Weak convergence

Definition (Weak Convergence)

Let X\mathbb{X} be a Polish space and let P(X)\mathcal{P}(\mathbb{X}) denote the family of all Probability Measures on (X,B(X))(\mathbb{X},\mathcal{B}(\mathbb{X})). Let {μn}nNP(X)\{ \mu_{n} \}_{n\in\mathbb{N}}\subset \mathcal{P}(\mathbb{X}) be a sequence of Borel measures. We say μnμP(X)\mu_{n}\to \mu\in\mathcal{P}(\mathbb{X}) weakly if Xc(x)μn(dx)Xc(x)μ(dx)\int\limits _{\mathbb{X}}c(x) \, \mu_{n}(dx)\to \int\limits _{\mathbb{X}}c(x) \, \mu(dx) for every Continuous and bounded c:XRc:\mathbb{X}\to \mathbb{R}.

Note

This is closely related to Convergence in Distribution which is pretty much weak convergence for Random Variables.

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