A random vector $X$ is defined to be multivariate normal, if any linear combination of its components is a 1-dimensional normal distributed.
I wonder when partitioning $X$ into $(X_1, X_2)$, if $X_1$ conditional on $X_2$ equal any value is multivariate normal and $X_2$ is multivariate normal, is $X$ multivariate normal?
Thanks!