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Homework 1 of Elec 430

Module by: Behnaam Aazhang

Summary: First homework of Elec 430

Elec 430 homework set 1. Rice University Department of Electrical and Computer Engineering.
Problem 1
The current II in a semiconductor diode is related to the voltage VV by the relation I=V-1 I V 1 . If VV is a random variable with density function f V x=12-|x| f V x 1 2 x for -<x< x , find fIy f I y ; the density function of II.
Problem 2

2.a)

Show that if AB={} A B {} then PrAPr B c A B c

2.b)

Show that for any AA, BB, CC we have PrABC=PrA+PrB+PrC-PrAB-PrAC-PrBC+PrABC A B C A B C A B A C B C A B C

2.c)

Show that if AA and BB are independent the PrA B c =PrAPr B c A B c A B c which means AA and Bc Bc are also independent.
Problem 3
Suppose XX is a discrete random variable taking values 012n 0 1 2 n with the following probability mass function pXk=n!k!n-k!θk1-θn-kifk=012n0otherwise p X k n k n k θ k 1 θ n k k 0 1 2 n 0 with parameter θ01 θ 0 1

3.a)

Find the characteristic function of XX.

3.b)

Find X¯ X and σ X 2 σ X 2
Hint: See problems 3.14 and 3.15 in Proakis and Salehi
Problem 4
Consider outcomes of a fair dice Ω= ω 1 ω 2 ω 3 ω 4 ω 5 ω 6 Ω ω 1 ω 2 ω 3 ω 4 ω 5 ω 6 . Define events A={ω|an even number appears} A ω an even number appears ω and B={ω|a number less than 5 appears} B ω a number less than 5 appears ω . Are these events disjoint? Are they independent? (Show your work!)
Problem 5
This is problem 3.5 in Proakis and Salehi.
An information source produces 0 and 1 with probabilities 0.3 and 0.7, respectively. The output of the source is transmitted via a channel that has a probability of error (turning a 1 into a 0 or a 0 into a 1) equal to 0.2.

5.a)

What is the probability that at the output a 1 is observed?

5.b)

What is the probability that a 1 was the output of the source if at the output of the channel a 1 is observed?
Problem 6
Suppose XX and YY are each Gaussian random variables with means μ X μ X and μ Y μ Y and variances σ X 2 σ X 2 and σ Y 2 σ Y 2 . Assume that they are also independent. Show that Z=X+Y Z X Y is also Gaussian. Find the mean and variance of ZZ.

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