How long is the coast?
Lewis Fry Richardson was a British meteorologist and a Quaker, a conscientious objector in the First World War, who spent much of his life asking an unfashionable question: what causes war? He gathered numbers on wars, and one of his ideas was that the chance of war between two countries might depend on how long their shared border is. To test it he needed the lengths of borders, and he found a problem. Atlases disagreed. The border between Spain and Portugal was 987 kilometers in one source and 1,214 in another. Between the Netherlands and Belgium the figures were 380 and 449. (Which country gave which number is reported both ways, so it is left unsaid here.) The disagreement was not carelessness. When he laid dividers of different openings along a map, he found that the shorter the divider, the longer the border, and the rate of growth was a regular one that differed from one frontier to the next. His results were published after his death, in 1961, in an appendix to the book Statistics of Deadly Quarrels.
In 1967 the mathematician Benoit Mandelbrot, then at IBM, read Richardson’s data differently. His paper in Science, “How long is the coast of Britain? Statistical self-similarity and fractional dimension” (5 May 1967), opens with a claim that sounds like a riddle: geographical curves, he wrote, are infinite or, rather, undefinable in length. The reason is that a coast has detail at every scale. A ruler of 100 kilometers skips every bay and peninsula smaller than itself. A ruler of 50 kilometers follows some of them, and the total grows. Mandelbrot proposed that the length depends on the ruler in a regular way, the way a power of the ruler’s length does, and that the exponent is a kind of dimension. From Richardson’s figures he quoted values of about 1.25 for the west coast of Britain, 1.15 for the German land frontier, 1.14 for the Portuguese frontier, 1.13 for the coast of Australia, and 1.02 for the coast of South Africa, which is smooth. A dimension of 1 is an ordinary line, and the rougher the coast, the more it exceeds 1.
Walk a coast with a ruler
A rough curve, built by a rule so that every stretch of it is rough at every scale, is measured by stepping a ruler along it. Shorten the ruler and watch the measured length grow. The right-hand graph plots each measurement on logarithmic axes: the points fall on a line, and the slope of that line gives a dimension.
The dimension estimated here is about 1.28; the curve was built to have a dimension near 1.26. Tick the box to compare with a smooth curve, whose measured length settles at a fixed value however small the ruler.
Real coasts show the same effect in official statistics. The 1975 tabulation by the US agency NOAA (repeated in the Census Bureau’s statistical abstract) lists a “general coastline” for the United States of 12,383 miles, taken from small-scale maps, and a “tidal shoreline” of 88,633 miles, which includes bays, sounds, offshore islands, and tidal rivers measured on large-scale charts. It is the same country, and the second number is about seven times the first. Alaska alone is 6,640 miles of general coastline and 33,904 of shoreline. A 2021 NOAA tabulation at a still finer scale gives 221,923 miles, which the agency says is not an official figure. China’s official figures are about 18,000 kilometers of mainland coast and about 14,000 kilometers around its islands, together about 32,000. Each of those numbers is correct for its method, and none is “the” length.
Monsters, and a dimension
Mandelbrot’s riddle had a long mathematical prehistory, and its first chapters were told with some embarrassment. In 1872 Karl Weierstrass showed the Berlin Academy a function that is continuous everywhere and has no tangent anywhere, a curve with no smooth place on it. In 1883 Georg Cantor described a set built by removing the middle third of a line segment, then the middle thirds of what remains, forever: a dust of points that is nothing and not quite nothing. Giuseppe Peano drew a curve in 1890 that passes through every point of a square. In 1904 the Swedish mathematician Helge von Koch gave the simplest picture of all, the curve that bears his name. Wacław Sierpiński’s triangle followed in 1915, and in 1918 or 1919 Felix Hausdorff gave a precise meaning to a dimension that need not be a whole number. Gaston Julia and Pierre Fatou studied the strange sets produced by iterating a simple formula in the complex plane in the same years.
Mathematicians called these curves “pathological,” and sometimes worse. In a letter of 1893 Charles Hermite wrote that he turned away “with fear and horror” from functions with no derivatives. Henri Poincaré wrote, in an essay of 1906, that logic sometimes breeds monsters. They were treated as counterexamples, useful for showing what a theorem could not claim, and not as pictures of anything real.
