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Witness of unsatisfiability for a random 3-satisfiability formula

机译:随机三满足公式的不满足的见证

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摘要

The random 3-satisfiability (3-SAT) problem is in the unsatisfiable (UNSAT) phase when the clause density α exceeds a critical value αs≈4.267. Rigorously proving the unsatisfiability of a given large 3-SAT instance is, however, extremely difficult. In this paper we apply the mean-field theory of statistical physics to the unsatisfiability problem, and show that a reduction to 3-XORSAT, which permits the construction of a specific type of UNSAT witnesses (Feige-Kim-Ofek witnesses), is possible when the clause density α>19. We then construct Feige-Kim-Ofek witnesses for single 3-SAT instances through a simple random sampling algorithm and a focused local search algorithm. The random sampling algorithm works only when α scales at least linearly with the variable number N, but the focused local search algorithm works for clause density α>cNb with b≈0.59 and prefactor c≈8. The exponent b can be further decreased by enlarging the single parameter S of the focused local search algorithm.
机译:当子句密度α超过临界值αs≈4.267时,随机3满足(3-SAT)问题处于不满足(UNSAT)阶段。但是,严格证明给定的大型3-SAT实例不满足要求是极其困难的。在本文中,我们将统计物理学的平均场理论应用于不满足性问题,并表明可以简化为3-XORSAT,从而可以构造特定类型的UNSAT证人(Feige-Kim-Ofek证人)。当子句密度α> 19时。然后,我们通过简单的随机采样算法和集中的局部搜索算法为单个3-SAT实例构造Feige-Kim-Ofek证人。随机采样算法仅在α与变量数N至少成线性比例关系时才有效,但是集中局部搜索算法对b≈0.59且子因子c≈8的从句密度α> cNb有效。通过扩大聚焦局部搜索算法的单个参数S,可以进一步减小指数b。

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