  We show how convergence to the Gumbel distribution in an extreme value
setting can be understood in an information-theoretic sense. We introduce a new
type of score function which behaves well under the maximum operation, and
which implies simple expressions for entropy and relative entropy. We show
that, assuming certain properties of the von Mises representation, convergence
to the Gumbel can be proved in the strong sense of relative entropy.
