Grocery on Distributed Algorithms

T1: Some Inequalities on Random Graphs

Reminder: This post contains 320 words · 1 min read · by Xianbin

\(\textbf{Lemma 1}\) (Second Moment Method). If \(X\) is a non-negative integer random variable, then we have

\[P(X=0) \leq \frac{\text{Var} X}{(EX)^2} = \frac{E[X^2]}{(EX)^2}-1\]

\(\textbf{Lemma 2}\) (Strong Second Moment Method). If \(X\) is a non-negative integer random variable, then we have

\[P(X=0) \leq \frac{\text{Var} X}{EX^2} = 1-\frac{(EX)^2}{E[X^2]}\]