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The approximation of the Maxwell eigenvalue problem using a least-squares method
Authors:James H. Bramble   Tzanio V. Kolev   Joseph E. Pasciak.
Affiliation:Department of Mathematics, Texas A&M University, College Station, Texas 77843-3368 ; Department of Mathematics, Texas A&M University, College Station, Texas 77843-3368 ; Department of Mathematics, Texas A&M University, College Station, Texas 77843-3368
Abstract:In this paper we consider an approximation to the Maxwell's eigenvalue problem based on a very weak formulation of two div-curl systems with complementary boundary conditions. We formulate each of these div-curl systems as a general variational problem with different test and trial spaces, i.e., the solution space is ${boldsymbol {L}^2(Omega)}equiv (L^2(Omega))^3$ and components in the test spaces are in subspaces of $H^1(Omega)$, the Sobolev space of order one on the computational domain $Omega$. A finite-element least-squares approximation to these variational problems is used as a basis for the approximation. Using the structure of the continuous eigenvalue problem, a discrete approximation to the eigenvalues is set up involving only the approximation to either of the div-curl systems. We give some theorems that guarantee the convergence of the eigenvalues to those of the continuous problem without the occurrence of spurious values. Finally, some results of numerical experiments are given.

Keywords:Maxwell eigenvalues   div-curl systems   inf-sup condition   finite element approximation   negative norm least-squares   Maxwell's equations
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