- Macrostates and microstates
- Quasistatic and reversible processes
- First law of thermodynamics / internal energy
- More on internal energy
- What is the first law of thermodynamics?
- Work from expansion
- PV-diagrams and expansion work
- What are PV diagrams?
- Proof: U = (3/2)PV or U = (3/2)nRT
- Work done by isothermic process
- Carnot cycle and Carnot engine
- Proof: Volume ratios in a Carnot cycle
- Proof: S (or entropy) is a valid state variable
- Thermodynamic entropy definition clarification
- Reconciling thermodynamic and state definitions of entropy
- Entropy intuition
- Maxwell's demon
- More on entropy
- Efficiency of a Carnot engine
- Carnot efficiency 2: Reversing the cycle
- Carnot efficiency 3: Proving that it is the most efficient
Distinguishing between microstates and macro states. How entropy S is defined for a system and not for a specific microstate. Created by Sal Khan.
I'm going to do one more video on entropy. Maybe I'll do more in the future. But I thought I would at least right now do one more, because I really want to make clear the idea of entropy as a macrostate variable. So let me write that down. An S, which is entropy, is a macrostate variable. I'm going to write macro in bold red. It's a macrostate state variable. And I want to emphasize this. And I talked a little bit about it in my previous video, but I think even then I wasn't as exact as I needed to be. And the reason why I want to say it's macro is because there's a very strong temptation to point to particular micro states and say, does this have higher entropy or lower entropy than another? For example, the classic one. Even I did this. Actually, let me make a bigger, thicker line. So you have this box that has a divider in it. We've gone through this multiple times. Let me draw the divider like right there. OK. So at first if we have a system where all of the molecules are over here-- so that's our first scenario. And then our second scenario, we've studied this a lot. We blow up the wall here. And we actually calculated the entropy. Control. OK. Let me copy it and then I'm going to paste it. Let me put these next to each other. All right. So I have these two things. And then the second time, I blew away this wall. Let me blow it away. Let me erase the wall there. And then we said, once the system reaches equilibrium again-- remember, these macrostate variables, like pressure, like volume, like temperature, like entropy, are only defined once the system is in equilibrium. So once the system is in equilibrium again, these particles are now-- I wanted the same number of particles, so let me erase some of these particles, let me move them. Let me see if I can select some. There. So we'll have a more even-- Let me just redraw. 1, 2, 3, 4, 5, 6, 7, 8 particles. Let me erase what I have. And I'll make it with a more even distribution. So then, once I blow away the wall, I might have 1, 2, 3, 4, 5, 6, 7, 8. Now, the reason why I'm doing all of this is because there's a temptation to say that this state, what I just drew you when I, you know, made sure to blow these away and draw 8 more, I drew a microstate. This is a microstate. Anytime someone is actually drawing molecules for you, they're drawing a microstate. Now, I want to be very clear. This microstate does not have more entropy than this microstate. In fact, microstates you don't have entropy. Entropy does not make sense. What you can say is a system-- and this time, I'm going to draw it without the particles. That if I have a container that is this big, that contains-- so it has some volume. So volume is equal to v1. Its temperature is equal to a t1, and it has 8 particles in it. This has some entropy associated with it. And what we can say, is if we were to double the size of this container, which we did by blowing away that wall, now all of a sudden our volume is equal to 2 times v1, if we say this is double. Our temperature is still equal to t1. We saw that a few videos ago. And we still have 8 molecules. The entropy of this system is higher. So now entropy is higher. And I want to make this very clear, because you never see it drawn this way. People always want to draw the actual molecules. But that confuses the issue. When you draw actual molecules, you're showing a particular state. For example, this system, if we were to actually measure the microstate, it could be-- there's a very, very infinitesimally probability-- but all of the molecules, all 8 molecules might be right there. I mean, it's almost, you know, you could wait for the whole universe to come and go, and it might not happen. But there is some probability it would happen. So you can't assign entropy to a particular state. All you can do is assign it to a particular system. I want to be clear about that. So even I talked about a clean and dirty room and all of that. Clean versus dirty room. And the point I was making is, the entropy of a room is not dependent on its cleanliness or its dirtiness. In fact, you could kind of view these as states of a room. But even more, these really aren't even states of the room. Because when a room is clean, or a room is static at a macro level, they're static. If my books or lying like-- you know, sometimes people look at a deck of cards and say, oh, if I have all my cards stacked up like this, or if I have all my cards that are all messy like that, that this has higher entropy. And I want to make it very clear. I mean, maybe you can kind of make an analogy. But that's not the case. Both of these systems are macrostates. For example, it's not like these cards are vibrating around any more than these cards are. It's not like these can take on more configurations than these cards can. So when you talk about entropy, you're trying to take a macro variable that's describing at a micro level. And the cards themselves are not the micro level, because they're not vibrating around continuously due to some kinetic energy or whatever. It's the cards' molecules that are at the micro level. And if these cards, if you have the same mass of cars as you have here, and if they're at the same temperature, the molecules in these cards can take on just as many states as the molecules in these cards. So they're going to have the same entropy. Entropy is a macrostate variable, or a macrostate function, that describes the number of states a system can take on. So here, I would view the cards as a system. And what we care about is not the number of configurations the cards themselves can take on. The cards aren't constantly vibrating and changing from one thing to another. It's at the atomic level, at the molecular level, that as long as we're above absolute zero, which we pretty much always are, things are going to be vibrating around continuously, and continuously changing its state. So it's almost impossible to measure the state. And since it's impossible to measure the state, we use something like entropy to say, well, how many states can we have? And I mean, all of these things, entropy, whether we call it internal energy, whether we look at entropy, whether we look at pressure, volume, temperature. These are all, if you can think about it in some way, these are shortcuts around having to actually measure what each molecule is doing. And entropy, you can kind of view it as a meta shortcut. I mean, temperature tells you average kinetic energy, this tells you all of the energy that's in it, this tells you, you know, how frequently the molecules are bumping against a certain area. This tells you, on average, kind of where the outermost molecules are. Entropy is kind of a, you can almost view it as a metastate variable. It tells you how many states, how many micro states can we take on? And so I just want to make this very clear, because this is often confused, and there's a very, very, very strong temptation to point to a particular state and to say that that has higher entropy than another, that somehow this state is more entropic than that state. That's not the case. This system is more entropic than this system, than this half box. It has more volume. If it has the same temperature with more volume, then its particles can take on more possible scenarios at any given moment in time. Anyway, hopefully you found that a little bit useful. I just want to make it very, very, very clear. Because this is often, often, often confused. It is a macrostate variable for a system, where a system is composed of things that are bumping around randomly. Every millionth of a second, they're changing states, so it's very hard to even measure one of the microstates. You can't point to a microstate, and say, oh, this has higher entropy than another. Anyway. See you in the next video.