Suppose $Z \in \mathcal{L}^1(P)$. I want to show that $(\mathbb{E}[Z\mid\mathcal{F}_t],\mathcal{F_t})_{t \geq0}$ is an uniformly integrable martingale.
I have managed to show to it is a martingale but I am stuck trying to show is uniformly integrable as well. I have tried looking at the sufficient condition that $$ \sup_{t\geq 0} \mathbb{E}[(\mathbb{E}[Z\mid\mathcal{F}_t])^2] < \infty $$ and my idea was to use Jensens inequality but that doesn't seem to work. I would also need to somehow use that $Z \in \mathcal{L}^1(P)$ as I haven't used that yet.
First, it suffices to consider the case where $Z$ is non-negative. Indeed, write $Z$ as the difference of two integrable non-negative random variables and use the fact that a sum of two uniformly integrable families is uniformly integrable.
For any $t\geqslant 0$ and $R>0$, the event $\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}$ is $\mathcal F_t$ measurable hence $$ \mathbb E\left[\mathbb E\left[Z\mid\mathcal F_t\right]\mathbf{1}_{\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}}\right]=\mathbb E\left[Z\mathbf{1}_{\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}}\right]. $$ Moreover, for each positive $K$, $$ \mathbb E\left[Z\mathbf{1}_{\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}}\right]\leqslant \mathbb E\left[Z\mathbf{1}_{\{Z>K\}}\right] +K\mathbb P\left(\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}\right) $$ hence by Markov's inequality, $$ \mathbb E\left[Z\mathbf{1}_{\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}}\right]\leqslant \mathbb E\left[Z\mathbf{1}_{\{Z>K\}}\right] +\frac{K}{R}\mathbb E\left[Z\right]. $$ We thus got that for each $R,K>0$, $$ \sup_{t\geqslant 0}\mathbb E\left[\mathbb E\left[Z\mid\mathcal F_t\right]\mathbf{1}_{\{\mathbb E\left[Z\mid\mathcal F_t\right]>R\}}\right]\leqslant \mathbb E\left[Z\mathbf{1}_{\{Z>K\}}\right] +\frac{K}{R}\mathbb E\left[Z\right]. $$ Now take $K=\sqrt R$ for example.