Eduardo Senz de Cabezn Math is forever with English subtitles TED

Translator: Tomás Guarna
Reviewer: Sebastian Betti

Imagine you’re in a bar, or a club,

and you start talking, and after a while,
the question comes up,

“So, what do you do for work?”

And since you think
your job is interesting,

you say, “I’m a mathematician.”
(Laughter)

And inevitably, during that conversation

one of these two phrases come up:

A) “I was terrible at math,
but it wasn’t my fault.

It’s because the teacher
was awful.” (Laughter)

Or B) “But what is math really for?”

(Laughter)

I’ll now address Case B.

(Laughter)

When someone asks you what math is for,
they’re not asking you

about applications
of mathematical science.

They’re asking you,

why did I have to study that bullshit
I never used in my life again? (Laughter)

That’s what they’re actually asking.

So when mathematicians are asked
what math is for,

they tend to fall into two groups:

54.51 percent of mathematicians
will assume an attacking position,

and 44.77 percent of mathematicians
will take a defensive position.

There’s a strange 0.8 percent,
among which I include myself.

Who are the ones that attack?

The attacking ones are mathematicians
who would tell you

this question makes no sense,

because mathematics
have a meaning all their own –

a beautiful edifice with its own logic –

and that there’s no point

in constantly searching
for all possible applications.

What’s the use of poetry?
What’s the use of love?

What’s the use of life itself?
What kind of question is that?

(Laughter)

Hardy, for instance, was a model
of this type of attack.

And those who stand in defense tell you,

“Even if you don’t realize it, friend,
math is behind everything.”

(Laughter)

Those guys,

they always bring up
bridges and computers.

“If you don’t know math,
your bridge will collapse.”

(Laughter)

It’s true, computers are all about math.

And now these guys
have also started saying

that behind information security
and credit cards are prime numbers.

These are the answers your math teacher
would give you if you asked him.

He’s one of the defensive ones.

Okay, but who’s right then?

Those who say that math
doesn’t need to have a purpose,

or those who say that math
is behind everything we do?

Actually, both are right.

But remember I told you

I belong to that strange 0.8 percent
claiming something else?

So, go ahead, ask me what math is for.

Audience: What is math for?

Eduardo Sáenz de Cabezón: Okay,
76.34 percent of you asked the question,

23.41 percent didn’t say anything,

and the 0.8 percent –

I’m not sure what those guys are doing.

Well, to my dear 76.31 percent –

it’s true that math doesn’t need
to serve a purpose,

it’s true that it’s
a beautiful structure, a logical one,

probably one
of the greatest collective efforts

ever achieved in human history.

But it’s also true that there,

where scientists and technicians
are looking for mathematical theories

that allow them to advance,

they’re within the structure of math,
which permeates everything.

It’s true that we have to go
somewhat deeper,

to see what’s behind science.

Science operates on intuition, creativity.

Math controls intuition
and tames creativity.

Almost everyone
who hasn’t heard this before

is surprised when they hear
that if you take

a 0.1 millimeter thick sheet of paper,
the size we normally use,

and, if it were big enough,
fold it 50 times,

its thickness would extend almost
the distance from the Earth to the sun.

Your intuition tells you it’s impossible.

Do the math and you’ll see it’s right.

That’s what math is for.

It’s true that science, all types
of science, only makes sense

because it makes us better understand
this beautiful world we live in.

And in doing that,

it helps us avoid the pitfalls
of this painful world we live in.

There are sciences that help us
in this way quite directly.

Oncological science, for example.

And there are others we look at from afar,
with envy sometimes,

but knowing that we are
what supports them.

All the basic sciences
support them,

including math.

All that makes science, science
is the rigor of math.

And that rigor factors in
because its results are eternal.

You probably said or were told
at some point

that diamonds are forever, right?

That depends on
your definition of forever!

A theorem – that really is forever.

(Laughter)

The Pythagorean theorem is still true

even though Pythagoras is dead,
I assure you it’s true. (Laughter)

Even if the world collapsed

the Pythagorean theorem
would still be true.

Wherever any two triangle sides
and a good hypotenuse get together

(Laughter)

the Pythagorean theorem goes all out.
It works like crazy.

(Applause)

Well, we mathematicians devote ourselves
to come up with theorems.

Eternal truths.

But it isn’t always easy to know
the difference between

an eternal truth, or theorem,
and a mere conjecture.

You need proof.

For example,

let’s say I have a big,
enormous, infinite field.

I want to cover it with equal pieces,
without leaving any gaps.

I could use squares, right?

I could use triangles.
Not circles, those leave little gaps.

Which is the best shape to use?

One that covers the same surface,
but has a smaller border.

In the year 300, Pappus of Alexandria
said the best is to use hexagons,

just like bees do.

But he didn’t prove it.

The guy said, “Hexagons, great!
Let’s go with hexagons!”

