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Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling http://www.complexityexplorer.org

Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

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Page 1: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

Summary of Unit One

Introduction to Fractals and Dimension

Introduction to Fractals and Scaling

http://www.complexityexplorer.org

Page 2: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Fractals● Self-similar: small parts of the object are

similar to the whole.● This self-similarity extends over many scales●

Page 3: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Self-Similarity Dimension ● No. of small copies = (magnification factor)D

● Ex: No. of small copies = 3, mag factor = 2● D = log(3)/log(2). (approx = 1.585.)

Page 4: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Exponent and Log Review

Page 5: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

“In-between” dimensions● The Koch curve has both 1-dimensional

and 2-dimensional qualities.● Infinite length in a finite area.● The Sierpiński triangle has zero area but

infinite perimeter.●

● "Koch curve" by Fibonacci. - Own work. Licensed under CC BY-SA 3.0 via Wikimedia Commons - https://commons.wikimedia.org/wiki/File:Koch_curve.svg#/media/File:Koch_curve.svg

Page 6: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Dimension and Scaling● Increase in 'size' = (scale factor)D

● Ex: If sphere (3D) is stretched by a factor of two, it is now 8 times larger, since 2^3 = 8.

● The dimension tells you how the size of an object changes as it is scaled up.

Page 7: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Self-Similar and Scale-Free● If an object is self-similar, it is scale free.● Ex: There is no typical size of the bumps in a

Koch curve that sets a scale.● In contrast, there is a typical size to a tomato.● In a fractal, if you were shrunk, you could not

tell, because there are no objects that set a size scale.

(Real fractals are not self-similar forever, the way mathematical fractals are.)

Page 8: Summary of Unit One Introduction to Fractals and Dimension · Summary of Unit One Introduction to Fractals and Dimension Introduction to Fractals and Scaling

David P. Feldman Introduction to Fractals and Scaling http://www.complexityexplorer.org

Fractals “Defined”● Fractals are self-similar across many scales● Are not well-described by classical geometry: circles,

cubes, etc.● Have a self-similarity dimension that is larger than

the topological dimension.● The topological dimension is the 'intuitive' dimension.

There is not an airtight, standard definition of fractal.