1,511 research outputs found
Optimal convergence estimates for the trace of the polynomial L2-projection operator on a simplex
In this paper we study convergence of the L2-projection onto the space of polynomials up to degree p on a simplex in Rd, d >= 2. Optimal error estimates are established in the case of Sobolev regularity and illustrated on several numerical examples. The proof is based on the collapsed coordinate transform and the expansion into various polynomial bases involving Jacobi polynomials and their antiderivatives. The results of the present paper generalize corresponding estimates for cubes in Rd from [P. Houston, C. Schwab, E. Süli, Discontinuous hp-finite element methods for advection-diffusion-reaction problems. SIAM J. Numer. Anal. 39 (2002), no. 6, 2133-2163]
Approximating gradients with continuous piecewise polynomial functions
Motivated by conforming finite element methods for elliptic problems of
second order, we analyze the approximation of the gradient of a target function
by continuous piecewise polynomial functions over a simplicial mesh. The main
result is that the global best approximation error is equivalent to an
appropriate sum in terms of the local best approximations errors on elements.
Thus, requiring continuity does not downgrade local approximability and
discontinuous piecewise polynomials essentially do not offer additional
approximation power, even for a fixed mesh. This result implies error bounds in
terms of piecewise regularity over the whole admissible smoothness range.
Moreover, it allows for simple local error functionals in adaptive tree
approximation of gradients.Comment: 21 pages, 1 figur
Inverse estimates for elliptic boundary integral operators and their application to the adaptive coupling of FEM and BEM
We prove inverse-type estimates for the four classical boundary integral
operators associated with the Laplace operator. These estimates are used to
show convergence of an h-adaptive algorithm for the coupling of a finite
element method with a boundary element method which is driven by a weighted
residual error estimator
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