It's 2017 and there are still no good methods to analyze chaotic systems

It's 2017 and there are still no good methods to analyze chaotic systems.

What is holding us back?

Other urls found in this thread:

researchgate.net/publication/45882626_Spread_polynomials_rotations_and_the_butterfly_effect
twitter.com/SFWRedditVideos

Philosophy of Chaos hasn't advanced in over 100 years.

Do you mean the chaos theory or something else?

Mere humans aren't meant to understand chaos.

Too much complexity. We are just primates after all.

Humans can't handle chaos. That's why we're obsessed with looking for patterns that make sense. Laws that are consistent. Order that doesn't exist. We're all essentially so traumatized by reality that we've convinced ourselves that things do make sense.

I don't know dude.

...

Not an argument.

Three body problems are hard enough as it is. Trying to deal with things like plasma is really really pushing it beyond our capabilities. I guess we need better modeling systems as well as vastly more powerful computers.

What if we tried harder to understand?

What is chaotic about that picture?

>Chaos turns to understanding from the centre to the edge

We understand chaos pretty well, the general problem is finding the exact initial conditions from which the pattern emerges.

Is that book any good?

Finding exact initial conditions can't be done though.

Chaos theory is thoroughly researched and gave everything it needed to give.
It's not that strong of a theory to tackle problems like turbulence for example.
I think complexity related research is the new thing to look at.

>
>What is Lyapunovs exponent
>What is the limit of parameter values where bifurcations happen

Lyapunovs exponent doesn't tell you much in most real world applications.
There was an interesting application of it in predicting epilepsy attacks though.

Consider spread polynomials to model the increasing complexity that arises out of rational trigonometry

researchgate.net/publication/45882626_Spread_polynomials_rotations_and_the_butterfly_effect

GTFO normie

I want proof.

>real world applications

Are you gay?

>no good methods to analyze chaotic systems.
thats because its called nonlinear dynamics, pleb

1. The inability of a computer to write an infinitely large, accurate floating point number
2. Uncertainty principle
3. Measurement technology and accuracy/precision problems

>Not an argument.
Not an argument.

>1. The inability of a computer to write an infinitely large, accurate floating point number

What about calculating the digits of pi?

Chaos is chaotic because it resists methodological analysis. It's not really surprising.

What if we torture the chaotic data until it yields?

>It's 2017 and there are still no good methods to analyze chaotic systems.

Around 2006 or so I heard chaos described as the part of turbulence that we understand and can adequately characterize. I think the guy who said it knew what he was talking about and, as a matter of semantics, I agree

>Humans can't handle chaos.
Especially not the kind that do well at math and science.
Same goes for QM.

Who would win?

>humans cant understand chaos
>what is chaotic about that picture?
> W E W
> E
> W

Maybe you can't handle chaos. I can.