物理学中最被误解的概念:熵 veritasium 2023-07-01

物理学中最被误解的概念:熵

这是一个关于物理学中最重要的概念之一,但它却最不为人所理解。

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This is a video about one of the most important, yet least understood concepts in all of physics.

它掌控着从分子碰撞到巨大风暴的一切。

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It governs everything from molecular collisions to humongous storms.

从宇宙的开端,贯穿其整个演化过程,直至其不可避免的终结。

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From the beginning of the universe through its entire evolution, to its inevitable end.

事实上,它甚至可能决定了时间的方向(Direction of Time: 物理学中指时间流逝的单向性),甚至可能是生命存在的理由。

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It may, in fact, determine the direction of time and even be the reason that life exists.

要了解围绕这个话题的困惑,你只需要问一个简单的问题:地球从太阳那里得到了什么?

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To see the confusion around this topic, you need to ask only one simple question. What does the Earth get from the sun?

人们的回答五花八门,有人说是光线,有人说是热量和温暖,还有人提到维生素D,因为紫外线能帮助我们生成维生素D。

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What does the earth get from sun? Well, it's light rays? What do we get from the sun? Heat. Warmth. Warmth, light. Vitamin D, we get vitamin D from- We do get vitamin D from the ultraviolet rays.

但最常见的答案是“能量”。

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Well, a lot of energy. What does the earth get from this, energy? Yeah, energy. Energy. Nailed it.

每天,地球从太阳那里获得一定量的能量。那么,地球向太空辐射回的能量,相对于它从太阳获得的能量,有多少呢?

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Every day, the earth gets a certain amount of energy from the sun. And then how much energy does the earth radiate back into space relative to that amount that it gets from the sun?

大多数人会认为辐射回去的能量会少一些,因为我们“使用”了一部分能量。

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Probably not as much, I, you know, I don't believe it's just radiating right back. I'd say less. Less. Less. I say less. I guess about 70%? It is a fraction. I'd say 20%. Because... Because we use some of it. We use some of the energy. Mm-hmm. We consume a lot, right?

但能量的特点是它永远不会真正消失,你无法真正地“用完”它。

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But the thing about energy is it never really goes away. You can't really use it up.

那么,地球从太阳获得的能量和辐射回太空的能量,两者之间应该达到平衡,不是吗?

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It would have to break even, wouldn't it? Same amount, yeah. You know, cause and effect. It'd be equal in some ways, right?

在地球历史的大部分时间里,从太阳进入地球的能量应该与地球辐射回太空的能量完全相同。

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For most of the earth's history, it should be exactly the same amount of energy in from the sun as earth radiates into space.

如果不是这样,地球就会变得越来越热,那将是一个大问题。

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Wow. Because if we didn't do that, then the earth would get a lot hotter, that'd be a problem. That'd be a big problem.

所以,如果情况确实如此,那么我们到底从太阳那里得到了什么呢?

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So, if that is the case... Yeah. Then what are we really getting from the sun? That's a good question. Hmm. It gives us a nice tan. It gives us a nice tan, I love it. We're getting something special from the sun. I don't know, what do we get without the energy? But nobody talks about it.

卡诺热机与能量转换的奥秘

要回答这个问题,我们必须回到两个世纪前的一项发现。

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To answer that, we have to go back to a discovery made two centuries ago.

1813年冬天,法国正遭受奥地利、普鲁士和俄罗斯军队的入侵。

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In the winter of 1813, France was being invaded by the armies of Austria, Prussia, and Russia.

拿破仑(Napoleon: 法国军事家和政治家)一位将军的儿子,17岁的学生萨迪·卡诺(Sadi Carnot: 法国物理学家,热力学奠基人之一),于12月29日写信给拿破仑,请求参战。

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The son of one of Napoleon's generals was Sadi Carnot, a 17-year-old student. On December 29th, he writes a letter to Napoleon to request to join in the fight.

拿破仑忙于战事,从未回复,但几个月后巴黎遭到攻击时,卡诺如愿以偿。

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Napoleon preoccupied in battle, never replies. but Carnot gets his wish a few months later when Paris is attacked.

学生们在城市东部的一个城堡进行防御,但他们无法与前进的军队匹敌,巴黎在仅仅一天的战斗后沦陷。

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The students defend a chateau just east of the city, but there're no match for the advancing armies, and Paris falls after only a day of fighting.

被迫撤退的卡诺感到非常沮丧。

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Forced to retreat, Carnot is devastated.

七年后,他去拜访了在拿破仑倒台后逃往普鲁士的父亲。

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Seven years later, he goes to visit his father who's fled to Prussia after Napoleon's downfall.

他的父亲不仅是一位将军,还是一位物理学家。

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His father was not only a general, but also a physicist.

他曾写过一篇关于机械系统中能量如何最有效传输的论文。

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He wrote an essay on how energy is most efficiently transferred in mechanical systems.

