# Pi Day MMXVII

2017-03-14, post № 163

**mathematics**, **programming**, **Python**, #approximation, #dimensions, #four, #four dimensions, #generator, #higher dimensions, #hyperspheres

Every year on March the 14th, for one day the world gets irrationally excited about the famous constant 𝜋. As is tradition, you try to calculate 𝜋 in unusual ways, demonstrating the constant’s ubiquity as it crops up in the most unexpected circumstances.

lnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn nJ$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$w `v$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ n$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$z u$$mnn: Y$$$i .@$$$$$, $$n )$$$* W$$$$$m -n[ $$$$. ]$$$$$$ h$$$w $$$$$$Y [$$$$ X$$$$$$ "$$$$n '$$$$$${ .$$$$$ 8$$$$$$ *$$$$} :$$$$$$+ #$$$$u $$$$$$% t$$$$$$ ;$$$$$$` u$$$$$$! $$$$$$W Y$$$$$$M .$$$$$$, f$$$$$$$$. Z$$$$$Z nn `w$$$$$$$$| $$$$$$( v$z n$$$$$$$$$W $$$$$$$1 'X$8 Y$$$$$$$$$$ *$$$$$$$8nnnn$$$p $$$$$$$$$@. W$$$$$$$$$$$$$n _$$$$$$${ x$$$$$$$$$0> -n{. !|nt_.

A fairly well-known way to approximate 𝜋 is to randomly choose points in a square (often thought of as throwing darts at a square piece of cardboard), determine their distance to a circle’s center and do a division, as I did in my 𝜋 Generator post.

However, 𝜋 does not only appear in the formula for a circle’s area, , yet^{ [1]} also in the formula for a sphere’s volume, , and for all the infinite hyperspheres above dimension three (view this Wikipedia article for more about volumes of higher-dimensional spheres).

In particular, the formula for the hypervolume of a hypersphere in four dimensions is defined as being . Using this formula, my Python script randomly chooses four-dimensional points (each in the interval ), calculates their distance to the point and determines if they are in the hypersphere around that point with radius 𝟢.𝟧.

By dividing the number of random points which lie in the hypersphere by the number of iterations used ( in the example below), the script approximates the hypersphere’s hypervolume. By then rearranging the equation with 𝑟 = 𝟢.𝟧 to , the desired constant can be approximated.

$ python pi.py 3.14196371717

## Footnotes

- ▲ [2020-07-29] “but”?