The way into dimension is by scaling. Cut a line segment into three equal pieces and each piece is a copy of the whole at one third the size: three copies, scale factor three. Cut a square into nine squares and each is a copy at one third the width: nine copies, scale factor three. If N copies, each smaller by a factor s, rebuild the whole, the dimension is the number D for which N = sD, that is, D = log N ÷ log s. A line gives D = 1 and a square gives D = 2. Now try the Koch curve. Each step replaces a segment by four segments, each a third as long, so N = 4 and s = 3, and D = log 4 ÷ log 3, which is about 1.26. The curve is more than a line and less than a surface. The Cantor dust, with two copies at a third the size, has dimension log 2 ÷ log 3, about 0.63, less than a line and more than a point. Sierpiński’s triangle, three copies at half the size, has dimension about 1.58.
Copies and scale
Choose a shape, then build it up one step at a time. The text works out how many copies at what reduced size rebuild the whole, and the dimension that follows from N = sD.
This is the “similarity dimension,” which fits shapes that are exactly self-similar. For a real coastline, which is only roughly similar to itself, the dimension is estimated from measurements like the ones in the previous activity.
Mandelbrot had been born in Warsaw in 1924. His family moved to Paris in 1936 and, with the war, to the small town of Tulle in 1939, and he studied at the École Polytechnique under Julia and Paul Lévy, then at Caltech, and received his doctorate in Paris in 1952. After a year at the Institute for Advanced Study, as John von Neumann’s last postdoctoral student, he joined IBM’s Thomas J. Watson Research Center in 1958 and stayed for 35 years; he taught at Yale from 1987. At IBM he worked on problems no one else had a name for: noise on telephone lines, the flooding of the Nile, the prices of cotton. He read widely in forgotten corners of mathematics. In Gleick’s book Chaos he says he started looking in “the trash cans of science,” and the pathological curves were there. In 1975 he coined the word fractal, from the Latin fractus, “broken” (the story is that he found it in his son’s Latin dictionary), in a French book, and in 1982 he published The Fractal Geometry of Nature, which opens by saying that clouds are not spheres and mountains are not cones. He received the Wolf Prize in Physics in 1993, and in 2003 the Japan Prize, shared with James Yorke. He died in Cambridge, Massachusetts, in 2010.
The image that made fractals famous, the Mandelbrot set, is built from a one-line rule, z → z² + c, started from z = 0: a point c belongs to the set if the numbers it generates stay bounded. The first computer pictures of it were drawn by Robert Brooks and Peter Matelski in 1978, and Mandelbrot made his own at IBM on 1 March 1980. In 1982 Adrien Douady and John Hubbard proved that the set is a single connected piece, something Mandelbrot had asked about. Mandelbrot conjectured that the boundary of the set has dimension 2, and Mitsuhiro Shishikura proved it in 1998. Whether the set is “locally connected” is still unknown.
Where nature is fractal, and where it stops
It is tempting to say that everything in nature is fractal, and Mandelbrot himself encouraged the thought. The honest version is narrower. A real object is rough over a limited range of scales, from the size of the whole down to some small size at which the structure ends. In 1998 David Avnir and colleagues asked in Science whether the geometry of nature is fractal, and they looked at published papers that claimed a fractal pattern. In their follow-up letter, they reported that the claimed scaling, in 96 papers, spanned only about one and a half orders of magnitude on average, a factor of about 30 between the smallest and largest size. That is a long way from the infinite self-similarity of the Koch curve. A 2021 analysis of the coast of Australia likewise found fractal scaling only down to a lower limit of about one kilometer.
Within its range, fractal geometry does describe real things well, and the examples are beautiful. A Romanesco cauliflower is built from cones within cones. A 2021 study in Science by Azpeitia and colleagues explained why: the flower buds of the plant fail to open into flowers but keep a memory of the flowering state, so each bud makes more buds, in nested spirals over several scales (they stop where the buds become too small to form). River networks follow regular branching laws found by Robert Horton in 1945 and Arthur Strahler in 1952, with each stream typically joined by three to five smaller ones, and fractal dimensions of around 1.5 to 1.7 have been estimated. The branching tubes of the human lung divide about 23 times on average, ending in some 480 million air sacs (estimates range from 274 to 790 million). The surface area of those sacs is often said to be the size of a tennis court. The number is actually uncertain: published estimates run from 23 to 180 square meters, the physiologist who did the classic measurements gave 150 to 180 in 1980 and 130 in 2009, and a recent review calls the tennis-court comparison “not factually based,” since a singles court is 196 square meters. Course 15 tells how the branching of such networks bears on how metabolism scales with body size.
