Approximation of PDE eigenvalue problems involving parameter dependent matrices

We propose a lightning Virtual Element Method that eliminates the stabilisation term by actually computing the virtual component of the local VEM basis functions using a lightning approximation. In particular, the lightning VEM approximates the virtual part of the basis functions using rational functions with poles clustered exponentially close to the corners of each element of the polygonal tessellation. This results in two great advantages. First, the mathematical analysis of a priori error estimates is much easier and essentially identical to the one for any other non-conforming Galerkin discretisation. Second, the fact that the lightning VEM truly computes the basis functions allows the user to access the point-wise value of the numerical solution without needing any reconstruction techniques. The cost of the local construction of the VEM basis is the implementation price that one has to pay for the advantages of the lightning VEM method, but the embarrassingly parallelizable nature of this operation will ultimately result in a cost-efficient scheme almost comparable to standard VEM and FEM.

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Approximation of PDE eigenvalue problems involving parameter dependent matrices

Abstract: We discuss the solution of eigenvalue problems associated with partial differential equations that can be written in the generalized form $${\mathsf {A}}x=\lambda {\mathsf {B}}x$$ A x = λ B x , where the matrices $${\mathsf {A}}$$ A and/or $${\mathsf {B}}$$ B may depend … Show more

Cited by 12 publications

References 25 publications

Virtual Element Approximation of Eigenvalue Problems

Virtual Element Approximation of Eigenvalue Problems

A lowest-order virtual element method for the Helmholtz transmission eigenvalue problem

When rational functions meet virtual elements: the lightning virtual element method

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