Self-similarity
{{Short description|Whole of an object being mathematically similar to part of itself}}
{{Use dmy dates|date=April 2017}}
Image:KochSnowGif16 800x500 2.gif has an infinitely repeating self-similarity when it is magnified.]]
File:Standard self-similarity.png
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.{{cite journal | title=How long is the coast of Britain? Statistical self-similarity and fractional dimension | journal=Science | date=5 May 1967 | author=Mandelbrot, Benoit B. | pages=636–638 | volume=156 | number=3775 | doi=10.1126/science.156.3775.636 | series=New Series | pmid=17837158 | bibcode=1967Sci...156..636M | s2cid=15662830 | url=http://ena.lp.edu.ua:8080/handle/ntb/52473 | access-date=12 November 2020 | archive-date=19 October 2021 | archive-url=https://web.archive.org/web/20211019193011/http://ena.lp.edu.ua:8080/handle/ntb/52473 | url-status=dead }} [http://users.math.yale.edu/~bbm3/web_pdfs/howLongIsTheCoastOfBritain.pdf PDF] 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. The non-trivial similarity evident in fractals is distinguished by their fine structure, or detail on arbitrarily small scales. As a counterexample, whereas any portion of a straight line may resemble the whole, further detail is not revealed.
Peitgen et al. explain the concept as such:
{{Quote|If parts of a figure are small replicas of the whole, then the figure is called self-similar....A figure is strictly self-similar if the figure can be decomposed into parts which are exact replicas of the whole. Any arbitrary part contains an exact replica of the whole figure.Peitgen, Heinz-Otto; Jürgens, Hartmut; Saupe, Dietmar; Maletsky, Evan; Perciante, Terry; and Yunker, Lee (1991). Fractals for the Classroom: Strategic Activities Volume One, p.21. Springer-Verlag, New York. {{ISBN|0-387-97346-X}} and {{ISBN|3-540-97346-X}}.}}Since mathematically, a fractal may show self-similarity under indefinite magnification, it is impossible to recreate this physically. Peitgen et al. suggest studying self-similarity using approximations:{{Quote|In order to give an operational meaning to the property of self-similarity, we are necessarily restricted to dealing with finite approximations of the limit figure. This is done using the method which we will call box self-similarity where measurements are made on finite stages of the figure using grids of various sizes.Peitgen, et al (1991), p.2-3.}}
This vocabulary was introduced by Benoit Mandelbrot in 1964.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
Self-affinity
Image:Self-affine set.png = 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.
Definition
A compact topological space X is self-similar if there exists a finite set S indexing a set of non-surjective homeomorphisms for which
:
If , we call X self-similar if it is the only non-empty subset of Y such that the equation above holds for . We call
:
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
Image:Feigenbaumzoom.gif shown by zooming in on the Feigenbaum point at (−1.401155189..., 0)]]
Image:Fractal fern explained.png which exhibits affine self-similarity]]
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.{{cite journal|last1=Leland|first1=W.E.|last2=Taqqu|first2=M.S.|last3=Willinger|first3=W.|last4=Wilson|first4=D.V.|display-authors=2|title=On the self-similar nature of Ethernet traffic (extended version)|journal=IEEE/ACM Transactions on Networking|date=January 1995|volume=2|issue=1|pages=1–15|doi=10.1109/90.282603|s2cid=6011907|url=http://ccr.sigcomm.org/archive/1995/jan95/ccr-9501-leland.pdf}} 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.
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.{{cite magazine | url=https://www.scientificamerican.com/article/multifractals-explain-wall-street/ | title=How Fractals Can Explain What's Wrong with Wall Street | author=Benoit Mandelbrot | magazine=Scientific American|
date=February 1999| author-link=Benoit Mandelbrot}} Andrew Lo describes stock market log return self-similarity in econometrics.Campbell, Lo and MacKinlay (1991) "Econometrics of Financial Markets ", Princeton University Press! {{ISBN|978-0691043012}}
Finite subdivision rules are a powerful technique for building self-similar sets, including the Cantor set and the Sierpinski triangle.
