What is entropy? - Jeff Phillips

4,495,249 views ・ 2017-05-09

TED-Ed


Please double-click on the English subtitles below to play the video.

00:06
There's a concept that's crucial to chemistry and physics.
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It helps explain why physical processes go one way and not the other:
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why ice melts,
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why cream spreads in coffee,
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why air leaks out of a punctured tire.
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It's entropy, and it's notoriously difficult to wrap our heads around.
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Entropy is often described as a measurement of disorder.
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That's a convenient image, but it's unfortunately misleading.
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For example, which is more disordered -
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a cup of crushed ice or a glass of room temperature water?
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Most people would say the ice,
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but that actually has lower entropy.
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So here's another way of thinking about it through probability.
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This may be trickier to understand, but take the time to internalize it
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and you'll have a much better understanding of entropy.
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01:01
Consider two small solids
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which are comprised of six atomic bonds each.
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In this model, the energy in each solid is stored in the bonds.
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Those can be thought of as simple containers,
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which can hold indivisible units of energy known as quanta.
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The more energy a solid has, the hotter it is.
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It turns out that there are numerous ways that the energy can be distributed
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in the two solids
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and still have the same total energy in each.
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Each of these options is called a microstate.
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For six quanta of energy in Solid A and two in Solid B,
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there are 9,702 microstates.
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Of course, there are other ways our eight quanta of energy can be arranged.
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For example, all of the energy could be in Solid A and none in B,
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or half in A and half in B.
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If we assume that each microstate is equally likely,
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we can see that some of the energy configurations
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have a higher probability of occurring than others.
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That's due to their greater number of microstates.
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Entropy is a direct measure of each energy configuration's probability.
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What we see is that the energy configuration
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in which the energy is most spread out between the solids
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has the highest entropy.
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So in a general sense,
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entropy can be thought of as a measurement of this energy spread.
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Low entropy means the energy is concentrated.
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High entropy means it's spread out.
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To see why entropy is useful for explaining spontaneous processes,
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like hot objects cooling down,
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we need to look at a dynamic system where the energy moves.
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In reality, energy doesn't stay put.
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It continuously moves between neighboring bonds.
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As the energy moves,
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the energy configuration can change.
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Because of the distribution of microstates,
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there's a 21% chance that the system will later be in the configuration
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in which the energy is maximally spread out,
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there's a 13% chance that it will return to its starting point,
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and an 8% chance that A will actually gain energy.
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Again, we see that because there are more ways to have dispersed energy
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and high entropy than concentrated energy,
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the energy tends to spread out.
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That's why if you put a hot object next to a cold one,
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the cold one will warm up and the hot one will cool down.
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But even in that example,
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there is an 8% chance that the hot object would get hotter.
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Why doesn't this ever happen in real life?
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It's all about the size of the system.
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Our hypothetical solids only had six bonds each.
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Let's scale the solids up to 6,000 bonds and 8,000 units of energy,
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and again start the system with three-quarters of the energy in A
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and one-quarter in B.
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Now we find that chance of A spontaneously acquiring more energy
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is this tiny number.
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Familiar, everyday objects have many, many times more particles than this.
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The chance of a hot object in the real world getting hotter
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is so absurdly small,
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it just never happens.
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Ice melts,
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cream mixes in,
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and tires deflate
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because these states have more dispersed energy than the originals.
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There's no mysterious force nudging the system towards higher entropy.
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It's just that higher entropy is always statistically more likely.
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That's why entropy has been called time's arrow.
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If energy has the opportunity to spread out, it will.
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