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How Long Is the Coast of Britain? Statistical Self-Similarity & Fractional Dimension

 

How Long Is the Coast of Britain? Statistical Self-Similarity & Fractional Dimension


How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension is a paper by mathematician Benoît Mandelbrot, first published in Science in 1967. In this paper Mandelbrot discusses self-similar curves that have fractional dimensions between 1 and 2. These curves are examples of fractals, although Mandelbrot does not use this term in the paper, as he did not coin it until 1975.

In the first part of the paper Mandelbrot discusses research published by Lewis Fry Richardson on how the measured lengths of coastlines and other natural geographic borders are dependent on the scale of measurement. Richardson had observed that the measured length L(G) of various country borders was a function of the measurement scale G. Collecting data from several different examples, he conjectured that L(G) could be closely approximated by a function of the form

Mandelbrot interprets this result as showing that coastlines and other geographic borders can have a property of statistical self-similarity, with the exponent D measuring the Hausdorff dimension of the border. With this interpretation, the examples in Richardson's research have dimensions ranging from 1.02 for the coastline of South Africa to 1.25 for the West coast of Britain.

In the second part of the paper Mandelbrot describes various curves, related to the Koch snowflake, which are defined in such a way that they are strictly self-similar. Mandelbrot shows how to calculate the Hausdorff dimension of each of these curves, each of which has a dimension between 1 and 2. He also mentions (but does not give a construction for) the space-filling Peano curve, which has a dimension of 2.

The paper is important because it shows Mandelbrot's early thinking on fractals, and is an example of the linking of mathematical objects with natural forms that was a theme of much of his later work.



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