Self-similarity

Source: Wikipedia, the free encyclopedia.

A Koch snowflake has an infinitely repeating self-similarity when it is magnified.
Standard (trivial) self-similarity.[1]

In

straight line
may resemble the whole, further detail is not revealed.

A time developing phenomenon is said to exhibit self-similarity if the numerical value of certain observable quantity measured at different times are different but the corresponding dimensionless quantity at given value of remain invariant. It happens if the quantity exhibits dynamic scaling. The idea is just an extension of the idea of similarity of two triangles.[3][4][5] Note that two triangles are similar if the numerical values of their sides are different however the corresponding dimensionless quantities, such as their angles, coincide.

Peitgen et al. explain the concept as such:

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.[6]

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:

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.[7]

This vocabulary was introduced by Benoit Mandelbrot in 1964.[8]

Self-affinity

A self-affine fractal with Hausdorff dimension=1.8272.

In

.

Definition

A

for which

If , we call X self-similar if it is the only

of Y such that the equation above holds for . We call

a self-similar structure. The homeomorphisms may be

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

Self-similarity in the Mandelbrot set shown by zooming in on the Feigenbaum point at (−1.401155189..., 0)
An image of the Barnsley fern 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

packet switched data traffic patterns seem to be statistically self-similar.[9] 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,

self-affinity, i.e. they appear self-similar when transformed via an appropriate affine transformation for the level of detail being shown.[10] Andrew Lo describes stock market log return self-similarity in econometrics.[11]

Sierpinski triangle
.

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

Close-up of a Romanesco broccoli.

Self-similarity can be found in nature, as well. To the right is a mathematically generated, perfectly self-similar image of a fern, which bears a marked resemblance to natural ferns. Other plants, such as Romanesco broccoli, exhibit strong self-similarity.

In music

  • Strict
    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.[12] In other words, music is self-similar under temporal translation, rather than (or in addition to) under scaling.[13]

See also

References

External links

Self-affinity