Numerical approximation of the spectrum of self-adjoint continuously invertible operators
Tom\'a\v{s} Gergelits, Bj{\o}rn Fredrik Nielsen, Zden\v{e}k, Strako\v{s}

TL;DR
This paper studies how to accurately approximate the spectrum of certain self-adjoint operators in infinite-dimensional spaces using finite-dimensional discretizations, with applications in numerical PDE solutions and operator preconditioning.
Contribution
It extends previous work by addressing the approximation of the entire spectrum of self-adjoint, invertible operators via pointwise convergence, filling an open research question.
Findings
Established conditions for spectral approximation accuracy.
Demonstrated convergence of eigenvalues of discretized operators.
Connected spectral approximation to operator preconditioning in PDEs.
Abstract
This paper deals with the generalized spectrum of continuously invertible linear operators defined on infinite dimensional Hilbert spaces. More precisely, we consider two bounded, coercive, and self-adjoint operators , where denotes the dual of , and investigate the conditions under which the whole spectrum of can be approximated to an arbitrary accuracy by the eigenvalues of the finite dimensional discretization . Since is continuously invertible, such an investigation cannot use the concept of uniform (normwise) convergence, and it relies instead on the pointwise (strong) convergence of to . The paper is motivated by operator preconditioning which is employed in the numerical solution of boundary value problems. In this context,…
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Taxonomy
TopicsMatrix Theory and Algorithms · Spectral Theory in Mathematical Physics · Advanced Mathematical Modeling in Engineering
