I'm in an Analysis course and we're just learning about measure theory, as a motivation for the Lebesgue measure.
For a measure space $(X, \mathcal{E}, \mu)$ we introduced the complete measure space $\mathcal{E}_\mu$ defined as:
$$ \mathcal{E}_\mu := \{A \in \mathcal{P}(X)\ |\ \exists B, C \in \mathcal{E} \text{ with } A \triangle B \subset C \text{ and } \mu(C) = 0 \}$$
and we define the corresponding complete measure as
$$ \overline{\mu}_1(A) = \mu(B)$$
On the internet I've found exclusively an alternative definition, for which we define
$$ \mathcal{N} := \{N \subset X\ | \ \exists M \in \mathcal{E} \text{ mit } \mu(M) = 0 \text{ und } N \subset M\} $$
and then the complete measure, I'll name it $\overline{\mathcal{E}}$ is:
$$ \overline{\mathcal{E}} := \{ D \cup N \ | \ D \in \mathcal{E}, N \in \mathcal{N}\}$$
and a measure
$$ \overline{\mu}_2(D \cup N) = \mu(D) $$
I find it much easier to work with the alternative definition from the internet, and I was wondering what advantages the one from my professor would have. And secondly, if both are complete measure spaces with respect to $\mathcal{E}$, is also $\mathcal{E}_\mu = \overline{\mathcal{E}}$ and $\mu_1 = \mu_2$? How could I start proving it?