双语阅读 | 图灵如何用数学破译自然界


Many have heard of Alan Turing, the mathematician and logician who invented modern computing in 1935. They know Turing, the cryptologist who cracked the Nazi Enigma code, helped win World War II. And they remember Turing as a martyr for gay rights who, after being prosecuted and sentenced to chemical castration, committed suicide by eating an apple laced with cyanide in 1954.
很多人都听说过艾伦·图灵(Alan Turing),知道他是一位数学家和逻辑学家,在1935年发明了现代计算。他们知道图灵是一位密码学家,破译了纳粹的Enigma密码,帮助同盟国赢得了第二次世界大战。他们还知道,图灵是同性恋权利的殉难者,在被起诉并被判处化学阉割后,他于1954年吃了一个涂有氰化物的苹果,自杀身亡。

But few have heard of Turing, the naturalist who explained patterns in nature with math. Nearly half a century after publishing his final paper in 1952, chemists and biological mathematicians came to appreciate the power of his late work to explain problems they were solving, like how zebra fish get their stripes or cheetahs get spots. And even now, scientists are finding new insights from Turing’s legacy.

Most recently, in a paper published Thursday in Science, chemical engineers in China usedpattern generation described by Turing to explain a more efficient process for waterdesalination, which is increasingly being used to provide freshwater for drinking and irrigation inarid places.

双语文摘 | 图灵如何用数学破译自然界

Turing’s 1952 paper did not explicitly address the filtering of saltwater through membranes top roduce freshwater. Instead, he used chemistry to explain how undifferentiated balls of cells generated form in organisms.

It’s unclear why this interested the early computer scientist, but Turing had told a friend that he wanted to defeat Argument From Design, the idea that for complex patterns to exist in nature, something supernatural, like God, had to create them.

A keen natural observer since childhood, Turing noticed that many plants contained clues that math might be involved. Some plant traits emerged as Fibonacci numbers. These were part of a series: Each number equals the sum of the two preceding numbers. Daisies, for example, had 34, 55 or 89 petals.

“He certainly was no militant atheist,” said Jonathan Swinton, a computational biologist and visiting professor at the University of Oxford who has researched Turing’s later work and life. “He just thought mathematics was very powerful, and you could use it to explain lots and lots of things — and you should try.”
“他当然不是一位激进的无神论者,”牛津大学(University of Oxford)的客座教授、计算生物学家乔纳森·斯温顿(Jonathan Swinton)说。他研究了图灵的后期工作和生活。“他只是认为数学非常强大,你可以用它来解释很多东西——你应该试一试。”

And try, Turing did.

“He came up with a mathematical representation that allows form to emerge from blankness,” said Dr. Swinton.

In Turing’s model, two chemicals he called morphogens interacted on a blank arena. “Suppose you’ve got two of these, and one will make the skin of an animal go black and the skin of the animal go white,” explained Dr. Swinton. “If you just mix these things in an arena, what you get is a gray animal.”

But if something caused one chemical to diffuse, or spread, faster than the other, then eachchemical could concentrate in evenly spaced localized spots, together forming black andwhite spots or stripes.

This is known as a “Turing instability,” and, the Chinese researchers who published the new paper determined that it could explain the way shapes emerged in salt-filtering membranes.

By creating three-dimensional Turing patterns like bubbles and tubes in membranes, there searchers increased their permeability, creating filters that could better separate salt from water than traditional ones.

“We can use one membrane to finish the work of two or three,” said Zhe Tan, a graduate student at Zheijang University in China and first author of the paper, which means less energy and lower cost if used for large-scale desalination operations in the future.