Best-approximation error estimates are extended from the Stokes problem to the instationary Navier-Stokes equations in the L^∞(I;L²(Ω)), L²(I;H¹(Ω)), and L²(I;L²(Ω)) norms via error splitting and a tailored discrete Gronwall lemma.
Quasi-Optimal Error Estimates for the Incompressible Navier-Stokes Problem Discretized by Finite Element Methods and Pressure-Correction Projection with Velocity Stabilization
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abstract
We consider error estimates for the fully discretized instationary Navier-Stokes problem. For the spatial approximation we use conforming inf-sup stable finite element methods in conjunction with grad-div and local projection stabilization acting on the streamline derivative. For the temporal discretization a pressure-correction projection algorithm based on BDF2 is used. We can show quasi-optimal rates of convergence with respect to time and spatial discretization for all considered error measures. Some of the error estimates are quasi-robust with respect to the Reynolds number.
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2023 1verdicts
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Error estimates for finite element discretizations of the instationary Navier-Stokes equations
Best-approximation error estimates are extended from the Stokes problem to the instationary Navier-Stokes equations in the L^∞(I;L²(Ω)), L²(I;H¹(Ω)), and L²(I;L²(Ω)) norms via error splitting and a tailored discrete Gronwall lemma.