Convergence in Expectation

Definition (Convergence in Expectation)

Let (Ω,F)(\Omega,\mathcal{F}) be a Measurable Space. Let (Xn)nN(X_{n})_{n\in\mathbb{N}} be a sequence of rvs with densities (fn)nN(f_{n})_{n\in\mathbb{N}} and let XX be another rv with density ff. We say XnX_{n} converges to XX in mean to the order pp if they converge in Lp: fnfp0,1p<\lVert f_{n}-f \rVert_{p} \to0 ,\,1\le p<\inftyor E[fnfp]=Rfn(x)f(x)pμ(dx)0\mathbb{E}[|f_{n}-f|^{p}]=\int\limits _{\mathbb{R}}\left| f_{n}(x)-f(x) \right|^{p} \, \mu(dx) \to 0written as XnLpX.X_{n}\xrightarrow{L^{p}}X.

Linked from