💾 Archived View for tilde.team › ~smokey › fractal_compendium › faq › fractal-dimension.gmi captured on 2024-08-18 at 22:38:13. Gemini links have been rewritten to link to archived content

-=-=-=-=-=-=-

Fractal dimension

What is fractal dimension? How is it calculated?

A common type of fractal dimension is the Hausdorff-Besicovich Dimension, but there are several different ways of computing fractal dimension.

Roughly, fractal dimension can be calculated by taking the limit of the quotient of the log change in object size and the log change in measurement scale, as the measurement scale approaches zero. The differences come in what is exactly meant by "object size" and what is meant by "measurement scale" and how to get an average number out of many different parts of a geometrical object. Fractal dimensions quantify the static *geometry* of an object.

For example, consider a straight line. Now blow up the line by a factor of two. The line is now twice as long as before. Log 2 / Log 2 = 1, corresponding to dimension 1. Consider a square. Now blow up the square by a factor of two. The square is now 4 times as large as before (i.e. 4 original squares can be placed on the original square). Log 4 / log 2 = 2, corresponding to dimension 2 for the square. Consider a snowflake curve formed by repeatedly replacing ___ with _/\_, where each of the 4 new lines is 1/3 the length of the old line. Blowing up the snowflake curve by a factor of 3 results in a snowflake curve 4 times as large (one of the old snowflake curves can be placed on each of the 4 segments _/\_). Log 4 / log 3 = 1.261... Since the dimension 1.261 is larger than the dimension 1 of the lines making up the curve, the snowflake curve is a fractal.

For more information on fractal dimension and scale, access via the WWW http://life.anu.edu.au/complex_systems/tutorial3.html .

Fractal dimension references:

[1] J. P. Eckmann and D. Ruelle, _Reviews of Modern Physics_ 57, 3 (1985),pp. 617-656.

[2] K. J. Falconer, _The Geometry of Fractal Sets_, Cambridge Univ. Press, 1985.

[3] T. S. Parker and L. O. Chua, _Practical Numerical Algorithms for Chaotic Systems_, Springer Verlag, 1989.

[4] H. Peitgen and D. Saupe, eds., _The Science of Fractal Images_, Springer-Verlag Inc., New York, 1988. ISBN 0-387-96608-0. This book contains

many color and black and white photographs, high level math, and several

pseudocoded algorithms.

[5] G. Procaccia, _Physica D_ 9 (1983), pp. 189-208.

[6] J. Theiler, _Physical Review A_ 41 (1990), pp. 3038-3051.

References on how to estimate fractal dimension:

1. S. Jaggi, D. A. Quattrochi and N. S. Lam, Implementation and operation of

three fractal measurement algorithms for analysis of remote-sensing data.,

_Computers & Geosciences_ 19, 6 (July 1993), pp. 745-767.

2. E. Peters, _Chaos and Order in the Capital Markets_, New York, 1991. ISBN

0-471-53372-6 Discusses methods of computing fractal dimension. Includes

several short programs for nonlinear analysis.

3. J. Theiler, Estimating Fractal Dimension, _Journal of the Optical Society

of America A-Optics and Image Science_ 7, 6 (June 1990), pp. 1055-1073.

There are some programs available to compute fractal dimension. They are listed in a section below (see "Fractal software").

What is topological dimension?

Topological dimension is the "normal" idea of dimension; a point has topological dimension 0, a line has topological dimension 1, a surface has topological dimension 2, etc.

For a rigorous definition:

A set has topological dimension 0 if every point has arbitrarily small neighborhoods whose boundaries do not intersect the set.

A set S has topological dimension k if each point in S has arbitrarily smallneighborhoods whose boundaries meet S in a set of dimension k-1, and k is the least nonnegative integer for which this holds.