Stable Self-Similar Profiles for Two 1D Models of the 3D Axisymmetric Euler Equations
Thomas Yizhao Hou () and
Pengfei Liu ()
Additional contact information
Thomas Yizhao Hou: California Institute of Technology, Division of Engineering and Applied Science, Computing and Mathematical Sciences Department
Pengfei Liu: California Institute of Technology, Computing and Mathematical Sciences
Chapter 17 in Handbook of Mathematical Analysis in Mechanics of Viscous Fluids, 2018, pp 869-899 from Springer
Abstract:
Abstract Global regularity of the Euler equations in the three-dimensional (3D) setting is regarded as one of the most important open questions in mathematical fluid mechanics. In this work we consider two one-dimensional (1D) models approximating the dynamics of the 3D axisymmetric Euler equations on the solid boundary of a periodic cylinder, which are motivated by a potential finite-time singularity formation scenario proposed recently by Luo and Hou (PNAS 111(36):12968–12973, 2014), and numerically investigate the stability of the self-similar profiles in their singular solutions. We first review some recent existence results about the self-similar profiles for one model, and then derive the evolution equations of the spatial profiles in the singular solutions for both models through a dynamic rescaling formulation. We demonstrate the stability of the self-similar profiles by analyzing their discretized dynamics using linearization, and it is hoped that these computations can help to understand the potential singularity formation mechanism of the 3D Euler equations.
Keywords: Self-similar Profile; Finite Time Singularity; Singular Solutions; Dynamic Rescaling; Periodic Cylinder (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-13344-7_17
Ordering information: This item can be ordered from
http://www.springer.com/9783319133447
DOI: 10.1007/978-3-319-13344-7_17
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().