Let $(X,\mathcal{E},\mu)$ be a measure space.
Definition: The semi-finite version of $\mu$ on $(X,\mathcal{E})$ is denoted $\mu_{\rm sf}$ and defined as $$ \mu_{sf}(E) = \sup\left\{\mu(F);\; F\subseteq E,\,F\in \mathcal{E}\; \text{and}\; \mu(F)<\infty\right\}, \; \forall\,E \in \mathcal{E} . $$
I want to understand the proof of the following lemma.
Lemma: Suppose $E \in \mathcal{E}$ with $\mu_{sf}(E) < \infty$. Then there exists a measurable $B \subseteq E$ with $\mu(B) = \mu_{sf}(E)$.
Proof:By definition of $\mu_{sf}$, for each $k>0$ we may find a measurable $A_k \subseteq E$ with $\mu(A_k)<\infty$ and $\mu_{sf}(E) - \frac{1}{k}\leq \mu(A_k)$. Set $B_n = A_1 \cup \dots \cup A_n$. Then $B_n \subseteq E$ and $\mu(B_n) \ge \mu_{sf}(E) - \frac{1}{n}$. Moreover, since $\mu(B_n) < \infty$, we have $\mu(B_n) \le \mu_{sf}(E)$ by the definition of $\mu_{sf}$. Now set $B = \bigcup_{n=1}^\infty B_n$. Continuity from below shows $\mu(B) \le \mu_{sf}(E)$ and monotonicity shows $\mu(B) \ge \mu_{sf}(E)$. So $B$ is as desired.
I don't understand the following two facts:
$(1)$ Why continuity from below shows that $\mu(B) \le \mu_{sf}(E)$?
$(2)$ Why monotonicity shows that $\mu(B) \ge \mu_{sf}(E)$?