Self-similarity

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File:KochSnowGif16 800x500 2.gif
A Koch snowflake has an infinitely repeating self-similarity when it is magnified.
File:Standard self-similarity.png
Standard (trivial) self-similarity[1]

In mathematics, a self-similar object is exactly or approximately similar to a part of itself (i.e., the whole has the same shape as one or more of the parts). Many objects in the real world, such as coastlines, are statistically self-similar: parts of them show the same statistical properties at many scales.[2] Self-similarity is a typical property of fractals. Scale invariance is an exact form of self-similarity where at any magnification there is a smaller piece of the object that is similar to the whole. For instance, a side of the Koch snowflake is both symmetrical and scale-invariant; it can be continually magnified 3x without changing shape.

Peitgen et al. explain the concept as such:

Template:QuoteSince mathematically, a fractal may show self-similarity under arbitrary magnification, it is impossible to recreate this physically. Peitgen et al. suggest studying self-similarity using approximations:Template:Quote

This vocabulary was introduced by Benoit Mandelbrot in 1964.[3]

Self-affinity

File:Self-affine set.png
A self-affine fractal with Hausdorff dimension = 1.8272

In mathematics, self-affinity is a feature of a fractal whose pieces are scaled by different amounts in the x and y directions. This means that to appreciate the self-similarity of these fractal objects, they have to be rescaled using an anisotropic affine transformation.Script error: No such module "Unsubst".

Definition

Script error: No such module "Unsubst". A compact topological space X is self-similar if there exists a finite set S indexing a set of non-surjective homeomorphisms {fs:sS} for which [4]

X=sSfs(X)

If XY, we call X self-similar if it is the only non-empty subset of Y such that the equation above holds for {fs:sS}. We call. [5]

𝔏=(X,S,{fs:sS})

a self-similar structure. The homeomorphisms may be iterated, resulting in an iterated function system. The composition of functions creates the algebraic structure of a monoid. When the set S has only two elements, the monoid is known as the dyadic monoid. The dyadic monoid can be visualized as an infinite binary tree; more generally, if the set S has p elements, then the monoid may be represented as a p-adic tree.

The automorphisms of the dyadic monoid is the modular group; the automorphisms can be pictured as hyperbolic rotations of the binary tree.

A more general notion than self-similarity is self-affinity.

Examples

File:Feigenbaumzoom.gif
Self-similarity in the Mandelbrot set shown by zooming in on the Feigenbaum point at (−1.401155189..., 0)
File:Fractal fern explained.png
An image of the Barnsley fern which exhibits affine self-similarity

The Cantor discontinuum is self-similar since any of its closed subsets is a continuous image of the discontinuum.[6]

The Mandelbrot set is also self-similar around Misiurewicz points.

Self-similarity has important consequences for the design of computer networks, as typical network traffic has self-similar properties. For example, in teletraffic engineering, packet switched data traffic patterns seem to be statistically self-similar.[7] This property means that simple models using a Poisson distribution are inaccurate, and networks designed without taking self-similarity into account are likely to function in unexpected ways.Script error: No such module "Unsubst".

Similarly, stock market movements are described as displaying self-affinity, i.e. they appear self-similar when transformed via an appropriate affine transformation for the level of detail being shown.[8] Andrew Lo describes stock market log return self-similarity in econometrics.[9]

Finite subdivision rules are a powerful technique for building self-similar sets, including the Cantor set and the Sierpinski triangle.Script error: No such module "Unsubst".

Some space filling curves, such as the Peano curve and Moore curve, also feature properties of self-similarity.[10]

File:RepeatedBarycentricSubdivision.png
A triangle subdivided repeatedly using barycentric subdivision. The complement of the large circles becomes a Sierpinski carpet

In cybernetics

The viable system model of Stafford Beer is an organizational model with an affine self-similar hierarchy, where a given viable system is one element of the System One of a viable system one recursive level higher up, and for whom the elements of its System One are viable systems one recursive level lower down.Script error: No such module "Unsubst".

In nature

File:Flickr - cyclonebill - Romanesco.jpg
Close-up of a Romanesco broccoli

Script error: No such module "labelled list hatnote". Self-similarity can be found in nature, as well. Plants, such as Romanesco broccoli, exhibit strong self-similarity.Script error: No such module "Unsubst".

In music

  • Strict canons display various types and amounts of self-similarity, as do sections of fugues.Script error: No such module "Unsubst".
  • A Shepard tone is self-similar in the frequency or wavelength domains.Script error: No such module "Unsubst".
  • The Danish composer Per Nørgård made use of a self-similar integer sequence named the infinity series in much of his music.Script error: No such module "Unsubst".
  • In the research field of music information retrieval, self-similarity commonly refers to the fact that music often consists of parts that are repeated in time.[11] In other words, music is self-similar under temporal translation, rather than (or in addition to) under scaling.[12]

See also

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References

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External links

Self-affinity

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  1. Mandelbrot, Benoit B. (1982). The Fractal Geometry of Nature, p.44. Template:ISBN.
  2. Script error: No such module "Citation/CS1". PDF
  3. Comment j'ai découvert les fractales, Interview de Benoit Mandelbrot, La Recherche https://www.larecherche.fr/math%C3%A9matiques-histoire-des-sciences/%C2%AB-comment-jai-d%C3%A9couvert-les-fractales-%C2%BB
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  6. Kazimierz Kuratowski (1972) Leo F. Boron, translator, Introduction to Set Theory and Topology, second edition, ch XVI, § 8 The Cantor Discontinuum, page 210 to 15, Pergamon Press
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  9. Campbell, Lo and MacKinlay (1991) "Econometrics of Financial Markets ", Princeton University Press! Template:ISBN
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