I am intrigued by the following statement in Oksendal , Stochastic differential equations, Chapter 3:
(A)
There does not exist a 'reasonable' stochastic process satisfying the following conditions:
(i) $t_1 \ne t_2 \implies$ $W_{t_1}$ and $W_{t_2}$ are independent
(ii) $W_t$ is stationary ie the joint distribution of $\{W_{{t_1}+t}...W_{{t_k}+t}\}$ does not depend on t
(B)
Moreover if we require $E[W_t^2]=1$ then the function $(t,\omega)\rightarrow W_t(\omega) $ cannot be measurable with respect to the $\sigma$-algebra $B \text{ x } F$ where $B$ is the Borel $\sigma$-algebra on $[0,\infty[ $ (See Kallianpur 1980 p10)
I do not have access to that reference. Is there another one that someone could suggest to explain these statements?
Here is the desired result, still looking for an answer worth a bounty as this answer could use additional explanation. For instance:
After the part about applying Fubini's theorem,
It says $\int_I X_t(\omega)dt = 0$ for $\omega \notin N_I$ where $P(N_I) = 0$, then they construct this union $N = \cup_I N_I$ such that $P(N) = 0$-- it is not entirely clear why the introduction of $N$.
Nonetheless here is the result