Abstract
The complexity of a system may have numerous aspects, and the problems to define complexity in a generally relevant manner seem to increase self-similarly with the intensity of corresponding efforts. In this sense it is certainly a complex task to provide a compulsory concept of the notion of complexity. In the present contribution we deal with dimensions as measures of complexity. Mathematically the concept of dimensions reflects the scaling properties of point distributions on a given support. Speaking in terms of physical systems, this support is usually a vector space. Studying the structural properties of a system refers simply to structures in position space, whereas functional properties of a system are related to the structure of its dynamics in phase space.
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Atmanspacher, H., Demmel, V., Morfill, G., Scheingraber, H., Voges, W., Wiedenmann, G. (1989). Measures of Dimensions from Astrophysical Data. In: Abraham, N.B., Albano, A.M., Passamante, A., Rapp, P.E. (eds) Measures of Complexity and Chaos. NATO ASI Series, vol 208. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0623-9_3
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