Proposition 14.1.5. Let $(X, \cm, \mu)$ be a measure space, then:

  1. For any $E, F \in \cm$ with $E \subset F$, $\mu(E) \le \mu(F)$.

  2. For any $\seq{E_n}\subset \cm$, $\mu\paren{\bigcup_{n \in \natp}E_n}\le \sum_{n \in \natp}\mu(E_{n})$.

  3. For any $\seq{E_n}\subset \cm$ with $E_{n} \subset E_{n+1}$ for all $n \in \nat$, $\mu\paren{\bigcup_{n \in \nat}E_n}= \limv{n}\mu(E_{n})$.

  4. For any $\seq{E_n}\subset \cm$ with $E_{n} \supset E_{n+1}$ for all $n \in \nat$ and $\mu(E_{1}) < \infty$, $\mu(\bigcap_{n \in \natp}E_{n}) = \limv{n}\mu(E_{n})$.

  5. For any $\seq{E_n}\subset \cm$,

    \[\mu\paren{\liminf_{n \to \infty}E_n}\le \liminf_{n \to \infty}\mu(E_{n})\]
  6. For any $\seq{E_n}\subset \cm$ with $\mu\paren{\bigcup_{n \in \nat}E_n}< \infty$,

    \[\mu\paren{\limsup_{n \to \infty}E_n}\ge \limsup_{n \to \infty}\mu(E_{n})\]

Proof. (1): $\mu(F) = \mu(E) + \mu(F \setminus E) \ge \mu(E)$.

(2): For each $n \in \natp$, let $F_{n} = E_{n} \setminus \bigcup_{k = 1}^{n-1}E_{k}$, then $\seq{F_n}$ is pairwise disjoint with $\bigsqcup_{n \in \natp}F_{n} = \bigcup_{n \in \natp}E_{n}$. In which case,

\[\mu\paren{\bigcup_{n \in \nat}E_n}= \mu\paren{\bigsqcup_{n \in \nat}F_n}= \sum_{n \in \natp}\mu(F_{n}) \le \sum_{n \in \natp}\mu(E_{n})\]

(3): Denote $E_{0} = \emptyset$. For each $n \in \natp$, let $F_{n} = E_{n} \setminus E_{n - 1}$, then $\seq{F_n}$ is pairwise disjoint with $\bigsqcup_{n \in \natp}F_{n} = \bigcup_{n \in \natp}E_{n}$. In which case,

\[\mu\paren{\bigcup_{n \in \natp}E_n}= \mu\paren{\bigsqcup_{n \in \natp}F_n}= \limv{n}\sum_{k = 1}^{n} \mu(F_{n}) = \limv{n}\mu(E_{n})\]

(4): Since $\mu(E_{1}) < \infty$,

\[\limv{n}\mu(E_{n}) = \mu(E_{1}) - \limv{n}\mu(E_{1} \setminus E_{n}) = \mu(E_{1}) - \mu\paren{E_1 \setminus \bigcap_{n \in \natp}E_n}= \mu\paren{\bigcap_{n \in \natp}E_n}\]

by (3).

(5): Using (1) and (3),

\begin{align*}\mu\paren{\liminf_{n \to \infty}E_n}&= \mu\paren{\bigcup_{n \in \natp}\bigcap_{m \ge n}E_m}= \limv{n}\mu\paren{\bigcap_{m \ge n}E_m}\\&\le \limv{n}\inf_{m \ge n}\mu(E_{m}) = \liminf_{n \to \infty}\mu(E_{n})\end{align*}

(6): Using (1) and (4),

\begin{align*}\mu\paren{\limsup_{n \to \infty}E_n}&= \mu\paren{\bigcap_{n \in \natp}\bigcup_{m \ge n}E_m}= \limv{n}\mu\paren{\bigcup_{m \ge n}E_m}\\&\ge \limv{n}\sup_{m \ge n}\mu(E_{m}) = \limsup_{n \to \infty}\mu(E_{n})\end{align*}
$\square$