Understanding ensembles, micro/macrostates, equilibrium, reversibility and more

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SUMMARY

This discussion focuses on the concepts of microcanonical and canonical ensembles in thermodynamics and statistical mechanics. The microcanonical ensemble is defined as an ensemble where all accessible microstates of an isolated system have a total energy within a specific range, and the ergodic hypothesis states that these microstates are equally probable at equilibrium. The canonical ensemble involves two interacting systems exchanging energy, leading to the definition of temperature through the maximization of the total number of states, Ω_{tot}. Key questions include the relationship between Ω_{tot} and Ω_{sum}, the calculation of probabilities in macrostates, and the definition of equilibrium in terms of microstate sampling.

PREREQUISITES
  • Understanding of microcanonical and canonical ensembles in statistical mechanics
  • Familiarity with the ergodic hypothesis and equal a priori probability postulate
  • Knowledge of thermodynamic concepts such as temperature and entropy
  • Basic proficiency in calculus, particularly Taylor expansions and derivatives
NEXT STEPS
  • Study the derivation of the Boltzmann distribution from canonical ensemble principles
  • Explore the implications of the ergodic hypothesis in statistical mechanics
  • Investigate the relationship between microstates and macrostates in thermodynamic systems
  • Learn about the role of heat reservoirs in thermodynamic equilibrium
USEFUL FOR

This discussion is beneficial for undergraduate students in physics or engineering, researchers in thermodynamics, and anyone seeking to deepen their understanding of statistical mechanics and ensemble theory.

shockingpants
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Hi,

I just completed a semester of undergrad course in thermodynamics/stat mech and while I find it somewhat easy to simply dump the right equations in different situation to get the right answer, its the fundamentals that has continued to baffle me. I shall be as concise as I can and hopefully, someone will be able to shed light on my queries.

Please correct anything I state if its unclear or just plain wrong!

This is my understanding of a microcanonical ensemble. It is an ensemble where every accessible state of an isolated system has a total energy (between E and E+ΔE). I shall define these states to be micro states as well. By the ergodic hypothesis, given enough time and/or systems, each of these states will have an equal chance of being sampled. In fact, this only applies at equilibrium since different microstates share the same probability only at equilibrium. (AKA, the equal a priori probability postulate only holds at equilibrium) If I assume that the number of states do not depend on any other parameter, then the total number of states Ω[itex]_{tot}[/itex] does not change, i.e. entropy of the system is constant.

If this is right thus far, I shall move on to talk about the canonical system, where my questions really lie.
 
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Suppose we have 2 systems of similar degrees of freedom/number of molecules that can interact with one another through exchange of energy only (the energy exchanged is really heat Q). They are isolated from the rest of the world and thus E[itex]_{tot}[/itex] = E[itex]_{R}[/itex]+E[itex]_{S}[/itex] is constant. The total number of states is equal to Ω[itex]_{tot}[/itex]=Ω[itex]_{R}[/itex]Ω[itex]_{S}[/itex], which is dependent on E[itex]_{S}[/itex]. Suppose we maximize Ω[itex]_{tot}[/itex] such that dΩ[itex]_{tot}[/itex]/dE = 0, the resulting equality will lead us to the definition of temperature. In a special case where system R is a heat reservoir or water bath, its dlnΩ[itex]_{R}[/itex]/dE[itex]_{R}[/itex] aka [itex]\frac{1}{k_{B}T}[/itex] is constant.

My first question is really on Ω[itex]_{tot}[/itex]. I have defined Ω[itex]_{tot}[/itex] as the number of stats when E[itex]_{S}[/itex] is equal to a specific value i.e. Ω[itex]_{tot}[/itex] = Ω[itex]_{tot}[/itex](E[itex]_{S}[/itex]), which changes as E[itex]_{S}[/itex] changes. However, if we sum (assume quantum treatment, hence discrete energy packs) Ω[itex]_{tot}[/itex](E[itex]_{S}[/itex]) over all possible E[itex]_{S}[/itex], we get Ω[itex]_{sum}[/itex] = [itex]\sumΩ_{tot}(E_{S})[/itex].

So we have 4 types of no. of states
  1. Ω[itex]_{S}[/itex](E[itex]_{S}[/itex])
  2. Ω[itex]_{R}[/itex](E[itex]_{tot}[/itex]-E[itex]_{S}[/itex])
  3. Ω[itex]_{tot}[/itex](E[itex]_{S}[/itex])=Ω[itex]_{R}[/itex]Ω[itex]_{S}[/itex]
  4. Ω[itex]_{sum}[/itex] = [itex]\sumΩ_{tot}(E_{S})[/itex]

Is the canonical ensemble essentially an ensemble consisting of every single state in Ω[itex]_{sum}[/itex]?

If I wanted to calculate a probability of a system S in a macrostate E[itex]_{S}[/itex], is it simply just using [itex]\frac{Ω_{tot}(E_S)}{Ω_{sum}}[/itex]?

If I rewrote (and taylor expanded) the numerator of [itex]\frac{Ω_{R}(E_{tot}-E_S)\cdotΩ_S(E_S)}{Ω_{sum}}[/itex] to get [itex]\left(Ω_{R}(E_{tot})-\frac{dΩ_R}{dE_R}E_S\right)[/itex]g[itex]_{s}(E_S)[/itex] and performed some manipulations, I would end up with the Boltzmann distribution right?

In this case, what is equilibrium? Is it a state when every single microstate in Ω[itex]_{sum}[/itex] has an equal probability of being sampled, or is it a state when Ω[itex]_{tot}[/itex](E[itex]_{S}[/itex]) is at a maximum?
 
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