Well-Posedness of the Linear Regularized 13-Moment Equations Using Tensor-Valued Korn Inequalities

Abstract. In this paper, we finally prove the well-posedness of the linearized R13 moment model, which describes, e.g., rarefied gas flows. As an extension of the classical fluid equations, moment models are robust and have been frequently used, yet they are challenging to analyze due to their additional equations. By effectively grouping variables, we identify a 2-by-2 block structure, allowing us to analyze well-posedness within the abstract LBB framework for saddle point problems. Due to the unique tensorial structure of the equations, in addition to an interesting combination of tools from Stokes’ and linear elasticity theory, we also need new coercivity estimates for tensor fields. These Korn-type inequalities are established by analyzing the symbol map of the symmetric and trace-free part of tensor derivative fields. Together with the corresponding right inverse of the tensorial divergence, we obtain the existence and uniqueness of weak solutions. This result also serves as the basis for future numerical analysis of corresponding discretization schemes.

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Publication Details

Journal
SIAM Journal on Applied Mathematics
Published
2026-09-04
DOI
https://doi.org/10.1137/25m1728764
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

Well-Posedness of the Linear Regularized 13-Moment Equations Using Tensor-Valued Korn Inequalities

Peter Lewintan, Manuel Torrilhon, Lambert Theisen
1 citations
SIAM Journal on Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Well-Posedness of the Linear Regularized 13-Moment Equations Using Tensor-Valued Korn Inequalities

Peter Lewintan, Manuel Torrilhon, Lambert Theisen
article en
1 citations

Abstract

Abstract. In this paper, we finally prove the well-posedness of the linearized R13 moment model, which describes, e.g., rarefied gas flows. As an extension of the classical fluid equations, moment models are robust and have been frequently used, yet they are challenging to analyze due to their additional equations. By effectively grouping variables, we identify a 2-by-2 block structure, allowing us to analyze well-posedness within the abstract LBB framework for saddle point problems. Due to the unique tensorial structure of the equations, in addition to an interesting combination of tools from Stokes’ and linear elasticity theory, we also need new coercivity estimates for tensor fields. These Korn-type inequalities are established by analyzing the symbol map of the symmetric and trace-free part of tensor derivative fields. Together with the corresponding right inverse of the tensorial divergence, we obtain the existence and uniqueness of weak solutions. This result also serves as the basis for future numerical analysis of corresponding discretization schemes.

SIAM Journal on Applied MathematicsVol. 86(5)
Karlsruhe Institute of Technology (DE), RWTH Aachen University (DE)
Deutsche Forschungsgemeinschaft, RWTH Aachen University
Openalex Percentile: Top 99%
Advanced Numerical Methods in Computational Mathematics
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