Short Resolution Refutations for CNFs with Bounded Weighted Incidence Treewidth
Shaowei Cai, Ziqun Li
Abstract
It is an open problem in proof complexity whether every unsatisfiable CNF formula has an FPT-sized resolution refutation parameterized by incidence treewidth. In this paper, we establish several upper bounds on resolution refutation length related to this problem. Consider an unsatisfiable CNF formula F with n variables, m clauses, maximum clause width k, and incidence treewidth tw*(F). In this paper, we introduce two variants of incidence treewidth. Their definitions can be stated informally as follows. The first is log-weighted incidence treewidth tw*(F), which is the treewidth of the weighted incidence graph, in which variables have weight one and each clause has weight equal to the logarithm of its width. The second is partially log-weighted incidence treewidth tw*plog(F), which is a refinement of log-weighted incidence treewidth. In this variant, for a nice tree decomposition of the incidence graph, each clause has weight one along a path selected for that clause and elsewhere has weight equal to the logarithm of one plus the number of its literals whose variables do not appear in any bag on that path, and variables have weight one. For every unsatisfiable CNF formula F, we prove the existence of (i) an FPT-sized resolution refutation parameterized by log-weighted incidence treewidth, with width at most tw*(F)+k; (ii) a resolution refutation of length (n+m)kO(tw*(F)) and width at most tw*(F)+k; (iii) an FPT-sized resolution refutation parameterized by partially log-weighted incidence treewidth; and (iv) an FPT-sized regular resolution refutation parameterized by log-weighted incidence treewidth. Our main idea is to construct FPT-sized k-DNF resolution refutations parameterized by incidence treewidth, and then convert them into resolution refutations.
Create a lesson
Related papers
Lower Bound of 22 for 3x3 Matrix Multiplication over the Integers
Isaac Rudich, Louis-Martin Rousseau
A Degree--Size Relation for Resolution over Polynomials
Shuo Pang
Entrywise Logarithmic Matrix Algebra and Dichotomy of Planar Graph Homomorphisms (Part I)
Jin-Yi Cai, Zhuxiao Tang
Approximate Polynomial Satisfiability is in the Counting Hierarchy
Nikhil Balaji, Mahsa Shirmohammadi, Sébastien Tavenas et al.
A Noise Operator Approach to Quantum Query Complexity and Time-Space Tradeoff Lower Bounds
Paul Beame, Blake Holman, Niels Kornerup
Quantum Fine-Grained Lower Bounds for SetDisjointness via Sub-Linear Reductions from 3SUM
Jeremy Huang, Young Kun Ko, Chunhao Wang