A robust and conservative dynamical low-rank algorithm
Dynamical low-rank approximation, as has been demonstrated recently, can be extremely efficient in solving kinetic equations. However, a major deficiency is that it does not preserve the structure of the underlying physical problem. For example, the classic dynamical low-rank methods violate mass, m...
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| Vydané v: | Journal of computational physics Ročník 484; s. 112060 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Inc
01.07.2023
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| Predmet: | |
| ISSN: | 0021-9991, 1090-2716 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Dynamical low-rank approximation, as has been demonstrated recently, can be extremely efficient in solving kinetic equations. However, a major deficiency is that it does not preserve the structure of the underlying physical problem. For example, the classic dynamical low-rank methods violate mass, momentum, and energy conservation. In Einkemmer and Joseph (2021) [9] a conservative dynamical low-rank approach has been proposed. However, directly integrating the resulting equations of motion, similar to the classic dynamical low-rank approach, results in an ill-posed scheme. In this work we propose a robust, i.e. well-posed, low-rank integrator that conserves mass and momentum (up to machine precision) and significantly improves energy conservation. We also report improved qualitative results for some problems and show how the approach can be combined with a rank adaptive scheme.
•First robust dynamical low-rank integrator that exactly preserves mass and momentum.•The associated conservation laws are preserved.•Significant improvement in energy conservation.•Rank adaptive variant of the conservative integrator. |
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| ISSN: | 0021-9991 1090-2716 |
| DOI: | 10.1016/j.jcp.2023.112060 |