15 research outputs found

    Discontinuous Petrov-Galerkin method based on the optimal test space norm for one-dimensional transport problems

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    We revisit the finite element analysis of convection dominated flow problems within the recently developed Discontinuous Petrov-Galerkin (DPG) variational framework. We demonstrate how test function spaces that guarantee numerical stability can be computed automatically with respect to the so called optimal test space norm by using an element subgrid discretization. This should make the DPG method not only stable but also robust, that is, uniformly stable with respect to the P'eclet number in the current application. The effectiveness of the algorithm is demonstrated on two problems for the linear advection-diffusion equation. © 2011 Published by Elsevier Ltd

    Wave number-Explicit Analysis for Galerkin Discretizations of Lossy Helmholtz Problems

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    We present a stability and convergence theory for the lossy Helmholtz equation and its Galerkin discretization. The boundary conditions are of Robin type. All estimates are explicit with respect to the real and imaginary part of the complex wave number ζ∈C\zeta\in\mathbb{C}, Re⁥ζ≄0\operatorname{Re}\zeta\geq0, âˆŁÎ¶âˆŁâ‰„1\left\vert \zeta\right\vert \geq1. For the extreme cases ζ∈i⁥R\zeta \in\operatorname*{i}\mathbb{R} and ζ∈R≄0\zeta\in\mathbb{R}_{\geq0}, the estimates coincide with the existing estimates in the literature and exhibit a seamless transition between these cases in the right complex half plane.Comment: 29 pages, 1 figur

    On the natural stabilization of convection dominated problems using high order Bubnov–Galerkin finite elements

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    In the case of dominating convection, standard Bubnov–Galerkin finite elements are known to deliver oscillating discrete solutions for the convection–diffusion equation. This paper demonstrates that increasing the polynomial degree (p-extension) limits these artificial numerical oscillations. This is contrary to a widespread notion that an increase of the polynomial degree destabilizes the discrete solution. This treatise also provides explicit expressions as to which polynomial degree is sufficiently high to obtain stable solutions for a given Péclet number at the nodes of a mesh

    Analytic regularity for a singularly perturbed system of reaction-diffusion equations with multiple scales: proofs

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    We consider a coupled system of two singularly perturbed reaction-diffusion equations, with two small parameters 0<ϔ≀Ό≀10< \epsilon \le \mu \le 1, each multiplying the highest derivative in the equations. The presence of these parameters causes the solution(s) to have \emph{boundary layers} which overlap and interact, based on the relative size of Ï”\epsilon and % \mu. We construct full asymptotic expansions together with error bounds that cover the complete range 0<ϔ≀Ό≀10 < \epsilon \leq \mu \leq 1. For the present case of analytic input data, we derive derivative growth estimates for the terms of the asymptotic expansion that are explicit in the perturbation parameters and the expansion order
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