Definition 17.1.1 (Strongly Measurable Function). Let $(X, \cm)$ be a measurable space, $E$ be a normed vector space over $K \in \RC$, and $f: X \to E$, then the following are equivalent:

  1. For each $\phi \in E^{*}$, $\phi \circ f$ is $(\cm, \cb_{K})$-measurable and $f(X) \subset E$ is separable.

  2. $f$ is $(\cm, \cb_{E})$ measurable and $f(X) \subset E$ is separable.

  3. There exists a sequence $\seq{f_n}\subset \Sigma(X, \cm; E)$ such that

    1. For each $n \in \natp$, $\norm{f_n}_{E} \le \norm{f}_{E}$.

    2. $\norm{f_n(x) - f(x)}_{E} \to 0$ pointwise as $n \to \infty$.

Proof. (1) $\Rightarrow$ (2): TODO

(2) $\Rightarrow$ (3): By Proposition 15.5.6.

(3) $\Rightarrow$ (1): For each $\phi \in E^{*}$, $\phi \circ f = \limv{n}\phi \circ f_{n}$ is measurable by Proposition 15.3.2. Since

\[f(X) \subset \ol{\bigcup_{n \in \natp}f_n(X)}\]

and each $f_{n}$ is finitely-valued, $f(X)$ is separable.$\square$