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Pairs of SAT-assignments in random Boolean formulae

机译:随机布尔公式中的SAT分配对

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We investigate geometrical properties of the random K-satisfiability problem using the notion of x-satisfiability: a formula is x-satisfiable is there exist two SAT-assignments differing in N{sub}x variables. We show the existence of a sharp threshold for this property as a function of the clause density. For large enough K, we prove that there exists a region of clause density, below the satisfiability threshold, where the landscape of Hamming distances between SAT-assignments experiences a gap: pairs of SAT-assignments exist at small x, and around x = 1/2, but they do not exist at intermediate values of x. This result is consistent with the clustering scenario which is at the heart of the recent heuristic analysis of satisfiability using statistical physics analysis (the cavity method), and its algorithmic counterpart (the survey propagation algorithm). Our method uses elementary probabilistic arguments (first and second moment methods), and might be useful in other problems of computational and physical interest where similar phenomena appear.
机译:我们使用x可满足性的概念来研究随机K可满足性问题的几何性质:公式是x可满足的,即存在两个SAT赋值在N {sub} x变量中不同。我们显示了此属性作为子句密度函数的尖锐阈值的存在。对于足够大的K,我们证明存在一个子句密度区域,在可满足性阈值以下,其中SAT分配之间的汉明距离景观经历了一个间隙:成对的SAT分配在小x处且在x = 1附近/ 2,但在x的中间值处不存在。此结果与聚类情况一致,后者是最近使用统计物理分析(空腔方法)进行启发式分析的核心,以及与之对应的算法(调查传播算法)。我们的方法使用基本的概率论证(第一和第二矩方法),并且可能在出现相似现象的其他计算和物理兴趣问题中很有用。

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