Dynamic Geomag: Chaos Theory Explained | ||||
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A simple pendulum demonstrates Chaos theory. The pendulum ends in a south magnetic pole, attracted by the four coloured north poles below.
Tags: Dynamic, Geomag, Pendulum, Chaos, Sissi Published: 14 June 2007, 05:52
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Published: 17 March 2010, 00:47
, Edited: 17 March 2010, 00:47
well, the air resistence does not have to be 0, you can demonstrate chaos theory also with normal air resistence ... I really liked the experiment, the whole video is great! I think it took a lot of time to run the experiment ... But I've one question, at least at the computer, shouldn't the result be congruent then? I mean should not be in every corner e.g. a different color then? Published: 13 March 2010, 23:37
, Edited: 13 March 2010, 23:37
This would have to be done in a Zero atmosphere Environment with a preciesly calibrated mechanical arm that brings the Pendulum to the exact same point each time, and the structure must be perfectly built. There are to many variables in this that can cause fluctuations in the outcome therefor it is invalid, But i see what your point is. Published: 13 March 2010, 11:19
, Edited: 13 March 2010, 11:19
What if you try with the exact same positions.. not with a hand shaking. Published: 8 March 2010, 01:01
, Edited: 8 March 2010, 01:01
Should have tried swinging the pendulum from the same start position just to see if the swing affects the odds. Published: 6 March 2010, 13:36
, Edited: 6 March 2010, 13:36
wonderfull Published: 1 March 2010, 01:08
, Edited: 1 March 2010, 01:08
you have to take in the account for the spin of the earth on the real pendulum, the earth will never be in the same spot twice so therefore the pendulum will never have the same result as before. im not trying to say this was wrong or anything im just wondering if that would change anything on the computer program Published: 26 February 2010, 15:10
, Edited: 26 February 2010, 15:10
what program do you use for computer simulation? Published: 25 February 2010, 16:41
, Edited: 25 February 2010, 16:41
Sorry, no, you're wrong and misinforming people. Read up and try again. Published: 25 February 2010, 15:43
, Edited: 25 February 2010, 15:43
And i tought i was good at explaining lol Published: 17 February 2010, 19:56
, Edited: 17 February 2010, 19:56
Not just philosophical, but scientific... Oh my god I'm learning! Published: 17 February 2010, 16:35
, Edited: 17 February 2010, 16:35
Great. Easy to understand, and only true information given, no harmful simplifications. Quite an achievement. Great video. Published: 17 February 2010, 04:54
, Edited: 17 February 2010, 04:54
Really nice demonstration of chaotic system (with later visible attractors around the poles) vicolachips44: the chaotic system is very sensitive to the initial params. You get same result, if you model on a computer with exactly same function input taken (as the calculations are deterministic). I can't image what kind of technology should be used to produce a robot with such a precision (and don't forget about the execution environment :) ) Published: 12 February 2010, 16:18
, Edited: 12 February 2010, 16:18
in quantum mechanics today there is no such thing. Not only is the results always non-deterministic, but also non-causal. That means a particle can (and evidently do) take multiple paths at the same time and interferes with itself, as well as beaves stragnely when examining cause and effect. Quantum mechanics is only ever probabilities; Definite outcomes does not exist. Published: 8 February 2010, 15:20
, Edited: 8 February 2010, 15:20
I y understand what I see is that the human arm is the source of the chaotic result. If you take a robot to do this experiment you might get a none chaotic result. Is that correct ? Thank' s to sissi' s collaboration :) Published: 28 January 2010, 21:14
, Edited: 28 January 2010, 21:14
Wonderful job. Where do you live in? In Italy? Published: 24 January 2010, 06:57
, Edited: 24 January 2010, 06:57
I really doubt quantum mechanics ability to find a theory for 'everything' as such. If they do then maybe they will be able to coordinate a definitive starting point for an experiment, and under certain control measures, render the chaos theory useless. Modern science is succeeding in showing how abstract the world really is. Published: 24 January 2010, 06:42
, Edited: 24 January 2010, 06:42
good explanation Published: 18 January 2010, 21:04
, Edited: 18 January 2010, 21:04
...dude it's almost the calculator 1/4 dived into and they all have same equal amount a same it's just simple, but if you change the spot then different story (because the speed, distances, timing, gravitational(force), and [don't get me wrong] angles) Don't get me wrong sometime if you change the place they were they will might different law order of form. Published: 18 January 2010, 16:12
, Edited: 18 January 2010, 16:12
there is a lot of variables not factored. its not good science. its not even a good anology. Published: 15 January 2010, 17:42
, Edited: 15 January 2010, 17:42
great video. show on tv..guy created a computer programme in order to demonstrate an aspect of chaos theory...evolution. the computer selected the programmes with the best chance of success and "bred" them with similar programmes. after 30 generations the programmes are so advanced their behaviour is nearly impossible to map Published: 12 January 2010, 17:35
, Edited: 12 January 2010, 17:35
Tolles Video, klasse gemacht. Sehr interessant! Published: 10 January 2010, 13:07
, Edited: 10 January 2010, 13:07
this is very interesting...nicely presented Published: 23 December 2009, 18:11
, Edited: 23 December 2009, 18:11
This is an excellent example of the chaotic nature that can arise out of simple deterministic laws. Thank you so much for making this! It seems many posters here confuse the term chaos with the term randomness. Chaos is a part of determinism. Published: 16 December 2009, 14:18
, Edited: 16 December 2009, 14:18
If you repeat the whole experiment thousands of times, that should statistically average out much of the variation from human error, air current, floor vibration etc. and produce for each starting square a statistical probability of finishing on each pole. What you should find is that directly above a pole, the probability of finishing on that pole is 100 percent, but as the starting position is moved outward the probabilities quickly even out to 25 percent for each pole. | |
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