  We show sharpened forms of the concentration of measure phenomenon centered
at first order stochastic expansions. The bound are based on second order
difference operators and second order derivatives. Applications to functions on
the discrete cube and stochastic Hoeffding type expansions in mathematical
statistics are studied as well as linear eigenvalue statistics in random matrix
theory.
