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Post-processed Galerkin approximation of improved order for wave equations

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arxiv 1803.03005 v1 pith:QXGK74FU submitted 2018-03-08 math.NA cs.NA

classification math.NAcs.NA
keywords errorestimatespost-processedsolutiontimewaveorderapproach
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We introduce and analyze a post-processing for a family of variational space-time approximations to wave problems. The discretization in space and time is based on continuous finite element methods. The post-processing lifts the fully discrete approximations in time from continuous to continuously differentiable ones. Further, it increases the order of convergence of the discretization in time which can be be exploited nicely, for instance, for a-posteriori error control. The convergence behavior is shown by proving error estimates of optimal order in various norms. A bound of superconvergence at the discrete times nodes is included. To show the error estimates, a special approach is developed. Firstly, error estimates for the time derivative of the post-processed solution are proved. Then, in a second step these results are used to establish the desired error estimates for the post-processed solution itself. The need for this approach comes through the structure of the wave equation providing only stability estimates that preclude us from using absorption arguments for the control of certain error quantities. A further key ingredient of this work is the construction of a new time-interpolate of the exact solution that is needed in an essential way for deriving the error estimates. Finally, a conservation of energy property is shown for the post-processed solution which is a key feature for approximation schemes to wave equations. The error estimates given in this work are confirmed by numerical experiments.

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  1. Galerkin-collocation approximation in time for the wave equation and its post-processing

    math.NA 2019-08 conditional novelty 6.0 of 10

    A Galerkin-collocation time discretization for the wave equation is constructed, analyzed with optimal-order error estimates, and extended to twice differentiable solutions via post-processing.

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