Quasi-Optimal Convergence Rate of an Adaptive Weakly Over-Penalized Interior Penalty Method |
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Authors: | Luke Owens |
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Affiliation: | 1. Automated Trading Desk, 11 eWall Street, Mount Pleasant, SC, 29464, USA
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Abstract: | We analyze an adaptive discontinuous finite element method (ADFEM) for the weakly over-penalized symmetric interior penalty (WOPSIP) operator applied to symmetric positive definite second order elliptic boundary value problems. For first degree polynomials, we prove that the ADFEM is a contraction for the sum of the energy error and the scaled error estimator between two consecutive loops of the adaptive algorithm. After establishing this geometric decay, we define a suitable approximation class and prove that the adaptive WOPSIP method obeys a quasi-optimal rate of convergence. |
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