The coupled entropy is proven to uniquely satisfy the requirement that a generalized entropy be equivalent to the density at the scale for scale-shape distributions. Further, its maximizing distributions, the coupled stretched exponential distributions, are proven to quantify the linear uncertainty with the scale and the nonlinear uncertainty with the shape for a broad class of complex systems. Distributions of the coupled exponentials include the Pareto Types I-IV and Gosset's Student-t. For the Pareto Type II distribution, the Boltzmann-Gibbs-Shannon entropy has a linear dependence on the shape, which dominates over the logarithmic dependence on the scale, motivating the need for a generalization. The Rényi and Tsallis entropies are shown to be of historic importance but ultimately unsatisfactory generalizations. The coupled entropy of the coupled stretched exponential distribution isolates the nonlinear-shape dependence to a generalized logarithm of the partition function. The Rényi and Tsallis entropies retain a strong dependence on the nonlinear-shape such that they are not equivalent to the uncertainty at the scale. Lemmas for the composability and extensivity of the coupled entropy are proven in support of an axiomatic definition. The scope of the coupled entropy includes systems in which the growth of states is power-law, stretched exponential, or a combination.

翻译：暂无翻译