
AbstractSpurious or kinematic modes have posed a major obstacle to the implementation of the mixed finite element method. This research shows that spurious modes resulting from the approximation spaces not satisfying the LBB condition do not prevent a well posed problem. When the LBB condition is not satisfied, the resulting matrix equations are singular. A direct solution method is presented for the efficient solution of the possibly singular equations. Orthogonal flux basis functions are introduced to simplify the problem. Then the solution procedure is based on nested domain decomposition. This solution procedure is shown to be competitive with direct solution methods for the displacement finite element method. Examples are included to demonstrate various aspects of the LBB condition and the solution procedure.
\(QR\) factorization, numerical examples, Ladyzhenskaya-Babuška-Brezzi condition, Given's rotations, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Direct numerical methods for linear systems and matrix inversion, second-order elliptic problem, Computational methods for sparse matrices, Boundary value problems for second-order elliptic equations, first-order systems, well-posedness, mixed finite element methods, saddle-point problems
\(QR\) factorization, numerical examples, Ladyzhenskaya-Babuška-Brezzi condition, Given's rotations, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Direct numerical methods for linear systems and matrix inversion, second-order elliptic problem, Computational methods for sparse matrices, Boundary value problems for second-order elliptic equations, first-order systems, well-posedness, mixed finite element methods, saddle-point problems
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