Short term unpredictability of high Reynolds number turbulence - rough dependence on initial data
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Date
2020-10-12
Authors
Feng, Zaichun
Li, Y. Charles
Journal Title
Journal ISSN
Volume Title
Publisher
Texas State University, Department of Mathematics
Abstract
Short term unpredictability is discovered numerically for high Reynolds number fluid flows under periodic boundary conditions. Furthermore, the abundance of the short term unpredictability is also discovered. These discoveries support our theory that fully developed turbulence is constantly driven by such short term unpredictability.
Description
Keywords
Short term unpredictability, Rough dependence on initial data, Turbulence, Chaos, Sensitive dependence on initial data
Citation
Feng, Z., & Li, Y. C. (2020). Short term unpredictability of high Reynolds number turbulence - rough dependence on initial data. <i>Electronic Journal of Differential Equations, 2020</i>(104), pp. 1-21.
Rights
Attribution 4.0 International