In a book, I found the following theorem (slightly simplified here):
Consider $\mathbb{R}$ with the Borel $\sigma$-field.
Let $B$ be the set of all measurable, bounded, real-valued functions on $\mathbb{R}$.
Let $M$ be the set of all finite, signed measures on $\mathbb{R}$.
Let the weak topology on $B$ be defined to be the coarsest topology such that all functions
$B \to \mathbb{R},\quad f \mapsto \int f \mathrm{d} \mu,\quad \mu \in M$,
are continuous.
Theorem: On any $\| \cdot \|_\infty$-bounded subset of $B$, the weak topology and the topology of pointwise convergence coincide.
Proof. Since $M$ contains all one-point probability measures, convergence in the weak topology implies pointwise convergence. Conversely, since sets bounded in $\| \cdot \|_\infty$-norm are also pointwise bounded, we can deduce from Lebesgue's dominated convergence theorem that pointwise convergence implies convergence in the weak topology. $\square$
Now, I do not understand why having the same convergent sequences in this case should imply that the topologies are the same. One direction seems clear: The topology of pointwise convergence is coarser than the weak topology, since the topology of pointwise convergence is the initial topology w.r.t. the family of all functionals $f \mapsto \int f \mathrm{d} \delta_x$.
Yet I have not been able to get rid of the sequences argument in the other direction, and, thinking about how open sets in $B$ look like in the two topologies, I am not even sure anymore that the theorem is correct.
Questions:
(a) Is the theorem correct? (b) Is the proof correct, and, if yes, why?