Derivative of a stochastic process

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I'm reading a engeneering book (Turbulent Flow - Pope) and it isn't very rigorous.

Let $X(t)$ be a casual variable, for every fixed $t\in \mathbb{R}$.

How can we define the derivative with respect to $t$?

What are the assumptions that allow $\partial_t\mathbb{E}[X]=\mathbb{E}[\partial_tX]$