Litcius/Paper detail

Asymptotic-Preserving and Energy Stable Dynamical Low-Rank Approximation

Lukas Einkemmer, J. Y. Hu, Jonas Kusch

2024SIAM Journal on Numerical Analysis14 citationsDOI

Abstract

.Radiation transport problems are posed in a high-dimensional phase space, limiting the use of finely resolved numerical simulations. An emerging tool to efficiently reduce computational costs and memory footprint in such settings is dynamical low-rank approximation (DLRA). Despite its efficiency, numerical methods for DLRA need to be carefully constructed to guarantee stability while preserving crucial properties of the original problem. Important physical effects that one likes to preserve with DLRA include capturing the diffusion limit in the high-scattering regimes as well as dissipating energy. In this work we propose and analyze a dynamical low-rank method based on the "unconventional" basis update & Galerkin step integrator. We show that this method is asymptotic preserving, i.e., it captures the diffusion limit, and energy stable under a CFL condition. The derived CFL condition captures the transition from the hyperbolic to the parabolic regime when approaching the diffusion limit.Keywordsdynamical low-rank approximationradiative transferenergy stabilitymicro-macro decompositionMSC codes35L6565M1235B40

Topics & Concepts

MathematicsLimit (mathematics)Rank (graph theory)Applied mathematicsDiffusionIntegratorStability (learning theory)Discontinuous Galerkin methodStatistical physicsMathematical optimizationMathematical analysisComputer sciencePhysicsFinite element methodBandwidth (computing)Computer networkCombinatoricsMachine learningThermodynamicsModel Reduction and Neural NetworksAdvanced Numerical Methods in Computational MathematicsTensor decomposition and applications