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On multidimensional generalized Cramér-Rao inequalities, uncertainty relations and characterizations of generalized q-Gaussian distributions

机译:关于多维广义Cramér-Rao不等式,不确定性关系和广义q-高斯分布的刻画

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摘要

In the present work, we show how the generalized Cramer-Rao inequality for the estimation of a parameter, presented in a recent paper, can be extended to the multidimensional case with general norms on Rn, and to a wider context. As a particular case, we obtain a new multidimensional Cramer-Rao inequality which is saturated by generalized q-Gaussian distributions. We also give another related Cramer-Rao inequality, for a general norm, which is saturated as well by these distributions. Finally, we derive uncertainty relations from these Cramer-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 q-Gaussian distributions. These results introduce extended versions of Fisher information, new Cramer-Rao inequalities, and new characterizations of generalized q-Gaussian distributions which are important in several areas of physics and mathematics.
机译:在当前的工作中,我们展示了如何在最近的论文中提出的用于估计参数的广义Cramer-Rao不等式可以扩展到在Rn上具有一般范数的多维情况和更广泛的上下文。作为一个特例,我们获得了一个新的多维Cramer-Rao不等式,该不等式被广义q-Gaussian分布所饱和。对于一般范数,我们还给出了另一个相关的Cramer-Rao不等式,这些不等式也因这些分布而饱和。最后,我们从这些Cramer-Rao不等式导出不确定性关系。这些不确定性关系涉及相对于伴游分布计算出的矩,并且我们证明了其中一些关系已被广义q-Gaussian分布所饱和。这些结果引入了Fisher信息的扩展版本,新的Cramer-Rao不等式以及广义q-Gaussian分布的新特征,这些特征在物理和数学的多个领域中都很重要。

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