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I had an intro course on this in my second year at the university.

regards

marlon

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Claude Bile

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Marlon mentioned a bottom up approach, starting with the equations, but many experimentalists study chaos from the top down, that is, making direct observations of chaos and attempting to quantify their observations and relate those quantities back to system parameters.

Chaos is commonly characterised by defining the dimension of the chaos and the Lyapunov exponent (the rate of divergence of two nearly identical trajectories in the phase space of the system). These two quantities are extremely difficult to calculate and require elaborate computations to do so.

Studying a chaotic system essentially involves the calculation of these two parameters. Chaotic systems usually have several regions of chaos, noticable changes in the behaviour of the system, depending on the amount of positive feedback. By knowing what parameters give what type of chaos, the chaos in a system can be actively controlled.

Claude.

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coo, thx for the replies...is chaotic theory/dynamicalsystems/bifurcation theory(marlon, yeah i know bifurcation, funny how it applies to psych) (ie using the billiard tables system in 3D environment?) used in QM or AP alot or are there very few researchers who use it?

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Claude Bile

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Well, if you do mean Applied Physics, then yes, chaos is widely studied. We have people at my university working on optical chaos and chaos in semiconductor lasers.

The amount of papers published on these topic was enough for SPIE to release a collection of papers in their milestone series, so yes I would say it is fairly widespread.

The thing about chaos is that it is not system specific, it turns up in just about every field of physics.

Claude.

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ap-

astrophys

astrophys

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Claude Bile

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- Bistability in organic molecular clouds.

- When one includes the gas giants when analysing the motion of the solar system, the small effect of the gas giants can induce a choatic wobble in the earths orbit that may be responsible for long term climate change. I think there was an article in New Scientist on this topic a while ago.

Claude.

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Well you are talking about Picard's iteration method,and similar things!marlon said:For starters, they try to find out the solutions (well, properties and the behaviour of those solutions without actually acquiring the mathematical expression for the solution) of differential equations without actually solving the diff equations. I had an intro course on this in my second year at the university.

regards

marlon

But they have limited application,they can't approximate every diff. eqn.

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a chaos theory application is which way a pencil will fall when balanced on its point.

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arildno

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If I remember correctly, the mathematical study of chaos was brought into the forefront of applied maths when it was pointed out that a typical set of diff.eqs. used in meteorology was inherently chaotic.

Meteorology is a field dominated by classical physics modelling (and no discernible improvement would be found if you were to try a QM or relativistic approach).

Meteorology is a field dominated by classical physics modelling (and no discernible improvement would be found if you were to try a QM or relativistic approach).

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Yes, i once studied the application of numerical calculus in meteorology. More specifically the contribution of Lorentz. This was just an example, in my course, of how this stuff can be used in real life. Look at page 9 and chapter 1.4 of this sitearildno said:If I remember correctly, the mathematical study of chaos was brought into the forefront of applied maths when it was pointed out that a typical set of diff.eqs. used in meteorology was inherently chaotic.

Meteorology is a field dominated by classical physics modelling (and no discernible improvement would be found if you were to try a QM or relativistic approach).

marlon

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