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arXiv 1107.2341math.COcond-mat.stat-mech
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随机超图2-染色中的凝聚转移

The condensation transition in random hypergraph 2-coloring

Amin Coja-Oghlan, Lenka Zdeborova

摘要:

对于许多随机约束满足问题,如随机可满足性、随机图或超图着色等,目前最好的解存在性阈值估计是基于一阶矩和二阶矩方法。然而,在大多数情况下,这些技术不产生匹配的上界和下界。来自统计力学的复杂但不严格的论点将这种差异归因于称为凝聚的相变的存在,该相变发生在解存在的实际阈值之前不久,并且影响问题的组合性质(Krzakala,Montanari,Ricci-Tersenghi,Semerjian,Zdeborova:PNAS 2007)。本文首次证明了自然随机CSP,即随机超图2-染色中存在凝聚转移。也许令人惊讶的是,我们发现,二阶矩方法打破严格的\emph{before}的凝聚过渡。我们的证明也产生轻微的改进界限的阈值随机超图2-着色。我们希望我们的技术可以扩展到其他相关的问题,如随机k-SAT或随机图k-着色。

英文摘要:

For many random constraint satisfaction problems such as random satisfiability or random graph or hypergraph coloring, the best current estimates of the threshold for the existence of solutions are based on the first and the second moment method. However, in most cases these techniques do not yield matching upper and lower bounds. Sophisticated but non-rigorous arguments from statistical mechanics have ascribed this discrepancy to the existence of a phase transition called condensation that occurs shortly before the actual threshold for the existence of solutions and that affects the combinatorial nature of the problem (Krzakala, Montanari, Ricci-Tersenghi, Semerjian, Zdeborova: PNAS 2007). In this paper we prove for the first time that a condensation transition exists in a natural random CSP, namely in random hypergraph 2-coloring. Perhaps surprisingly, we find that the second moment method breaks down strictly \emph{before} the condensation transition. Our proof also yields slightly improved bounds on the threshold for random hypergraph 2-colorability. We expect that our techniques can be extended to other, related problems such as random k-SAT or random graph k-coloring.

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