On Rényi measures and hypothesis testing

We provide a variational characterization for the various Rényi information measures via their Shannon counterparts, and demonstrate how properties of the former can be recovered from first principle via the associated properties of the latter. Motivated by this characterization, we give a new operational interpretation for the Rényi divergence in a two-sensor composite hypothesis testing framework.