概率论与数理统计 (Spring 2023)/Problem Set 4: Difference between revisions
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[<strong>Random Semicircle</strong>] We sample <math>n</math> points within a circle <math>C=\{(x,y) \in \mathbb{R}^2 \mid x^2+y^2 \le 1\}</math> independently and uniformly at random (i.e., the density function <math>f(x,y) \propto 1_{(x,y) \in C}</math>). Find out the probability that they all lie within some semicircle with radius <math>1</math>. (Hint: you may apply the technique of change of variables, see [https://en.wikipedia.org/wiki/Random_variable#Functions_of_random_variables function of random variables] or Chapter 4.7 in ) | |||
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Revision as of 09:07, 22 May 2023
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Assumption throughout Problem Set 4
Without further notice, we are working on probability space [math]\displaystyle{ (\Omega,\mathcal{F},\mathbf{Pr}) }[/math].
Without further notice, we assume that the expectation of random variables are well-defined.
The term [math]\displaystyle{ \log }[/math] used in this context refers to the natural logarithm.
Problem 1
- [Random Process]
Given a real number [math]\displaystyle{ U\lt 1 }[/math] as input of the following process, find out the expected returning value.
Algorithm - Input: real numbers [math]\displaystyle{ U \lt 1 }[/math];
- initialize [math]\displaystyle{ x = 1 }[/math] and [math]\displaystyle{ count = 0 }[/math];
- while [math]\displaystyle{ x \gt U }[/math] do
- choose [math]\displaystyle{ y \in (0,1) }[/math] uniformly at random;
- update [math]\displaystyle{ x = x * y }[/math] and [math]\displaystyle{ count = count + 1 }[/math];
- return [math]\displaystyle{ count }[/math];
- [Random Semicircle] We sample [math]\displaystyle{ n }[/math] points within a circle [math]\displaystyle{ C=\{(x,y) \in \mathbb{R}^2 \mid x^2+y^2 \le 1\} }[/math] independently and uniformly at random (i.e., the density function [math]\displaystyle{ f(x,y) \propto 1_{(x,y) \in C} }[/math]). Find out the probability that they all lie within some semicircle with radius [math]\displaystyle{ 1 }[/math]. (Hint: you may apply the technique of change of variables, see function of random variables or Chapter 4.7 in )