A generalized entropy characterization of N -dimensional fractal control systems

Abstract

It is presented the general properties of N-dimensional multi-component or many-particle systems exhibiting self-similar hierarchical structure. Assuming there exists an optimal coarse-graining scale at which the quality and diversity of the (box-counting) fractal dimensions exhibited by a given system are optimized, it is computed the generalized entropy of each hypercube of the partitioned system and shown that its shape is universal, as it also exhibits self-similarity and hence does not depend on the dimensionality N . For certain systems this shape may also be associated with the large time stationary profile of the fractal density distribution in the absence of external fields (or control).

6 pages, 4 figures This work has been submitted for publication to the proceedings of The Latin American Congress on Computational Intelligence (http://la-cci.org/)