儿子来访时,他们详细讨论了当时的一项重大突破——蒸汽机。

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When his son comes to visit, they talk at length about the big breakthrough of the time, steam engines.

蒸汽机当时已被用于驱动船舶、开采矿石和挖掘港口。

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Steam engines were already being used to power ships, mine ore, and excavate ports.

很明显,未来国家的工业和军事实力将取决于拥有最好的蒸汽机。

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And it was clear that the future industrial and military might of nations depended on having the best steam engines.

但法国的设计落后于英国等其他国家。

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But French designs were falling behind those of other countries like Britain.

于是,萨迪·卡诺决定亲自找出原因。

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So, Sadi Carnot took it upon himself to figure out why.

当时,即使是最好的蒸汽机也只能将大约3%的热能转化为有用的机械功。

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At the time, even the best steam engines only converted around 3% of thermal energy into useful mechanical work.

如果他能改进这一点,他就能为法国带来巨大优势,并恢复其在世界上的地位。

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If he could improve on that, he could give France a huge advantage and restore its place in the world.

因此,他接下来的三年都致力于研究热机,他的一项关键见解涉及卡诺理想热机(Carnot's Ideal Heat Engine: 一种无摩擦、无热损失的理想热机)的工作原理。

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So he spends the next three years studying heat engines, and one of his key insights involves how an ideal heat engine would work, one with no friction and no losses to the environment.

这种理想热机看起来是这样的:取两根非常大的金属棒,一根热,一根冷。

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It looks something like this. Take two really big metal bars, one hot and one cold.

发动机由一个充满空气的腔室组成,热量只能通过底部流入或流出。

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The engine consists of a chamber filled with air, where heat can only flow in or out through the bottom.

腔室内有一个活塞,连接着一个飞轮。

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Inside the chamber is a piston, which is connected to a flywheel.

空气的初始温度略低于热棒。

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The air starts at a temperature just below that of the hot bar.

首先,将热棒与腔室接触。

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So first, the hot bar is brought into contact with the chamber.

腔内的空气受热膨胀,热量流入以保持其温度。

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The air inside expands with heat flowing into it to maintain its temperature.

这推动活塞向上,转动飞轮。

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This pushes the piston up, turning the flywheel.

接下来,移开热棒,但腔内的空气继续膨胀。

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Next, the hot bar is removed, but the air in the chamber continues to expand,

但此时没有热量进入,温度会下降。

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except now without heat entering, the temperature decreases.

在理想情况下,直到它达到冷棒的温度。

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In the ideal case, until it is the temperature of the cold bar.

冷棒被带入与腔室接触,飞轮向下推动活塞。

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The cold bar is brought into contact with the chamber and the flywheel pushes the piston down.

随着空气被压缩,热量被传递到冷棒中。

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And as the air is compressed, heat is transferred into the cold bar.

移开冷棒。

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The cold bar is removed.

飞轮进一步压缩气体,使其温度升高,直到略低于热棒的温度。

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The flywheel compresses the gas further increasing its temperature until it is just below that of the hot bar.

然后再次连接热棒,循环重复。

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Then the hot bar is connected again and the cycle repeats.

通过这个过程,来自热棒的热量被转化为飞轮的能量。

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Through this process, heat from the hot bar is converted into the energy of the flywheel.

卡诺理想热机的一个有趣之处在于它是完全可逆的。

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And what's interesting to note about Carnot's ideal engine is that it is completely reversible.

如果你反向运行发动机,首先空气膨胀,降低温度;然后腔室与冷棒接触,空气进一步膨胀,从冷棒中吸取热量。

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If you ran the engine in reverse, first the air expands lowering the temperature, then the chamber is brought into contact with the cold bar, the air expands more, drawing in heat from the cold bar.

接下来,空气被压缩,温度升高。

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Next, the air is compressed, increasing its temperature.

腔室被放置在热棒上方,飞轮的能量被用来将热量返回到热棒中。

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The chamber is placed on top of the hot bar and the energy of the flywheel is used to return the heat back into the hot bar.

无论正向运行了多少个循环,你都可以反向运行相同数量的循环,最终一切都会回到其原始状态,无需额外的能量输入。

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However many cycles were run in the forward direction, you could run the same number in reverse, and at the end, everything would return to its original state with no additional input of energy required.

所以,通过运行一个理想发动机,什么都不会真正改变。你总是可以撤销你所做的一切。

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So by running an ideal engine, nothing really changes. You can always undo what you did.

效率、绝对零度与熵的引入

那么,这个发动机的效率是多少呢?

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So what is the efficiency of this engine?

由于它是完全可逆的,你可能会期望效率达到100%,但事实并非如此。

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Since it's fully reversible, you might expect the efficiency to be 100%, but that is not the case.

每个循环中,飞轮的能量增加量等于从热棒流入腔室的热量减去从腔室流出到冷棒的热量。

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Each cycle, the energy of the flywheel increases by the amount of heat flowing into the chamber from the hot bar, minus the heat flowing out of the chamber at the cold bar.

