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A binary tree is a tree in which each node has exactly two descendants. Suppose that each node of the tree is coloured black with probability pp, and white otherwise, independently of all other nodes. For any path π\pi containing nn nodes beginning at the root of the tree, let B(π)B(\pi) be the number of black nodes in π\pi, and let Xn(k)X_{n}(k) be the number of such paths π\pi for which B(π)≥kB(\pi) \geq k. (1) Show that there exists βc\beta_{c} such that \(\lim _{n \rightarrow \infty} \mathbb{E}\left(X_{n}(\beta n)\right)= \begin{cases}0, & \text { if } \beta>\beta_{c} \\ \infty, & \text { if } \beta<\beta_{c}\end{cases}\) How to determine the value of βc\beta_{c} ? (2) For β≠βc\beta \neq \beta_{c}, find the limit limn→∞P(Xn(βn)≥1)\lim _{n \rightarrow \infty} \mathbb{P}\left(X_{n}(\beta n) \geq 1\right).
Plain-text mathematical notation (without MathML)
A binary tree is a tree in which each node has exactly two descendants. Suppose that each node of the tree is coloured black with probability p, and white otherwise, independently of all other nodes. For any path π containing n nodes beginning at the root of the tree, let B(π) be the number of black nodes in π, and let X_(n)(k) be the number of such paths π for which B(π)≥k. (1) Show that there exists β_(c) such that \(\lim _{n \rightarrow \infty} \mathbb{E}\left(X_{n}(\beta n)\right)= \begin{cases}0, & \text { if } \beta>\beta_{c} \\ \infty, & \text { if } \beta<\beta_{c}\end{cases}\) How to determine the value of β_(c) ? (2) For β≠β_(c), find the limit lim_(n→∞)P(X_(n)(βn)≥1).
Original LaTeX notation
A binary tree is a tree in which each node has exactly two descendants. Suppose that each node of the tree is coloured black with probability \(p\), and white otherwise, independently of all other nodes. For any path \(\pi\) containing \(n\) nodes beginning at the root of the tree, let \(B(\pi)\) be the number of black nodes in \(\pi\), and let \(X_{n}(k)\) be the number of such paths \(\pi\) for which \(B(\pi) \geq k\). (1) Show that there exists \(\beta_{c}\) such that \(\lim _{n \rightarrow \infty} \mathbb{E}\left(X_{n}(\beta n)\right)= \begin{cases}0, & \text { if } \beta>\beta_{c} \\ \infty, & \text { if } \beta<\beta_{c}\end{cases}\) How to determine the value of \(\beta_{c}\) ? (2) For \(\beta \neq \beta_{c}\), find the limit \(\lim _{n \rightarrow \infty} \mathbb{P}\left(X_{n}(\beta n) \geq 1\right)\).

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