Asymptotically Optimal Inapproximability of E$k$-SAT Reconfiguration
Shuichi Hirahara, Naoto Ohsaka

TL;DR
This paper establishes the asymptotic inapproximability bounds for Maxmin E$k$-SAT Reconfiguration, providing both a new approximation algorithm and hardness results, and highlighting its distinct complexity compared to related NP problems.
Contribution
It introduces the first asymptotic inapproximability results for a reconfiguration problem, along with a deterministic approximation algorithm.
Findings
Optimal approximation factor is 1 - Θ(1/k).
Deterministic (1 - 1/(k-1) - 1/k))-factor approximation algorithm for all k ≥ 3.
Proves PSPACE-hardness of approximation within 1 - 1/(10k).
Abstract
In the Maxmin E-SAT Reconfiguration problem, we are given a satisfiable -CNF formula where each clause contains exactly literals, along with a pair of its satisfying assignments. The objective is transform one satisfying assignment into the other by repeatedly flipping the value of a single variable, while maximizing the minimum fraction of satisfied clauses of throughout the transformation. In this paper, we demonstrate that the optimal approximation factor for Maxmin E-SAT Reconfiguration is . On the algorithmic side, we develop a deterministic -factor approximation algorithm for every . On the hardness side, we show that it is -hard to approximate this problem within a factor of for every sufficiently large . Note that an…
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Taxonomy
TopicsAdvanced Graph Theory Research · Constraint Satisfaction and Optimization · Complexity and Algorithms in Graphs