因此,要计算效率,我们将这个能量除以热棒的热量输入。

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So to calculate the efficiency, we divide this energy by the heat input from the hot bar.

热侧的输入热量等于气体对活塞所做的功,这总是大于活塞对冷侧气体所做的功,后者等于输出热量。

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Now the heat in on the hot side is equal to the work done by the gas on the piston, and this will always be greater than the work done by the piston on the gas on the cold side, which equals the heat out.

这是因为在热侧,热气体对活塞施加的压力比冷气体更大。

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And this is because on the hot side, the hot gas exerts a greater pressure on the piston than that same gas when cold.

为了提高发动机的效率,你可以提高热侧的温度,或者降低冷侧的温度,或者两者都做。

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To increase the efficiency of the engine, you could increase the temperature of the hot side, or decrease the temperature of the cold side, or both.

开尔文勋爵(Lord Kelvin: 英国物理学家,热力学温标的提出者)了解了卡诺的理想热机后,意识到它可以构成绝对温标(Absolute Temperature Scale: 以绝对零度为起点,没有负值的温标)的基础。

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Lord Kelvin learns of Carnot's ideal heat engine and realizes it could form the basis for an absolute temperature scale.

想象一下,如果气体被允许极度膨胀,以至于冷却到所有气体粒子都停止运动的程度。

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Imagine that the gas is allowed to expand an extreme amount, so much that it cools to the point where all the gas particles effectively stop moving.

那么它们就不会对活塞施加压力,在冷侧压缩它也无需做功,因此不会损失热量。

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Then they would exert no pressure on the piston, and it would take no work to compress it on the cold side, so no heat would be lost.

这就是绝对零度(Absolute Zero: 理论上粒子停止运动的最低温度)的概念,它将使发动机达到100%的效率。

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This is the idea of absolute zero, and it would make for a 100% efficient engine.

使用这种绝对温标,即开尔文温标,我们可以用热侧和冷侧的温度分别替换进出热量,因为它们是直接成比例的。

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Using this absolute temperature scale, the Kelvin scale, we can replace the amount of heat in and out with the temperature of the hot and cold side respectively, because they are directly proportional.

因此,我们可以这样表达效率,然后可以改写成这样。

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So we can express efficiency like this, which we can rewrite like this.

我们了解到,理想热机的效率不取决于材料或发动机的设计,而是根本上取决于热侧和冷侧的温度。

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What we have learned is that the efficiency of an ideal heat engine doesn't depend on the materials or the design of the engine, but fundamentally on the temperatures of the hot and cold sides.

要达到100%的效率,你需要热侧有无限高的温度或冷侧达到绝对零度,这两者在实践中都是不可能的。

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To reach 100% efficiency, you'd need infinite temperature on the hot side or absolute zero on the cold side, both of which are impossible in practice.

因此,即使没有摩擦或环境损失,也不可能制造出100%高效的热机。

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So even with no friction or losses to the environment, it's impossible to make a heat engine 100% efficient.

这是因为要将活塞返回到其原始位置,你需要将热量排入冷棒。

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And that's because to return the piston to its original position, you need to dump heat into the cold bar.

所以并非所有能量都留在飞轮中。

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So not all the energy stays in the flywheel.

在卡诺的时代,高压蒸汽机只能达到160摄氏度的温度。

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Now, in Carnot's time, high pressure steam engines could only reach temperatures up to 160 degrees Celsius.

因此,它们的理论最大效率为32%,但实际效率更接近3%。

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So their theoretical maximum efficiency was 32%, but their real efficiency was more like 3%.

这是因为实际发动机存在摩擦,会向环境散发热量,并且它们不是在恒定温度下传递热量。

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That's because real engines experience friction, dissipate heat to the environment, and they don't transfer heat at constant temperatures.

因此,即使输入相同的热量,最终进入飞轮的能量也更少。

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So for just as much heat going in, less energy ends up in the flywheel.

其余的能量则分散到气缸壁、飞轮轴上,并辐射到环境中。

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The rest is spread out over the walls of the cylinder, the axle of the flywheel, and is radiated out into the environment.

当能量以这种方式分散时,就不可能再将其收回。

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When energy spreads out like this, it is impossible to get it back.

所以这个过程是不可逆的。

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So this process is irreversible.

总能量没有改变,但它变得不那么可用了。

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The total amount of energy didn't change, but it became less usable.

能量集中时最有用,分散时则不那么有用。

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Energy is most usable when it is concentrated and less usable when it's spread out.

几十年后,德国物理学家鲁道夫·克劳修斯(Rudolf Clausius: 德国物理学家,热力学和熵概念的奠基人)研究了卡诺发动机,并提出了一种衡量能量分散程度的方法。

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Decades later, German physicist, Rudolf Clausius, studies Carnot's engine, and he comes up with a way to measure how spread out the energy is.

他把这个量称为(Entropy: 衡量能量分散程度的物理量)。

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He calls this quantity, entropy.

