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If you want to measure the length of a fractal, you will<br />
see that this length is endless. We did an experiment,<br />
where we tried to measure some kind of fractal with<br />
different scales. The smaller the scales got the length<br />
of the fractal got bigger and bigger. If you would<br />
choose the scale to be endless small, the length of the<br />
fractal would get endless. If you look at coasts as<br />
fractals you can say, that every coast in the world is<br />
as long as another- endless.( if you watch the coast<br />
from the satellite you can measure some length. If you<br />
come closer you will see that there are some small<br />
bays- if you measure now, the coast is longer. If you<br />
go to these bays, you will see that there are some<br />
rocks- the coast gets longer. But the rocks are not<br />
smooth.......).<br />
If you try to calculate a fractal, there are always some<br />
calculating mistakes. After each iteration the mistake is<br />
multiplied. In the beginning it might be very small, but<br />
after some time it leads to chaos. But still there are<br />
regions in this chaos where there is order.<br />
Fractals also have their own dimensions. If the fractal is<br />
in 2 dimensional space its form is something between a<br />
line and a square and so its fractal dimension is between<br />
1 and 2. If the fractal is in 3 dimensional space, its form<br />
is something between a square and a cube, so its<br />
dimension is between 2 and 3.<br />
Another important point are dynamic systems. So what<br />
is a dynamic system? An example: You have little predators<br />
and a lot of prey, the number of predators will increase.<br />
But because of that the number of prey will<br />
reduce not enough food for the predators. Their<br />
number reduces. Now the prey have the possibility to<br />
increase their number. It is a never ending circle.<br />
In a linear system you get a value of y for every x you<br />
choose. The form of the function is predictable. If you<br />
have a non- linear system, the values are not predictable.<br />
In the beginning the function might be growing and<br />
then suddenly start to move between two or more pints.<br />
It is like broken lines. The function is depending on one<br />
constant value. It might look completely different if the<br />
factor is between 0 an 1, 1 and 3 or if it is larger than 3.<br />
In nature we can find fractals almost everywhere, but<br />
they are not built strictly after mathematical rules. Almost<br />
every object can be described by fractals.<br />
Nature brings out fractals in all shapes and sizes. In<br />
each plant there is one pattern that repeats itself over<br />
and over. In nature it is not endless because of physical<br />
rules (gravity, weight...). In nature the patterns of fractals<br />
are never exactly the same, there are little differences<br />
(colour, size...). Nature regenerates its patterns when<br />
they are destroyed by outer forces (e.g.: if a branch<br />
brakes there will grow at least two new branches at the<br />
same place).<br />
When we look at nature today we just see the moment.<br />
We cannot see how plants looked like some million<br />
years ago and we cannot forecast how they will look in<br />
the future. We can only predict how it is going to be, but<br />
nature will form as the conditions in the future will be.<br />
We also heard about the chaos theory. One example is<br />
the butterfly- effect. It says that if a butterfly in South<br />
Africa spreads its wings it might cause a tornado in<br />
Texas. That is a thing you also cannot predict.<br />
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