What is the characteristic of a system that turns it into a chaotic system?

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Discussion Overview

The discussion centers on the characteristics that define chaotic systems, particularly in the context of a double pendulum. Participants explore the nature of predictability in chaotic systems and the factors that contribute to chaotic behavior, including nonlinearity and sensitivity to initial conditions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants inquire about the predictability of a double pendulum and the characteristics that lead to chaos.
  • One participant suggests that nonlinearity and specific input conditions are necessary for a system to exhibit chaotic behavior.
  • Another participant notes that small quantitative differences in initial conditions can result in large qualitative differences in behavior, a hallmark of chaotic systems.
  • There is mention of the limitations in predicting future positions in chaotic systems, with a focus on statistical predictions instead.
  • References are made to external resources, including a YouTube channel and a paper on Koopman Theory, which may provide further insights into the statistical approach to dynamical systems.

Areas of Agreement / Disagreement

Participants express various viewpoints on the characteristics of chaotic systems, with no consensus reached on a singular definition or explanation. The discussion remains open-ended with multiple competing ideas presented.

Contextual Notes

Some participants reference specific examples and personal experiences with double pendulums, which may not fully encompass the broader theoretical aspects of chaos. Additionally, the discussion includes technical challenges related to sharing video content, which may distract from the main topic.

Boyphys
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Is there a way to predict the positions of a double pendulum? What is the characteristic of a system that turns it into a chaotic system? I’ve always had this doubt!
 
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https://en.wikipedia.org/wiki/Double_pendulum
1736481615296.png

explains sentitivitiy to initial condition to flip as illustrated above. What kind of doubt do you have ?
 
Boyphys said:
What is the characteristic of a system that turns it into a chaotic system?
Some form of nonlinearity and an appropriate choice of appropriate input conditions (within the chaotic region)
I made a double pendulum and it was predictable until one of the pendulums went 'over the top'. Fascinating. Slo mo makes it more fun. I have tried to put a youtube video on that link. I have to press the re-wind button for the demo to start. Anyone know why?
 
Last edited:
Video not accessible. YouTube states:

Private video
Sign in if you've been granted access to this video
 
Tom.G said:
Video not accessible. YouTube states:

Private video
Sign in if you've been granted access to this video
Thanks for responding - I'll look into it. Never used YouTube to post before
 
@Tom.G . I found the private / public buttons. You may be able to see my handywork now.
 
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sophiecentaur said:
I have to press the re-wind button for the demo to start. Anyone know why?
I think it's the &t=221s at the end of the URL. 221s is 3m41s, which corresponds to the end of the video. Deleting that seems to make it work.

Nice demo.
 
Ibix said:
I think it's the &t=221s at the end of the URL. 221s is 3m41s, which corresponds to the end of the video. Deleting that seems to make it work.

Nice demo.
Correctamundo my boy. Thanks very much. PF is a magic source of cleverness.

So many URLs are a mile long and read like gobbledegook but every character is relevant. It's just a blur to me until someone explains it, piece by piece. I guess it should be a case of RTFM as usual.
 
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Try this link; it seems to work. It's entertaining and takes you by surprise near the end. Just when you think it is dying, the energy from both rods goes into the short one and it does a 360 again.
 
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  • #10
Boyphys said:
What is the characteristic of a system that turns it into a chaotic system?
Small quantitative differences in initial conditions lead to large qualitative differences in behavior.
 
  • #11
For chaotic systems, it's generally only possible to predict statistics of future positions. Steve Brunton's YouTube channel is pretty reliable about this kind of thing as well as being mostly at an Intermediate level, as in this playlist. A look at Brunton's channel will teach almost anybody some cool physics they didn't know.
Brunton and a few coauthors have an Open Access review of Koopman Theory, as one branch of the use of statistics for dynamical systems is now called, "Modern Koopman Theory for Dynamical Systems". Parts of that would have to be called Advanced more than Intermediate, but it's well-written.
 
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  • #12
Peter Morgan said:
"Modern Koopman Theory for Dynamical Systems". Parts of that would have to be called Advanced more than Intermediate, but it's well-written.

Just looked at the paper: very well written and interesting. Well worth a look.
 
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