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Omni-MATH / A binary tree is a tree in which each node has exactly two descendants. Suppose…
Problem
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problem
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 , and white otherwise, independently of all other nodes. For any path containing nodes beginning at the root of the tree, let be the number of black nodes in , and let be the number of such paths for which . (1) Show that there exists 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 ? (2) For , find the limit .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 \(\lim _{n \rightarrow \infty} \mathbb{P}\left(X_{n}(\beta n) \geq 1\right)\).Discussion
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- task_id
f57fcfb3-ecee-54f8-b5c5-65c35304be1e- task_key
test--f57fcfb3-ecee-54f8-b5c5-65c35304be1e- task_revision_id
- 1
- config / split
- / test
initial import