It is easy to show that if we have n independent normally distributed random variables, then a linear combination fo them ar normally distributed.

It is also said that if (x1,x2,..,xn) is multivariate normally distributed, but not nececarrily independent, then any linear combination is also normally distributed. This is stated here: <http://en.wikipedia.org/wiki/Multivariate_normal_distribution#Definition>

But does this mean that any linear combination of normally distributed random variables are normally distributed, even if they are not independent? This will follow from the definition if the joint distribution of set of normally distributed random variables(not nececarrily independent) are jointly multivarite distributed?