Homework 1 Sample Questions - Stochastic Processes | ECE 6010, Assignments of Stochastic Processes

Material Type: Assignment; Class: Stochastic Processes in Electronic Systems; Subject: Electrical & Computer Engr; University: Utah State University; Term: Unknown 1989;

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Pre 2010

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Utah State University
ECE 6010
Stochastic Processes
Homework # 1
Due Friday September 9.
Reading G&S, Chapter 1
Exercises
1. Create a list of all the stochastic processes you can think of that might occur in the real world
(not just examples from the textbook). Be creative!
2. We defined a field to be a collection of sets that is closed under copmlementation and finite
unions. Show that such a collection is also closed under finite intersections.
3. Using the axioms of probability, prove the followingproperties of probability:
(a) P(Ac) = 1 P(A)
(b) P() = 0
(c) ABP(A)P(B)
(d) P(AB) = P(A) + P(B)P(AB)
(e) A1, A2,... F P(
i=1)P
i=1 P(Ai)
4. Suppose P(B)>0. Prove the following properties of conditional probability:
(a) P(A|B)0.
(b) P(Ω|B) = 1
(c) For A1, A2,... F with AiAj=for i6=j,P(
i=1Ai|B) = P
i=1 P(Ai|B)
(d) AB = P(A|B) = 0.
(e) P(B|B) = 1
(f) ABP(A|B)P(A)
(g) BAP(A|B) = 1.
5. Prove the law of total probability.
1
pf2

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Utah State University

ECE 6010

Stochastic Processes

Homework # 1

Due Friday September 9.

Reading G&S, Chapter 1

Exercises

  1. Create a list of all the stochastic processes you can think of that might occur in the real world (not just examples from the textbook). Be creative!
  2. We defined a field to be a collection of sets that is closed under copmlementation and finite unions. Show that such a collection is also closed under finite intersections.
  3. Using the axioms of probability, prove the following properties of probability: (a) P (Ac) = 1 − P (A) (b) P (∅) = 0 (c) A ⊂ B ⇒ P (A) ≤ P (B) (d) P (A ∪ B) = P (A) + P (B) − P (AB) (e) A 1 , A 2 ,... ∈ F ⇒ P (∪∞ i=1) ≤ ∑∞ i=1 P (Ai)
  4. Suppose P (B) > 0. Prove the following properties of conditional probability: (a) P (A|B) ≥ 0. (b) P (Ω|B) = 1 (c) For A 1 , A 2 ,... ∈ F with AiAj = ∅ for i 6 = j, P (∪∞ i=1Ai|B) = ∑∞ i=1 P (Ai|B) (d) AB = ∅ ⇒ P (A|B) = 0. (e) P (B|B) = 1 (f) A ⊂ B ⇒ P (A|B) ≥ P (A) (g) B ⊂ A ⇒ P (A|B) = 1.
  5. Prove the law of total probability. 1
  1. Prove Bayes rule
  2. Suppose A and B are independent events. Show that A and Bc^ are also independent.