We discuss several applications, to large deviations for smooth functions o
f Gaussian random vectors, of a covariance representation in Gauss space. T
he existence of this type of representation characterizes Gaussian measures
. New representations for Bernoulli measures are also derived, recovering s
ome known inequalities.