Some space filling curves, such as the Peano curve and Moore curve, also feature properties of self-similarity.{{Cite web |last=Salazar |first=Munera |last2=Eduardo |first2=Luis |date=July 1, 2016 |title=Self-Similarity of Space Filling Curves |url=https://repository.icesi.edu.co/items/5f9b8cea-4787-7785-e053-2cc003c84dc5 |url-status=live |archive-url=https://web.archive.org/web/20250313193207/https://repository.icesi.edu.co/items/5f9b8cea-4787-7785-e053-2cc003c84dc5 |archive-date=March 13, 2025 |access-date=March 13, 2025 |website=Universidad ICESI}}
File:RepeatedBarycentricSubdivision.png. 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.
= In nature =
File:Flickr - cyclonebill - Romanesco.jpg]]
{{further|Patterns in nature}}
Self-similarity can be found in nature, as well. Plants, such as Romanesco broccoli, exhibit strong self-similarity.
= In music =
- Strict canons display various types and amounts of self-similarity, as do sections of fugues.
- A Shepard tone is self-similar in the frequency or wavelength domains.
- The Danish composer Per Nørgård has made use of a self-similar integer sequence named the 'infinity series' in much of his music.
- 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.{{cite book |last1=Foote |first1=Jonathan |title=Proceedings of the seventh ACM international conference on Multimedia (Part 1) |chapter=Visualizing music and audio using self-similarity |date=30 October 1999 |pages=77–80 |doi=10.1145/319463.319472 |url=http://musicweb.ucsd.edu/~sdubnov/CATbox/Reader/p77-foote.pdf |url-status=live |archive-url=https://web.archive.org/web/20170809032554/http://musicweb.ucsd.edu/~sdubnov/CATbox/Reader/p77-foote.pdf |archive-date=9 August 2017|isbn=978-1581131512 |citeseerx=10.1.1.223.194 |s2cid=3329298 }} In other words, music is self-similar under temporal translation, rather than (or in addition to) under scaling.{{cite book |last1=Pareyon |first1=Gabriel |title=On Musical Self-Similarity: Intersemiosis as Synecdoche and Analogy |date=April 2011 |publisher=International Semiotics Institute at Imatra; Semiotic Society of Finland |isbn=978-952-5431-32-2 |page=240 |url=https://tuhat.helsinki.fi/portal/files/15216101/Pareyon_Dissertation.pdf |access-date=30 July 2018 |archive-url=https://web.archive.org/web/20170208034152/https://tuhat.helsinki.fi/portal/files/15216101/Pareyon_Dissertation.pdf |archive-date=8 February 2017}} (Also see [https://books.google.com/books?id=xQIynayPqMQC&pg=PA240&lpg=PA240&focus=viewport&vq=%221/f+noise+substantially+as+a+temporal+phenomenon%22 Google Books])
See also
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References
{{Reflist}}
External links
- [http://www.ericbigas.com/fractals/cc "Copperplate Chevrons"] — a self-similar fractal zoom movie
- [http://pi.314159.ru/longlist.htm "Self-Similarity"] — New articles about Self-Similarity. Waltz Algorithm
=Self-affinity=
- {{cite journal|journal=Physica Scripta|volume=32|issue=4|year=1985|pages=257–260|title=Self-affinity and fractal dimension|url=http://users.math.yale.edu/mandelbrot/web_pdfs/112selfAffinity.pdf|doi=10.1088/0031-8949/32/4/001|bibcode=1985PhyS...32..257M|last1=Mandelbrot|first1=Benoit B.|s2cid=250815596 }}
- {{cite journal |last1=Sapozhnikov |first1=Victor |last2=Foufoula-Georgiou |first2=Efi |title=Self-Affinity in Braided Rivers |journal=Water Resources Research |date=May 1996 |volume=32 |issue=5 |pages=1429–1439 |doi=10.1029/96wr00490 |bibcode=1996WRR....32.1429S |url=http://efi.eng.uci.edu/papers/efg_023.pdf |access-date=30 July 2018 |url-status=live |archive-url=https://web.archive.org/web/20180730230931/http://efi.eng.uci.edu/papers/efg_023.pdf |archive-date=30 July 2018}}
- {{cite book|title=Gaussian Self-Affinity and Fractals: Globality, the Earth, 1/F Noise, and R/S|author= Benoît B. Mandelbrot|isbn=978-0387989938|year= 2002|publisher= Springer}}
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