Short term unpredictability of high Reynolds number turbulence - rough dependence on initial data
| dc.contributor.author | Feng, Zaichun | |
| dc.contributor.author | Li, Y. Charles | |
| dc.date.accessioned | 2021-10-04T22:05:16Z | |
| dc.date.available | 2021-10-04T22:05:16Z | |
| dc.date.issued | 2020-10-12 | |
| dc.description.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. | |
| dc.description.department | Mathematics | |
| dc.format | Text | |
| dc.format.extent | 21 pages | |
| dc.format.medium | 1 file (.pdf) | |
| dc.identifier.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. | |
| dc.identifier.issn | 1072-6691 | |
| dc.identifier.uri | https://hdl.handle.net/10877/14611 | |
| dc.language.iso | en | |
| dc.publisher | Texas State University, Department of Mathematics | |
| dc.rights | Attribution 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Electronic Journal of Differential Equations, 2020, San Marcos, Texas: Texas State University and University of North Texas. | |
| dc.subject | Short term unpredictability | |
| dc.subject | Rough dependence on initial data | |
| dc.subject | Turbulence | |
| dc.subject | Chaos | |
| dc.subject | Sensitive dependence on initial data | |
| dc.title | Short term unpredictability of high Reynolds number turbulence - rough dependence on initial data | |
| dc.type | Article |