Random Subgraphs in Sparse Graphs

preprint2013arXivOpen access

Abstract

We investigate the threshold probability for connectivity of sparse graphs under weak assumptions. As a corollary this completely solve the problem for Cartesian powers of arbitrary graphs. In detail, let GG be a connected graph on kk vertices, GnG^n the nn-th Cartesian power of GG, αiα_i be the number of vertices of degree ii of GG, λλ be a positive real number, and GpnG^n_p be the graph obtained from GnG^n by deleting every edge independently with probability 1−p1-p. If ∑iαi(1−p)i=λ1n\sum_{i}α_i(1-p)^i=λ^{\frac{1}{n}}, then lim⁡n→∞P[Gpn is connected]=exp⁡(−λ)\lim_{n\rightarrow \infty}\mathbb{P}[G^n_p {\rm\ is\ connected}]=\exp(-λ). This result extends known results for regular graphs. The main result implies that the threshold probability does not depend on the graph structure of GG itself, but only on the degree sequence of the graph.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.