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Multi-level scalar structure in complex system analyses

Fluid Dynamics 2020-05-27 v2 Data Analysis, Statistics and Probability Computation

Abstract

The geometrical structure is among the most fundamental ingredients in understanding complex systems. Is there any systematic approach in defining structures quantitatively, rather than illustratively? If yes, what are the basic principles to follow? By introducing the concept of extremal points at different scale levels, a multi-level dissipation element approach has been developed to define structures at different scale levels, in accordance with the concept of structure hierarchy. Each dissipation element can be characterized by the length scale and the scalar variance inside. Using the two-dimensional fractal Brownian motion as a benchmark case, the conditional mean of the scalar difference with respect to the length scale shows clearly a power law and the scaling exponent is in agreement with the Hurst number. For the 3D turbulence velocity component, the 1/3 scaling law can be represented. These results indicate the important linkage between the turbulence physics and ow structure, if well posed and defined. In principle, the multi-level dissipation element idea is generally applicable in analyzing other multiscale complex systems as well.

Keywords

Cite

@article{arxiv.1911.09294,
  title  = {Multi-level scalar structure in complex system analyses},
  author = {Lipo Wang and Guiwen Tan and Hui Cao},
  journal= {arXiv preprint arXiv:1911.09294},
  year   = {2020}
}

Comments

This paper will be revised and new results will be added