Wacławczyk, Marta ; Grebenev, Vladimir N. ; Oberlack, Martin (2023)
Conformal Invariance of Characteristic Lines in a Class of Hydrodynamic Models.
In: Symmetry, 2020, 12 (9)
doi: 10.26083/tuprints-00015966
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Conformal Invariance of Characteristic Lines in a Class of Hydrodynamic Models |
Language: | English |
Date: | 4 December 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2020 |
Place of primary publication: | Basel |
Publisher: | MDPI |
Journal or Publication Title: | Symmetry |
Volume of the journal: | 12 |
Issue Number: | 9 |
Collation: | 19 Seiten |
DOI: | 10.26083/tuprints-00015966 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | This paper addresses the problem of the existence of conformal invariance in a class of hydrodynamic models. For this we analyse an underlying transport equation for the one-point probability density function, subject to zero-scalar constraint. We account for the presence of non-zero viscosity and large-scale friction. It is shown analytically, that zero-scalar characteristics of this equation are invariant under conformal transformations in the presence of large-scale friction. However, the non-zero molecular diffusivity breaks the conformal group (CG). This connects our study with previous observations where CG invariance of zero-vorticity isolines of the 2D Navier–Stokes equation was analysed numerically and confirmed only for large scales in the inverse energy cascade. In this paper, an example of CG is analysed and possible interpretations of the analytical results are discussed. |
Uncontrolled Keywords: | conformal symmetry, Lundgren–Monin–Novikov equations, method of characteristics |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-159660 |
Additional Information: | This article belongs to the Special Issue Symmetry in Fluid Flow |
Classification DDC: | 500 Science and mathematics > 530 Physics 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Fluid Dynamics (fdy) Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE) |
Date Deposited: | 04 Dec 2023 10:18 |
Last Modified: | 13 Dec 2023 12:50 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/15966 |
PPN: | 513918841 |
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