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| Q4a: | What is fractal dimension? How is it calculated? |
| A4a: | 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, via the WWW |
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Fractals and Scale (by David G. Green) |
http://life.csu.edu.au/complex/tutorials/tutorial3.html |
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Fractal dimension references: |
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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. |
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References on how to estimate fractal dimension: |
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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. |
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There are some programs available to compute fractal dimension. They are |
listed in a section below (see | Q22 | "Fractal software"). |
|
Reference on the Hausdorff-Besicovitch dimension |
A clear and concise (2 page) write-up of the definition of the |
Hausdorff-Besicovitch dimension in MS-Word 6.0 format is available in zip |
format. |
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hausdorff.zip (~26KB) |
http://www.newciv.org/jhs/hausdorff.zip |
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| Q4b: | What is topological dimension? |
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| A4b: | 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 |
small neighborhoods whose boundaries meet S in a set of dimension k-1, and k |
is the least nonnegative integer for which this holds. |
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