Statistical features of the Stretched Exponentials Densities
Statistical features of the Stretched Exponentials Densities
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拉伸指数密度的统计特征
DOI：
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发表时间：
2013
期刊：
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通讯作者：
J. Luévano
中科院分区：
文献类型：
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作者：
J. Luévano
从最大熵原理导出了拉伸指数概率密度。信息熵受到约束，使得v矩，|X| v是有限的。还计算了高阶矩。并且满足中心极限定理的条件。从物理的角度，我们讨论了熵定义与复杂系统相关的定态的作用。
A derivation of the Stretched Exponentials Probability Densities from a maximum entropy principle is given. The informational entropy is constrained such that the v-moment, ⟨|x|v⟩, must be finite. Also higher order moments are computed. Moreover, conditions for a central limit theorem are satified. From the physical point of view, we discuss the role of the entropy defining stationary states associated to complex systems.