When may a system be referred to as complex?—an entropic perspective

Abstract

Defining complexity is hard and far from unique—like defining beauty, intelligence, creativity, and many other such abstract concepts. In contrast, describing concrete complex systems is a sensibly simpler task. We focus here on such an issue from the perspective of entropic functionals, either additive or nonadditive. Indeed, for the systems currently referred to as simple, the statistical mechanics and associated (additive) entropy is that of Boltzmann–Gibbs, formulated 150 years ago. This formalism constitutes a pillar of contemporary theoretical physics and is typically grounded on strong chaos, mixing, ergodicity, and similar hypotheses, which typically emerge for systems with short-range space–time generic correlations. It fails, however, for the so-called complex systems, where generic long-range space–time correlations prevail, typically grounded on weak chaos. Many such nontrivial systems are satisfactorily handled within a generalization of the Boltzmann–Gibbs theory, namely, nonextensive statistical mechanics, introduced in 1988 and grounded on nonadditive entropies. Illustrations are presented in terms of D-dimensional simplexes such as nodes (D = 0), bonds (D = 1), plaquettes (D = 2), polyhedra (D = 3, …), and higher-order ones. A regularly updated bibliography is available at http://tsallis.cat.cbpf.br/biblio.htm.

Characterizing Complex Spatiotemporal Patterns from Entropy Measures

“…Entropy, derived from the probability distribution of the states of a process or system, can be interpreted as a quantitative measure of randomness or disorder, offering deep insights into the underlying dynamics of several complex systems (see, for instance, Refs. [ 1 , 2 , 3 , 4 , 5 , 6 ]).…”

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“…Similar considerations, essentially based on the remark that in the GEP we do not calculate the entropy of the whole system, can be repeated for nonadditive entropic functionals, see e.g. [35] and references therein.…”