TY - JOUR T1 - Analysis of the [$L^2$, $L^2$, $L^2$] Least-Squares Finite Element Method for Incompressible Oseen-Type Problems AU - C. L. Chang & S.-Y. Yang JO - International Journal of Numerical Analysis and Modeling VL - 3-4 SP - 402 EP - 424 PY - 2007 DA - 2007/04 SN - 4 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/869.html KW - Navier-Stokes equations, Oseen-type equations, finite element methods, least squares. AB -

In this paper we analyze several first-order systems of Oseen-type equations that are obtained from the time-dependent incompressible Navier-Stokes equations after introducing the additional vorticity and possibly total pressure variables, time-discretizing the time derivative and linearizing the non-linear terms. We apply the [$L^2$, $L^2$, $L^2$] least-squares finite element scheme to approximate the solutions of these Oseen-type equations assuming homogeneous velocity boundary conditions. All of the associated least-squares energy functionals are defined to be the sum of squared $L^2$ norms of the residual equations over an appropriate products space. We first prove that the homogeneous least-squares functionals are coercive in the $H^1 \times L^2 \times L^2$ norm for the velocity, vorticity, and pressure, but only continuous in the $H^1 \times H^1 \times H^1$ norm for these variables. Although equivalence between the homogeneous least-squares functionals and one of the above two product norms is not achieved, by using these a priori estimates and additional finite element analysis we are nevertheless able to prove that the least-squares method produces an optimal rate of convergence in the $H^1$ norm for velocity and suboptimal rate of convergence in the $L^2$ norm for vorticity and pressure. Numerical experiments with various Reynolds numbers that support the theoretical error estimates are presented. In addition, numerical solutions to the time-dependent incompressible Navier-Stokes problem are given to demonstrate the accuracy of the semi-discrete [$L^2, L^2, L^2$] least-squares finite element approach.