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Material Type: Assignment; Class: Probability with Engrg Applic; Subject: Electrical and Computer Engr; University: University of Illinois - Urbana-Champaign; Term: Spring 2009;
Typology: Assignments
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University of Illinois Spring 2009
Due: Wednesday February 4 at 4 p.m.. Reading: Ross Chapter 1, Sections 1-4; Chapter 2, Sections 1- Powerpoint Lecture Slides, Sets 1- Noncredit Exercises: Chapter 1: Problems 1-5, 7, 9; Theoretical Exercises 4, 8, 13; Self-Test Problems 1-15. Chapter 2: Problems 3, 4, 9, 10, 11-14; Theoretical Exercises 1-3, 6, 7, 10, 11, 12, 16, 19, 20; Self-Test Problems 1-
Yes, the reading and noncredit exercises are the same as in Problem Set 1.
In Problem 1(d),(e) of Problem Set 1, you showed (we hope!) that (1+x)n^ =
∑^ n
k=
n(n − 1) · · · (n − k + 1) k! xk
for positive integer n. Now, according to Eq. 4.2 of Ross Chapter 1 (with y = 1),
(1 + x)n^ =
∑^ n
k=
n k
xk^ where
n k
n! k!(n − k)!
(a) Show that your answer to Problem 1 of Problem Set 1 agrees with the result in the textbook. (b) Now consider the function g(x) = (1 − x)−n^ where n is a positive integer. Does the MacLaurin series for g(x) contain terms of degree > n? If not, what is the highest degree term? (c) Use the result of part (b) to write down the MacLaurin series for (1 − x)−^1 and (1 − x)−^2. These results will be used so often in ECE 313 that we recommend that you memorize them.
(a) Let n = 4. List all the subsets of Ω in increasing order of size. How many subsets are there? How many of these subsets are non-empty subsets? (b) If you listed only 14 or 15 subsets in part (a), please re-do part (a), and this time, include the empty set ∅ and/or Ω as subsets of Ω. (c) In your answer to part (a) or (b), verify that for each k, 0 ≤ k ≤ 4, the total number of subsets of size k is the same as the total number of subsets of size 4 − k. Now explain why for n in general, the total number of subsets of size k is the same as the total number of sets of size n − k. (d) Each subset A corresponds to a n-bit vector (x 1 , x 2 ,... , xn) where xi = 1 if ωi ∈ A and xi = 0 if ωi ∈/ A. Writing A ↔ (x 1 , x 2 ,... , xn) emphasizes the one-to-one correspondence: each subset defines a unique n-bit vector, and each n-bit vector defines a unique subset, e.g. with n = 4, we have that {ω 1 , ω 3 } ↔ (1, 0 , 1 , 0). i. What n-bit vectors correspond to Ω and to ∅? What n-bit vector corresponds to Ac? ii. If A ↔ (x 1 , x 2 ,... , xn), B ↔ (y 1 , y 2 ,... , yn), (A ∪ B) ↔ (z 1 , z 2 ,... , zn) and (A ∩ B) ↔ (w 1 , w 2 ,... , wn), express the zi’s and wi’s in terms of the xi’s and yi’s. Hint: you may need the logical operators ∨ and ∧ that you may have encountered in ECE 290. iii. How many different n-bit vectors are there? How many different subsets are there of Ω? iv. “They correspond to the nonempty subsets of Ω” Respond as if you are on JeopardyTM: What is the question to which this statement is the answer? How many subsets of Ω are non-empty?
(a) Let A denote the event that the least significant bit (LSB) is a ONE. What is P (A)? (b) Let B denote the event that the register contains 5 ONEs and 3 ZEROes. What is P (B)? (c) What is P (A ∪ B)? What is P (A ∩ B)? What is the probability that exactly one of the two events A and B occurs, i.e. what is P (A ⊕ B)?
(a) What is the probability that you get a pair of shoes? (b) What is the probability of getting one left shoe and one right shoe? Suppose now that n ≥ 2 and that you choose 3 shoes at random from the bag.
(c) What is the probability that you have a pair of shoes among the three that you have picked? (d) What is the probability that you picked at least one left shoe and at least one right shoe?
(a) What is P (T n−^1 H)? Verify that P (Ω) = 1. (b) Which outcomes in Ω comprise the event “Fred wins game”? which the event “Wilma wins game”? (c) Find P (Fred wins game). Now, do a similar calculation to find P (Wilma wins game). By similar we mean that we want you to sum another series to find P (Wilma wins game). Which is larger: P (Fred wins game) or P (Wilma wins game)? Does the answer depend on the value of p?
Wilma grows tired of this game (can you tell why?) and proposes a new game in which whoever matches the result of the previous toss wins the game. She graciously insists that Fred toss first as before, which he does – poor schmuck – without realizing that he has nothing to match on his first toss! The sample space of this new experiment is thus
Ω = {HH, T T, T HH, HT T, HT HH, T HT T, HT HT T, T HT HH,... , }.
(d) Verify that P (Ω) = 1 for this sample space. (e) Which outcomes in Ω comprise the event “Fred wins game”? which the event “Wilma wins game”? (f) Show that P (Fred wins game) < 12 for all choices of p, 0 < p < 1. 2