当所有能量都集中在热棒中时,那是低熵状态。

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When all the energy is concentrated in the hot bar, that is low entropy,

但随着能量扩散到周围环境、腔室壁和轴上,熵会增加。

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but as the energy spreads to the surroundings, the walls of the chamber and the axle will entropy increases.

这意味着存在相同数量的能量,但以这种更分散的形式,它能做的功就更少。

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This means the same amount of energy is present, but in this more dispersed form, it is less available to do work.

1865年,克劳修斯这样总结了热力学第一定律(First Law of Thermodynamics: 能量守恒定律)和热力学第二定律(Second Law of Thermodynamics: 孤立系统熵值总是增加)。

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In 1865, Clausius summarizes the first two laws of thermodynamics like this.

首先,宇宙的能量是恒定的。

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First, the energy of the universe is constant.

其次,宇宙的熵趋于最大值。

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And second, the entropy of the universe tends to a maximum.

换句话说,能量会随着时间扩散开来。

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In other words, energy spreads out over time.

第二定律是世界上许多现象的核心。

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The second law is core to so many phenomena in the world.

这就是为什么热的东西会冷却,冷的东西会升温,为什么气体膨胀以充满容器,为什么你不能拥有永动机,因为封闭系统中可用能量的总量总是在减少。

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It's why hot things cool down and cool things heat up, why gas expands to fill a container, why you can't have a perpetual motion machine, because the amount of usable energy in a closed system is always decreasing.

描述熵最常见的方式是将其视为“无序”,这很有道理,因为它与事物变得更混合、更随机、更无序相关。

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The most common way to describe entropy is as disorder, which makes sense because it is associated with things becoming more mixed, random, and less ordered.

但我认为思考熵的最佳方式是将其视为能量扩散的趋势。

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But I think the best way to think about entropy is as the tendency of energy to spread out.

时间之箭与宇宙的低熵起源

那么,能量为什么会随着时间扩散呢?

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So why does energy spread out over time?

大多数物理定律在时间向前或向后运行时是完全相同的。

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I mean, most of the laws of physics work exactly the same way forwards or backwards in time.

那么,这种明显的时间依赖性是如何产生的呢?

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So how does this clear time dependence arise?

让我们考虑两根小金属棒,一根热,一根冷。

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Well, let's consider two small metal bars, one hot and one cold.

对于这个简单的模型,我们只考虑每根棒有八个原子。

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For this simple model, we'll consider only eight atoms per bar.

每个原子根据其拥有的能量包数量而振动。

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Each atom vibrates according to the number of energy packets it has.

能量包越多,振动越剧烈。

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The more packets, the more it vibrates.

所以我们从左棒有七个能量包,右棒有三个能量包开始。

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So let's start with seven packets of energy in the left bar and three in the right.

每根棒中的能量包数量就是我们所说的“状态”。

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The number of energy packets in each bar is what we'll call a state.

首先,我们只考虑左棒。

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First, let's consider just the left bar.

它有七个能量包,可以在晶格中自由移动。

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It has seven energy packets, which are free to move around the lattice.

这会不停地发生。

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This happens nonstop.

能量包随机地从一个原子跳到另一个原子,形成不同的能量配置,但总能量始终保持不变。

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The energy packets hop randomly from atom to atom giving different configurations of energy, but the total energy stays the same the whole time.

现在,我们把只有三个能量包的冷棒放回来,并将它们接触。

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Now, let's bring the cold bar back in with only three packets and touch them together.

能量包现在可以在两根棒之间跳动,产生不同的配置。

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The energy packets can now hop around between both bars creating different configurations.

每种独特的配置都是同样可能的。

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Each unique configuration is equally likely.

那么,如果我们在一瞬间截取一张快照,看看所有能量包在哪里,会发生什么呢?

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So what happens if we take a snapshot at one instant in time and see where all the energy packets are?

停下来,看看这个。

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So stop, look at this.

现在左棒有九个能量包,右棒只有一个。

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Now there are nine energy packets in the left bar, and only one in the right bar.

所以热量从冷流向热。

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So heat has flowed from cold to hot.

这不应该是不可能的吗,因为它减少了熵?

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Shouldn't that be impossible because it decreases entropy?

这就是路德维希·玻尔兹曼(Ludwig Boltzmann: 奥地利物理学家,统计力学和热力学第二定律的奠基人)的重要见解。

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Well, this is where Ludwig Boltzmann made an important insight.

热量从冷流向热并非不可能,只是概率极低。

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Heat flowing from cold to hot is not impossible, it's just improbable.

左棒有九个能量包的配置有91,520种,但两根棒各有五个能量包的配置有627,264种。

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There are 91,520 configurations with nine energy packets in the left bar, but 627,264 with five energy packets in each bar.

这意味着能量均匀分布在两根棒之间的可能性是六倍多。

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That is the energy is more than six times as likely to be evenly spread between the bars.

