CRM-McGill Applied Math Seminar Tuesday Mar 25, 2008, 3:35pm Burnside Room 1205 Speaker: Benjamin Stamm Institute of analysis and scientific computing, Ècole Polytechnique Fédérale de Lausanne, Title: Bubble stabilized discontinuous Galerkin method for elliptic, parabolic and Stokes' problems Abstract: In the first part of the talk we present a symmetric DG method using a piecewise affine approximation space, enriched by nonconforming quadratic bubbles. This symmetric scheme is stable and optimally convergent without interior penalty term. This unstabilized approach has some interesting properties: the method enjoys enhanced local mass conservation unperturbed by any numerical parameters and the system is adjoint consistent allowing for optimal convergence of the error in the $L^2$--norm. On the other hand, the system resulting from the proposed discretisation is not positive definite, leading to a more complex analysis. Indeed standard coercivity arguments fail and an argument involving an inf-sup condition must be applied also for the classical Poisson problem. In the second part of this talk we will show how the proposed method can be extended to more complex problems in fluid mechanics with special focus on the heat equation and Stokes' problem. For the parabolic model problem we show that in spite of the presence of negative eigenvalues a standard backward Euler time discretization scheme leads to a stable and optimally convergent method. Stability holds under a non restrictive inverse parabolic CFL--condition, namely that $h^2/\delta t$ is small enough where we denote by $h$ the spatial and by $\delta t$ the temporal discretization parameter. For Stokes' problem on the other hand we investigate what pressure spaces may be used in order for the problem to be uniformly wellposed. We propose to combine the bubble enriched space for the velocities with the space of discontinuous piecewise constant functions or the space of continuous affine approximations for the pressure. We will discuss how these choices of pressure spaces relates to classical methods indicating in each case how the inf-sup condition may be proved. Moreover we discuss the approximation properties of both variants and review the conservation properties of the resulting method. Some numerical examples illustrating the theory will be given for the model-problems discussed.