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A Robust High-order Approximation of the Gray Thermal Radiative Transfer Equations

Abstract

We present a high-order, positivity preserving, and asymptotic preserving approximation of the gray radiative transfer equations. The time and space approximation is done using a diagonally-implicit Runge-Kutta method with stabilized, continuous finite elements, and the angular approximation uses the method of discrete ordinates. We detail a simple and robust inner/outer iteration strategy to solve these equations and prove that the proposed scheme is exactly conservative, independent of iterative tolerances. A maximum and minimum principle is enforced using a conservative redistribution limiting technique, and the method is demonstrated to be robust in the thick diffusion limit.

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BibTeX
@misc{guermond2026robust,
  title = {{A Robust High-order Approximation of the Gray Thermal Radiative Transfer Equations}},
  author = {Jean-Luc Guermond and Wyatt M. R. Smith and Eric J. Tovar},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.41967},
  eprint = {2610.41967},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.41967},
}
RIS
TY  - UNPB
TI  - A Robust High-order Approximation of the Gray Thermal Radiative Transfer Equations
AU  - Jean-Luc Guermond
AU  - Wyatt M. R. Smith
AU  - Eric J. Tovar
PY  - 2026
DA  - 2026/10/30
PB  - arXiv
DO  - 10.48550/arxiv.2610.41967
UR  - https://arxiv.org/abs/2610.41967
AB  - We present a high-order, positivity preserving, and asymptotic preserving approximation of the gray radiative transfer equations. The time and space approximation is done using a diagonally-implicit Runge-Kutta method with stabilized, continuous finite elements, and the angular approximation uses the method of discrete ordinates. We detail a simple and robust inner/outer iteration strategy to solve these equations and prove that the proposed scheme is exactly conservative, independent of iterative tolerances. A maximum and minimum principle is enforced using a conservative redistribution limiting technique, and the method is demonstrated to be robust in the thick diffusion limit.
ER  -