I'm struggling with the understanding of the properties of a Radon-Nykodym Derivative process. In my example we defined the probability measure $\mathbb{Q}[A]=\int_A Z(\omega) d\mathbb{P}(\omega)$. Then Z is the Radon-Nykodym derivative of $\mathbb{Q}$ w.r.t. $\mathbb{P}$ and $Z_t=E_\mathbb{P}[Z|\mathcal{F}_t]$ is a Radon-Nykodym derivative process, I saw that then the conditional expectation: $$E_\mathbb{Q}[Y|\mathcal{F}_t]=\frac{1}{Z_t} E_\mathbb{P} [YZ_s|\mathcal{F_t}]$$ asuming here that Y is $\mathcal{F}_s$ measurable where $s \geq t$.
I startet with a event $A \in \mathcal{F}_t$. Then: $$ E_\mathbb{Q}[Y|\mathcal{F}_t]=E_\mathbb{Q}[Y 1_A]=E_P[YZ_t1_A]=E_P[E_P[YZ_t1_A|\mathcal{F_t}]$$ But then I couldn't do it further, because then I would take out $Z_t$ but this would make no sense, when looking at the equation. Could somebody help me? Thank you!
Thank you!