I'm studying the Vitali-Hahn-Saks Theorem and I need some help with an example in which the conclusion of the theorem fails.
Theorem. Let $(\Omega,\mathcal{F}, P)$ be a finite measure space, and let $(P_n)$ a sequence of finite measures on $(\Omega, \mathcal{F})$ each of which is absolutely continuous with respect to $P$. Suppose the sequence $(P_n(\Omega))$ is bounded. If $(P_n)$ converges setwise to the set function $P_\infty$, then $(P_n)$ is uniformly absolutely continuous with respect to $P$ ($\forall \epsilon > 0, \exists \delta>0, \forall n, \forall A \in \mathcal{F}, P(A) < \delta$ implies $P_n(A) < \epsilon$). Moreover, $P_\infty$ is a finite measure that is absolutely continuous with respect to $P$.
I thought I'd cook up a simple example where uniform absolute continuity fails in order to see how setwise convergence fails. Start with a countable probability space given by $P(\omega_n) = 2^{-n}$. Let the events $E_n = \Omega - \cup_{i=1}^n \{\omega_i\}$. And let $P_n = P(\cdot \mid E_n)$. Note that $\inf_n\{P(E_n) \}=0$.
The sequence $(P_n)$ is not uniformly absolutely continuous with respect to $P$. To see that let $\epsilon = 1/2$, and let $\delta > 0$ be given. For large enough $n$, $P(E_n) < \delta$ but $P_n(E_n) = 1 > \epsilon.$
Question. How to see that $(P_n)$ does not converge setwise? I've played around with a few example events $A$, but $(P_n(A))$ always converges. Hints are appreciated.