English

Connectivity threshold for superpositions of Bernoulli random graphs. II

Probability 2023-11-17 v1 Combinatorics

Abstract

Let G1,,GmG_1,\dots, G_m be independent Bernoulli random subgraphs of the complete graph Kn{\cal K}_n having variable sizes X1,,Xm{0,1,2,}X_1,\dots, X_m\in \{0,1,2,\dots\} and densities Q1,,Qm[0,1]Q_1,\dots, Q_m\in [0,1]. Letting n,m+n,m\to+\infty we establish the connectivity threshold for the union i=1mGi\cup_{i=1}^mG_i defined on the vertex set of Kn{\cal K}_n. Assuming that (X1,Q1),(X2,Q2),,(Xm,Qm)(X_1,Q_1), (X_2,Q_2),\dots, (X_m,Q_m) are independent identically distributed bivariate random variables and lnnmnE(X1(1(1Q1)X11)c\ln n -\frac{m}{n}E\bigl(X_1(1-(1-Q_1)^{|X_1-1|}\bigr)\to c we show that P{i=1mGiP\{\cup_{i=1}^mG_i is connected}eec\}\to e^{-e^c}.The result extends to the case of non-identically distributed random variables (X1,Q1),,(Xm,Qm)(X_1,Q_1),\dots, (X_m,Q_m) as well.

Keywords

Cite

@article{arxiv.2311.09317,
  title  = {Connectivity threshold for superpositions of Bernoulli random graphs. II},
  author = {Mindaugas Bloznelis and Dominykas Marma and Rimantas Vaicekauskas},
  journal= {arXiv preprint arXiv:2311.09317},
  year   = {2023}
}