但如果你把所有可能性加起来,你会发现左棒最终能量包比开始时更多的可能性仍然有10.5%。

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But if you add up all the possibilities, you find there's still a 10.5% chance that the left bar ends up with more energy packets than it started.

那么,为什么我们周围没有观察到这种情况发生呢?

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So, why don't we observe this happening around us?

嗯,看看当我们把每根棒的原子数量增加到80个,能量包增加到100个,其中左棒70个,右棒30个时会发生什么。

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Well, watch what happens as we increase the number of atoms to 80 per bar and the energy packets to 100, with 70 in the left bar and 30 in the right.

现在,左边的固体最终比开始时更热的可能性只有0.05%。

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There is now only a 0.05% chance that the left solid ends up hotter than it started.

随着我们不断扩大系统规模,这种趋势会持续下去。

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And this trend continues as we keep scaling up the system.

在日常固体中,大约有100万亿万亿个原子,甚至更多的能量包。

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In everyday solids, there are around 100 trillion, trillion atoms and even more energy packets.

所以热量从冷流向热的可能性是如此之低,以至于它永远不会发生。

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So heat flowing from cold to hot is just so unlikely that it never happens.

把它想象成这个魔方。

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Think of it like this Rubik's cube.

现在,它完全被解开了,但我将闭上眼睛,随机转动几下。

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Right now, it is completely solved, but I'm gonna close my eyes and make some turns at random.

如果我一直这样做,它会离被解开的状态越来越远。

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If I keep doing this, it will get further and further from being solved.

但我怎么能确信我真的把这个魔方弄乱了呢?

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But how can I be confident that I'm really messing this cube up?

因为只有一种方法可以解开它,少数几种方法可以接近解开,而有数亿亿种方法可以让它几乎完全随机。

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Well, because there's only one way for it to be solved, a few ways for it to be almost solved, and quintillions of ways for it to be almost entirely random.

无需思考和努力,每一次转动都将魔方从一个极不可能的状态(被解开的状态)转变为一个更可能的状态(一团糟)。

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Without thought and effort, every turn moves the Rubik's cube from a highly unlikely state that of it being solved to a more likely state, a total mess.

因此,如果能量的自然趋势是扩散,事物变得更混乱,那么像空调这样,让房屋内部变冷,外部变热,能量从冷流向热,从而降低房屋的熵,这又是如何可能的呢?

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So if the natural tendency of energy is to spread out and for things to get messier, then how is it possible to have something like air conditioning where the cold interior of a house gets cooler and the hot exterior gets hotter? Energy is going from cold to hot, decreasing the entropy of the house.

这种熵的减少只有通过在其他地方更大程度地增加熵才有可能实现。

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Well, this decrease in entropy is only possible by increasing the entropy a greater amount somewhere else.

在这种情况下,在发电厂,煤炭中集中的化学能被释放,加热了发电厂及其环境,扩散到涡轮机、发电机,加热了通往房屋的电线,并在风扇和压缩机中产生废热。

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In this case, at a power plant, the concentrated chemical energy and coal is being released, heating up the power plant in its environment, spreading to the turbine the electric generators, heating the wires all the way to the house, and producing waste heat in the fans and compressor.

房屋中实现的任何熵的减少,都必须通过更大程度的熵增加来“买单”,以使其发生。

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Whatever decrease in entropy is achieved at the house is more than paid for by an increase in entropy required to make that happen.

生命与宇宙的熵增之路

但是,如果总熵不断增加,我们所做的一切只会加速这种增加,那么地球上怎么还会存在任何结构呢?

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But if total entropy is constantly increasing and anything we do only accelerates that increase, then how is there any structure left on earth?

为什么会有冷热分离的部分?生命又是如何存在的?

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How are there hot parts separate from cold parts? How does life exist?

如果地球是一个封闭系统,能量将完全扩散,这意味着所有生命都将停止,一切都将衰变和混合,最终达到相同的温度。

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Well, if the earth were a closed system, the energy would spread out completely, meaning, all life would cease, everything would decay and mix, and eventually, reach the same temperature.

但幸运的是,地球不是一个封闭系统,因为我们有太阳。

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But luckily, earth is not a closed system, because we have the sun.

太阳真正给予我们的是一股稳定的低熵流,即集中的、捆绑在一起的能量。

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What the sun really gives us is a steady stream of low entropy that is concentrated bundled up energy.

我们从太阳获得的能量比我们返回的能量更有用。

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The energy that we get from the sun is more useful than the energy we give back.

它更紧凑,更聚集。

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It's more compact, it's more clumped together.

植物捕获这种能量并利用它生长和制造糖。

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Plants capture this energy and use it to grow and create sugars.

然后动物吃植物,并利用这些能量来维持身体和四处活动。

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Then animals eat plants and use that energy to maintain their bodies and move around.

更大的动物通过吃更小的动物来获取能量,以此类推。

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Bigger animals get their energy by eating smaller animals and so on.

