In this post we will see that a little bit of simple R code can go a very long way! So let’s get started!

One of the fascinating features of number theory (unlike many other branches of mathematics) is that many statements are easy to make but the brightest minds are not able to prove them, the so called *Collatz conjecture* (named after the German mathematician *Lothar Collatz*) is an especially fascinating example:

The Collatz conjecture states that when you start with any positive integer and

- if it is
*even*, the next number is*one half the previous number*and, - if it is
*odd*, the next number is*three times the previous number plus one*

the sequence will *always reach one*.

It doesn’t get any simpler than that but no one has been able to prove this – and not for a lack of trying! The great mathematician Paul Erdős said about it “Mathematics may not be ready for such problems.” You can read more on Wikipedia: Collatz conjecture and an especially nice film that was made by a group of students can be watched here: The Collatz Conjecture.

So let us write a little program and try some numbers!

First we need a simple helper function to determine whether a number is even:

is.even <- function(x) { if (x %% 2 == 0) TRUE else FALSE } is.even(2) ## [1] TRUE is.even(3) ## [1] FALSE

Normally we wouldn’t use a dot within function names but R itself (because of its legacy code) is not totally consistent here and the `is`

-function family (like `is.na`

or `is.integer`

) all use a dot. After that we write a function for the rule itself, making use of the `is.even`

function:

collatz <- function(n) { if (is.even(n)) n/2 else 3 * n + 1 } collatz(6) ## [1] 3 collatz(5) ## [1] 16

To try a number and plot it (like in the Wikipedia article) we could use a `while`

-loop:

n_total <- n <- 27 while (n != 1) { n <- collatz(n) n_total <- c(n_total, n) } n_total ## [1] 27 82 41 124 62 31 94 47 142 71 214 107 322 161 ## [15] 484 242 121 364 182 91 274 137 412 206 103 310 155 466 ## [29] 233 700 350 175 526 263 790 395 1186 593 1780 890 445 1336 ## [43] 668 334 167 502 251 754 377 1132 566 283 850 425 1276 638 ## [57] 319 958 479 1438 719 2158 1079 3238 1619 4858 2429 7288 3644 1822 ## [71] 911 2734 1367 4102 2051 6154 3077 9232 4616 2308 1154 577 1732 866 ## [85] 433 1300 650 325 976 488 244 122 61 184 92 46 23 70 ## [99] 35 106 53 160 80 40 20 10 5 16 8 4 2 1 plot(n_total, type = "l", col = "blue", xlab = "", ylab = "")

As you can see, after a wild ride the sequence finally reaches one as expected. We end with some nerd humour from the cult website *xkcd*:

Beautiful!!!!!!!

Have a look to https://neonira.github.io/math_cs_1 to get some more in depth understanding of digit mutations when using Collatz sequence.

This post and 5 others are dealing with Collatz sequence. Each of them has been produced using R language, markdown and graphviz.

Hope this helps.

Very insightful, thank you!