Chapter 9: Q.9.17 (page 413)
Show that for any discrete random variable and function
Short Answer
The given statement is proved below.
Chapter 9: Q.9.17 (page 413)
Show that for any discrete random variable and function
The given statement is proved below.
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Get started for freeEvents occur according to a Poisson process with rate λ = 3 per hour. (a) What is the probability that no events occur between times 8 and 10 in the morning? (b) What is the expected value of the number of events that occur between times 8 and 10 in the morning? (c) What is the expected time of occurrence of the fifth event after 2 P.M.?
Customers arrive at a certain retail establishment according to a Poisson process with rate λ per hour. Suppose that two customers arrive during the first hour. Find the probability that
(a) both arrived in the first 20 minutes;
(b) at least one arrived in the first 30 minutes.
Suppose that whether it rains tomorrow depends on past weather conditions only through the past 2 days. Specifically, suppose that if it has rained yesterday and today, then it will rain tomorrow with probability .8; if it rained yesterday but not today, then it will rain tomorrow with probability .3; if it rained today but not yesterday, then it will rain tomorrow with probability .4; and if it has not rained either yesterday or today, then it will rain tomorrow with probability .2. What proportion of days does it rain?
In transmitting a bit from location A to location B, if we let X denote the value of the bit sent at location A and Y denote the value received at location B, then H(X) − HY(X) is called the rate of transmission of information from A to B. The maximal rate of transmission, as a function of P{X = 1} = 1 − P{X = 0}, is called the channel capacity. Show that for a binary symmetric channel with P{Y = 1|X = 1} = P{Y = 0|X = 0} = p, the channel capacity is attained by the rate of transmission of information when P{X = 1} = 1 2 and its value is 1 + p log p + (1 − p)log(1 − p).
This problem refers to Example 2f.
(a) Verify that the proposed value of πj satisfies the necessary equations.
(b) For any given molecule, what do you think is the (limiting) probability that it is in urn 1?
(c) Do you think that the events that molecule j, j Ú 1, is in urn 1 at a very large time would be (in the limit) independent?
(d) Explain why the limiting probabilities are as given.
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