Let $ N = \{1,2,3, \ldots \}$. We define $\varphi : N^N \mapsto [0,1]$ as $$ \varphi \left( (a_n)_{n \in_N} \right) = [0;a_1, a_2, \ldots ]$$ Where the expression on the right is a infinite continued fraction: $$[0;a_1,a_2,a_3,\dotsc] = \cfrac{1}{a_1+\cfrac{1}{a_2+\cfrac{1}{a_3+\cdots}}}$$ It is standard exercise that this is borel mapping (continuous in fact, see here).
We define the Gauss measure on $[0,1]$ as: $$ d\nu = \frac{1}{\ln(2)}\,\frac{dx}{1+x} $$
Let $\mu$ be a probability measure on $N$. By a product measure on $N^N$ i mean probabilistic measure $\widetilde { \mu }$ such that for any set of the form $F = F_1 \times \cdots \times F_n \times N \times N \times \cdots$ holds equality $$ \widetilde {\mu } (F) = \prod_{n=1}^n \mu (F_k) $$ Such a measure exists and is unique due to teorem about extending funtion on ring to a measure.
I am to prove that the Gauss measure $\nu$ is not a pushforward of any such measure $\mu$, meaning that for any $\mu$ the equality $$ \nu( A ) = \mu ( \varphi^{-1} [A])$$ cannot hold for every borel $A \subset [0,1]$.
I am looking for any help. I have no experience with infinite measure products. This is an exercise for my ergodic theory course.
I had obtained a tip that i don't understand:
Product measure has the property that basis clopen sets with disjoint supports are stochastically independent. Gauss measure does not have this property.