Abe Sumiyoshi
Institute of Physics, University of Tsukuba, Ibaraki 305-8571, Japan.
Phys Rev E Stat Nonlin Soft Matter Phys. 2002 Oct;66(4 Pt 2):046134. doi: 10.1103/PhysRevE.66.046134. Epub 2002 Oct 24.
The q-exponential distributions, which are generalizations of the Zipf-Mandelbrot power-law distribution, are frequently encountered in complex systems at their stationary states. From the viewpoint of the principle of maximum entropy, they can apparently be derived from three different generalized entropies: the Rényi entropy, the Tsallis entropy, and the normalized Tsallis entropy. Accordingly, mere fittings of observed data by the q-exponential distributions do not lead to identification of the correct physical entropy. Here, stabilities of these entropies, i.e., their behaviors under arbitrary small deformation of a distribution, are examined. It is shown that, among the three, the Tsallis entropy is stable and can provide an entropic basis for the q-exponential distributions, whereas the others are unstable and cannot represent any experimentally observable quantities.
q指数分布是齐普夫-曼德尔布罗特幂律分布的推广,在复杂系统的稳态中经常出现。从最大熵原理的角度来看,它们显然可以从三种不同的广义熵推导出来:雷尼熵、Tsallis熵和归一化Tsallis熵。因此,仅用q指数分布对观测数据进行拟合并不能确定正确的物理熵。在此,研究了这些熵的稳定性,即它们在分布的任意小变形下的行为。结果表明,在这三种熵中,Tsallis熵是稳定的,可为q指数分布提供熵的基础,而其他熵是不稳定的,不能代表任何实验可观测的量。