A random bit is a probability space with 2 elementary events, each appearing with probability 1/2. More informally, think of flipping an unbiased coin. Suppose that random bits are available, but we want to simulate an event. with probability 1/3. 6.1. Can you simulate an event with probability 1/3, by using some fired finite number of random bits? 6.2. Give a randomized algorithm that simulates an event with probability 1/3 by using some expected finite number of random bits. Try to make this expected number as small as you can. In both 6.1 and 6.2: Do not only give the answers but explain them, e.g., say why you think that the task in 6.1 is possible or impossible, and prove that your algorithm in 6.2 has the claimed properties. Stick exactly to the

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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Exercise 6.
A random bit is a probability space with 2 elementary events, each appearing
with probability 1/2. More informally, think of flipping an unbiased coin.
Suppose that random bits are available, but we want to simulate an event
with probability 1/3.
6.1. Can you simulate an event with probability 1/3, by using some fired
finite number of random bits?
6.2. Give a randomized algorithm that simulates an event with probability
1/3 by using some expected finite number of random bits. Try to make this
expected number as small as you can.
In both 6.1 and 6.2: Do not only give the answers but explain them, e.g.,
say why you think that the task in 6.1 is possible or impossible, and prove
that your algorithm in 6.2 has the claimed properties. Stick exactly to the
questions, i.e., do not mix up 6.1 and 6.2. Moreover, do not confuse the
number of coin flips with the number of coins.
Transcribed Image Text:Exercise 6. A random bit is a probability space with 2 elementary events, each appearing with probability 1/2. More informally, think of flipping an unbiased coin. Suppose that random bits are available, but we want to simulate an event with probability 1/3. 6.1. Can you simulate an event with probability 1/3, by using some fired finite number of random bits? 6.2. Give a randomized algorithm that simulates an event with probability 1/3 by using some expected finite number of random bits. Try to make this expected number as small as you can. In both 6.1 and 6.2: Do not only give the answers but explain them, e.g., say why you think that the task in 6.1 is possible or impossible, and prove that your algorithm in 6.2 has the claimed properties. Stick exactly to the questions, i.e., do not mix up 6.1 and 6.2. Moreover, do not confuse the number of coin flips with the number of coins.
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