A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws

Fuente: arXiv
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Autori principali: Cardoen, Clément, Marx, Swann, Nouy, Anthony, Seguin, Nicolas
Natura: Preprint
Pubblicazione: 2023
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author Cardoen, Clément
Marx, Swann
Nouy, Anthony
Seguin, Nicolas
author_facet Cardoen, Clément
Marx, Swann
Nouy, Anthony
Seguin, Nicolas
contents We propose a numerical method to solve parameter-dependent hyperbolic partial differential equations (PDEs) with a moment approach, based on a previous work from Marx et al. (2020). This approach relies on a very weak notion of solution of nonlinear equations, namely parametric entropy measure-valued (MV) solutions, satisfying linear equations in the space of Borel measures. The infinite-dimensional linear problem is approximated by a hierarchy of convex, finite-dimensional, semidefinite programming problems, called Lasserre's hierarchy. This gives us a sequence of approximations of the moments of the occupation measure associated with the parametric entropy MV solution, which is proved to converge. In the end, several post-treatments can be performed from this approximate moments sequence. In particular, the graph of the solution can be reconstructed from an optimization of the Christoffel-Darboux kernel associated with the approximate measure, that is a powerful approximation tool able to capture a large class of irregular functions. Also, for uncertainty quantification problems, several quantities of interest can be estimated, sometimes directly such as the expectation of smooth functionals of the solutions. The performance of our approach is evaluated through numerical experiments on the inviscid Burgers equation with parametrised initial conditions or parametrised flux function.
format Preprint
id arxiv_https___arxiv_org_abs_2307_10043
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws
Cardoen, Clément
Marx, Swann
Nouy, Anthony
Seguin, Nicolas
Numerical Analysis
Analysis of PDEs
35L65, 35D99, 65D15
We propose a numerical method to solve parameter-dependent hyperbolic partial differential equations (PDEs) with a moment approach, based on a previous work from Marx et al. (2020). This approach relies on a very weak notion of solution of nonlinear equations, namely parametric entropy measure-valued (MV) solutions, satisfying linear equations in the space of Borel measures. The infinite-dimensional linear problem is approximated by a hierarchy of convex, finite-dimensional, semidefinite programming problems, called Lasserre's hierarchy. This gives us a sequence of approximations of the moments of the occupation measure associated with the parametric entropy MV solution, which is proved to converge. In the end, several post-treatments can be performed from this approximate moments sequence. In particular, the graph of the solution can be reconstructed from an optimization of the Christoffel-Darboux kernel associated with the approximate measure, that is a powerful approximation tool able to capture a large class of irregular functions. Also, for uncertainty quantification problems, several quantities of interest can be estimated, sometimes directly such as the expectation of smooth functionals of the solutions. The performance of our approach is evaluated through numerical experiments on the inviscid Burgers equation with parametrised initial conditions or parametrised flux function.
title A moment approach for entropy solutions of parameter-dependent hyperbolic conservation laws
topic Numerical Analysis
Analysis of PDEs
35L65, 35D99, 65D15
url https://arxiv.org/abs/2307.10043