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Suppose the transition matrix for the tennis player in [link] is as follows, where C size 12{C} {} denotes the cross-court shots and D size 12{D} {} denotes down-the-line shots.

This matrix depicts the tendency of a tennis player to make cross-court shots and down-the-line shots.

Find the following.

  1. If the player hit the first shot cross-court, what is the probability he will hit the fourth shot cross-court?

  2. Determine the long term shot distribution.

  1. 0.876
  2. 0 . 875 0 . 125 size 12{ left [ matrix { 0 "." "875" {} # 0 "." "125"{}} right ]} {}
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Professor Hay never orders eggs two days in a row, but if he orders tofu one day, then there is an equal probability that he will order tofu or eggs the next day.

Find the following:

  1. If Professor Hay had eggs on Monday, what is the probability that he will have tofu on Friday?

  2. Find the long term distribution for breakfast choices for Professor Hay.

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Many Russians have experienced a sharp decline in their living standards due to President Yeltsin's reforms. As a result, in the parliamentary elections held in December 1995, Communists and Nationalists made significant gains, and a new pattern in switching political parties emerged. The transition matrix for such a change is given below, where Communists, Nationalists, and Reformists are denoted by the letters C size 12{C} {} , N size 12{N} {} , and R size 12{R} {} , respectively.

This matrix depicts the tendencies for the different political parties to take power.

Find the following.

  1. If in this election Communists received 25% of the votes, Nationalists 30%, and Reformists the rest 45%, what will the distribution be in the next election?

  2. What will the distribution be in the third election?

  3. What will the distribution be in the fourth election?

  4. Determine the long term distribution.

a. . 305 . 31 0 . 385 size 12{ left [ matrix { "." "305" {} # "." "31" {} # 0 "." "385"{}} right ]} {} c. . 32905 . 3291 0 . 3418 size 12{ left [ matrix { "." "32905" {} # "." "3291" {} # 0 "." "3418"{}} right ]} {}

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Absorbing markov chains

Given the following absorbing Markov chain.

This matrix depicts the probability of moving from one sate to the other.

Find the following:

  1. Identify the absorbing states.

  2. Write the solution matrix.

  3. Starting from state 4, what is the probability of eventual absorption in state 1?

  4. Starting from state 2, what is the probability of eventual absorption in state 3?

  1. 1 and 3

  2. This matrix shows the probability of absorption.

  3. 2 / 3
  4. 1 / 2
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Two tennis players, Andre and Vijay each with two dollars in their pocket, decide to bet each other $1, for every game they play. They continue playing until one of them is broke.

Do the following:

  1. Write the transition matrix for Andre.

  2. Identify the absorbing states.

  3. Write the solution matrix.

  4. At a given stage if Andre has $1, what is the chance that he will eventually lose it all?

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Repeat [link] , if the chance of winning for Andre is .4 and for Vijay .6.

  1. Write the transition matrix for Andre.

  2. Write the solution matrix.

  3. If Andre has $3, what is the probability that he will eventually be ruined?

  4. If Vijay has $1, what is the probability that he will eventually triumph?

  1. This matrix shows the probability of winning a dollar for every dollar won.
  2. Andre's solution matrix
    This matrix depict the probability of winning a either zero dollars or four dollars.
  3. 27 / 65
  4. 27 / 65
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Repeat [link] , if initially Andre has $3 and Vijay has $2.

  1. Write the transition matrix.

  2. Identify the absorbing states.

  3. Write the solution matrix.

  4. If Andre has $4, what is the probability that he will eventually be ruined?

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The non-tenured professors at a community college are regularly evaluated. After an evaluation they are classified as good, bad, or improvable. The "improvable" are given a set of recommendations and are re-evaluated the following semester. At the next evaluation, 60% of the improvable turn out to be good, 20% bad, and 20% improvable. These percentages never change and the process continues.

  1. Write the transition matrix.

  2. Identify the absorbing states.

  3. Write the solution matrix.

  4. What is the probability that a professor who is improvable will eventually become good?

  1. The matrix shows the probability of moving from Improvable to Good, Bad, or remaining Improvable.
  2. I and II
  3. 0.75 0.25
  4. 0.75
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Source:  OpenStax, Applied finite mathematics. OpenStax CNX. Jul 16, 2011 Download for free at http://cnx.org/content/col10613/1.5
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