The lecture offers one more example: the saw-toothed joints between the bones of a mammal’s skull. These sutures are indeed intricate. Engineers have shown that the geometry of a suture affects how well it carries and absorbs loads, and in a 1990 study of goat skulls the sutures absorbed 16 to 100 percent more energy per unit of volume than bone did. Researchers have also measured the fractal dimension of human and rodent sutures, with values above 1 and up to 1.4 or more. Whether a higher dimension means better protection is not established, and a 2021 modeling study found that adding a third level of complexity did not improve stiffness or strength over two.
Closer to home
The coastline paradox is not an academic curiosity for the two countries this course is written for. The United States reports 12,383 miles of general coastline or 88,633 miles of tidal shoreline, depending on how it is drawn, and China about 18,000 kilometers of mainland coast; the estimate you get is the one your ruler gives you. Anyone who has visited a classical garden in Suzhou has walked a path that is much longer than the straight distance between its ends. Nine of the city’s gardens are on the UNESCO World Heritage list (inscribed in 1997 and extended in 2000). The Humble Administrator’s Garden (拙政园), begun in the early sixteenth century (sources give 1509 or 1513), uses winding paths and the technique of 借景 (jièjǐng), “borrowed scenery,” described in Ji Cheng’s garden manual of 1631, in which a distant pagoda is made part of the view. The garden is not a fractal, and nobody has measured it as one; but the lesson of the coast, that how far apart two places are depends on how you move between them, is the same.
The American painter Jackson Pollock gives the other well-known fractal story. In 1999 the physicist Richard Taylor and colleagues reported in Nature that the paint patterns in Pollock’s drip paintings show fractal scaling, and later proposed using it to tell real Pollocks from fakes. It is a good example of the limits of the idea, and we return to it below.
Another view
The most useful caution is that “fractal” describes a measured property over a measured range, not a quality of everything rough. The Pollock case shows it. In 2006 Katherine Jones-Smith and Harsh Mathur argued in Nature that the paintings show fractal behavior over too small a range, less than two orders of magnitude for each of two power laws, and that a simple freehand sketch passes the published test, while a computer-generated random walk shows the same kind of scaling. In 2009 they and Lawrence Krauss concluded that such criteria provide no information about artistic authenticity. Taylor disagreed. Whether fractal analysis can authenticate a painting is contested, and no consensus has emerged.
Fractal ideas are also used in finance, and they too deserve a measured account. In 1963 Mandelbrot argued that cotton prices vary far more wildly than the bell curve allows, and proposed a family of distributions with infinite variance. Economists such as Eugene Fama replied. What survived is partly his point and partly theirs: price changes do have “fat tails,” with a power law of exponent close to three (Gopikrishnan and colleagues, 1999), and volatility comes in clusters, but the infinite-variance model is rejected. On 19 October 1987 the Dow fell 22.6 percent in a day, a move that bell-curve models treat as essentially impossible. Those models help to estimate risk, and they do not forecast the direction of prices.
Finally, the source course uses the fractal picture as a philosophy: self and other nest in each other, like the folds of a coast, so pure selfishness and pure altruism cannot exist apart. It takes the picture as an argument against reading human altruism as hidden selfishness, as it understands The Selfish Gene to do. That book’s defenders reply that “selfish” there describes what selection favors in genes, not what people want. Either way, a metaphor from geometry is a picture and not a result, and it does not settle a question in biology or ethics.
A map shows a coast as 1,000 km long using a 10 km ruler. A friend remeasures with a 1 km ruler. What should you expect?
What to keep
- The length of a rough coast depends on the ruler. Richardson found it in border data, and Mandelbrot’s 1967 paper turned the exponent into a fractional dimension; official US and Chinese coast figures show the effect.
- Dimension comes from scaling: N copies at 1/s size give D = log N ÷ log s. The Koch curve has D of about 1.26, the Cantor dust about 0.63, Sierpiński’s triangle about 1.58.
- The “monster” curves of the 1870s to 1900s were counterexamples until Mandelbrot, who coined “fractal” in 1975, showed that they are good models of rough things.
