How Long Will the Rat Be Trapped in the Maze?

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In summary, the expected time trapped in the "Rat in a Maze" problem is calculated using the formula E(X) = Σ x * P(x), where x represents the number of steps and P(x) represents the probability of taking x number of steps. The number of possible paths in the maze can affect the expected time, as more paths mean a higher expected time. This concept is relevant in real-life scenarios where there is uncertainty and multiple possible outcomes, and it can be applied in fields such as economics and decision-making. Furthermore, the expected time trapped can be calculated for any size maze as long as it is a perfect maze with only one path from start to end.
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Chris L T521
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Thanks to those who participated in last week's POTW! Here's this week's problem (going along with the probability theme for the Graduate POTW)!

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Problem: A rat is trapped in a maze. Initially it has to choose one of two directions. If it goes to the right, then it will wander around the maze for three minutes and will then return to it's initial position. If it goes to the left, then with probability $\frac{1}{3}$ it will depart the maze after two minutes of traveling, and with probability $\frac{2}{3}$ it will return to it's initial position after five minutes of traveling. Assuming that the rat is at all times equally likely to go to the left or to the right, what is the expected number of minutes that it will be trapped in the maze?

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No one got this week's question correct. You can find my solution below.

Let $T$ represent the total time in the maze. Let \[X=\begin{cases} 0 & \text{if go to right with $p=1/2$.}\\1 & \text{if go to left with $p=1/2$.}\end{cases}\] Therefore,
\[\begin{aligned}E[T]&=\sum\limits_{x=0}^1E[T|X=x]\\ &=\frac{1}{2}(E[T]+3)+\frac{1}{2}E[T\mid X=1]\\ &= \frac{1}{2}(E[T]+3)+\frac{1}{2}\left(\frac{2}{3}(E[T]+5)+\frac{1}{3}(2)\right)\\ &=\frac{5}{6}E[T]+\frac{21}{6}\end{aligned}\]
Therefore, $E[T]=\frac{5}{6}E[T]+\frac{21}{6}\implies \frac{1}{6}E[T]=\frac{21}{6}\implies E[T]=21$. Thus, the expected number of minutes that the rat spends in the maze is 21 minutes.
 

Related to How Long Will the Rat Be Trapped in the Maze?

1. How is the expected time trapped calculated in the "Rat in a Maze" problem?

The expected time trapped in the "Rat in a Maze" problem is calculated by taking into account the number of possible paths the rat can take, the probability of choosing each path, and the number of steps it takes to reach the end of the maze. This calculation is based on the concept of expected value in probability and statistics.

2. Is there a specific formula for calculating the expected time trapped in the "Rat in a Maze" problem?

Yes, there is a specific formula for calculating the expected time trapped in the "Rat in a Maze" problem. It is known as the "expected value" formula and is represented as E(X) = Σ x * P(x), where x represents the number of steps and P(x) represents the probability of taking x number of steps.

3. How does the number of possible paths affect the expected time trapped in the "Rat in a Maze" problem?

The number of possible paths affects the expected time trapped in the "Rat in a Maze" problem by increasing the number of possible outcomes and therefore, increasing the expected time. The more paths the rat can take, the more steps it may need to take to reach the end of the maze, resulting in a higher expected time trapped.

4. Can the expected time trapped in the "Rat in a Maze" problem be calculated for any size maze?

Yes, the expected time trapped in the "Rat in a Maze" problem can be calculated for any size maze as long as the maze is a perfect maze, meaning there is only one path from the starting point to the end point. If the maze has multiple paths or dead ends, the expected time trapped cannot be accurately calculated.

5. How is the concept of expected time trapped in the "Rat in a Maze" problem relevant in real-life scenarios?

The concept of expected time trapped in the "Rat in a Maze" problem is relevant in real-life scenarios, particularly in situations where there are multiple possible outcomes and a certain level of uncertainty. This concept can be applied in fields such as economics, finance, and decision-making, where calculating the expected value helps in making informed choices and predicting outcomes.

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