  We prove a log-Sobolev inequality for a certain class of log-concave measures
in high dimension. These are the probability measures supported on the unit
cube in R^n whose density takes the form exp(-H) where the function H is
assumed to be convex (but not strictly convex) with bounded pure second
derivatives. Our argument relies on a transportation-cost inequality a la
Talagrand.
