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The hard-core model on random graphs revisited

机译:重新审视随机图的硬核模型

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We revisit the classical hard-core model, also known as independent set and dual to vertex cover problem, where one puts particles with a first-neighbor hard-core repulsion on the vertices of a random graph. Although the case of random graphs with small and very large average degrees respectively are quite well understood, they yield qualitatively different results and our aim here is to reconciliate these two cases. We revisit results that can be obtained using the (heuristic) cavity method and show that it provides a closed-form conjecture for the exact density of the densest packing on random regular graphs with degree K ≥ 20, and that for K > 16 the nature of the phase transition is the same as for large K. This also shows that the hard-code model is the simplest mean-field lattice model for structural glasses and jamming.
机译:我们重新审视经典的硬核模型,也称为独立集和双向顶点覆盖问题,其中将粒子与随机图的顶点上的第一邻居硬核排斥进行。虽然分别具有小而非常大的平均度的随机图的情况非常清楚,但它们的结果不同,结果不同,我们的目的在于和解这两种情况。我们重新访问可以使用(启发式)腔方法获得的结果,并表明它为具有程度K≥20的随机常规图表的最密度包装的精确密度提供了闭合形式的猜想,并且对于K> 16的性质相位转变与大于K的相同。这也表明硬码模型是结构眼镜和干扰的最简单的平均晶格模型。

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