On multidimensional generalized Cram\'er-Rao inequalities, uncertainty relations and characterizations of generalized $q$-Gaussian distributions
J.-F. Bercher

TL;DR
This paper extends multidimensional Cramér-Rao inequalities using general norms, introduces new uncertainty relations involving escort distributions, and characterizes generalized q-Gaussian distributions as saturating these inequalities.
Contribution
It generalizes Cramér-Rao inequalities to multidimensional settings with arbitrary norms and establishes new characterizations of generalized q-Gaussian distributions.
Findings
Derived a new multidimensional Cramér-Rao inequality saturated by q-Gaussians.
Established uncertainty relations involving escort distribution moments.
Characterized generalized q-Gaussian distributions through these inequalities.
Abstract
In the present work, we show how the generalized Cram\'er-Rao inequality for the estimation of a parameter, presented in a recent paper, can be extended to the mutidimensional case with general norms on , and to a wider context. As a particular case, we obtain a new multidimensional Cram\'er-Rao inequality which is saturated by generalized -Gaussian distributions. We also give another related Cram\'er-Rao inequality, for a general norm, which is saturated as well by these distributions. Finally, we derive uncertainty relations from these Cram\'er-Rao inequalities. These uncertainty relations involve moments computed with respect to escort distributions, and we show that some of these relations are saturated by generalized -Gaussian distributions. These results introduce extended versions of Fisher information, new Cram\'er-Rao inequalities, and new…
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