The Gaussian or normal probability distribution plays an important role in the relationship between variance and entropy : it is a problem of the calculus of variations to show that this distribution maximizes entropy for a given variance, and at the same time minimizes the variance for a given entropy. In fact, for any probability density function ϕ ϕ on the real line, Shannon's entropy inequality specifies: