Interpolatory dynamical low-rank approximation for the 3+3d Boltzmann–BGK equation

We introduce two novel interpolatory dynamical low-rank (DLR) approximation methods for the efficient time integration of the Boltzmann–BGK equation. Both methods overcome limitations of classic DLR schemes based on orthogonal projections for nonlinear equations. In particular, we demonstrate that the proposed methods can efficiently compute solutions to the full Boltzmann–BGK equation without restricting to e.g. weakly compressible or isothermal flow. The first method we propose directly applies the recently developed interpolatory projector-splitting scheme on low-rank matrix manifolds. The second method is a variant of the rank-adaptive basis update and Galerkin scheme, where the Galerkin step is replaced by a collocation step, resulting in a new scheme we call basis update and collocate (BUC). Numerical experiments in both fluid and kinetic regimes demonstrate the performance of the proposed methods. In particular we demonstrate that the methods can be used to efficiently compute low-rank solutions in the six-dimensional (three spatial and three velocity dimensions) setting on a standard laptop.

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Publication Details

Journal
Journal of Computational Physics
Published
2025-11-28
DOI
https://doi.org/10.1016/j.jcp.2025.114515
Primary Topic
Tensor decomposition and applications
Type
article
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article

Interpolatory dynamical low-rank approximation for the 3+3d Boltzmann–BGK equation

Lukas Einkemmer, Alec Dektor
Journal of Computational Physics
Tensor decomposition and applications
article

Interpolatory dynamical low-rank approximation for the 3+3d Boltzmann–BGK equation

Lukas Einkemmer, Alec Dektor
article en

Abstract

We introduce two novel interpolatory dynamical low-rank (DLR) approximation methods for the efficient time integration of the Boltzmann–BGK equation. Both methods overcome limitations of classic DLR schemes based on orthogonal projections for nonlinear equations. In particular, we demonstrate that the proposed methods can efficiently compute solutions to the full Boltzmann–BGK equation without restricting to e.g. weakly compressible or isothermal flow. The first method we propose directly applies the recently developed interpolatory projector-splitting scheme on low-rank matrix manifolds. The second method is a variant of the rank-adaptive basis update and Galerkin scheme, where the Galerkin step is replaced by a collocation step, resulting in a new scheme we call basis update and collocate (BUC). Numerical experiments in both fluid and kinetic regimes demonstrate the performance of the proposed methods. In particular we demonstrate that the methods can be used to efficiently compute low-rank solutions in the six-dimensional (three spatial and three velocity dimensions) setting on a standard laptop.

Journal of Computational PhysicsVol. 547
Lawrence Berkeley National Laboratory (US), Universität Innsbruck (AT)
Openalex Percentile: Top 64%
Tensor decomposition and applications
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