Expectation of Integrals of Brownian Motion

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Hello I am not a native english speaker so please let me know if something does not make sense. I am interested in computing the following:

$$E\int_0^T(B_s(\omega,t))^4dt$$

Or at least showing it is finite because I want to prove that $(B_s(\omega,t))^2\in\mathcal H[0,T]$. Thank you.

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Hint Apply Tonelli's theorem and use that $\mathbb{E}(B_t^4)=3t^2$ as $B_t$ is Gaussian with mean $0$ and variance $t$.


Remark Please note that the expression $B_s(\omega,t)$ does not make sense at all. The Brownian motion depends on the time (usually denoted by $t$) and the "random" $\omega$. So, in your case, it should read

$$\mathbb{E} \int_0^T B_t^4 \, dt \qquad \text{or} \qquad \mathbb{E}\int_0^T B(t)^4 \, dt$$

or

$$\int\!\!\! \int_0^T B_t(\omega)^4 \, dt \, d\mathbb{P}(\omega) \qquad \text{or} \int\!\!\! \int_0^T B(t,\omega)^4 \, dt \, d\mathbb{P}(\omega)$$

(Mind that $\mathbb{E}X = \int X(\omega) \, d\mathbb{P}(\omega)$; it is not correct to write $\mathbb{E}X(\omega)$ for some random variable $X$.)