Let $E$ be a metric space and $\mathcal M(E)$ denoote the space of finite signed measures on $\mathcal B(E)$ equipped with the total variation norm $\left\|\;\cdot\;\right\|$.
I would like to know whether we can show that if $(\mu_n)_{n\in\mathbb N}$ is convergent with respect to the topology of weak convergence of measures, then $\left(\frac{\mu_n}{\left\|\mu_n\right\|}\right)_{n\in\mathbb N}$ is convergent as well.
This is at least true when $\mu_n$ is nonnegative for all $n\in\mathbb N$, but since the proof of this result utilizes the fact that $\left\|\mu_n\right\|=\mu_n(E)$, this doesn't seem to extend to the general case.
However, I'm especially interested in the following special case: Assume $E$ is a normed vector space and let $$\exp(\mu):=\sum_{k\in\mathbb N_0}\frac{\mu^{\ast k}}{k!},$$ where $\mu^{\ast k}$ denotes the $k$-fold convolution power, for $\mu\in\mathcal M(E)$.
I would like to know whether we can show that if $(\exp(\mu_n))_{n\in\mathbb N}$ is convergent, then $\left(\frac{\exp(\mu_n)}{\left\|\exp(\mu_n)\right\|}\right)_{n\in\mathbb N}$ is convergent as well.
Note that $\left\|\exp(\mu)\right\|=e^{\left\|\mu\right\|}$.