- Real objects are fractal over a limited range, typically about one and a half orders of magnitude, so “everything is fractal” is an overstatement, and the Pollock and market uses of fractals are contested.
Think it over
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Sources and further reading
- Lewis Fry Richardson, “The problem of contiguity: an appendix to Statistics of Deadly Quarrels,” General Systems Yearbook 6 (1961), 139–187; Statistics of Deadly Quarrels, Boxwood Press, 1960.
- Benoit Mandelbrot, “How long is the coast of Britain? Statistical self-similarity and fractional dimension,” Science 156 (1967), 636–638; The Fractal Geometry of Nature, W. H. Freeman, 1982; The Fractalist: Memoir of a Scientific Maverick, Pantheon, 2012; James Gleick, Chaos: Making a New Science, Viking, 1987.
- Michael Frame, “Benoit B. Mandelbrot: a biographical memoir,” National Academy of Sciences; MacTutor biographies of Koch, Hausdorff, Julia, and Besicovitch (University of St Andrews).
- National Oceanic and Atmospheric Administration, The Coastline of the United States (1975) and “Shoreline length” data (shoreline.noaa.gov); US Census Bureau, Statistical Abstract of the United States 2012, table 364; Cassandra Stoa, “The coastline paradox,” Rutgers University Law Review 72 (2020); China National Bureau of Statistics, “Land and resources” (coastline and islands); Ministry of Natural Resources, China Marine Economy Statistical Bulletin (2022).
- Karl Weierstrass (read 18 July 1872), Mathematische Werke 2 (1895); Georg Cantor, Mathematische Annalen 21 (1883), 545–591; Helge von Koch, “Sur une courbe continue sans tangente,” Arkiv för Matematik 1 (1904); Felix Hausdorff, “Dimension und äußeres Maß,” Mathematische Annalen 79 (1918); Henri Poincaré, “Les définitions mathématiques et l’enseignement” (1906), in Science et méthode, 1908; Charles Hermite to Thomas Stieltjes, 20 May 1893.
- Adrien Douady and John Hubbard, Comptes Rendus de l’Académie des Sciences 294 (1982), 123–126; Mitsuhiro Shishikura, “The Hausdorff dimension of the boundary of the Mandelbrot set,” Annals of Mathematics 147 (1998), 225–267.
- David Avnir, Ofer Biham, Daniel Lidar, and Ofer Malcai, “Is the geometry of nature fractal?” Science 279 (1998), 39–40 and the follow-up letter, 279 (1998), 1611; Gabriella Azpeitia and colleagues, “Cauliflower fractal forms arise from perturbations of floral gene networks,” Science 373 (2021), 192–197.
- Robert Horton, Bulletin of the Geological Society of America 56 (1945), 275–370; Arthur Strahler, Bulletin of the Geological Society of America 63 (1952), 1117–1142; Paolo La Barbera and Renzo Rosso, Water Resources Research 25 (1989), 735–741.
- Matthias Ochs and colleagues, “The number of alveoli in the human lung,” American Journal of Respiratory and Critical Care Medicine 169 (2004), 120–124; Rao and Johncy, “Tennis courts in the human body,” Cureus (2022).
- Yaning Li, Christine Ortiz, and Mary Boyce, Physical Review E 84 (2011), 062904 and 85 (2012), 031901; Jaslow, Journal of Biomechanics 23 (1990), 313–321; Skrzat and Walocha, Folia Morphologica (2003).
- Richard Taylor, Adam Micolich, and David Jonas, “Fractal analysis of Pollock’s drip paintings,” Nature 399 (1999), 422; Katherine Jones-Smith and Harsh Mathur, “Revisiting Pollock’s drip paintings,” Nature 444 (2006), E9–E10; Katherine Jones-Smith, Harsh Mathur, and Lawrence Krauss, Physical Review E 79 (2009), 046111.
- Benoit Mandelbrot, “The variation of certain speculative prices,” Journal of Business 36 (1963), 394–419; Eugene Fama, Journal of Business 36 (1963), 420–429 and 38 (1965), 34–105; Parameswaran Gopikrishnan and colleagues, Physical Review E 60 (1999), 5305; Federal Reserve History, “Stock market crash of 1987.”
- Ji Cheng, Yuanye (1631); UNESCO World Heritage Centre, “Classical Gardens of Suzhou.”