Tsallis Constantino
Centro Brasileiro de Pesquisas Físicas and National Institute of Science and Technology for Complex Systems-Rua Dr. Xavier Sigaud 150, Rio de Janeiro 22290-180, Brazil.
Santa Fe Institute-1399 Hyde Park Road, Santa Fe, NM 87501, USA.
Entropy (Basel). 2019 Jul 15;21(7):696. doi: 10.3390/e21070696.
The pillars of contemporary theoretical physics are classical mechanics, Maxwell electromagnetism, relativity, quantum mechanics, and Boltzmann-Gibbs (BG) statistical mechanics -including its connection with thermodynamics. The BG theory describes amazingly well the thermal equilibrium of a plethora of so-called simple systems. However, BG statistical mechanics and its basic additive entropy S B G started, in recent decades, to exhibit failures or inadequacies in an increasing number of complex systems. The emergence of such intriguing features became apparent in quantum systems as well, such as black holes and other area-law-like scenarios for the von Neumann entropy. In a different arena, the efficiency of the Shannon entropy-as the BG functional is currently called in engineering and communication theory-started to be perceived as not necessarily optimal in the processing of images (e.g., medical ones) and time series (e.g., economic ones). Such is the case in the presence of generic long-range space correlations, long memory, sub-exponential sensitivity to the initial conditions (hence vanishing largest Lyapunov exponents), and similar features. Finally, we witnessed, during the last two decades, an explosion of asymptotically scale-free complex networks. This wide range of important systems eventually gave support, since 1988, to the generalization of the BG theory. Nonadditive entropies generalizing the BG one and their consequences have been introduced and intensively studied worldwide. The present review focuses on these concepts and their predictions, verifications, and applications in physics and elsewhere. Some selected examples (in quantum information, high- and low-energy physics, low-dimensional nonlinear dynamical systems, earthquakes, turbulence, long-range interacting systems, and scale-free networks) illustrate successful applications. The grounding thermodynamical framework is briefly described as well.
当代理论物理学的支柱是经典力学、麦克斯韦电磁学、相对论、量子力学以及玻尔兹曼 - 吉布斯(BG)统计力学——包括其与热力学的联系。BG 理论极其出色地描述了大量所谓简单系统的热平衡。然而,近几十年来,BG 统计力学及其基本的加性熵(S_{BG})在越来越多的复杂系统中开始显现出失效或不足。这类有趣的特征在量子系统中也变得明显,比如黑洞以及冯·诺依曼熵的其他类似面积定律的情形。在另一个领域,香农熵(在工程和通信理论中,目前它被称为 BG 泛函)在处理图像(如医学图像)和时间序列(如经济时间序列)时,其效率开始被认为不一定是最优的。在存在一般的长程空间相关性、长记忆、对初始条件的亚指数敏感性(因此最大李雅普诺夫指数消失)以及类似特征的情况下就是如此。最后,在过去二十年里,我们见证了渐近无标度复杂网络的爆发式增长。自 1988 年以来,这一系列广泛的重要系统最终为 BG 理论的推广提供了支持。推广 BG 熵的非加性熵及其结果已在全球范围内被引入并深入研究。本综述聚焦于这些概念及其在物理学和其他领域的预测、验证和应用。一些选定的例子(量子信息、高能和低能物理、低维非线性动力系统、地震、湍流、长程相互作用系统以及无标度网络)说明了成功的应用。同时也简要描述了基础热力学框架。