The Connectivity of Boolean Satisfiability: Computational and Structural Dichotomies
Parikshit Gopalan, Phokion G. Kolaitis, Elitza Maneva, Christos H., Papadimitriou

TL;DR
This paper explores the structural and computational properties of solution spaces in Boolean satisfiability problems, establishing clear dichotomies that distinguish between tractable and intractable cases based on graph connectivity and structure.
Contribution
It introduces new dichotomy theorems for the complexity of connectivity questions and characterizes the structural properties of solution subgraphs in Boolean satisfiability.
Findings
Intractable cases are PSPACE-complete with exponential diameter solutions.
Tractable cases have polynomial-time algorithms for connectivity and linear diameter.
Structural properties of solution subgraphs differ significantly between tractable and intractable cases.
Abstract
Boolean satisfiability problems are an important benchmark for questions about complexity, algorithms, heuristics and threshold phenomena. Recent work on heuristics, and the satisfiability threshold has centered around the structure and connectivity of the solution space. Motivated by this work, we study structural and connectivity-related properties of the space of solutions of Boolean satisfiability problems and establish various dichotomies in Schaefer's framework. On the structural side, we obtain dichotomies for the kinds of subgraphs of the hypercube that can be induced by the solutions of Boolean formulas, as well as for the diameter of the connected components of the solution space. On the computational side, we establish dichotomy theorems for the complexity of the connectivity and st-connectivity questions for the graph of solutions of Boolean formulas. Our results assert…
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Taxonomy
TopicsAdvanced Graph Theory Research · Constraint Satisfaction and Optimization · Complexity and Algorithms in Graphs
