English

K-core in percolated dense graph sequences

Probability 2022-05-11 v2 Combinatorics

Abstract

We determine the size of kk-core in a large class of dense graph sequences. Let GnG_n be a sequence of undirected, nn-vertex graphs with edge weights {ai,jn}i,j[n]\{a^n_{i,j}\}_{i,j \in [n]} that converges to a kernel W:[0,1]2[0,+)W:[0,1]^2\to [0,+\infty) in the cut metric. Keeping an edge (i,j)(i,j) of GnG_n with probability min{ai,jn/n,1}\min \{ {a^n_{i,j}}/{n},1 \} independently, we obtain a sequence of random graphs Gn(1n)G_n(\frac{1}{n}). Denote by A\mathcal{A} the property of a branching process that the initial particle has at least kk children, each of which has at least k1k-1 children, each of which has at least k1k-1 children, and so on. Using branching process and the theory of dense graph limits, under mild assumptions we obtain the size of kk-core of random graphs Gn(1n)G_n(\frac{1}{n}), \begin{align*} \text{size of kk-core of } G_n\left(\frac{1}{n}\right) =n \mathbb{P}_{X^W}\left(\mathcal{A}\right) +o_p(n). \end{align*} Our result can also be used to obtain the threshold of appearance of a kk-core of order nn.

Keywords

Cite

@article{arxiv.2012.09730,
  title  = {K-core in percolated dense graph sequences},
  author = {Erhan Bayraktar and Suman Chakraborty and Xin Zhang},
  journal= {arXiv preprint arXiv:2012.09730},
  year   = {2022}
}

Comments

23 pages. The main theorem is proved under optimal condition

R2 v1 2026-06-23T21:03:15.708Z