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

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The discussion centers on the concepts of microcanonical and canonical ensembles in thermodynamics and statistical mechanics. A microcanonical ensemble consists of all accessible microstates of an isolated system with a fixed total energy, where the ergodic hypothesis states that all microstates are equally probable at equilibrium. The canonical ensemble involves two interacting systems exchanging energy, with the total number of states dependent on the energy of one system, leading to the definition of temperature when maximizing the total number of states. Questions arise about the relationship between the total number of states and the calculation of probabilities for specific macrostates, as well as the definition of equilibrium in this context. Clarification is sought on whether equilibrium is characterized by equal probabilities across all microstates or by maximizing the number of accessible states.
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_{tot} 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_{tot} = E_{R}+E_{S} is constant. The total number of states is equal to Ω_{tot}=Ω_{R}Ω_{S}, which is dependent on E_{S}. Suppose we maximize Ω_{tot} such that dΩ_{tot}/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_{R}/dE_{R} aka \frac{1}{k_{B}T} is constant.

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

So we have 4 types of no. of states
  1. Ω_{S}(E_{S})
  2. Ω_{R}(E_{tot}-E_{S})
  3. Ω_{tot}(E_{S})=Ω_{R}Ω_{S}
  4. Ω_{sum} = \sumΩ_{tot}(E_{S})

Is the canonical ensemble essentially an ensemble consisting of every single state in Ω_{sum}?

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

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

In this case, what is equilibrium? Is it a state when every single microstate in Ω_{sum} has an equal probability of being sampled, or is it a state when Ω_{tot}(E_{S}) is at a maximum?
 
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