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# Fractal

Informally speaking fractal is a shape that's geometrically "infinitely complex" while being described in an extremely simple way, e.g. with a very simple formula or algorithm. Shapes found in nature, such as trees, mountains or clouds, often exhibit fractal structure. Fractals show self-similarity, i.e. upon "zooming" into an ideal fractal we observe that it is composed, down to an infinitely small scale, of shapes resembling the shape of the whole fractal; e.g. the branches of a tree look like smaller versions of the whole tree etc.

Fractals are the beauty of mathematics that can easily be seen even by non-mathematicians, so they are probably good as a motivational example in math education.

As for the history of fractal theory, the mathematical interest in them seems to date back to 17th century and Gottfied Leibniz's study, although humans have been "intuitively" aware of fractal patterns for as long as anyone will remember, fractals are encountered in oldest architecture etc. At the beginning of 20th century two of the most iconic fractals were described: the Koch snowflake and Sierpinski triangle. This was followed by Felix Hausdorff's definition of fractal dimension in 1918. The word "fractal" was coined in 1975 by Benoit Mandelbrot. Computer graphics enabled by the newest technology then led to popularization and increased focus on fractals.

Fractal geometry is a kind of geometry that examines these intricate shapes -- it turns out that unlike "normal" shapes such as circles and cubes, whose attributes (such as circumference, volume, ...) are mostly quite straightforward, perfect fractals (i.e. the mathematically ideal ones whose structure is infinitely complex) show some greatly unintuitive properties -- basically just as anything involving infinity they can get very tricky. For example a 2D fractal may have finite area but infinite circumference -- this is because the border is infinitely complex and swirls more and more as we zoom in, increasing the length of the border more and more the closer we look. This was famously notice e.g. when people tried to measure lengths of rivers or coastlines (which are sort of fractal shapes) -- the length they measured always depended on the length of the ruler they used; the shorter ruler you use, the greater length you get because the meanders of the details increase it. For this reason it is impossible to exactly and objectively give an exact length of such a shape.

Fractal is formed by iteratively or recursively (repeatedly) applying its defining rule -- once we repeat the rule infinitely many times, we've got a perfect fractal. In the real world, of course, both in nature and in computing, the rule is just repeat many times as we can't repeat literally infinitely. The following is an example of how iteration of a rule creates a simple tree fractal; the rule being: from each branch grow two smaller branches.

                                                        V   V V   V
                                    \ /   \ /         V  \ /   \ /  V
                   |     |      _|   |     |   |_   >_|   |     |   |_<
                '-.|     |.-'     '-.|     |.-'        '-.|     |.-'
       \   /        \   /             \   /                \   /
        \ /          \ /               \ /                  \ /
         |            |                 |                    |
         |            |                 |                    |
         |            |                 |                    |

    iteration 0  iteration 1       iteration 2          iteration 3

Mathematically fractal is a shape whose Hausdorff dimension (the "scaling factor of the shape's mass") may be non-integer and is bigger than its topological dimension (the "normal" dimension suh as 0 for a point, 1 for a line, 2 for a plane etc.). For example the Sierpinski triangle has a topological dimension 1 but Hausdorff dimension approx. 1.585 because if we scale it down twice, it decreases its "weight" three times (it becomes one of the three parts it is composed of); Hausdorff dimension is then calculated as log(3)/log(2) ~= 1.585.

L-systems are one possible way of creating fractals. They describe rules in form of a formal grammar which is used to generate a string of symbols that are subsequently interpreted as drawing commands (e.g. with turtle graphics) that render the fractal. The above shown tree can be described by an L-system. Among similar famous fractals are the Koch snowflake and Sierpinski Triangle.

                  /\
                 /\/\
                /\  /\
               /\/\/\/\
              /\      /\
             /\/\    /\/\
            /\  /\  /\  /\
           /\/\/\/\/\/\/\/\

         Sierpinski Triangle

Fractals don't have to be deterministic, sometimes there can be randomness in the rules which will make the shape be not perfectly self-similar (e.g. in the above shown tree fractal we might modify the rule to from each branch grow 2 or 3 new branches).

