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== Problem 4 (Concentration of measure) == Consider the [[wikipedia:Erds-Rnyi_model#Definition|Erds-Rnyi random graph]] G(n, p) where every two vertices in the graph are connected randomly and

== Problem 4 (Concentration of measure) == Consider the [[wikipedia:Erds-Rnyi_model#Definition|Erds-Rnyi random graph]] G(n, p) where every two vertices in the graph are connected randomly and independently with probability p. We denote G \sim G(n, p) if G is generated in this way. Recall that \chi(G) is the chromatic number of the graph G. '''(a.)''' For 0 < p_1 < p_2 < 1, let G_1 \sim G(n, p_1) and let G_2 \sim G(n, p_2). Compare \mathbf{E}[\chi(G_1)] and \mathbf{E}[\chi(G_2)] and prove it. '''(b.)''' For G \sim G(n, n^{-\alpha}) with \alpha > 5/6 and constant C > 0, prove that every subgraph of G on C\sqrt{n \log n} vertices is 3-colorable with probability 1 - o(1) when n is large enough. ('''''Hint''''': \binom{n}{k} \leq (en/k)^k.) '''(c.)''' For G \sim G(n, n^{-\alpha}) with \alpha > 5/6, show that \chi(G) is concentrated on four values with probability 1 - o(1) when n is large enough. To be more exact, show that there exists an integer u such that u \leq \chi(G) \leq u+3 with probability 1 - o(1) when n is large enough.

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