Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2011-07-06
Phys. Rev. E 85, 046209 (2012)
Nonlinear Sciences
Adaptation and Self-Organizing Systems
13 pages, 5 figures, accepted by Phys. Rev. E
Scientific paper
10.1103/PhysRevE.85.046209
We study correlation measures for complex systems. First, we investigate some recently proposed measures based on information geometry. We show that these measures can increase under local transformations as well as under discarding particles, thereby questioning their interpretation as a quantifier for complexity or correlations. We then propose a refined definition of these measures, investigate its properties and discuss its numerical evaluation. As an example, we study coupled logistic maps and study the behavior of the different measures for that case. Finally, we investigate other local effects during the coarse graining of the complex system.
Galla Tobias
Gühne Otfried
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