- #1
joypav
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Problem:
Suppose that the function $p : N \rightarrow [0, 1]$ satisfies $p >> n^{-1}ln(n)$ (i.e. $n^{-1}ln(n) = o(p)$).
(a) Prove that as $n \rightarrow \infty$, the random graph $G(n, p)$ has minimum degree at least $\frac{np}{2}$ almost surely.
Idea: Look at the degree of each individual vertex $v \in V(G)$. Try to find a bound on the probability of this fixed vertex having a small degree (using Chernoff's Inequality?).
I am not getting to where I think I should with this idea.
Let $X_{u,v}$ be $1$ is $uv \in E(G)$ and $0$ if $uv \notin E(G)$.
Then, $X_v = \sum_{u \in V(G), u \neq v} X_{u,v}$ will give us the degree of $v$.
Also, the $X_{u,v}$'s are uniform/independent (as $G$ is a random graph and edges are picked independently with probability $p$).
Now we may use Chernoff's? How do I use the first thing we assumed... that $p >> n^-1ln(n)$?
(b) Conclude that for any fixed positive integer k, the random graph $G(n, p)$ has minimum
degree at least k almost surely as $n \rightarrow \infty$.
Suppose that the function $p : N \rightarrow [0, 1]$ satisfies $p >> n^{-1}ln(n)$ (i.e. $n^{-1}ln(n) = o(p)$).
(a) Prove that as $n \rightarrow \infty$, the random graph $G(n, p)$ has minimum degree at least $\frac{np}{2}$ almost surely.
Idea: Look at the degree of each individual vertex $v \in V(G)$. Try to find a bound on the probability of this fixed vertex having a small degree (using Chernoff's Inequality?).
I am not getting to where I think I should with this idea.
Let $X_{u,v}$ be $1$ is $uv \in E(G)$ and $0$ if $uv \notin E(G)$.
Then, $X_v = \sum_{u \in V(G), u \neq v} X_{u,v}$ will give us the degree of $v$.
Also, the $X_{u,v}$'s are uniform/independent (as $G$ is a random graph and edges are picked independently with probability $p$).
Now we may use Chernoff's? How do I use the first thing we assumed... that $p >> n^-1ln(n)$?
(b) Conclude that for any fixed positive integer k, the random graph $G(n, p)$ has minimum
degree at least k almost surely as $n \rightarrow \infty$.
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