首页> 外文期刊>Journal of Mathematical Physics >On a (β, q)-generalized Fisher information and inequalities involving q-Gaussian distributions
【24h】

On a (β, q)-generalized Fisher information and inequalities involving q-Gaussian distributions

机译:关于(β,q)广义Fisher信息和涉及q-高斯分布的不等式

获取原文
获取原文并翻译 | 示例
           

摘要

In the present paper, we would like to draw attention to a possible generalized Fisher information that fits well in the formalism of nonextensive thermostatistics. This generalized Fisher information is defined for densities onRn. Just as themaximum R′enyi or Tsallis entropy subject to an elliptic moment constraint is a generalized q-Gaussian, we show that theminimization of the generalized Fisher information also leads a generalized q-Gaussian. This yields a generalized Cram′er-Rao inequality. In addition, we show that the generalized Fisher information naturally pops up in a simple inequality that links the generalized entropies, the generalized Fisher information, and an elliptic moment. Finally, we give an extended Stam inequality. In this series of results, the extremal functions are the generalized q-Gaussians. Thus, these results complement the classical characterization of the generalized q-Gaussian and introduce a generalized Fisher information as a new information measure in nonextensive thermostatistics.
机译:在本文中,我们想提请注意可能适用于广义非稳态温度统计形式的广义Fisher信息。此广义Fisher信息是针对Rn的密度定义的。正如受到椭圆矩约束的最大R'enyi或Tsallis熵是广义q-Gaussian一样,我们证明了广义Fisher信息的最小化也导致了广义q-Gaussian。这产生了广义的Cram'er-Rao不等式。此外,我们表明,广义Fisher信息自然会以简单的不等式弹出,该不等式将广义熵,广义Fisher信息和椭圆矩联系起来。最后,我们扩展了Stam不等式。在这一系列结果中,极值函数是广义q高斯函数。因此,这些结果补充了广义q-Gaussian的经典特征,并引入了广义Fisher信息作为非广义温度统计中的新信息度量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号