Consider a probability space $\left(\Omega,\mathcal{F},P\right) $, and a sub-sigma-algebra $\mathcal{G}\subseteq\mathcal{F} $. As usual, let $L^{2}\left(\Omega,\mathcal{F},P\right) $ be the space of $\mathcal{F} $-measurable, square integrable random variable and $L^{\infty}\left(\Omega,\mathcal{G},P\right) $ be the space of $\mathcal{G} $-measurable, essentally bounded random variables. Define:$$L^{2,\infty}=\left\{ f\in L^{2}\left(\Omega,\mathcal{F},P\right):\, E\left(f^{2}\mid\mathcal{G}\right)\in L^{\infty}\left(\Omega,\mathcal{G},P\right)\right\} . $$Define also the norm $\left\Vert \cdot\right\Vert _{2} $ on $L^{2}\left(\Omega,\mathcal{F},P\right) $ by$$\left\Vert f\right\Vert _{2}=\sqrt{E\left(f^{2}\right)}\qquad\forall f\in L^{2}\left(\Omega,\mathcal{F},P\right). $$My question is the following: is $L^{2,\infty} $ $\left\Vert \cdot\right\Vert _{2} $-complete?
Observe that, being $L^{2}\left(\Omega,\mathcal{F},P\right) $ complete, it would be sufficient to prove that, for every sequence $\left(f_{n}\right)_{n\in\mathbb{N}}\subseteq L^{2,\infty} $ such that $f_{n}\stackrel{\left\Vert \cdot\right\Vert _{2}}{\longrightarrow}f\in L^{2}\left(\Omega,\mathcal{F},P\right) $, we have $E\left(f\mid\mathcal{G}\right)\in L^{\infty}\left(\Omega,\mathcal{G},P\right) $. Also notice that, if $f_{n}\stackrel{\left\Vert \cdot\right\Vert _{2}}{\longrightarrow}f\in L^{2}\left(\Omega,\mathcal{F},P\right) $, by a standard probability theoretic argument we have that there exists a subsequence $\left(f_{n_{k}}\right)_{k\in\mathbb{N}} $ such that $f_{n_{k}}\stackrel{\left\Vert \cdot\right\Vert _{2}}{\longrightarrow}f $ almost surely; thus, it would be sufficient to prove that there extists an $M>0 $ such that $f_{n_{k}}<M $ almost surely for every $k $.
Any suggestion? Thank you!
Actually, taking $\mathcal G:=\mathcal F$, the question reduces to ask whether $L^\infty$ is complete when it is endowed with the $L^2$ norm. Take $X\in L^2\setminus L^\infty$ and define $X_n:=X\chi\{|X|\lt n\}$, which belongs to $L^\infty$. Then the sequence $(X_n)$ is Cauchy for the $L^2$-norm and it converges to $X$ (for this norm) which is not in $L^\infty$.