What Do Researchers Study in Classical Mechanics and Chaos Theory?

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SUMMARY

Research in classical mechanics and chaos theory focuses on understanding the properties and behaviors of solutions to differential equations without necessarily solving them. Key concepts include bifurcation theory, Lyapunov exponents, and the chaotic behavior of systems influenced by positive feedback. Chaos theory is widely applicable across various fields, including applied physics and astrophysics, with significant research on optical chaos and chaotic dynamics in semiconductor lasers. The study of chaos has been notably advanced by its applications in meteorology, where inherent chaotic behaviors are observed in typical differential equations.

PREREQUISITES
  • Understanding of differential equations and their properties
  • Familiarity with bifurcation theory and its applications
  • Knowledge of Lyapunov exponents and their significance in chaos theory
  • Basic principles of classical mechanics and feedback systems
NEXT STEPS
  • Explore advanced topics in bifurcation theory and its applications in various systems
  • Study the calculation methods for Lyapunov exponents in chaotic systems
  • Investigate the role of chaos theory in meteorology and its implications for weather prediction
  • Research the applications of chaos theory in optical systems and semiconductor lasers
USEFUL FOR

Researchers, physicists, and students in applied physics, mathematics, and meteorology who are interested in the dynamics of chaotic systems and their real-world applications.

neurocomp2003
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Was wondering if anyone can enlighten me on what people research, when they study classical mechanics & chaos theory? Simple systems? many particle systems? do they code?
 
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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 do not know if you have ever heard of BIFURCATIONS and Bifurcation Theory
I had an intro course on this in my second year at the university.

regards
marlon
 
Any system with feedback will behave chaotically (basically, since positive feedback acts as a sort of memory).

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.
 
coo, thanks 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 a lot or are there very few researchers who use it?
 
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AP = Applied Physics?

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.
 
ap-
astrophys
 
Ah, yes it does turn up in Astrophysics. Here are two examples I have come across.

- 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 Earth's 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.
 
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

Well you are talking about Picard's iteration method,and similar things!
But they have limited application,they can't approximate every diff. eqn.
 
They can study anything you listed. The simplest mechanics problem which has
a chaos theory application is which way a pencil will fall when balanced on its point.
 
  • #10
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).
 
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  • #11
arildno 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).

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 site

marlon
 

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