Given a scalar-valued discontinuous piecewise polynomial, a “potential reconstruction” is a scalar-valued piecewise polynomial that is (trace-)continuous, i.e., H1-conforming. It is best obtained via a solution of local homogeneous Dirichlet problems on patches of elements sharing a vertex, using the conforming finite element method. Similarly, given a vector-valued discontinuous piecewise polynomial not satisfying the target divergence, an “equilibrated flux reconstruction” is a vector-valued piecewise polynomial that is normal-trace-continuous, i.e., H(div)-conforming, which possesses the target divergence. It is best obtained via a solution of local homogeneous Neumann problems on patches of elements, using the mixed finite element method. These concepts are known to provide guaranteed, locally efficient, and polynomial-degree-robust a posteriori error estimates for numerical approximations of model partial differential equations. We show that they also allow to devise stable local commuting projectors. These lead to polynomial-degree-robust equivalence of global continuous and local discontinuous approximation and optimal hp approximation / a priori error estimates under minimal elementwise Sobolev regularity.
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publication, 2024.
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