Let $(X, \mathcal{A}, \mu)$ and $(Y, \mathcal{B}, \nu)$ be two probability spaces and $\pi: X \rightarrow Y$ be a measure preserving function (not necessarily invertible). Can we conclude there exists a measurable set $Y'\subset Y$, $\nu(Y')=1$, such that $Y'\subset Img(\pi)$?
Can we conclude it using more assumptions? In my case, $Y = \{0,1\}^\mathbb{N}$, equipped with the product $\sigma$-algebra (of the discrete $\sigma$-algebra), and $\nu$ is the product Bernoulli measure. I think this probability space is not complete. The other probability space is anything.
In general, we don't know if $Img(\pi)$ is measurable or not (if it was, the question was over). But we know any set $S$ of positive measure won't be disjoint of $Img(\pi)$, because $\mu(\pi^{-1}(S)) = \nu(S) >0$, so $\pi^{-1}(S) \neq \emptyset$ and there exists $x \in X$ so that $\pi(x) \in S$.
Any help is appreciated. Thanks.
Just answering the first question.
The important thing is whether the image of $\pi$ is Lebesgue measurable, i.e. has inner measure $1.$ If it has inner measure less than $1$ then such a $Y'$ cannot exist.
The answer to the first question is no. From Fremlin's Measure Theory section 235H, "The image measure catastrophe", with minor changes to notation to match yours:
Since $\phi(X)=X$ is non-measurable, its inner measure is less than $1.$