We consider the approximation of a
Schr{\"o}dinger eigenvalue problem arising from the modeling of
semiconductor nanostructures by a finite volume method in a bounded
domain Ω⊂Rd. In order to prove its convergence, a
framework for finite dimensional approximations to inner products in
the Sobolev space H01(Ω) is introduced which allows to apply
well known results from spectral approximation theory.
This approach is used to obtain convergence results for a classical
finite volume scheme for isotropic problems based on two point fluxes,
and for a finite volume scheme for anisotropic problems based on the
consistent reconstruction of nodal fluxes. In both cases, for two-
and three-dimensional domains we are able to prove first order
convergence of the eigenvalues if the corresponding eigenfunctions
belong to H2(Ω).
The construction of admissible meshes for finite volume schemes
using the Delaunay-Vorono\"i method is discussed.
As numerical examples, a number of one-, two- and three-dimensional
problems relevant to the modeling of semiconductor nanostructures is
presented. In order to obtain analytical eigenvalues for these
problems, a matching approach is used. To these eigenvalues, and to
recently published highly accurate eigenvalues for the Laplacian in
the L-shape domain, the results of the implemented numerical method
are compared. In general, for piecewise H2 regular eigenfunctions,
second order convergence is observed experimentally