Consider a collection $\Sigma$ of subsets of $\mathbb{R}^d$ such that
- $A, B \in \Sigma \implies (A \cup B \in \Sigma \hspace{0.3mm} \text{ and } A \cap B \in \Sigma \hspace{0.3mm} \text{ and } A \setminus B \in \Sigma).$
- $\Sigma$ is closed under countable unions and countable intersections.
- If $A$ is either open or closed in the usual topology of $\mathbb{R}^d$, then $A \in \Sigma$.
- If $A \in \Sigma$ and $c \in \mathbb{R}^d$, then $c + A \in \Sigma$.
where $x \in c + A \iff x-c \in A$. Also, consider a function $\mu : \Sigma \to [0,+\infty]$ such that
- $\mu([0,1]^d) = 1$.
- $\mu(\varnothing) = 0$.
- If $A \in \Sigma$ and $c \in \mathbb{R}^d$, then $\mu(c+A) = \mu(A)$.
- $\mu$ is countably additive on $\Sigma$.
Then, if I'm not mistaken, it can be shown that
If $A \in \Sigma$ and $A$ is Lebesgue measurable, then $\mu(A) = m(A)$ where $m$ is the Lebesgue measure.
Loosely speaking, my question is what if $A$ is not Lebesgue measurable?
Is it possible that a non- Lebesgue measurable set $A$ can be in $\Sigma$, or would this automatically contradict disjoint additivity?
Is it possible that $\mu(A)$ is not equal to the Lebesgue outer measure when $A \in \Sigma$ and $A$ is not Lebesgue measurable?
An outline of a proof would be beautiful. If that's not feasible, then a reference would also be greatly appreciated. Thank you for any insight on the matter.