Title
Statistical solutions of hyperbolic systems of conservation laws: numerical approximation.
Abstract
Statistical solutions are time-parameterized probability measures on spaces of integrable functions, which have been proposed recently as a framework for global solutions and uncertainty quantification for multi-dimensional hyperbolic system of conservation laws. By combining high-resolution finite volume methods with a Monte Carlo sampling procedure, we present a numerical algorithm to approximate statistical solutions. Under verifiable assumptions on the finite volume method, we prove that the approximations, generated by the proposed algorithm, converge in an appropriate topology to a statistical solution. Numerical experiments illustrating the convergence theory and revealing interesting properties of statistical solutions are also presented.
Year
DOI
Venue
2019
10.1142/S0218202520500141
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
Keywords
DocType
Volume
Hyperbolic systems,statistical solutions,probability measures,Wasserstein metric
Journal
30
Issue
ISSN
Citations 
3
0218-2025
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ulrik S. Fjordholm1739.95
Kjetil O. Lye220.80
Siddhartha Mishra317021.36
Franziska Weber400.34