28.10.2013 Aufrufe

Chaos & Ordnung - IAAC

Chaos & Ordnung - IAAC

Chaos & Ordnung - IAAC

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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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