I am not a physicist, and I'm mainly used to thinking about probability spaces (formulated in measure theory).
I am trying to understand what a "statistical ensemble" is, and how it is different from a probability space in terms of measure theory.
In measure theory, a probability space is simply a tuple $(A,\Sigma, P)$, where $\Sigma\subseteq \mathcal P (A)$, and $P:\Sigma\to [0,1]$. My guess would be that an ensemble is simply a subset $A^*\subseteq A$, where $A$ is interpreted as the state space of a physical system, and $A^*$ is a subset of that state space where we have that a certain function(s) has a fixed value(s). For example, take the total energy of the system $E:A\to [0,\infty]$. We might let $A^*=\{a\in A: E(a)=E^*\}$ for some constant $E^*$. Assuming for a moment that we are dealing with a quantum mechanical system so the state space is finite, we can then define a probability measure $P$ on the measurable space $(A^*, \mathcal P(A^*))$, such that for all $a,b\in A^*$, we have that $P(a)=P(b)$. (This is then the fundamental postulate of statistical mechanics, if I'm not mistaken). Thus in this case, our ensemble would be the probability space $(A^*, \mathcal P (A^*), P)$.
Questions:
Is my understanding correct?
Is there a more subtle difference between the two?
Is there a good reason that "ensemble" is terminologically different from the terms used in probability theory, or is this purely a historical quirk? What would be the equivalent term as used by probability theorists?