Are the bounded continuous functions separating for the set of probability measures

measure-theoryprobability theory

Let $(E,\mathcal E)$ be a measurable space and $\mathcal M_1(E,\mathcal E)$ denote the space of probability measures on $(E,\mathcal E)$. A class $\mathcal C$ of real-valued bounded $\mathcal E$-measurable functions on $E$ is called separating for $\mathcal M_1(E,\mathcal E)$ if $$\left(\forall f\in\mathcal C:\int f\:{\rm d}(\mu-\nu)=0\right)\Rightarrow \mu=\nu\tag1$$ for all $\mu,\nu\in\mathcal M_1(E,\mathcal E)$.

Assume $E$ is a metric space and $\mathcal E=\mathcal B(E)$. I know that if consider the set $\tilde{\mathcal M}_1(E,\mathcal E)$ of Radon probability measures on $(E,\mathcal E)$, then the set of $[0,1]$-valued Lipschitz functions on $E$ with Lipschitz constant $1$ is separating for $\tilde{\mathcal M}_1(E,\mathcal E)$.

Can we generally show the weaker result that the set of $C_b(E)$ of real-valued bounded continuous on $E$ is separating for $\mathcal M_1(E,\mathcal E)$? If not, is there at least an easier proof for the claim "$C_b(E)$ is separating for $\tilde{\mathcal M}_1(E,\mathcal E)$" available?

Best Answer

Lemma. If $\mu(F) = \nu(F)$ for all closed subsets $F$ of $E$, then $\mu = \nu$.

Sketch of the proof. The set of all subsets $A$ of $E$ such that $\mu(A) = \nu(A)$ is a $\lambda$-system. It contains the closed subsets, which form a $\pi$-system that generates the Borel $\sigma$-algebra. Use the $\pi-\lambda$ theorem to conclude.

Lemma If $\int f \mathrm{d}\mu = \int f \mathrm{d}\nu$ for every $f \in C_b(E)$, then $\mu(F) = \nu(F)$ for all closed subsets $F$ of $E$.

Sketch of the proof. Let $F \subset E$ be closed. For each integer $n \geqslant 1$, let $f_n \colon E \to \mathbb{R}$ be the function defined by $f_n(x) = \min\{n d(x,F), 1\}$. Then $f_n$ is in $C_b(E)$ and the sequence $(f_n)$ converges pointwise to $\mathbf{1}_F$, and is decreasing: $f_n(x) \downarrow \mathbf{1}_F(x)$. By the Beppo-Levi theorem (monotone convergence), $\int f_n \mathrm{d}\mu \to \mu(F)$ and $\int f_n \mathrm{d}\nu \to \nu(F)$.