The asymptotic k-SAT threshold

A. Coja-Oghlan
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引用次数: 102

Abstract

Since the early 2000s physicists have developed an ingenious but non-rigorous formalism called the cavity method to put forward precise conjectures as to the phase transitions in random constraint satisfaction problems ("CSPs"). The cavity method comes in two versions: the simpler replica symmetric variant, and the more intricate 1-step replica symmetry breaking ("1RSB") version. While typically the former only gives upper and lower bounds, the latter is conjectured to yield precise results in many cases. By now, there are a number of examples where the replica symmetric bounds have been verified rigorously. However, verifications of 1RSB predictions are scarce. Perhaps the most prominent challenge in this context is that of pinning down the random k-SAT threshold rk--SAT. Here we prove that rk--SAT = 2k ln 2--1/2 (1 + ln 2) + ok(1), which matches the 1RSB prediction up to the ok(1) error term. The proof directly employs ideas from the 1RSB cavity method, such as the notion of covers (relaxed satisfying assignments) and bits of the Survey Propagation calculations. The best previous lower bound was rk--SAT ≥ 2k ln 2--3/2 ln 2 + ok(1), matching the replica symmetric lower bound asymptotically [Coja-Oghlan, Panagiotou: STOC 2013].
渐近k-SAT阈值
自21世纪初以来,物理学家开发了一种巧妙但不严格的形式,称为空腔方法,用于对随机约束满足问题(“csp”)中的相变提出精确的猜想。空腔方法有两个版本:更简单的复制对称变体,以及更复杂的1步复制对称破缺(“1RSB”)版本。通常,前者只给出上界和下界,而后者被推测在许多情况下会产生精确的结果。到目前为止,已经有许多例子严格验证了副本对称边界。然而,对1RSB预测的验证很少。也许在这种情况下,最突出的挑战是确定随机k-SAT阈值rk- SAT。在这里,我们证明了rk—SAT = 2k ln 2—1/2 (1 + ln 2) + ok(1),这与1RSB预测匹配到ok(1)误差项。证明直接使用了来自1RSB空腔方法的思想,例如覆盖的概念(放松的令人满意的分配)和Survey Propagation计算的比特。最佳前下界为rk—SAT≥2k ln 2—3/2 ln 2 + ok(1),与复制对称下界渐近匹配[Coja-Oghlan, Panagiotou: STOC 2013]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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