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Measure theory is still quite new to me, and I'm a bit confused about the following.

Suppose we have a continuous function $f: I \rightarrow X$, where $I \subset \mathbb{R}$ is a closed interval and $X$ is a Banach space. I can show that $f$ is weakly measurable: for each $v \in X^*$, we have that the mapping $x \mapsto v(f(x))$ is continuous since it is a composition of continuous mappings $v$ and $f$ (is this correct?).

I also know that a continuous function is measurable. In this case, does measurable mean the same as strongly measurable? If it does, how can you show this using Pettis' theorem (i.e. why is there a null set $N\subset I$ such that the set $\{f(x) | x\in I\backslash N\}$ is separable)? Or is it easier to prove it without Pettis' theorem?

For continuous $f$, does strong convergence then also imply that it is summable / Bochner integrable, since the mapping $x \mapsto ||f(x)||$ is the composition of continuous maps ($f$ and $||.||$)? EDIT: This last sentence is nonsense of course, $x \mapsto ||f(x)||$ must be summable, not continuous.

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    $\begingroup$ If you are new to measure theory, then you should take a beginning course in measure theory, not a course of measure theory in Banach space. $\endgroup$ – TCL Apr 27 '13 at 18:31
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    $\begingroup$ Do the case $I = [0,1]$ first. Use that $f(I)$ is a compact metric space. $\endgroup$ – Martin Apr 27 '13 at 19:02
  • $\begingroup$ Is this correct: $I=[0,1]$ is compact, hence $f(I)$ is a compact subset of a metric space and therefore separable. By Pettis' theorem it follows that any continuous function is strongly measurable? $\endgroup$ – ScroogeMcDuck Apr 28 '13 at 11:18
  • $\begingroup$ Correction: any continuous function with compact domain is strongly measurable? $\endgroup$ – ScroogeMcDuck Apr 28 '13 at 11:24
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    $\begingroup$ Yes, this is correct. The general case follows from this since a closed interval is a countable union of compact intervals. // However, you do not need to use Pettis's theorem. Note that $f$ is uniformly continuous on $[0,1]$. Use this to approximate $f$ by step functions. // Your proof of weak measurability is okay, btw. // Please use @Martin in your future comments so I am notified. $\endgroup$ – Martin Apr 29 '13 at 16:40
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Let $0=t_0\le t_1\le...\le t_{n}=1$ and suppose that $\Delta=\max_{i\in\{1,...,n\}}(t_{i}-t_{i-1})\to 0$ as $n\to \infty$. Let $E_{i}=[t_{i-1}, t_i)$ and for each $i=1,...,n$ fix $\xi_{i}\in E_i$. Let us now define $$f_{n}(t)=\sum_{i=1}^{n}f(\xi_{i})\chi_{E_{i}}(t)$$ for all $t\in [0,1]$ and $n\in \mathbb{N}$. Fix $t\in [0,1]$, $\varepsilon>0$ and observe that $$\|f(t)-f_{n}(t)\| \le \sum_{i=1}^{n}\|f(t)-f(\xi_{i})\|\chi_{E_{i}}(t)=\|f(t)-f(\xi_{i(t)})\|<\varepsilon$$ for sufficiently large $n$ which is a consequance of uniform continuity of $f$ on compact set $[0,1]$. This imples that $$\lim_{n\to\infty}\|f(t)-f_{n}(t)\|=0$$ for all $t\in [0,1]$.

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