每一步,能量都变得更加分散。

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And each step of the way, the energy becomes more spread out.

最终,所有从太阳到达地球的能量都转化为热能,然后辐射回太空。

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Ultimately, all the energy that reaches earth from the sun is converted into thermal energy, and then it's radiated back into space.

但实际上,数量是相同的。

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But in fact, it's the same amount.

熵的增加可以从到达和离开地球的光子相对数量中看出。

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The increase in entropy can be seen in the relative number of photons arriving at and leaving the earth.

对于从太阳接收到的每一个光子,地球会发射出20个光子。

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For each photon received from the sun, 20 photons are emitted,

地球上发生的一切,植物生长、树木倒下、兽群奔腾、飓风和龙卷风、人们进食、睡觉和呼吸,所有这些都发生在将数量较少、能量较高的光子转化为20倍数量的能量较低的光子的过程中。

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and everything that happens on earth, plants growing, trees falling, herds stampeding, hurricanes and tornadoes, people eating, sleeping, and breathing. All of it happens in the process of converting fewer, higher energy photons into 20 times as many lower energy photons.

如果没有集中的能量来源以及一种方式来散发分散的能量,地球上的生命将不可能存在。

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Without a source of concentrated energy and a way to discard the spread out energy, life on earth would not be possible.

甚至有人提出,生命本身可能是热力学第二定律(Second Law of Thermodynamics: 孤立系统熵值总是增加)的结果。

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It has even been suggested that life itself may be a consequence of the second law of thermodynamics.

如果宇宙趋向于最大熵,那么生命提供了一种加速这种自然趋势的方式,因为生命在将低熵转化为高熵方面表现出色。

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If the universe tends toward maximum entropy, then life offers a way to accelerate that natural tendency, because life is spectacularly good at converting low entropy into high entropy.

例如,当存在蓝细菌和其他有机物时,海水表层产生的熵比没有时多30%到680%。

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For example, the surface layer of seawater produces between 30 to 680% more entropy when cyanobacteria and other organic matter is present than when it's not.

杰里米·英格兰(Jeremy England: 美国物理学家,提出了生命起源的熵理论)将此更进一步。

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Jeremy England takes this one step further.

他提出,如果存在持续的聚集能量流,这可能有利于那些能够耗散能量的结构。

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He's proposed that if there is a constant stream of clumped up energy, this could favor structures that dissipate that energy.

随着时间的推移,这会导致越来越好的能量耗散器,最终导致生命的出现。

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And over time, this results in better and better energy dissipators, eventually resulting in life.

或者用他自己的话说:“你从一团随机的原子开始,如果你长时间地照射它,得到一株植物就不应该那么令人惊讶了。”

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Or in his own words, "You start with a random clump of atoms, and if you shine light on it for long enough, it should not be so surprising that you get a plant."

所以地球上的生命依靠来自太阳的低熵生存,但太阳的低熵又是从何而来呢?

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So life on earth survives on the low entropy from the sun, but then where did the sun get its low entropy?

答案是宇宙。

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The answer is the universe.

如果我们知道宇宙的总熵随时间增加,那么昨天的熵就更低,前天的熵甚至更低,以此类推,一直追溯到大爆炸(Big Bang: 宇宙起源的理论)。

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If we know that the total entropy of the universe is increasing with time, then it was lower entropy yesterday and even lower entropy the day before that, and so on, all the way back to the Big Bang.

所以在大爆炸之后,熵是最低的。

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So right after the Big Bang, that is when the entropy was lowest.

这被称为过去假说(Past Hypothesis: 宇宙在早期处于极低熵状态的假说)。

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This is known as the past hypothesis.

它没有解释为什么熵很低,只是说宇宙必须是那样才能像现在这样演化。

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It doesn't explain why the entropy was low, just that it must have been that way for the universe to unfold as it has.

但是早期宇宙是炽热、稠密且几乎完全均匀的。

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But the early universe was hot, dense, and almost completely uniform.

我的意思是,一切都混合在一起,温度基本上处处相同,最多相差0.001%。

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I mean, everything was mixed and the temperature was basically the same everywhere, varying by at most 0.001%.

那么这怎么会是低熵呢?

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So how is this low entropy?

我们遗漏了一点,那就是引力。

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Well, the thing we've left out is gravity.

引力倾向于将物质聚集在一起。

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Gravity tends to clump matter together.

因此,考虑到引力,物质像这样完全分散将是一种极不可能的状态,这就是为什么它是低熵。

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So taking gravity into account, having matter all spread out like this, would be an extremely unlikely state, and that is why it's low entropy.

随着时间的推移,宇宙膨胀并冷却,物质开始在更密集的区域聚集。

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Over time, as the universe expanded and cooled, matter started to clump together in more dense regions.

在此过程中,大量的势能转化为动能。

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And in doing so, enormous amounts of potential energy were turned into kinetic energy.

这种能量也可以被利用,就像水流下坡可以驱动涡轮机一样。

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And this energy could also be used like how water flowing downhill can power a turbine.

