Fractals

Infinity, contained.

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Unexpectedly, the length of a country’s coastline depends on your ruler. As the measuring stick gets shorter (left to right), it can better fit within Great Britain’s nooks and crannies. The shorter the ruler, the longer the coastline.
Alison Mackey/Discover

How long is a country’s border? That’s the seemingly simple question mathematician Lewis Fry Richardson asked himself more than 75 years ago.

The thing that puzzled him was that the length of the measuring stick mattered. Let’s use Great Britain as an example: Use a 100-mile ruler, and you get one answer for total coastline. But if you reduce that ruler to a mile, it will fit inside bays the larger ruler missed, and the answer will be far larger. An inch-long ruler will give a still-larger result.

Indeed, Richardson realized, the answer depended entirely on the length of the measuring stick. The shorter it is, the longer the measurement. Taken to its conclusion, the answer was striking: The coastline of Britain is infinite.

He didn’t know it, but Richardson had just stumbled on a previously unrecognized type of geometric object, one that was destined to revolutionize traditional mathematics. He’d found a fractal.

Fractal Fabrication

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Snowflakes form fractals in real life, not just in Koch’s mathematical imagination. Ice crystallizes around a speck of dust in the atmosphere, and the shape of the water molecules results in six-sided symmetry. The precise atmospheric conditions at each moment of creation determine whether the snowflake will form a branch at each point.
Alison Mackey/Discover

A fractal is like an infinite version of a Russian nesting doll: Zoom in on one, and you get a smaller version, more or less, of what you started with. A coastline is a fractal because at any scale, you’ll find coves and bays — well, at least until you get down to atoms.

In the realm of pure mathematics, though, there are no such practical limitations. Consider, for example, the “Koch snowflake” (below, in red), named after Swedish mathematician Helge von Koch. Start with an equilateral triangle, and then on each side erase the middle third and replace it with a smaller equilateral triangle. Do it again and again — forever.

What you get has a similar quality to a real-life coastline — and the more steps you complete in constructing it, the longer the perimeter gets. Do it forever, and you’ll end up with an infinitely long border — though all that infinitude still contains a finite area. It’s like a mathematical version of a saying by the 13th-century poet Rumi: “You are the entire ocean in a drop.”

Other Famous Fractal Figures

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ScreenShot20180605at21515PM
Wolfgang Beyer via Wikimedia (4)

The Mandelbrot Set
In 1978, mathematicians Robert W. Brooks and Peter Matelski — in the process of answering a very different mathematical question — defined a new object based on an equation that is, by their standards, quite simple. But the wonders of this object didn’t become clear until March 1, 1980, when mathematician Benoit Mandelbrot programmed a computer to draw it.

He discovered an object unlike any he’d ever seen. At the largest scale, it’s a kind of heart shape with a circular tail. Zoom in, and you’ll find worlds within worlds within worlds, with shapes resembling sea horses, galactic whorls and mandalas. But within each of these fantastical shapes, the original heart-shaped figure also hid. A single equation contained an entire mathematical universe.

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Alison Mackey/Discover

The Sierpinski Triangle
Here’s another you can make yourself. Start with an equilateral triangle and divide it into four equal-sized, smaller equilateral triangles, then remove the center one. Repeat that process with the three remaining triangles — forever. You’ll end up with a Sierpinski triangle, named after Polish mathematician Wacław Franciszek Sierpin’ski. Amazingly, its area is zero.

Interdimensional Reality

Fractals often have the rare property of existing between our ordinary dimensions.

The Koch snowflake, for example, consists of ordinary one-dimensional lines, but with more and more iterations, it appears fuzzy, as if it had breadth. The Sierpinski triangle is built from an ordinary two-dimensional triangle, but with all the area carved out, it doesn’t quite have the heft of two dimensions.

Mandelbrot captured this through the idea of a fractional dimension — hence the name fractal. Essentially, it captures how complex and squiggly a fractal is. Think again of a coastline: As you shrink your measuring stick, the apparent length of a craggy coastline will grow much faster than that of a smooth beach, so it will accordingly have a higher fractal dimension.

The Koch snowflake has a fractal dimension of about 1.26, and the Sierpinski triangle is a bit higher at 1.58. And the boundary of the Mandelbrot set has fractal dimension of 2 — meaning it is as rough a coastline as it could possibly be. It took until 1991 to prove that.

Nature's Favorite Patterns

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Scisettialfio/istock

Mandelbrot titled one of the books in which he introduced these ideas The Fractal Geometry of Nature. While Mother Nature doesn’t form patterns that perfectly repeat forever, the way mathematical fractals do, she does create some gorgeous approximations.

Romanesco, related to broccoli, is a particularly striking and beautiful example, with spirals made of spirals made of spirals made of spirals.

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A.T. Willett/Alamy Stock Photo
Lightning forms a fractal pattern with its branching branches, which means that it has a fractal dimension — one study approximated it at 1.51. When people are struck by lightning, it can form a lightning-shaped mark as the electricity travels across the skin, damaging blood vessels — which themselves form a branching, fractal-like pattern.

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Champ008/Shutterstock

The stock market is itself a fractal, with occasional huge crashes or bubbles, and far more frequent smaller rises and falls.

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Leonid A. Mirny and Maxim Imakaev

DNA is packed into a cell using a fractal pattern. The DNA in a human cell is 6.5 feet long — longer than the average human. But it has to be folded up to fit inside a tiny cell nucleus, and the cell must be able to unfold any bit of it that might be needed. A fractal pattern does the trick.

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Claudio Divizia/Shutterstock
Ferns provide another fractal example. Mathematician Michael Barnsley created a fern-shaped mathematical fractal (right) that could be mistaken for the real thing.

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GSFC/NASA

Clouds form fractals, likely because wind turbulence operates similarly at a variety of scales. Large flows of warm, moist air rise in thermals, but within those are smaller columns of air twisting in their own shapes. So large- and small-scale formations end up looking alike.

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Keith Wheeler/Science Source

Human breast tissue has a fractal structure, with the cells aligning into squiggles with squiggles in their squiggles. A pair of researchers at the University of Alberta analyzed nearly 8,000 images of healthy and cancerous tissues, and found that the fractal dimension of the cancerous tissue was consistently lower.

Putting Fractals to Work

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Ciclotrama 20 ( wind) rope sculpture by Janaina Mello Landini, photograph by Gui Gomes

It’s not only nature that loves fractals. Human beings have picked up on nature’s tricks, making use of fractals in our own technology.

Ropes: One of the earliest examples of using fractals to solve a problem involves ropes, as demonstrated in this sculpture by Janaina Mello Landini, titled Ciclotrama 20. Fine fibers are wound together into threads; threads are wound together into cords; cords are wound into cables.

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Animation: Since nature uses fractals, animators can exploit the blueprint to create good imitations. Animated films use fractals to create waves, snow or landscapes. The technique created a realistic simulation of lava in Star Wars: Episode III — Revenge of the Sith.

Fractal antennas: The different scales of a fractal can be used to pick up different ranges of wavelengths of a signal, allowing a more powerful antenna in a small space.

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Fractal compression: Because high-quality photographs require so much data, we often use “compressed” versions that aren’t quite perfect, but are close. One such method looks for repeated patterns at different scales of a picture. It typically generates higher-quality images than the industry standard, a JPEG file, but isn’t common because it requires extra processing time.

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