A de Bruijn identity for symmetric stable laws

Abstract

We show how some attractive information--theoretic properties of Gaussians pass over to more general families of stable densities. We define a new score function for symmetric stable laws, and use it to give a stable version of the heat equation. Using this, we derive a version of the de Bruijn identity, allowing us to write the derivative of relative entropy as an inner product of score functions. We discuss maximum entropy properties of symmetric stable densities.

References in corpus (2)

• Rate of convergence and Edgeworth-type expansion in the entropic central limit theorem
• Discrete versions of the transport equation and the Shepp-Olkin conjecture

Cited by in corpus (2)

• Entropy and thinning of discrete random variables
• Mutual Information, Relative Entropy and Estimation Error in Semi-martingale Channels