但随着物质碎片开始相互碰撞,它们的一些动能转化为热量。

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But as bits of matter started hitting each other, some of their kinetic energy was converted into heat.

因此,可用能量减少了,从而增加了熵。

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So the amount of useful energy decreased. Thereby, increasing entropy.

随着时间的推移,有用的能量被消耗。

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Over time, the useful energy was used.

在此过程中,恒星、行星、星系和生命得以形成,一路增加了熵。

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In doing so, stars, planets, galaxies, and life were formed, increasing entropy all along.

宇宙开始时大约有10的88次方玻尔兹曼常数(Boltzmann Constant: 物理学中连接粒子微观能量与宏观温度的常数)的熵。

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The universe started with around 10 to the 88 Boltzmann constants worth of entropy.

如今,可观测宇宙中的所有恒星大约有9.5乘以10的80次方的熵。

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Nowadays, all the stars in the observable universe have about 9.5 times 10 to the 80.

星际和星系际介质加起来几乎是其10倍,但仍然只是早期宇宙的一小部分。

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The interstellar and intergalactic medium combined have almost 10 times more, but still only a fraction of the early universe.

更多的熵包含在中微子和宇宙微波背景辐射的光子中。

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A lot more is contained in neutrinos and in photons of the cosmic microwave background.

黑洞、热寂与复杂性的涌现

1972年,雅各布·贝肯斯坦(Jacob Bekenstein: 以色列理论物理学家,提出了黑洞熵的概念)提出了另一个熵的来源:黑洞。

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In 1972, Jacob Bekenstein proposed another source of entropy, black holes.

他认为黑洞的熵应该与其表面积成正比。

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He suggested that the entropy of a black hole should be proportional to its surface area.

因此,随着黑洞的增长,其熵也会增加。

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So as a black hole grows, its entropy increases.

著名的物理学家认为这个想法是无稽之谈,而且有充分的理由。

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Famous physicists thought the idea was nonsense and for good reason.

根据经典热力学,如果黑洞有熵,那么它们也应该有温度。

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According to classical thermodynamics, if black holes have entropy, then they should also have a temperature.

但如果它们有温度,它们就应该发射辐射,毕竟不是完全“黑”的。

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But if they have temperatures, they should emit radiation and not be black after all.

斯蒂芬·霍金(Stephen Hawking: 英国理论物理学家,黑洞理论和宇宙学的权威)着手证明贝肯斯坦是错的。

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The person who set out to prove Bekenstein wrong was Stephen Hawking.

但令他惊讶的是,他的结果表明黑洞确实会发射辐射,现在被称为霍金辐射(Hawking Radiation: 黑洞发出的理论辐射),而且它们确实有温度。

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But to his surprise, his results showed that black holes do emit radiation, now known as Hawking radiation, and they do have a temperature.

银河系中心的黑洞温度约为千亿分之一开尔文,发射的辐射微弱到无法探测。

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The black hole at the center of the Milky Way has a temperature of about a hundred trillionth of a Kelvin, emitting radiation that is far too weak to detect.

所以它仍然非常“黑”。

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So still pretty black.

但霍金证实了黑洞有熵,贝肯斯坦是正确的。

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But Hawking confirmed that black holes have entropy and Bekenstein was right.

霍金能够完善贝肯斯坦的提议,并确定它们有多少熵。

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Hawking was able to refine Bekenstein's proposal and determine just how much entropy they have.

银河系中心的超大质量黑洞大约有10的91次方玻尔兹曼常数的熵。

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The super massive black hole at the center of the Milky Way has about 10 to the 91 Boltzmann constants of entropy.

这比早期可观测宇宙的熵高出1000倍,比所有其他粒子加起来的熵高出10倍。

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That is 1,000 times as much as the early observable universe, and 10 times more than all the other particles combined.

而这仅仅是一个黑洞。

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And that is just one black hole.

所有黑洞加起来的熵是3乘以10的104次方玻尔兹曼常数。

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All black holes together account for 3 times 10 to the 104 Boltzmann constants worth of entropy.

所以宇宙中几乎所有的熵都束缚在黑洞中。

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So almost all the entropy of the universe is tied up in black holes.

这意味着,早期宇宙的熵只有现在的0.000000000000003%。

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That means, the early universe only had about 0.000000000000003% of the entropy it has now.

所以熵很低,宇宙中发生的一切,比如行星系统的形成、星系的合并、小行星的撞击、恒星的死亡,乃至生命的繁荣,所有这些都可能发生,因为宇宙的熵很低并且一直在增加。

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So the entropy was low, and everything that happens in the universe like planetary systems forming, galaxies merging, asteroids crashing, stars dying, to life itself flourishing, all of that can happen because the entropy of the universe was low and it has been increasing,

而且这一切都只朝一个方向发生。

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and it all happens only in one direction.

