An energy stable and conservative multiplicative dynamical low-rank discretization for the Su-Olson problem
This work provides a theoretically grounded reduced-order method for kinetic equations, addressing stability and conservation issues in radiative transfer simulations.
The authors propose an energy stable dynamical low-rank approximation (DLRA) scheme for the Su-Olson thermal radiative transfer problem, achieving local mass conservation and computational speedup over full-system solutions.
Computing numerical solutions of the thermal radiative transfer equations on a finely resolved grid can be costly due to high computational and memory requirements. A numerical reduced order method that has recently been applied to a wide variety of kinetic partial differential equations is the concept of dynamical low-rank approximation (DLRA). In this paper, we consider the thermal radiative transfer equations with Su-Olson closure, leading to a linearized kinetic model. For the conducted theoretical and practical considerations we use a multiplicative splitting of the distribution function that poses additional challenges in finding an energy stable discretization and deriving a hyperbolic Courant-Friedrichs-Lewy (CFL) condition. We propose such an energy stable DLRA scheme that makes use of the augmented basis update & Galerkin integrator. This integrator allows for additional basis augmentations, enabling us to give a mathematically rigorous proof of energy stability and local mass conservation. Numerical examples confirm the derived properties and show the computational advantages of the DLRA scheme compared to a numerical solution of the full system of equations.