Sharp variance-entropy comparison for nonnegative gaussian quadratic forms

In this article we study quadratic forms in n independent standard normal random variables. We show that among nonnegative quadratic forms, a diagonal form with equal coefficients maximizes differential entropy when variance is fixed. As a consequence, we provide a sharp lower bound for the relative entropy between a nonnegative quadratic form and a Gaussian random variable.