Homeomorphisms | Scaling symmetries | Fractals

Self-similarity

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. 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. 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. 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. 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. This vocabulary was introduced by Benoit Mandelbrot in 1964. (Wikipedia).

Self-similarity
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This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com

From playlist Number Sense - Decimals, Percents, and Ratios

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This video explains how to determine if two triangles are similar using SSS and SAS. Complete Video List: http://www.mathispower4u.yolasite.com

From playlist Similarity

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What is the similarity of triangles for SSS

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From playlist Similar Triangles

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Given two similar triangles determine the values of x and y for the angles

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From playlist Similar Triangles

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Using Similarity and proportions to find the missing values

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From playlist Similar Triangles

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What are similar triangles?

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Rachel Skipper: Finiteness properties for simple groups

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Fractals are typically not self-similar

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Related pages

Droste effect | Teragon | Modular group | Non-well-founded set theory | Topological space | Hyperbolic coordinates | Finite set | Homeomorphism | Dynamic scaling | Automorphism | Scale invariance | Teletraffic engineering | Zipf's law | Self-dissimilarity | Poisson distribution | Golden ratio | Tessellation | Counterexample | Mandelbrot set | Self-replication | Iterated function system | Iterated function | Scaling (geometry) | Mathematics | Affine transformation | Similarity (geometry) | Subset | Integer sequence | Compact space | Benoit Mandelbrot | Romanesco broccoli | Self-reference | P-adic number | Koch snowflake | Cantor set | Misiurewicz point | Fractal | Binary tree | Econometrics | Recursion | Monoid