He didn’t prove it,
it remained a conjecture.

“Hexagons!”

And the world, as you know,
split into Pappists and anti-Pappists,

until 1700 years later

when in 1999, Thomas Hales proved

that Pappus and the bees were right –
the best shape to use was the hexagon.

And that became a theorem,
the honeycomb theorem,

that will be true forever and ever,

for longer than any diamond
you may have. (Laughter)

But what happens if we go
to three dimensions?

If I want to fill the space
with equal pieces,

without leaving any gaps,

I can use cubes, right?

Not spheres, those leave little gaps.
(Laughter)

What is the best shape to use?

Lord Kelvin, of the famous
Kelvin degrees and all,

said that the best was to use
a truncated octahedron

which, as you all know –

(Laughter) –

is this thing here!

(Applause)

Come on.

Who doesn’t have a truncated
octahedron at home? (Laughter)

Even a plastic one.

“Honey, get the truncated octahedron,
we’re having guests.”

Everybody has one!
(Laughter)

But Kelvin didn’t prove it.

It remained a conjecture –
Kelvin’s conjecture.

The world, as you know, then split into
Kelvinists and anti-Kelvinists

(Laughter)

until a hundred or so years later,

someone found a better structure.

Weaire and Phelan
found this little thing over here –

(Laughter) –

this structure to which they gave
the very clever name

“the Weaire-€“Phelan structure.”

(Laughter)

It looks like a strange object,
but it isn’t so strange,

it also exists in nature.

It’s very interesting that this structure,

because of its geometric properties,

was used to build the Aquatics Center
for the Beijing Olympic Games.

There, Michael Phelps
won eight gold medals,

and became the best swimmer of all time.

Well, until someone better
comes along, right?

As may happen
with the Weaire-€“Phelan structure.

It’s the best
until something better shows up.

But be careful, because this one
really stands a chance

that in a hundred or so years,
or even if it’s in 1700 years,

that someone proves
it’s the best possible shape for the job.

It will then become a theorem,
a truth, forever and ever.

For longer than any diamond.

So, if you want to tell someone

that you will love them forever

you can give them a diamond.

But if you want to tell them
that you’ll love them forever and ever,

give them a theorem!

(Laughter)

But hang on a minute!

You’ll have to prove it,

so your love doesn’t remain

a conjecture.

(Applause)

译者:Tomás Guarna
审稿人:Sebastian Betti

想象一下你在酒吧或俱乐部

,你开始说话,过了一会儿
,问题出现了,

“那么,你做什么工作?”

既然你认为
你的工作很有趣,

你就会说:“我是一名数学家。”
(笑声

) 在那次谈话中,不可避免地

出现了这两个短语之一:

A)“我的数学很糟糕,
但这不是我的错。

这是因为老师
很糟糕。” (笑声)

或者 B)“但数学到底是为了什么?”

(笑声)

我现在讲案例B。

(笑声)

当有人问你数学是干什么用的时,
他们并不是在问你

关于数学科学的应用。

他们在问你,

为什么我必须再研究
我这辈子从未使用过的废话? (笑声)

这就是他们真正要问的。

所以当数学家被问到
数学是为了什么时,

他们往往分为两类:

54.51%的数学家
会采取进攻立场

,44.77%的数学家
会采取防守立场。

有一个奇怪的 0.8%,
其中包括我自己。

攻击的对象是谁?

攻击者是数学家
,他们会告诉你

这个问题没有意义,

因为数学
本身就具有意义——

一座具有自己逻辑的美丽大厦——

而且

不断
寻找所有可能的应用是没有意义的。

诗有什么用?
爱有什么用?

生命本身有什么用?
这是个什么样的问题?

(笑声

) 例如,哈代
就是这种攻击的典范。

而那些为自己辩护的人会告诉你,

“即使你没有意识到,朋友,
数学是一切的背后。”

(笑声)

那些家伙,

他们总是提出
桥梁和计算机。

“如果你不会数学,
你的桥就会倒塌。”

(笑声

) 确实,计算机都是关于数学的。

现在这些家伙
也开始

说,信息安全
和信用卡背后是质数。 如果你问他,

这些是你的数学老师
会给你的答案。

他是防守球员之一。

好吧,但是谁是对的呢?

那些说数学
不需要有目的的人,

或者那些说数学
是我们所做一切的背后的人?

其实,两者都是对的。

但记得我告诉过你

我属于那个奇怪的 0.8%
声称别的东西吗?

所以,来吧,问我数学是干什么用的。

听众:数学有什么用?

