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On escort distributions, q-gaussians and Fisherinformation

机译:关于护送分布,Q-Gaussians和FisherInformation

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Escort distributions are a simple one parameter deformation of an original distribution p. In Tsallis extended thermostatistics, the escort-averages, defined with respect to an escort dis-tribution, have revealed useful in order to obtain analytical results and variational equations, with in particular the equilibrium distributions obtained as maxima of Renyi-Tsallis entropy subject to constraints in the form of a q-average. A central example is the q-gaussian, which is a generalization of the standard gaussian distribution.In this contribution, we show that escort distributions emerge naturally as a maximum entropy trade-off between the distribution p(x) and the uniform distribution. This setting may typically describe a phase transition between two states. But escort distributions also appear in the fields of multifractal analysis, quantization and coding with interesting consequences. For the problem of coding, we recall a source coding theorem by Campbell relating a generalized measure of length to the Renyi-Tsallis entropy and exhibit the links with escort distributions together with pratical implications.That q-gaussians arise from the maximization of Renyi-Tsallis entropy subject to a q-variance constraint is a known fact. We show here that the (squared) q-gaussian also appear as a minimum of Fisher information subject to the same q-variance constraint.
机译:护送分布是原始分发P的简单参数变形。在Tsallis扩展恒温器中,对由护送歧视的护送平均值揭示了有用的是为了获得分析结果和变分方程,特别是作为Renyi-Tsallis熵的Maxima获得的平衡分布,受到限制的限制以Q-均值的形式。中央示例是Q-Gaussian,这是标准高斯分布的概括。在这种贡献中,我们表明护送分布自然出现在分布P(x)和均匀分布之间的最大熵权。该设置通常可以描述两个状态之间的相位转换。但护送分布也出现在多重分析,量化和编码领域,具有有趣的后果。对于编码的问题,我们通过Campbell回顾一个源码编码定理,将长度的广义测量与Renyi-Tsallis熵相关,并与经过实际影响一起展示了与护送分布的链接。这是从瑞尼西 - Tsallis的最大化产生的Q-Gaussians受q-veriance约束的熵是已知的事实。在这里,我们在这里展示(Squared)Q-Gaussian也出现在相同的Q-veriance约束的最小Fisher信息中。

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