Petrov-Galerkin Dynamical Low Rank Approximation:SUPG stabilisation of advection-dominated problems

Fuente: arXiv
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Main Authors: Nobile, Fabio, Trindade, Thomas Trigo
Format: Preprint
Published: 2024
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author Nobile, Fabio
Trindade, Thomas Trigo
author_facet Nobile, Fabio
Trindade, Thomas Trigo
contents We propose a novel framework of generalised Petrov-Galerkin Dynamical Low Rank Approximations (DLR) in the context of random PDEs. It builds on the standard Dynamical Low Rank Approximations in their Dynamically Orthogonal formulation. It allows to seamlessly build-in many standard and well-studied stabilisation techniques that can be framed as either generalised Galerkin methods, or Petrov-Galerkin methods. The framework is subsequently applied to the case of Streamine Upwind/Petrov Galerkin (SUPG) stabilisation of advection-dominated problems with small stochastic perturbations of the transport field. The norm-stability properties of two time discretisations are analysed. Numerical experiments confirm that the stabilising properties of the SUPG method naturally carry over to the DLR framework.
format Preprint
id arxiv_https___arxiv_org_abs_2407_01404
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Petrov-Galerkin Dynamical Low Rank Approximation:SUPG stabilisation of advection-dominated problems
Nobile, Fabio
Trindade, Thomas Trigo
Numerical Analysis
35R60, 65M60, 65M12
We propose a novel framework of generalised Petrov-Galerkin Dynamical Low Rank Approximations (DLR) in the context of random PDEs. It builds on the standard Dynamical Low Rank Approximations in their Dynamically Orthogonal formulation. It allows to seamlessly build-in many standard and well-studied stabilisation techniques that can be framed as either generalised Galerkin methods, or Petrov-Galerkin methods. The framework is subsequently applied to the case of Streamine Upwind/Petrov Galerkin (SUPG) stabilisation of advection-dominated problems with small stochastic perturbations of the transport field. The norm-stability properties of two time discretisations are analysed. Numerical experiments confirm that the stabilising properties of the SUPG method naturally carry over to the DLR framework.
title Petrov-Galerkin Dynamical Low Rank Approximation:SUPG stabilisation of advection-dominated problems
topic Numerical Analysis
35R60, 65M60, 65M12
url https://arxiv.org/abs/2407.01404