Exploring Liouville's Theorem with Susskind's Lectures on Statistical Mechanics

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Susskind's lectures on Statistical Mechanics explain Liouville's Theorem, emphasizing that two trajectories in phase space will never merge or converge, due to the deterministic nature of classical mechanics. The discussion raises questions about the second point, particularly in relation to reversible chaos, where initially close points diverge, suggesting a potential misunderstanding of convergence in this context. The idea is proposed that Liouville's Theorem may function similarly to a probability statement, where convergence is unlikely but not impossible. Additionally, there is mention of phase space volume development, which should remain constant and not converge to zero. The conversation highlights the complexity of these concepts and invites further mathematical clarification.
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Hello, so I was watching Susskind's lectures on Statistical Mechanics:

He explained Liouville's Theorem qualitatively in the following two ways:
  • No Merging: Two trajectories in phase space will never merge; this seems obvious using the time-symmetry and determinism in classical mechanics, because when you reverse time everything should still be deterministic, yet if there were merging it wouldn't be.
  • No Limit-Merging: Called "practically just as unpleasant if it would be true", namely that trajectories also won't converge toward each other
Now I don't get this last one; I understand what he says, but I don't see why it should be true. For example think of reversible chaos: a ball on a snookertable will show chaos, meaning initially close points in phase space will diverge (taking the system as only one ball (read: particle)), but it is also reversible (actually, for Statistical Mechanics, I think it's fair to say everything is reversible if you have enough info about the microstate? Here the microstate just 'coincides' with the macrostate if you get my point). Travelling down the trajectories in reverse, we're seeing a convergence. (Okay the example isn't perfect because convergence implies going on forever, yet my time only goes back till the instant I placed the ball on the table, but this doesn't seem to be a main issue here.)

The only way I could understand Susskind's second point is if Liouville's Theorem is actually a probability statement, much like the 2nd law of Statistical Mechanics: it isn't true, just very very probable: in this way, convergence is possible, just unlikely (if so, what are the prerequisites for the theorem?)

Thank you,
mr. vodka
 
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Oh, seems an interesting link and I have to check it out.

I once heard for Liouville you also consider the development of volume in phase space and this volume should not converge to zero. I guess for many mechanical problems it stay even constant? And of course the total phase volume should be limited.

Maybe someone else can put this more mathematically correct.
 
But in the above described case the density seems to increase. How am I misinterpreting things? All help is welcome!
 
mr. vodka said:
Hello, so I was watching Susskind's lectures on Statistical Mechanics:

He explained Liouville's Theorem qualitatively in the following two ways:


Sorry I can't help you, but I would love to see Susskind's explanation of the Liouville theorem. This video lecture series on Stat Mech is very long...can you tell me which video has the part about Liouville?

Thanks...
 
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part one, about after 40 min
 
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