Are the Gibbs and Boltzmann forms of Entropy equivalent?

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Homework Help Overview

The discussion revolves around the equivalence of Gibbs and Boltzmann forms of entropy, focusing on their definitions and applicability in different statistical ensembles. Participants explore the implications of equilibrium and the assumptions underlying each entropy formulation.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • The original poster questions whether Gibbs and Boltzmann entropies are always equivalent, noting that Boltzmann assumes equal probabilities for microstates, which may not hold in all ensembles. Other participants discuss the conditions for equilibrium and the implications for entropy equivalence, raising questions about the nature of probabilities in the Boltzmann distribution.

Discussion Status

The discussion is ongoing, with participants offering insights into the definitions of equilibrium and the relationship between microstates and macroscopic quantities. Some guidance is provided regarding the interpretation of probabilities in the context of the Boltzmann distribution, but no consensus has been reached.

Contextual Notes

There is a noted tension between the original poster's understanding and the textbook's assertion regarding the fundamental postulate's applicability across different ensembles. The discussion also highlights the complexities involved in defining equilibrium and its impact on entropy equivalence.

bananabandana
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Homework Statement


Are the Gibbs and Boltzmann entropies always equivalent?

Homework Equations


$$ S=k_{B}ln\Omega $$ [Boltzmann entropy, where ##\Omega## is the number of available microstates

$$ S=-k_{B}\sum_{i}p_{i} ln(p_{i}) $$ [Gibbs entropy, where ##p_{i}## is the probability of a particle being in the ##i^{th}## microstate.

The Attempt at a Solution


I would say no - since Boltzmann implicitly assumes that all of the microstates have equal probability. This works in a system where we can apply the fundamental postulate - i.e the microcanonical ensemble. But that definitely doesn't apply to the Canonical or Grand Canonical ensembles! (as far as I can see)

However, my textbook seems to be suggesting otherwise - i.e that the fundamental postulate always applys, and therefore the Gibbs and Boltzmann entropies are always equal... Are they mistaken?
 
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The definition of equilibrium is that the system wouldn't have net changes in its macrostate but only fluctuates around it. This is only possible if the probabilities associated to the microstates giving that macrostate are the maximum among the probabilities of all of the microstates possible for that system, because at any time the system goes to the direction of more probable microstates. Equilibrium is when this evolution stops and so there should be no direction for a net change, which means all directions should be equally probable. So I think Gibbs and Boltzmann forms of entropy are equivalent for a system in equilibrium.
 
Shayan.J said:
The definition of equilibrium is that the system wouldn't have net changes in its macrostate but only fluctuates around it. This is only possible if the probabilities associated to the microstates giving that macrostate are the maximum among the probabilities of all of the microstates possible for that system, because at any time the system goes to the direction of more probable microstates. Equilibrium is when this evolution stops and so there should be no direction for a net change, which means all directions should be equally probable. So I think Gibbs and Boltzmann forms of entropy are equivalent for a system in equilibrium.
Sorry for the slow reply - I understand what you are saying for the definition of equilibrium - what you say seems intuitively sensible. However, is it not a result that for a given microstate ##j## in the Boltzmann distribution, we have ##p_{j} = \frac{e^{-\beta j}}{Z} ## - so how can the probabilities all be the same? Have I fundamentally misunderstood something?

<Moderator's note: LaTeX fixed>
 
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bananabandana said:
Sorry for the slow reply - I understand what you are saying for the definition of equilibrium - what you say seems intuitively sensible. However, is it not a result that for a given microstate ##j# in the Boltzmann distribution, we have ##p_{j} = \frac{e^{-\beta j}{Z} ## - so how can the probabilities all be the same? Have I fundamentally misunderstood something?
That's correct but irrelevant. The point is that the the microscopic states we're talking about here are equivalent to each other as far as macroscopic quantities(like energy) are concerned. But the Boltzmann factor is giving the probability for the system's macroscopic quantity(energy) to have a particular value, which means its giving the probability for the system to be in any of those equivalent microstates.
 

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