Another way of describing fractals is by iterative mathematical formulas that work with points in space. One of the most famous fractals formed this way is the Mandelbrot set. It is the set of complex numbers c such that the series z_next = (z_previous)^2 + c, z0 = 0 does not diverge to infinity. Mendelbrot set can nicely be rendered by assigning each iteration's result a different color; this produces a nice colorful fractal. Julia sets are very similar and there is infinitely many of them (each Julia set is formed like the Mandelbrot set but c is fixed for the specific set and z0 is the tested point in the complex plain).

Fractals can of course also exist in 3 and more dimensions so we can have also have animated 3D fractals etc.

## Fractals In Tech

Computers are good for exploring and rendering fractals as they can repeat given rule millions of times in a very short time. Programming fractals is quite easy thanks to their simple rules, yet this can highly impress noobs.

However, as shown by Code Parade (https://yewtu.be/watch?v=Pv26QAOcb6Q), complex fractals could be rendered even before the computer era using just a projector and camera that feeds back the picture to the camera. This is pretty neat, though it seems no one actually did it back then.

A nice FOSS program to interactively zoom into 2D fractals is e.g. xaos.

3D fractals can be rendered with ray marching and so called distance estimation. This works similarly to classic ray tracing but the rays are traced iteratively: we step along the ray and at each step use an estimate of the current point to the surface of the fractal; once we are "close enough" (below some specified threshold), we declare a hit and proceed as in normal ray tracing (we can render shadows, apply materials etc.). The distance estimate is done by some clever math.

Mandelbulber is a free, advanced software for exploring and rendering 3D fractals using the mentioned method.

Marble Racer is a FOSS game in which the player races a glass ball through levels that are animated 3D fractals. It also uses the distance estimation method implemented as a GPU shader and runs in real-time.

Fractals are also immensely useful in procedural generation, they can help generate complex art much faster than human artists, and such art can only take a very small amount of storage.

There exist also compression techniques based on fractals, see fractal compression.

There also exist such things as fractal antennas and fractal transistors.

## Example

Here is C code that draws one of the super simple fractals: Sierpinski triangle:

    #include <stdio.h>

    char sierpinski(int x, int y, int w, int h)
    {
      if (x >= w/2 && y < h/2)
        return ' ';

      if (w <= 1 || h <= 1)
        return 'H';

      return sierpinski(x % (w/2),y % (h/2),w/2,h/2);
    }

    int main(void)
    {
      #define W 32
      #define H 32

      for (int y = 0; y < W; ++y)
      {
        for (int x = 0; x < H; ++x)
        {
          char c = sierpinski(x,y,W,H);
          putchar(c); putchar(c);
        }

        putchar('\n');
      }

      return 0;
    }

which outputs:

    HH
    HHHH
    HH  HH
    HHHHHHHH
    HH      HH
    HHHH    HHHH
    HH  HH  HH  HH
    HHHHHHHHHHHHHHHH
    HH              HH
    HHHH            HHHH
    HH  HH          HH  HH
    HHHHHHHH        HHHHHHHH
    HH      HH      HH      HH
    HHHH    HHHH    HHHH    HHHH
    HH  HH  HH  HH  HH  HH  HH  HH
    HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH
    HH                              HH
    HHHH                            HHHH
    HH  HH                          HH  HH
    HHHHHHHH                        HHHHHHHH
    HH      HH                      HH      HH
    HHHH    HHHH                    HHHH    HHHH
    HH  HH  HH  HH                  HH  HH  HH  HH
    HHHHHHHHHHHHHHHH                HHHHHHHHHHHHHHHH
    HH              HH              HH              HH
    HHHH            HHHH            HHHH            HHHH
    HH  HH          HH  HH          HH  HH          HH  HH
    HHHHHHHH        HHHHHHHH        HHHHHHHH        HHHHHHHH
    HH      HH      HH      HH      HH      HH      HH      HH
    HHHH    HHHH    HHHH    HHHH    HHHH    HHHH    HHHH    HHHH
    HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH  HH
    HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH

## See Also

- attractor
- recursion
- Lissajous curve
- rose curves
- cardioid
- spirograph
- procedural generation
- turtle graphics

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