Is fractal nature dependent on the number of steps?

Click For Summary

Discussion Overview

The discussion revolves around the nature of fractals, specifically whether their characteristics depend on the number of steps taken in their generation. Participants explore definitions of fractals, the implications of finite versus infinite processes, and the relationship between mathematical models and physical representations of fractals.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether a finite number of steps in evaluating a fractal algorithm can still yield a fractal, suggesting that fractal nature may disappear when extended to infinity.
  • Another participant rephrases the question to consider if true fractals exist in nature or if the term has become loosely defined.
  • A participant introduces L-systems as a method for modeling fractal-like structures, noting that they can only approximate true fractals.
  • There is a discussion about the Barnsley fern and its relation to natural ferns, with some arguing that physical objects can only be "fractal-like" rather than true fractals due to limitations in self-similarity at all scales.
  • One participant emphasizes that the inability to measure down to an arbitrary precision does not invalidate mathematical models of fractals.
  • A participant offers an informal definition of fractals, suggesting that dimensions like 1.5 indicate a structure that is neither a line nor a surface, and questions how methods would fail to give fractional dimensions in the limit.
  • There is a suggestion that the discussion touches on philosophical aspects of science, prompting a shift in the thread's focus.

Areas of Agreement / Disagreement

Participants express differing views on the definition and existence of true fractals, the implications of finite versus infinite processes, and the relationship between mathematical models and physical representations. No consensus is reached on these issues.

Contextual Notes

Participants highlight limitations in definitions and measurements, particularly regarding self-similarity and the abstraction of fractals compared to physical objects. The discussion remains open-ended with unresolved questions about the nature of fractals.

nomadreid
Gold Member
Messages
1,772
Reaction score
255
In looking at the definition of a Hausdorff dimension of a space S =
inf{d>0: inf{Σirid: there is a cover of S by balls with non-zero radii} =0}
where i ranges over a countable set, it would appear that it would be acceptable to take the index set to be finite, but I am not sure how you would then get a zero infimum.

The motivation for the question (and thereby a second question) is as follows: whether a finite number of steps in evaluating a fractal algorithm is acceptable. If so, there could be a situation where a process generates a fractal if it stops before the infinite number of steps, but its fractal nature disappears when taken out to infinity if one of the requirements to be a fractal is to have a non-integer fractal dimension. , but remains a fractal if a fractal is only required to be an irregular shape that can be divided into parts in such a manner that the shape of each part resembles the shape of the whole. (For example: a Penrose tiling decomposition has a non-integer Hausdorff dimension for a construction of a finite number of steps, but at infinity it becomes a space-filling curve with the Hausdorff dimension of 2.)

The latter definition would make it seem that a single step would be sufficient, but the zero infimum requirement would seem to nix that. I am not sure if there is an accepted definition of a fractal; the allowance for a finite number of steps certainly allows one to classify finite objects as fractals, but on the other hand it goes against the grain if one wishes the fractal to be a fixed point of a scaling self-similarity. So, the verdict: is a space-filling curve's fractal nature a function of the number of scalings before self-similarity stops?
 
Last edited by a moderator:
Mathematics news on Phys.org
Or, to rephrase simply: is it correct to say that, strictly, in nature there are no true fractals? Or has the word "fractal" come to be more loosely defined?
 
Do you know about L-systems? They model fern fronds, for example. So I am not getting what you are saying. Seems to me you are saying something akin to: 'there are no differential equations in physical matter'. Do I understand correctly?
L is for Lindenmayer IIRC.
See: https://en.wikipedia.org/wiki/L-system lots of nice graphics, too. L-system Hausdorff dimensions are between 3 and 4 - I think.

Check out the Barnsley fern.
 
  • Like
Likes   Reactions: epenguin and nomadreid
Thanks for the reply, jim mcnamara. As I understand it from your reference, L-systems are computer systems which can carry through the recursion up to a finite limit, and so, in the words of your link, "fractal-like", so the products are not actually fractals. The Barnsley fern does not exist in nature; there are natural ferns that approximate them. Likewise, when one says that a cauliflower or broccoli or the coast of England has a non-integer Hausdorff dimension, one means that they are good approximations to a fractal with this dimension. Similarly, physical objects can be "fractal-like" solutions to differential equations , but to be a fractal (as I understand it, but I am posting this to get any false impression corrected), one would need to get the self-similarity down at all scales; otherwise the figure is only approximately self-similar. Complete self-similarity does not exist in our measurements of physical objects. That is, a fractal (by the definition in my original post) is an abstraction, just as "pi" is. The value of the ratio of circumference to diameter in physical measurements can at best be an approximation to pi; similarly to fractals. Or is my definition wrong?
 
The point I am trying to make, badly, is: just because we cannot measure something down to some arbitrary ##\epsilon## does not invalidate mathematical models. Modern math first came to be in order to explain the physical world, to model some physical entity or process. Works amazingly well.

IMO, the the model of Asplenium M. Barnsley that produced models an Asplenium adiatum-nigrum frond well.
https://en.wikipedia.org/wiki/Asplenium_adiantum-nigrum
https://en.wikipedia.org/wiki/Barnsley_fern
 
  • Like
Likes   Reactions: Klystron
An informal definition of a fractal of dimension , say, 1.5 is that it is not quite like a line but not a surface either. Ditto for the case between 0 and 1. I don't see how the method would fail in the limit to give e.g the Cantor set a fractional dimension.
 
  • Like
Likes   Reactions: Klystron
Hmm. I think we are on the fringe of Philosophy of Science. My perception. So let's move the thread to Discussion.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 26 ·
Replies
26
Views
5K
  • · Replies 3 ·
Replies
3
Views
933
  • · Replies 61 ·
3
Replies
61
Views
10K
  • · Replies 1 ·
Replies
1
Views
5K