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 characterizations of generalized -Gaussian distributions which are important in several areas of physics and mathematics.

生成讲解博客的中文版本

生成AI智能校验的中文版本