Tag Archives: math

visualization of Pi

Interesting Pi visualization from a different angle

This image has landed on my facebook feed (original source). The lines connect neighboring digits in the decimal representation of Pi for 10000 digits. A lot of people has commented how the Pi is special and beautiful. They are right but the special feature of Pi in this case is a bit hidden. Any sequence of independent random variables with uniform distribution would produce similar result.

There exists a special term for numbers that have this interesting property. These are called normal numbers and wikipedia says this about them:

In mathematics, a normal number is a real number whose infinite sequence of digits in every base b is distributed uniformly in the sense that each of the b digit values has the same natural density 1/b, also all possible b^2 pairs of digits are equally likely with density b^−2, all b^3 triplets of digits equally likely with density b^−3

The thing is that it is not yet proven if Pi is normal number or not. However it is tested for a vast amount of digits so the first 10000 digits really have the uniform distribution.

Because I couldn’t quickly find the transition probabilities on the internet, I have made a simple statistics myself, you can look at it here:



Why, why, why, why …?

I bet you know this situation. You encounter an interesting theorem, but you are not 100% sure why it is true. You find a proof for this theorem only to see it refers to another theorem which is also interesting, but you are also not 100% sure why is it true. You can go on and on with this exploring seemingly unrelated things and admiring how everything is connected with everything :). I personally love when I do this stuff because I think it gives me a lot of insight into things.

I can give an example of this which I have really enjoyed a few months ago. I have asked myself this question: Why can every possible rotation in 3D space be expressed in axis-angle representation?

When you look at this statement it seems reasonable to be true, but there is always a seed of doubt so I have started looking for a proof. The proof I have found was really elegant. It stated that because every rotation in 3D space can be expressed by a 3×3 matrix and this matrix has to have at least  one real eigenvalue, you can pick one of the eigenvectors of the matrix as the direction vector of the axis of rotation.

I have really liked this proof but I had to ask the next question myself: Why there has to be at least one real eigenvalue? The answer came a few seconds after: Because the characteristic polynomial is of order 3 and these polynomial have at least one real root. And because I was already in this mood I have spent the next few minutes experimenting with odd polynomials to really prove that there has to be at least one real root. This is what a simple question about rotations has led me to that day.