A finite element method preserving the eigenvalue range of symmetric tensor fields

This paper presents a finite element method that preserves (at the degrees of freedom) the eigenvalue range of the solution of tensor-valued time-dependent convection–diffusion equations. Starting from a high-order spatial baseline discretisation (in this case, the CIP stabilised finite element method), our approach formulates the fully discrete problem as a variational inequality posed on a closed convex set of tensor-valued functions that respect the same eigenvalue bounds at their degrees of freedom. The numerical realisation of the scheme relies on the definition of a projection that, at each node, performs the diagonalisation of the tensor and then truncates the eigenvalues to lie within the prescribed bounds. The temporal discretisation is carried out using the implicit Euler method, and unconditional stability and optimal-order error estimates are proven for this choice. Numerical experiments confirm the theoretical findings and illustrate the method’s ability to maintain eigenvalue constraints while accurately approximating solutions in the convection-dominated regime.

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Publication Details

Journal
Mathematical Models and Methods in Applied Sciences
Published
2026-10-28
DOI
https://doi.org/10.1142/s0218202526500612
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00

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article

A finite element method preserving the eigenvalue range of symmetric tensor fields

Tristan Pryer, Gabriel R. Barrenechea, Abdolreza Amiri
1 links
Mathematical Models and Methods in Applied Sciences
Advanced Numerical Methods in Computational Mathematics
article

A finite element method preserving the eigenvalue range of symmetric tensor fields

Tristan Pryer, Gabriel R. Barrenechea, Abdolreza Amiri
article en

Abstract

This paper presents a finite element method that preserves (at the degrees of freedom) the eigenvalue range of the solution of tensor-valued time-dependent convection–diffusion equations. Starting from a high-order spatial baseline discretisation (in this case, the CIP stabilised finite element method), our approach formulates the fully discrete problem as a variational inequality posed on a closed convex set of tensor-valued functions that respect the same eigenvalue bounds at their degrees of freedom. The numerical realisation of the scheme relies on the definition of a projection that, at each node, performs the diagonalisation of the tensor and then truncates the eigenvalues to lie within the prescribed bounds. The temporal discretisation is carried out using the implicit Euler method, and unconditional stability and optimal-order error estimates are proven for this choice. Numerical experiments confirm the theoretical findings and illustrate the method’s ability to maintain eigenvalue constraints while accurately approximating solutions in the convection-dominated regime.

Mathematical Models and Methods in Applied Sciences
University of Strathclyde (GB), University of Bath (GB)
Leverhulme Trust
Openalex Percentile: Top 96%
Advanced Numerical Methods in Computational Mathematics
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A finite element method preserving the eigenvalue range of symmetric tensor fields — Tristan Pryer, Gabriel R. Barrenechea, et al. · Mathematical Models and Methods in Applied Sciences (2026) | TGRS Research Map | TGRS