MATH152 April 2010
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[hide]Question B 03 (a)
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A random walk problem with two states has a transition matrix
![{\displaystyle P=\left[{\begin{array}{cc}1/3&1/4\\2/3&3/4\end{array}}\right]}](https://wiki.ubc.ca/api/rest_v1/media/math/render/svg/92a2f334e97ab125d2f5f1568e819e8d1023bbcc)
a) What is the probability that when the walker is in state 1 it moves to state 2?
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Make sure you understand the problem fully: What is the question asking you to do? Are there specific conditions or constraints that you should take note of? How will you know if your answer is correct from your work only? Can you rephrase the question in your own words in a way that makes sense to you?
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If you are stuck, check the hint below. Consider it for a while. Does it give you a new idea on how to approach the problem? If so, try it!
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[show]Hint
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What vector corresponds to the walker being at state 1 (with certainty 1)?
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Checking a solution serves two purposes: helping you if, after having used the hint, you still are stuck on the problem; or if you have solved the problem and would like to check your work.
- If you are stuck on a problem: Read the solution slowly and as soon as you feel you could finish the problem on your own, hide it and work on the problem. Come back later to the solution if you are stuck or if you want to check your work.
- If you want to check your work: Don't only focus on the answer, problems are mostly marked for the work you do, make sure you understand all the steps that were required to complete the problem and see if you made mistakes or forgot some aspects. Your goal is to check that your mental process was correct, not only the result.
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[show]Solution
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If the walker starts in state 1, then the probability vector is given by
(i.e: the walker is in state 1 with probability 1 and in state 2 with probability 0). To compute the probability that the walker is in state 2 after one step, simply compute v and look at the second entry:
Thus, the probability of switching from state 1 to state 2 in one time step is 2/3.
(Equivalently, to answer this question you could look at the second entry in the first column of the matrix ).
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