The following is from Pinsky & Karlin's $\textit{Introduction to Stochastic Modelling}$:
Consider a standard Brownian motion $\{B(t); t ≥ 0\}$ at times $0 < u < u + v < u + v + w,$ where $u, v, w > 0.$
(a) Evaluate the product moment $\mathbb{E}[B(u)B(u + v)B(u + v + w)]$.
(b) Evaluate the product moment $\mathbb{E}[B(u)B(u + v)B(u + v + w)B(u + v + w + x)]$ where $x > 0$.
I tried to approach this question by separating the Brownian motions: $$B(u+v) = B(u) + (B(u+v) - B(u)) $$and$$ B(u+v+w) = B(u) + (B(u+v) - B(u)) + (B(u+v+w) - B(u+v))$$ and then substituting them back into the expectation.
From which I obtained the following:
$E[B(u) B(u+v) B(u+v+w)] = E[ B(u) (B(u) + (B(u+v) - B(u))) (B(u)$
$\hspace{6.3cm}$$ + (B(u+v) - B(u)) + (B(u+v+w) - B(u+v))) ]$
But I am stuck at this point.. How can I proceed from here for part (a)? Also, for part (b), is the approach the same as above? Thanks and some clarifications will be great.
Hints: