Exercises Part 3

  1. Steady State Markov Process

    Find the steady state probabilites of the following Markov Process Solution

  2. Absorption Probabilities

    Calculate the absorption probabilites for state 4 and expected time to absortion from all states. (for absorption time, assume p35=0 and p32=0.5) Solution

  3. Selecting Courses with Markov Process

    Consider the above markov process for changing courses. The probability being in some course tomorrow given a course today is mentioned along the edges. Suppose we start with course 6-1 (Note that course 6 is the combination of courses 6-1, 6-2 and 6-3). Calculate the following

    1. P(eventually leaving course 6).

    2. P(eventually landing in course 15).

    3. E[number of days till leaving course 6].

    4. At every switch for 6-2 to 6-1 or 6-3 to 6-1, we buy an ice cream (but a maximum of two). Calculate the E[number of ice creams before leaving course 6].

    5. Suppose we end up in 15. What is the E[number of steps to reach 15].

    6. Suppose we don’t want to take course 15. Accordingly, when in 6-1, we stay there with probability 1/2 while other three options have equal probabilities. If we are in 6-2, probability of going to 6-1 and 6-3 are in the same ratio as before. Calculate the E[number of days until we enter course 9].

    7. Assuming P(Xn+1=15|Xn=9)=P(Xn+1=9|Xn=15)=P(Xn+1=15|Xn=15)=P(Xn+1=9|Xn=9)=1/2 what is P(Xn=15) and P(Xn=9) far into the future.

    8. Suppose P(Xn+1=61|Xn=9)=1/8P(Xn+1=9|Xn=9)=P(Xn+1=15|Xn=15)=7/8 what is the E[number of days till return to 6-1].

    Solution