Summary: The expression for the mutual information for a mixture of two multivariate normal distributions is derived without the assumption that the two component normals be widely separated. This is achieved by splitting the sample space of the distribution into two disjoint subspaces in which the series expansion for \(\ln(1+y)\) is valid.