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Self-Similarity Some examples
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Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Dec 14, 2015

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Page 1: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Self-Similarity

Some examples

Page 2: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Self-Similarity in the Koch Curve

Fractals usually possess what is called self-similarity across scales.

That is, as one zooms in or out the geometry/ image has a similar (sometimes exact)

appearance.

Page 3: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Self-Similarity in the Mandelbrot Set

Page 4: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.
Page 5: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.
Page 6: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Self-similarity in Nature

Page 7: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Natural: A picture of a fernHow do plants do it?

Mathematical: plant growth as simulated by a simple iterative procedure.

Page 8: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.
Page 9: Self-Similarity Some examples. Self-Similarity in the Koch Curve Fractals usually possess what is called self-similarity across scales. That is, as one.

Is this a large piece of rugged terrain photographed from an aeroplane, or the side of a mountain, or a patch of dirt on the scale of a few meters, or a magnification of the surface of a rough rock?

Whichever it is, it could also easily be imagined to be any one of the others. So one could start at the large scale view from the air and apply successive zooms down to a microscopic scale, the surface maintains self similarity across those scales.