Physically relevant: fractals, phi?

In summary, the conversation discusses two subjects that are often associated with physical examples, but not all of them seem relevant. The first subject is phi (the Golden ratio), which has physical examples such as sunflowers and pineapples, but also more indirect and forced examples such as in electron's magnetic moment and in models for Fibonacci anyons. The second subject is fractals, which have forced examples like the fractal dimension of galaxy distribution and self-similar examples like the Weierstrass function. The conversation raises the question of whether these two subjects have direct physical importance or are merely curiosities. It also touches on the origins and nature of mathematics and how it relates to fields like computer coding.
  • #1
nomadreid
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There are two subjects which pop up a lot as having physical examples (or, more precisely, where their approximations have), but many (not all) of them seem rather indirect or forced. For example:

[1] phi (the Golden ratio) or 1/phi:

(a) trivia: sunflowers and pineapples giving the first few members of the Fibonacci series, which when taken to infinity gives ratios whose limit is phi
(b) forced: the ratio of an electron's magnetic moment to its spin angular momentum
(c) hypothetical: in models for Fibonacci anyons.
(d) indirect: phi is used to construct Penrose tilings, which are put into equivalence classes, upon which a groupoid C*-algebra is formed, upon which several other structures are formed, which gives a non-commutative algebra which resembles some aspects of quantum systems. Alternatively, the tilings are used as an example of the principles of 3D quasicrystals.

[2] Fractals:

(a) forced: the fractal dimension of galaxy distribution
(b) OK: applications of chaos theory
(c) self-similarity: hey, a straight line is self-similar, that doesn't make it a fractal.
(d)indirect: The Weierstrass function killing assumptions about differentiability being nowhere differentiable, or as or the Voronin universality theorem giving nice approximations to ... ah, wait, that's pure mathematics, which of course has indirect ties to physics, but...

So, are these two subjects really much directly of physical importance, or merely a couple of curiosities?
 
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  • #2
I don't know the answers to your question but it again raises the question of where Maths comes from and what it actually is. Even down to the question "What is the 'two-ness' of two bottles or two metres?" that makes us able to do similar calculations with them. Interestingly, Computer Coding has made us think about stuff like this when we very well not have found the need, before, to discuss types of variable.
 

1. What are fractals?

Fractals are geometric figures or objects that exhibit self-similarity at different scales. This means that as you zoom in on a fractal, you will see smaller copies of the same pattern.

2. How are fractals physically relevant?

Fractals are physically relevant because they can be found in many natural and man-made systems, such as coastlines, clouds, trees, and even the human body. They can also be used to model complex and chaotic systems, making them useful in various scientific fields.

3. What is phi in relation to fractals?

Phi, also known as the golden ratio, is a mathematical constant that is often found in natural patterns and structures, including fractals. It is approximately equal to 1.618 and is believed to represent beauty and harmony in nature.

4. Can fractals be used to understand the structure of the universe?

Fractals have been used to model and understand the structure of the universe, particularly in the study of cosmology and the distribution of matter in the universe. They have also been used to simulate the formation of galaxies and clusters of galaxies.

5. How are fractals relevant in modern technology?

Fractals have many practical applications in modern technology, such as in computer graphics and image compression. They are also used in the design of antennas, computer networks, and even in the stock market to predict market trends.

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