Return
Threshold functions for small subgraphs
DOI:10.1017/s0305004100058655.png)
Abstract
En 中文
In this note we shall study random labelled graphs. Denote bythe set of all graphs with n given labelled vertices andM(n)edges. As usual, we turn(M(n))into a probability space by giving all graphs the same probability. The question we address ourselves to is the following. Given a graphHand a constant p, 0 < p < 1, for what functionsM(n)is it true that the probability PM(n)(H ⊂ G) that a graphG∈(M(n))containsHtends topas n∞→? This question was posed by Erdös and Rényi (3), (4), who also proved several beautiful and surprising theorems. In order to state the main general result of Erdös and Rényi in this direction, and for our use later, we introduce some definitions.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
No journal information available
Organization
No organization information available
Cited Papers
No cited papers available

