Electronic Journal of Differential Equations,
Vol. 2014 (2014), No. 104, pp. 1-8.
Title: Distinction of turbulence from chaos -- rough dependence on initial data
Author: Y. Charles Li (Univ. of Missouri, Columbia, MO, USA)
Abstract:
This article presents a new theory on the nature of turbulence:
when the Reynolds number is large, violent fully developed turbulence is due
to "rough dependence on initial data" rather than chaos which is caused by
"sensitive dependence on initial data"; when the Reynolds number is moderate,
(often transient) turbulence is due to chaos. The key in the validation
of the theory is estimating the temporal growth of the initial perturbations
with the Reynolds number as a parameter. Analytically, this amounts
to estimating the temporal growth of the norm of the derivative of the solution
map of the Navier-Stokes equations, for which here I obtain an upper bound
$e^{C \sqrt{t Re} + C_1 t}$. This bound clearly indicates that when the Reynolds
number is large, the temporal growth rate can potentially be large in short time,
i.e. rough dependence on initial data.
Submitted December 9, 2013. Published April 15, 2014.
Math Subject Classifications: 76F20, 35Q30, 37D45.
Key Words: Rough dependence on initial data; chaos; turbulence;
dependence on initial data.