# Monkeys and Coconuts

Here is my attempt to solve the monkeys and coconuts problem. The story goes

that five sailors were stranded on an island and had decided to gather some

coconuts for their provisions. They put all the coconuts in one large pile and

went to sleep. One sailor got up and fearing that there could be problems when the

time to came to divide the pile, he divided the pile five ways and noticing that

he has an extra coconut, he gave it to a monkey, and then hid his stash. The other

four sailor repeated the same procedure. When they woke up they noticed that

they had a smaller pile and proceeded to divide into five equal piles, this time

around there were no extra coconut left for the monkey. So the question is: what was

the size of the original pile?

We will denote by as the size of the

pile after the th sailor has carried out his procedure. In this system

is original size of the pile. So following this procedure we then proceed as

follows:

It is important to note that for , also . Alternatively, we think of the reverse procedure and express the above as

Observing that has to be divisible by 4 and 5 (last equation in the first system and first equation in the second), one can brute force the solution(s) by the following Julia code:

Which results in

```
[2496,1996,1596,1276,1020]
m=51, x₀= 3121
[14996,11996,9596,7676,6140]
m=307, x₀= 18746
[27496,21996,17596,14076,11260]
m=563, x₀= 34371
[39996,31996,25596,20476,16380]
m=819, x₀= 49996
```

This corresponds nicely to the answers that were obtained by rigorous derivation in the video, however it shows how programming can easily find such solutions by brute force.

If one would like to avoid the negative or blue concocts suggested in the video and also preserve the monkey. Below is an alternative derivation. Working through the first system, one gets:

Hence,

.

Realizing the has to be necessarily divisible by 5, we denote the final share that each sailor gets in the last division by . So our Diophantine equation becomes

.

It will have solutions at .