我们从未见过小行星“解撞”,也从未见过行星系统从构成它的尘埃和气体云中“解混”。

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We never see an asteroid uncrash or a planetary system unmix into the cloud of dust and gas that made it up.

过去和未来之间存在明显的区别,这种区别来自于熵。

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There is a clear difference between going to the past and the future, and that difference comes from entropy.

我们从不可能的状态走向更可能的状态,这就是时间之箭(Arrow of Time: 物理学中指时间流逝的单向性)存在的原因。

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The fact that we are going from unlikely to more likely states is why there is an arrow of time.

预计这种情况将持续下去,直到最终能量完全扩散,以至于再也不会发生任何有趣的事情。

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This is expected to continue until eventually, the energy gets spread out so completely that nothing interesting will ever happen again.

这就是宇宙的热寂(Heat Death: 宇宙最终达到最大熵,所有能量均匀分布,不再有可用能量的状态)。

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This is the heat death of the universe.

在遥远的未来,从现在起超过10的100次方年之后,在最后一个黑洞蒸发后,宇宙将处于其最可能的状态。

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In the distant future, more than 10 to the 100 years from now, after the last black hole has evaporated, the universe will be in its most probable state.

那时,即使在大的尺度上,你也无法分辨时间是向前还是向后移动,时间之箭本身也将消失。

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Now, even on large scales, you would not be able to tell the difference between time moving forwards or backwards, and the arrow of time itself would disappear.

所以听起来熵是件可怕的事情,它不可避免地将我们引向可以想象到的最无聊的结果。

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So it sounds like entropy is this awful thing that leads us inevitably towards the dullest outcome imaginable.

但仅仅因为最大熵具有低复杂性,并不意味着低熵具有最大复杂性。

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But just because maximum entropy has low complexity does not mean that low entropy has maximum complexity.

它实际上更像这杯茶和牛奶。

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It's actually more like this tea and milk.

我的意思是,像这样拿着它并不太有趣。

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I mean, holding it like this is not very interesting.

但当我把牛奶倒进去时,两者开始混合,这些美丽的图案就出现了。

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But as I pour the milk in, the two start to mix and these beautiful patterns emerge.

它们瞬间出现,然后很快就消失了,恢复到无特征的状态。

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They arise in an instant and before you know it, they're gone back to being featureless.

低熵和高熵都具有低复杂性。

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Both low and high entropy are low in complexity.

复杂结构出现在中间状态并蓬勃发展。

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It's in the middle where complex structures appear and thrive.

既然我们正处于这个状态,那就让我们充分利用我们所拥有的低熵吧。

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And since that's where we find ourselves, let's make use of the low entropy we've got while we can.

有了合适的工具,我们可以理解几乎任何事物,从一杯茶的冷却到整个宇宙的演化。

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With the right tools, we can understand just about anything, from a cup of tea cooling down to the evolution of the entire universe.

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With Brilliant, you can master key concepts in everything from math and data science to programming and physics.

你所需要做的就是设定你的目标,Brilliant将为你设计完美的学习路径,为你提供实现目标所需的所有工具。

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All you need to do is set your goal, and Brilliant will design the perfect learning path for you, equipping you with all the tools you need to reach it.

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Want to learn how to think like a programmer?

那么Brilliant最新的课程“编程思维”(Thinking in Code: Brilliant.org提供的一门编程入门课程)是实现这一目标的快速简便方法。

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Then Brilliant's latest course, "Thinking in Code" is a fast and easy way to get there.

它使用直观的拖放编辑器,教你真正需要知道的东西,包括嵌套和条件语句等基本概念。

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Using an intuitive drag and drop editor, it teaches you what you really need to know, including essential concepts like nesting and conditionals.

你可以直接开始编程一个机器人,然后学习如何将你的新工具应用于日常生活,比如自动化手机上的提醒或构建一个在约会应用上筛选匹配对象的机器人。

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You can start by jumping right in to program a robot and then learn how to apply your new tools to your everyday life, like automating reminders on your phone or building a bot that filters your matches on a dating app.

我喜欢Brilliant的地方在于他们将所学知识与现实世界中的例子联系起来。

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What I love about Brilliant is that they connect what you learn to real world examples.

而且由于每节课都是动手实践,你将建立真正的直觉,这样你就可以很好地利用所学知识。

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And because each lesson is hands-on, you'll build real intuition, so you can put what you've learned to good use.

要免费试用Brilliant提供的所有内容30天,请访问brilliant.org/veritasium。

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To try everything Brilliant has to offer free for a full 30 days, visit brilliant.org/veritasium.

我会在描述中放置该链接。

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I will put that link down in the description.

通过该链接注册的前200名用户将获得Brilliant年度高级订阅20%的折扣。

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And through that link, the first 200 of you to sign up will get 20% off Brilliant's annual premium subscription.

感谢Brilliant赞助本视频,也感谢您的观看。

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So I wanna thank Brilliant for sponsoring this video, and I wanna thank you for watching.

📌 文中提及的人物和组织

关键字: life science time