non-redundancy asymptotics are non-polynomial.