Fractals- complex but having minimal entropy?

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Discussion Overview

The discussion revolves around the relationship between fractals and entropy, particularly in the context of information theory. Participants explore whether fractals, which arise from simple iterative processes, can be considered low entropy despite their apparent complexity. The conversation touches on mathematical constructions, information theory, and potential applications in data compression and economic predictions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that fractals can be described with minimal information due to their iterative nature, suggesting a low entropy despite their complexity.
  • Others clarify that entropy is a physical concept, questioning how it relates to fractals and emphasizing the distinction between thermodynamic and information theory entropy.
  • A participant illustrates the concept of low versus high entropy using examples like a chessboard, arguing that fractals, while complex, should also be low entropy due to their simple generation process.
  • Another participant discusses the idea of discovering simple expressions for complex sequences, relating this to fractal compression and its potential applications.
  • There is a side comment questioning the appropriateness of the thread's placement in classical physics, suggesting it may be more suited to a mathematics discussion.
  • A later reply mentions the connection between non-linear dynamics, chaos analysis, and stock market data, indicating a broader interest in the application of fractals in economics.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between fractals and entropy, with no consensus reached on whether fractals can be classified as low entropy. The discussion remains unresolved regarding the implications of this relationship.

Contextual Notes

Participants note the distinction between different types of entropy and the challenges in relating mathematical constructs to physical concepts. The discussion also highlights the potential for applying fractal concepts to data compression and economic predictions, but these ideas remain speculative.

bcrelling
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Fractals are just many iterations of a very basic formula, so they can be described with little information, and yet they are extremely complex given enough iterations.

Can they be described as low entropy despite their complexity?
 
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Fractals are mathematical constructions. Entropy is a physical concept. What do you have in mind when connecting them?
 
mathman said:
Fractals are mathematical constructions. Entropy is a physical concept. What do you have in mind when connecting them?

Ok I should clarify, I'm referring to entropy in the information theory sense of the word, not the thermodymamic sense.

To illustrate the concept, a chess board where the squares on the top half are all black and the bottom half are all white can be described with little information and hence is a low entropy configuration. A chess board where the colour of each square was decided by the toss of a coin would likely be high entropy and take more information to accurately describe.

I ask the question on fractals as fractals are produced by iterations of a simple process and so should be low entropy, and yet they might be viewed as highly complex.
 
You are right that a seemingly complex diagram or sequence can be described by a simple iteration and so therefore contains little information. But there are many seemingly complex sequences or expressions that have a simple basis (for example an lfsr based random number generator). Given to an unknowing stranger, the numbers will seem random, but the person who designed the generator thinks otherwise.

If course, the trick is to be able to do the opposite. Take a complex sequence and then discover a simple way to express it. That would be the goal of fractal compression. http://en.wikipedia.org/wiki/Fractal_compression
 
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meBigGuy said:
You are right that a seemingly complex diagram or sequence can be described by a simple iteration and so therefore contains little information. But there are many seemingly complex sequences or expressions that have a simple basis (for example an lfsr based random number generator). Given to an unknowing stranger, the numbers will seem random, but the person who designed the generator thinks otherwise.

If course, the trick is to be able to do the opposite. Take a complex sequence and then discover a simple way to express it. That would be the goal of fractal compression. http://en.wikipedia.org/wiki/Fractal_compression

That's interesting, I wonder macro economic data could be compressed via this method and then somehow used to predict price changes?
 
Side comment: Why did you post it in classical physics, when it turns out to be more of a mathematics question?
 
mathman said:
Side comment: Why did you post it in classical physics, when it turns out to be more of a mathematics question?

I only saw the options under the physics heading- this forum is bigger than I thought!
 
Non-linear dynamic (chaos) analysis is a trading buzzword I think, and there are all sorts of publications relating stock market data and fractals.
 

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