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The Giant Component in a Random Subgraph of a Given Graph

机译:给定图的随机子图中的巨分量

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We consider a random subgraph G_p of a host graph G formed by retaining each edge of G with probability p. We address the question of determining the critical value p (as a function of G) for which a giant component emerges. Suppose G satisfies some (mild) conditions depending on its spectral gap and higher moments of its degree sequence. We define the second order average degree d to be d = Σ_v d_v~2/(Σ_v d_v) where d_v denotes the degree of v. We prove that for any ∈ > 0, if p > (1 + ∈)/d then asymptotically almost surely the percolated subgraph G_p has a giant component. In the other direction, if p < (1 - ∈)/d then almost surely the percolated subgraph G_p contains no giant component.
机译:我们考虑通过以概率p保留G的每个边形成的主图G的随机子图G_p。我们解决了确定临界值p(作为G的函数)的问题,对于该临界值p出现了巨大的分量。假设G满足某些(温和)条件,这取决于它的光谱间隙和其度数序列的较高矩。我们将二阶平均度d定义为d =Σ_vd_v〜2 /(Σ_vd_v)其中d_v表示v的度。我们证明对于任何∈> 0,如果p>(1 +∈)/ d则渐近几乎可以肯定,渗透的子图G_p具有巨大的分量。在另一个方向上,如果p <(1-ε)/ d,则几乎可以肯定,渗透的子图G_p不包含任何巨分量。

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