Separating inequalities for non-negative covariances

We demonstrate explicit inequalities which separate covariances generated by non-negative stochastic processes from the class consisting of all non-negative covariances. The first class of covariances corresponds to completely positive matrices whereas the second class corresponds to doubly non-negative matrices. A key ingredient in our analysis is a new result the "convexity" of quatratic functions defined on the surface of a sphere.