Abstract
We continue analysis of Burgers’ equation from the previous chapter with a focus on the effect of data for the boundary conditions. To facilitate understanding, we deal only with the truncated representation \(u(x,t,\xi ) = u_{0}\psi _{0} + u_{1}\psi _{1}\). This means that all the stochastic variation is accounted for by the single gPC coefficient u 1, and the standard deviation of the solution is simply | u 1 | . With this simplified setup, we obtain a few combinations of general situations for the boundary data: known expectation but unknown standard deviation, unknown expectation and standard deviation, etc. The implication in all these situations on well-posedness, stability and accuracy is discussed.
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Reference
Pettersson P, Iaccarino G, Nordström J (2010) Boundary procedures for the time-dependent Burgers’ equation under uncertainty. Acta Math Sci 30(2):539–550. doi:10.1016/S0252-9602(10)60061-6, http://www.sciencedirect.com/science/article/pii/S0252960210600616
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© 2015 Springer International Publishing Switzerland
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Pettersson, M.P., Iaccarino, G., Nordström, J. (2015). Boundary Conditions and Data. In: Polynomial Chaos Methods for Hyperbolic Partial Differential Equations. Mathematical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-10714-1_7
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DOI: https://doi.org/10.1007/978-3-319-10714-1_7
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Online ISBN: 978-3-319-10714-1
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