What is the Pigeonhole Principle Problem in the African Rally?

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In summary, the problem presented in "the Art of Mathematics" by Bela Bollobas (Problem 7 - African Rally) is about not being able to drive around a circuit without running out of fuel. The solution involves starting from a town and finding the first town on the circuit that cannot be reached. This process is repeated until a town that has already appeared is reached, indicating that a full circuit has been completed in stages where fuel was used up. However, this contradicts the fact that there is enough fuel for a full circuit.
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Carl1
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The following problem and solution (Problem 7 - African Rally) is presented in "the Art of Mathematics" by Bela Bollobas:

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Its solution is
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I am fine until I get to the sentence that starts
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...

and then I'm lost in trying to understand the use of the i and j indices. Any help would be appreciated.
 
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  • #2
The idea is this. We are supposing that no matter which town you start from, you cannot drive round the entire circuit without running out of fuel at some stage. So starting from town $k_i$, let town $k_{i+1}$ be the first town on the circuit that cannot be reached. (In terms of Bollobas's notation, this means that $S[k_i,k_{i+1})<0$.) Now start at town $k_{i+1}$ and let town $k_{i+2}$ be the first town that you cannot reach from there. If you continue this process, you must eventually (pigeonhole principle!) come to a town that has already appeared in this sequence. So during that journey you will have completed a number ($m$) of complete circuits, in stages each of which involve running out of fuel. But that contradicts the fact that there is sufficient fuel to allow for a full circuit to be completed.
 
  • #3
Very clearly explained. Thank you.
 

FAQ: What is the Pigeonhole Principle Problem in the African Rally?

What is the Pigeonhole Principle?

The Pigeonhole Principle is a mathematical principle that states that if there are more pigeons than pigeonholes, then at least one pigeonhole must contain more than one pigeon. In other words, if there are n+1 objects and n containers, then at least one container must contain more than one object.

How is the Pigeonhole Principle used in problem-solving?

The Pigeonhole Principle is commonly used in problem-solving to prove the existence of a solution or to show that a certain outcome is inevitable. It is also used to determine the minimum or maximum number of objects that must be present in a given situation.

Can you give an example of a problem that can be solved using the Pigeonhole Principle?

One example is the "birthday problem", where the Pigeonhole Principle is used to calculate the probability that at least two people in a group share the same birthday. This problem can be solved by considering the number of people (pigeons) and the number of days in a year (pigeonholes).

Are there any limitations to the Pigeonhole Principle?

Yes, the Pigeonhole Principle only applies to finite sets. It also assumes that each object can only be placed in one container. Additionally, it does not provide a specific solution to a problem, but rather proves the existence of a solution.

How does the Pigeonhole Principle relate to other mathematical concepts?

The Pigeonhole Principle is closely related to other mathematical concepts such as the Dirichlet's Box Principle and the Generalized Pigeonhole Principle. It is also used in combinatorics, probability, and number theory. Additionally, it is often used in conjunction with other mathematical principles to solve complex problems.

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