3 Problems on Stochastic Processes Simulation I - Midterm | MATH 5040, Exams of Mathematics

Material Type: Exam; Class: Stoch Proc,Simultn I; Subject: Mathematics; University: University of Utah; Term: Fall 2008;

Typology: Exams

Pre 2010

Uploaded on 08/30/2009

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Math 5040-1 Midterm
Fall 2008
Instructions:
- This exam is due Wednesday October 29, in lecture. Late exams are
not accepted.
- You may not discuss this exam with other persons; this includes other
students in this course. Failure to do this will result in a zero in this
exam; further action might also be taken in accord with the university
bylaws. By taking this exam you are agreeing that this represents your
work alone.
Problems:
1. (Theoretical problem) Let X:= {Xn}
n=0 denote a Markov chain on a
finite state space Swith transition matrix P, and consider the stochas-
tic process Y:= {Yn}
n=0 defined by setting Yk:= X2k. Is Ya Markov
chain? Prove or disprove carefully.
2. (Theoretical problem) Consider a Markov chain X:= {Xn}
n=0 on the
state space S:= {1,2,3}with the following transition matrix:
P:=
0 1 0
0 0 1
1 0 0
.
And the initial probability distribution of Xis ¯
φ0:= (1/3,1/3,1/3).
For all integers n0 define the random variable Ynto be the indicator
of the event {Xn6= 1}. That is, Yn:= 0 if Xn= 1 and Yn:= 1 other-
wise. Is Y:= {Yn}
n=0 a Markov chain? Prove or disprove carefully.
3. (Simulation problem) A 52-card deck of card is thoroughly shuffled;
then all of the cards are layed out in order [from left to right, say].
What is the probability that a King is set immediately next to an Ace?
1

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Math 5040-1 Midterm Fall 2008

Instructions:

  • This exam is due Wednesday October 29, in lecture. Late exams are not accepted.
  • You may not discuss this exam with other persons; this includes other students in this course. Failure to do this will result in a zero in this exam; further action might also be taken in accord with the university bylaws. By taking this exam you are agreeing that this represents your work alone.

Problems:

  1. (Theoretical problem) Let X := {Xn}∞ n=0 denote a Markov chain on a finite state space S with transition matrix P, and consider the stochas- tic process Y := {Yn}∞ n=0 defined by setting Yk := X 2 k. Is Y a Markov chain? Prove or disprove carefully.
  2. (Theoretical problem) Consider a Markov chain X := {Xn}∞ n=0 on the state space S := { 1 , 2 , 3 } with the following transition matrix:

P :=

And the initial probability distribution of X is φ¯ 0 := (1/ 3 , 1 / 3 , 1 /3). For all integers n ≥ 0 define the random variable Yn to be the indicator of the event {Xn 6 = 1}. That is, Yn := 0 if Xn = 1 and Yn := 1 other- wise. Is Y := {Yn}∞ n=0 a Markov chain? Prove or disprove carefully.

  1. (Simulation problem) A 52-card deck of card is thoroughly shuffled; then all of the cards are layed out in order [from left to right, say]. What is the probability that a King is set immediately next to an Ace?