A probability problem..

We have a regular tetrahedron with vertices ABCD.Length of each side being 1 unit.An insect starts at vertex A. At any vertex his probability of continuing on any of the three paths is 1/3 (including returning from the path from where it came). The insect starts at vertex A and travels 5 units.What is the probability that after travelling 5 untis he is still at vertex A?? Answer [20/81] .Tell me how to do it??

Note by Divyaanand Sinha
7 years, 6 months ago

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Comments

We can denote the complete path the insect takes by a sequence of 5 letters where no adjacent letters are the same. For instance BCADBBCADB means that it goes to B, then C, then A, then D, then finally B.

We first calculate the sample size of the probability, namely how many different paths can he take. He has 3 choices for the first journey, 3 choices again for the second, and so on. So we have 353^5

Next, we count the number of paths where he eventually stops at A. The paths can be represented by: _ _ _ _ A, where the first and fourth spot can't have an A. We will count this by case-working as follow:

Case 1, we don't have any As for the second and third spot, which gives 3222=243*2*2*2=24

Case 2, we have an A for either second or third spot, which gives 2(332)=362(3*3*2)=36

This gives a total of 36+24=6036+24=60 paths.

Therefore our probability is 6035=2081\frac {60}{3^5}=\frac {20}{81}

I don't think it was necessary to introduce the denotion of paths after all......oh well it helps me see things more clearly, I even drew a square with vertices labeled ABCD. :)

Xuming Liang - 7 years, 6 months ago

This is an example of a Markov chain with (basically) two states. At any time the insect is either at vertex AA (state 1) or else at one of the other three vertices (state 2).

If the insect is in state 1, he will be in state 2 after one move with probability 11. On the other hand, if the insect is in state 2, then after one move he will be in state 1 with probability 13\tfrac13 and in state 2 with probability 23\tfrac23.

If we let pn,jp_{n,j} be the probability that the insect is in state jj after nn moves, then we can write the information in the previous paragraph in matrix form: (pn,1pn,2)  =  (013123)(pn1,1pn1,2) \left( \begin{array}{c} p_{n,1} \\ p_{n,2}\end{array} \right) \; = \; \left( \begin{array}{cc} 0 & \tfrac13 \\ 1 & \tfrac23 \end{array} \right) \left(\begin{array}{c} p_{n-1,1} \\ p_{n-1,2}\end{array} \right) and hence (since p0,1=1p_{0,1} = 1 and p0,2=0p_{0,2} = 0): (pn,1pn,2)  =  (013123)n(p0,1p0,2)  =  (013123)n(10) \left( \begin{array}{c} p_{n,1} \\ p_{n,2}\end{array} \right) \; = \; \left( \begin{array}{cc} 0 & \tfrac13 \\ 1 & \tfrac23 \end{array} \right)^n \left( \begin{array}{c} p_{0,1} \\ p_{0,2} \end{array} \right) \; = \; \left( \begin{array}{cc} 0 & \tfrac13 \\ 1 & \tfrac23 \end{array} \right)^n \left( \begin{array}{c} 1 \\ 0 \end{array} \right) for any n0n \ge 0. Since (p5,1p5,2)  =  (20816081) \left( \begin{array}{c} p_{5,1} \\ p_{5,2} \end{array} \right) \; = \; \left(\begin{array}{c} \tfrac{20}{81} \\ \tfrac{60}{81} \end{array} \right) and your question asks for p5,1p_{5,1}, we are done.

Mark Hennings - 7 years, 6 months ago
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