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2.6 Self-Similarity Dimension

A fractal is self-similar. But it is not true, that if an object is self-similar, then it is fractal. Consider the line, square and cube in fig. 6. Each of them is broken into small copies of themselves reduced by a scaling factor [8].

Figure 6: Euclidean objects

The relation between the number of rescaled objects and the reduction factor is a power law:

is the self-similarity dimension. for the line, for the square and for the cube. They are identical with their Hausdorff-Besicovitch dimension . Furthermore they are equal to the topological dimension . Thus they are not fractal.

The Cantor set (fig. 7 top) is generated by removing the middle third of a line. From the remaining lines the middle thirds are removed again. Continuing this removal infinitly often one gets the Cantor set. It consists of an uncountable infinite number of points which are all disconnected. Thus the topological dimension is .

Figure 7: Fractals

A similar procedure leads to the Sierpinski gasket (fig. 7 center), where a rescaled triangle is removed from the middle of the original triangle. Repeating this procedure one gets the Sierpinsky gasket in the limit, which is a line and has topological dimension of .

The construction of the Peano curve (fig. 7 bottom) starts with a line. In each step one line segment is replaced by line segments scaled down by a factor of . In the limit one gets a line with topological dimension .

Equ. (9) also holds for the objects in fig. 7. Resolving for the self-similarity dimension becomes:

The self-similarity dimensions of the objects in fig. 7 are equal to their Hausdorff-Besicovitch dimensions and exceed their topological dimensions. Hence they are fractals.

The fractal dimension of the Cantor set is and lies between and . So its more than a normal set of points but less than a line. The Sierpinski gasket with fractal dimension is more than a line but less than a surface, since its fractal dimension lies between and .

As depicted by the Peano curve the Hausdorff-Besicovitch dimension of a fractal doesn't have to be noninteger. The curve has an integer dimension . Actually it is area-filling.

The fractal dimension of the Koch curve in sect. 2.5 can be determined in the same way. In each step new line segments are generated which are rescaled by a factor (see fig. 4). Hence the fractal dimension is .

There is another difference between Euclidean objects and fractals. The scaling factor of Euclidean objects can be choosen arbitrary (see fig. 6), while it is fixed for fractals (see fig. 7).



Next: 3 Estimating the Fractal Up: 2 Dimensions of Fractals Previous: 2.5 Fractals and Self-Similarity


R. Kraft