28.10.2013 Aufrufe

Chaos & Ordnung - IAAC

Chaos & Ordnung - IAAC

Chaos & Ordnung - IAAC

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cast how they will look in the future. We can only predict how it is going to be, but nature will form as the<br />

conditions in the future will be.<br />

<strong>Chaos</strong> is something that is not predictable over a long time. That happens, because a dynamic system is<br />

sensitive to initial conditions. The more unstable initial conditions a system has the more chaotic it is. You<br />

can only predict something for a short time.<br />

"In other words, it is unpredictable and yet contains regularity." ( by sci. fractals FAQ) In chaotic systems we<br />

can find examples that show us that the little differences at the beginning of a process can be multiplied during<br />

and cause big differences in the end.<br />

Examples are:<br />

The butterfly- effect: It says that if a butterfly in South Africa spreads its wings this effect can be increased<br />

that much that it can cause a tornado in Texas.<br />

The weather: There are a lot of unpredictable initial conditions that are changing all the time. Because of that<br />

you can only forecast the weather for some days.<br />

If you try to calculate chaotic events, there are always calculating mistakes. After each iteration the mistake<br />

is multiplied. In the beginning it might be very small, but after some time it leads to chaos. But still there are<br />

regions in this chaos where there is order.<br />

Another example: You have little predators and a lot of prey, the number of predators will increase. But because<br />

of that the number of prey will reduceà not enough food for the predators. Their number reduces. Now<br />

the prey have the possibility to increase their number. It is a never ending circle.<br />

Dynamical systems can be explained by linear and non- linear functions. The difference between linear and<br />

non- linear functions is how the change of the function looks. In a linear function this change is - surprise-<br />

linear. And in a non- linear function it does not have to be linear. So all that matters is how the change of the<br />

function looks.<br />

Expressing chaos through music<br />

We found out that all things in nature can be expressed also by music. You can use sequences of DNA,<br />

proteins, shapes of mountains... or you can just use algorithms to produce music. Tones can be connected<br />

to parts of the sequences or with numbers in the algorithm. If you use a sequence to produce music it has<br />

nothing to do with fractals, but if you use an algorithm you can say that you get fractal music. The principle is<br />

the same as if you show the fractal on the monitor, but you are using tones instead.<br />

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