  In this paper, we prove an asymptotic expansion for the ratio of the
Dirichlet density to the multivariate normal density with the same mean and
covariance matrix. The expansion is then used to derive an upper bound on the
total variation between the corresponding probability measures. Other potential
applications are briefly discussed.
