%! TEX root = PC.tex % vim: tw=80 ft=tex % 24/11/2025 09AM \begin{fcthm}[Ajtai, Komlós, Szemeredi] \label{thm:AKSpath} For $0 < \eps < \frac{1}{3}$, if $G \sim G(n, p)$ where $p = \frac{1 + \eps}{n}$, then $G \supset P_l$ where $l \ge \eps^5 n$. \end{fcthm} \begin{center} \includegraphics[width=0.6\linewidth]{images/a488be1d9a784673.png} \end{center} \begin{fclemma}[] \label{lemma:AKSpath} Let $G$ be an $n$ vertex graph with \gls{dfsseq} $X_1, X_2, \ldots$ and \[ \sum_{i = 1}^T X_i \ge pT - \eps^5 n ,\] where $T = \eps^k n^2$. Then $G \supset P_l$ where $l \ge \eps^5 n$. \end{fclemma} \begin{proof} If at time $T$ we have $|B| \ge \frac{n}{3}$, then since $|V(P)| \le \eps^5 n$, assuming for contradiction $P_l \not\subset G$, for all steps. Then there must have been some step $\le T$ in the algorithm where $|A| \ge \frac{n}{3}$ and $|B| \ge \frac{n}{3}$. Then \[ \eps^2 n^2 = T \ge |A| |B| \ge \frac{n^2}{9} ,\] contradiction. So we may assume $|B| \le \frac{n}{3}$. So we can assume at time $T$ that the algorithm is still running. We have \[ \eps^5 n + |B| \ge |V(P)| + |B| \ge \sum_{i = 1}^T X_i = (*) \] since, each time we see $X_i = 1$ we move a vertex from $A$ into $V(P) \cup B$, and it never returns. Now \[ (*) \ge pT - \eps^5 n \ge \frac{(1 + \eps)\eps^3 n^2}{n} - \eps^5 n \ge \frac{(1 + \eps^2)T}{n} + \eps^5 n .\] So combining we have \[ \frac{n}{3} \ge |B| \ge \frac{(1 + \eps^2) T}{n} .\] Also note \[ |A| = (n - |B| - |V(P)|) \] so \begin{align*} T &\ge |A||B| \\ &\ge (n - |B| - \eps^5 n)|B| \\ &\ge \left( n - \frac{(1 + \eps^2) T}{n} - \eps^5 n \right) \frac{(1 + \eps^2)T}{n} \\ &\ge (1 - 2\eps^3) (1 + \eps^2) T \\ &> T \end{align*} contradiction. \end{proof} Reminder of Chernoff bound: \begin{fclemma}[] Let $X \sim \Bin(n, p)$. Then, for $0 \le t \le pn$, we have \[ \Pbb(|X - \Ebb X| \ge t) \le 2\exp \left( - \frac{t^2}{3pn} \right) .\] \end{fclemma} \begin{proof}[Proof of \cref{thm:AKSpath}] Let $G \sim G(n, p)$, where $p = \frac{(1 + \eps)}{n}$, for $0 < \eps < \frac{1}{3}$. Let $X_1, X_2, X_3, \ldots$ \gls{dfsseq}. This is a sequence of iid Bernoulli random variables with probability $p$. So set $T = \eps^2 n^2$ and note \begin{align*} \Pbb \left( \sum_{i = 1}^{T} X_i < pT - \eps^5 n \right) &\le \Pbb \left( \left| \sum_{i = 1}^{T} X_i - pT \right| > \eps^5 n \right) \\ &\le 2 \exp \left( - \frac{\eps^{10} n^2}{3(1 + \eps) \eps^3 n} \right) \\ &\to 0 \end{align*} since $\eps^5 n < pT = (1 + \eps)\eps^3 n$. So apply \cref{lemma:AKSpath} to see that with probability $1 - o(1)$, $G \supset P_l$, where $l \ge \eps^5 n$. \end{proof} \begin{fcthm}[] Let $\eps \to 0$. Let $w$ be some function with $w \to \infty$. Let $G \sim G(n, p)$. Then \[ \bigcomp(G) = \begin{cases} \frac{\log(\eps^3 n)}{\eps^2} & \eps < \frac{n^{-\frac{1}{3}}}{w} \\ \Theta(n^{\frac{2}{3}} & \eps = \Theta(n^{-\frac{1}{3}}) \\ (2 + o(1)) \eps n & \eps = w \cdot n^{-\frac{1}{3}} \end{cases} \] \end{fcthm} \newpage \section{The threshold for a Hamilton cycle} \begin{center} \includegraphics[width=0.6\linewidth]{images/efce0a60b4a04c1f.png} \end{center} \begin{fcthm}[Pósa] If $p \ge \frac{16 \log n}{n}$ and $G \sim G(n, p)$ then $G \supset C_n$ with high probability. \end{fcthm} \begin{center} \includegraphics[width=0.6\linewidth]{images/25d581bd59cb44b3.png} \end{center} Let $P = v_1 \cdots v_l$ be a path in a graph $G$. Let $v_i v_l \in G$. Define the path $Q$ by \[ Q = v_1 \cdots v_i v_l v_{l - 1} \cdots v_{i + 1} .\] We call this the rotation of $P$ through the edge $v_i v_l$. \begin{center} \includegraphics[width=0.6\linewidth]{images/8db7e1b8af554f7f.png} \end{center} We write for $P, Q$ on the same vertex set $P \sim Q$ if I can obtain $Q$ by applying a sequence of rotations to $P$. We define $P \sim P$. Define \[ X(P) = \{x \in V(P) : \text{$x$ is the end of a path}\} .\] $Q$ and $Q \sim P$. \[ \ol{X}(P) = X(P) \cup \{v_i : \text{$v_{i - 1}$ or $v_{i + 1} \in X(P)$}\} .\] \begin{fclemma}[] \label{lemma:XPpathedges} Let $G$ be a graph, and let $P \supset G$ be a path. Then \[ e(X(P), V(P) \setminus \ol{X}(P)) = 0 .\] \end{fclemma}