Abstract
Mathematical modelling of dynamical systems often yields partial differential equations (PDEs) in time and space, which represent a conservation law possibly including a source term. Uncertainties in physical parameters can be described by random variables. To resolve the stochastic model, the Galerkin technique of the generalised polynomial chaos results in a larger coupled system of PDEs. We consider a certain class of linear systems of conservation laws, which exhibit a hyperbolic structure. Accordingly, we analyse the hyperbolicity of the corresponding coupled system of linear conservation laws from the polynomial chaos. Numerical results of two illustrative examples are presented.
Similar content being viewed by others
References
Augustin, F., Gilg, A., Paffrath, M., Rentrop, P., Wever, U.: Polynomial chaos for the approximation of uncertainties: chances and limits. Eur. J. Appl. Math. 19, 149–190 (2008)
Chen, Q.-Y., Gottlieb, D., Hesthaven, J.S.: Uncertainty analysis for the steady-state flows in a dual throat nozzle. J. Comput. Phys. 204, 387–398 (2005)
Constantine, P.G., Gleich, D.F., Iaccarino, G.: Spectral methods for parameterized matrix equations. SIAM J. Matrix Anal. Appl. 31(5), 2681–2699 (2010)
Ghanem, R.G., Spanos, P.: Stochastic Finite Elements: A Spectral Approach. Springer, New York (1991)
Gottlieb, D., Xiu, D.: Galerkin method for wave equations with uncertain coefficients. Commun. Comput. Phys. 3(2), 505–518 (2008)
LeVeque, R.J.: Numerical Methods for Conservation Laws. Birkhäuser, Basel (1990)
LeVeque, R.J.: Finite Volume Methods for Hyperbolic Problems. Cambridge University Press, Cambridge (2002)
Lin, G., Su, C.-H., Karniadakis, G.E.: Predicting shock dynamics in the presence of uncertainty. J. Comput. Phys. 217, 260–276 (2006)
Poette, G., Despres, D., Lucor, D.: Uncertainty quantification for system of conservation laws. J. Comput. Phys. 228, 2443–2467 (2009)
Pulch, R., van Emmerich, C.: Polynomial chaos for simulating random volatilities. Math. Comput. Simul. 80(2), 245–255 (2009)
Pulch, R.: Polynomial chaos for linear differential algebraic equations with random parameters. Int. J. Uncertain. Quantific. 1(3), 223–240 (2011)
Tryoen, J., Le Maître, O., Ndjinga, M., Ern, A.: Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems. J. Comput. Phys. 229(18), 6485–6511 (2010)
Xiu, D.: The generalized (Wiener-Askey) polynomial chaos. Ph.D. thesis, Brown University (2004)
Xiu, D.: Fast numerical methods for stochastic computations: a review. Commun. Comput. Phys. 5, 242–272 (2009)
Xiu, D.: Numerical Methods for Stochastic Computations: A Spectral Method Approach. Princeton University Press, Princeton (2010)
Xiu, D., Hesthaven, J.S.: High order collocation methods for differential equations with random inputs. SIAM J. Sci. Comput. 27(3), 1118–1139 (2005)
Xiu, D., Karniadakis, G.E.: The Wiener-Askey polynomial chaos for stochastic differential equations. SIAM J. Sci. Comput. 24(2), 619–644 (2002)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pulch, R., Xiu, D. Generalised Polynomial Chaos for a Class of Linear Conservation Laws. J Sci Comput 51, 293–312 (2012). https://doi.org/10.1007/s10915-011-9511-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10915-011-9511-5