Asymptotic preserving methods for the low mach limit in discrete velocity models approximating kinetic equations

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Main Authors: Dimarco, Giacomo, Klar, Axel, Köfler, Theresa, Pareschi, Lorenzo
Format: Preprint
Published: 2025
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author Dimarco, Giacomo
Klar, Axel
Köfler, Theresa
Pareschi, Lorenzo
author_facet Dimarco, Giacomo
Klar, Axel
Köfler, Theresa
Pareschi, Lorenzo
contents We consider a Lattice Boltzmann type discrete velocity model in the low Mach number scaling and develop a corresponding numerical scheme that remains uniformly valid across all regimes of the mean free path, from the kinetic to the hydrodynamic scale. The proposed framework ensures high order temporal accuracy through the use of Implicit Explicit Runge Kutta methods, which provide stability and efficiency in stiff regimes, while spatial resolution is enhanced by combining finite difference WENO reconstructions with high order central difference approximations. In the appropriate asymptotic limit, the scheme reduces to a high order finite difference formulation of the incompressible Navier Stokes equations, thereby guaranteeing physical consistency of the numerical approximation with the limit model. To corroborate the theoretical findings, a set of numerical experiments is performed on two dimensional benchmark problems, which confirm the accuracy, stability, and versatility of the method across different flow regimes.
format Preprint
id arxiv_https___arxiv_org_abs_2512_19847
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Asymptotic preserving methods for the low mach limit in discrete velocity models approximating kinetic equations
Dimarco, Giacomo
Klar, Axel
Köfler, Theresa
Pareschi, Lorenzo
Numerical Analysis
Mathematical Physics
35Q20, 65M06, 65L04
G.1.8; G.4; I.6
We consider a Lattice Boltzmann type discrete velocity model in the low Mach number scaling and develop a corresponding numerical scheme that remains uniformly valid across all regimes of the mean free path, from the kinetic to the hydrodynamic scale. The proposed framework ensures high order temporal accuracy through the use of Implicit Explicit Runge Kutta methods, which provide stability and efficiency in stiff regimes, while spatial resolution is enhanced by combining finite difference WENO reconstructions with high order central difference approximations. In the appropriate asymptotic limit, the scheme reduces to a high order finite difference formulation of the incompressible Navier Stokes equations, thereby guaranteeing physical consistency of the numerical approximation with the limit model. To corroborate the theoretical findings, a set of numerical experiments is performed on two dimensional benchmark problems, which confirm the accuracy, stability, and versatility of the method across different flow regimes.
title Asymptotic preserving methods for the low mach limit in discrete velocity models approximating kinetic equations
topic Numerical Analysis
Mathematical Physics
35Q20, 65M06, 65L04
G.1.8; G.4; I.6
url https://arxiv.org/abs/2512.19847