Question 6 (a) Briefly describe the difference between a continuous-time random process and a discrete- time random process. Then, provide an example for each process. (b) Let {X (t), t e (0, 0)} be defined as X(t) = A + Bt for all t e (0, 00) where A and B are independent and identically distributed ex ponential random variables with mean 1. Let Y = X(1) and Z = X(2). Find E(Y Z).

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Question 6
(a) Briefly describe the difference between a continuous-time random process and a discrete-
time random process. Then, provide an example for each process.
(b) Let {X(t), t e (0, 0)} be defined as
X(t) = A + Bt
for all t e (0, 00)
where A and B are independent and identically distributed exponential random variables
with mean 1.
Let Y = X(1) and Z = X(2). Find E(Y Z).
(c) Consider a Markov chain of a system with three possibles states 1, 2, and 3. The transition
probabilities are:
(i) There are 3 missing values in the transition matrix given. Find these values.
(ii) If we know P(Xo = 1) = , find P(Xo = 1, X1 = 3, X2 = 3).
(iii) Suppose that the system is equally likely to be in any of the 3 states at time n = 0.
Find the state distribution of the system at time n = 1.
Transcribed Image Text:Question 6 (a) Briefly describe the difference between a continuous-time random process and a discrete- time random process. Then, provide an example for each process. (b) Let {X(t), t e (0, 0)} be defined as X(t) = A + Bt for all t e (0, 00) where A and B are independent and identically distributed exponential random variables with mean 1. Let Y = X(1) and Z = X(2). Find E(Y Z). (c) Consider a Markov chain of a system with three possibles states 1, 2, and 3. The transition probabilities are: (i) There are 3 missing values in the transition matrix given. Find these values. (ii) If we know P(Xo = 1) = , find P(Xo = 1, X1 = 3, X2 = 3). (iii) Suppose that the system is equally likely to be in any of the 3 states at time n = 0. Find the state distribution of the system at time n = 1.
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