A Polynomial Decision for 3-SAT
Angela Weiss
TL;DR
The work addresses the problem of deciding satisfiability for $3$-SAT by introducing Pivoted $3$-SAT and a polynomial-time, polynomial-space decision framework. It develops a graph-theoretic pipeline: transform a $3$-SAT instance into a pivoted form, construct a cylindrical digraph representation, and use expansions to closed digraphs while tracking compatible antichains. A key innovation is the Linearized Digraph, a polynomially manageable surrogate that preserves antichain structure, allowing a tractable search for all unsatisfiable combinations without exhaustive enumeration. The approach aims to enhance complexity-theoretic understanding and provide a new, resource-bounded avenue for SAT decision procedures through pivoted formulations and graph-based reasoning.
Abstract
We propose a polynomially bounded, in time and space, method to decide whether a given 3-SAT formula is satisfiable or not. The tools we use here are, in fact, very simple. We first decide satisfiability for a particular 3-SAT formula, called pivoted 3-SAT and, after a plain transformation, still keeping the polynomial boundaries, it is shown that 3-SAT formulas can be written as pivoted formulas.