Eduardo Sáenz de Cabezón:好的,
76.34% 的人提出了这个问题,

23.41% 的人什么也没说,

还有 0.8% 的人——

我不确定这些人在做什么。

好吧,对我亲爱的 76.31

% 的人来说,数学确实
不需要服务于目的

,它确实是
一个美丽的结构,一个合乎逻辑的结构,

可能是人类历史
上最伟大的集体努力

之一。

但同样真实的是,

在那里,科学家和技术人员
正在寻找

能够让他们进步的数学理论,

它们处于数学结构之内
,渗透到一切之中。

确实,我们必须
更深入

地了解科学背后的原因。

科学依靠直觉、创造力。

数学控制直觉
并驯服创造力。

几乎
所有没听过的人

都会惊讶
,如果你拿

一张我们通常使用的0.1毫米厚的纸

,如果它足够大,
折叠50次,

它的厚度几乎会增加
地球到太阳的距离。

你的直觉告诉你这是不可能的。

做数学,你会发现它是对的。

这就是数学的用途。

确实,科学,所有类型
的科学,之所以有意义,

是因为它让我们更好地了解
我们生活的这个美丽的世界。

这样做,

它可以帮助我们避免
我们生活的这个痛苦世界的陷阱。

有些科学可以帮助我们
我们这种方式相当直接。

例如,肿瘤科学。

还有一些我们从远处看
,有时嫉妒,

但知道我们
是支持他们的人。

所有的基础科学都
支持它们,

包括数学。

一切造就科学的东西,科学
就是数学的严谨性。

之所以如此严格,
是因为它的结果是永恒的。

您可能曾经说过或被

告知钻石是永恒的,对吧?

这取决于
你对永远的定义!

一个定理——那真的是永远的。

(笑声

) 即使毕达哥拉斯死了,毕达哥拉斯定理仍然是正确的


我向你保证它是正确的。 (笑声)

即使世界

崩溃,勾股定理
仍然是正确的。

任何两个三角形边
和一个好的斜边聚集在一起

(笑声

)勾股定理就全力以赴。
它像疯了一样工作。

(鼓掌)

嗯,我们数学家
致力于定理。

永恒的真理。

但要知道

永恒真理或定理
与单纯的猜想之间的区别并不总是那么容易。

你需要证据。

例如,

假设我有一个
巨大的、无限的领域。

我想用相等的部分覆盖它,
不留任何空隙。

我可以使用正方形,对吗?

我可以使用三角形。
不是圆圈,那些会留下一些空隙。

哪种形状最适合使用?

覆盖相同表面
但边界较小的一种。

在 300 年,亚历山大的帕普斯
说最好的方法是使用六边形,

就像蜜蜂一样。

但他没有证明。

那家伙说:“六边形,太好了!
我们来六边形吧!”

他没有证明这一点,
这仍然是一个猜想。

“六边形!”

如你所知,世界
分裂为 Pappus 和反 Pappists,

直到 1700 年

后的 1999 年,Thomas Hales

证明 Pappus 和蜜蜂是正确的
——最好使用的形状是六边形。

这成为了一个定理,
即蜂窝定理,

它将永远永远是正确的

,比
你可能拥有的任何钻石都要长。 (笑声)

但是如果我们进入三个维度会发生什么

如果我想
用相等的部分填充空间,

不留任何空隙,

我可以使用立方体,对吗?

不是球体,那些会留下很小的空隙。
(笑声)

最好用什么形状?

著名的开尔文度数的开尔文勋爵

说,最好的办法是
使用截断八面

体,你们都知道——

(笑声)——

就是这个东西!

(掌声)

加油。

谁家没有截断
八面体? (笑声)

甚至是塑料的。

“亲爱的,把截断的八面体拿来,
我们请客。”

每个人都有一个!
(笑声)

但开尔文没有证明这一点。

它仍然是一个猜想——
开尔文猜想。

世界,如你所知,然后分裂为开尔文
主义者和反开尔文主义者

(笑声),

直到大约一百年后,

有人找到了更好的结构。

Weaire 和 Phelan
在这里找到了这个小东西——

(笑声)——

这个结构,他们给这个结构起了
一个非常聪明的名字

“Weaire-€“Phelan 结构”。

(笑声)

它看起来像一个奇怪的物体,
但它并不奇怪,

它也存在于自然界中。

非常有趣的是,这种结构

由于其几何特性,

被用于建造
北京奥运会游泳中心。

在那里,迈克尔菲尔普斯
赢得了八枚金牌

,成为了有史以来最好的游泳运动员。

好吧,直到有更好的人
出现,对吧?

Weaire-€“Phelan 结构可能会发生这种情况。


更好的东西出现之前,这是最好的。

但要小心,因为这个
真的很有

可能在一百年左右,
或者即使是 1700 年后

,有人证明
它是最适合这项工作的形状。

然后它将成为一个定理,
一个真理,永远永远。

比任何钻石都长。

所以,如果你想告诉

某人你会永远爱他们,

你可以给他们一颗钻石。

但如果你想告诉
他们你会永远爱他们,

给他们一个定理!

(笑声)

但是等一下!

你必须证明这一点,

所以你的爱不再是

一个猜想。

(掌声)