Vanmaele, M. On optimal and nearly optimal error estimates of a numerical quadrature finite element method for 2nd-order eigenvalue problems with Dirichlet boundary conditions. (English) Zbl 0802.65106 Simon Stevin 67, No. 1-2, 121-132 (1993). This paper deals with a numerical quadrature finite elements (FE) method for a class of second order elliptic eigenvalue problems on a rectangular domain \(\Omega\subset\mathbb{R}^ 2\) with homogeneous Dirichlet boundary conditions on the whole boundary \(\partial\Omega\), in the form (1) find \((\lambda u)\in\mathbb{R}\times H^ 1_ 0(\Omega)\): \(a(u,v)= \lambda(u,v)\), \(\forall v\in V\equiv H^ 1_ 0(\Omega)\).The author considers the numerical quadrature FE-approximation of (1) and obtains results for the approximate eigenpairs \((\bar\lambda_{e,h}, \bar u_{e,h})\). In the right-hand side a discrete inner product \((\cdot,\cdot)_ h\) is used, corresponding to a suitable Lobatto quadrature formula for the involved integrals on each element \(K\). In the left-hand side the approximation \(a_ h(\cdot,\cdot)\) of the bilinear form \(a(\cdot,\cdot)\) results from a deliberately chosen Gauss-Legendre quadrature formula for the involved integrals on the elements \(K\).When the boundary value problem associated with the bilinear form is ‘regular’, the author improves the estimate for the eigenfunctions in the \(L_ 2(\Omega)\)-norm to a nearly optimal one, namely \(O(h^{k+\varepsilon})\) with \(1/2\leq \varepsilon< 1\). Reviewer: P.ChocholatĂ˝ (Bratislava) Cited in 2 Documents MSC: 65N25 Numerical methods for eigenvalue problems for boundary value problems involving PDEs 65N15 Error bounds for boundary value problems involving PDEs 65N30 Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs 35P15 Estimates of eigenvalues in context of PDEs Keywords:optimal error estimates; numerical quadrature finite element method; second order elliptic eigenvalue problems; Lobatte quadrature formula; Gauss-Legendre quadrature formula; boundary value problem; eigenfunctions × Cite Format Result Cite Review PDF