Abstract

“Dynamic complexity” is a phenomenon observed for a nonlinearly interacting system within which multitudes of different sizes of large scale coherent structures emerge, resulting in a globally nonlinear stochastic behavior vastly different from that which could be surmised from the underlying equations of interaction. A characteristic of such nonlinear, complex phenomena is the appearance of intermittent fluctuating events with the mixing and distribution of correlated structures on all scales. We briefly review here a relatively recent method, ROMA (rank-ordered multifractal analysis), explicitly developed for analysis of the intricate details of the distribution and scaling of such types of intermittent structure. This method is then used for analysis of selected examples related to the dynamic plasmas of the cusp region of the Earth’s magnetosphere, velocity fluctuations of classical hydrodynamic turbulence, and the distribution of the structures of the cosmic gas obtained by use of large-scale, moving mesh simulations. Differences and similarities of the analyzed results among these complex systems will be contrasted and highlighted. The first two examples have direct relevance to the Earth’s environment (i.e., geoscience) and are summaries of previously reported findings. The third example, although involving phenomena with much larger spatiotemporal scales, with its highly compressible turbulent behavior and the unique simulation technique employed in generating the data, provides direct motivation for applying such analysis to studies of similar multifractal processes in extreme environments of near-Earth surroundings. These new results are both exciting and intriguing.

Highlights

  • This method is applied to the analyses of selected examples related to the dynamical plasmas of the cusp region of the Earth’s magnetosphere, velocity fluctuations of classical hydrodynamic turbulence, and the distribution of the structures of the cosmic gas obtained through large scale, moving mesh simulations

  • If such a value of s exists, we have found one region of the multifractal spectrum of the fluctuations such that the probability distribution functions (PDFs) in the range of Y collapses onto one scaled PDF

  • We have shown that rank-ordered multifractal analysis (ROMA) could be useful in the analysis of fluid turbulence (Chang et al, 2010)

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Summary

Introduction

This method is applied to the analyses of selected examples related to the dynamical plasmas of the cusp region of the Earth’s magnetosphere, velocity fluctuations of classical hydrodynamic turbulence, and the distribution of the structures of the cosmic gas obtained through large scale, moving mesh simulations. 15 demonstrate that in the inertial range the PDFs of the analyzed fluid turbulence exhibit multifractal scaling that can be described using the ROMA decomposition analysis. Some studies of the intermittent (i.e., non-self-similar) fluctuations of the cosmic structure of the baryonic gas in terms of the traditional methods of structure and partition function analyses based on the simulated results have been reported, (Zhu et al, 2011, and references contained therein).

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