For a stochastic process with trajectories in $C[0,1]$ why is it that convergence of the finite dimensional distributions is not sufficient for weak convergence,unless we also have relative compactness, however it is sufficient for a sequence of random variables. Every book simply quotes Billingsley but none explains why this is the case, and I can't figure it out,
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