2021
DOI: 10.1007/s00020-020-02621-5
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Pseudospectrum Enclosures by Discretization

Abstract: A new method to enclose the pseudospectrum via the numerical range of the inverse of a matrix or linear operator is presented. The method is applied to finite-dimensional discretizations of an operator on an infinite-dimensional Hilbert space, and convergence results for different approximation schemes are obtained, including finite element methods. We show that the pseudospectrum of the full operator is contained in an intersection of sets which are expressed in terms of the numerical ranges of shifted invers… Show more

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Cited by 4 publications
(2 citation statements)
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“…But, while these sequences of inclusion sets are of significant theoretical interest and converge in many cases to Spec A, it is unclear, for general operators A and particularly for larger n, how to realise these sets computationally. (However, see the related work of Frommer et al [43] on computation of inclusion sets for pseudospectra via approximate computation of numerical ranges of resolvents of the operator, and work of Bögli and Marletta [6] on inclusion sets for spectra via numerical ranges of related operator pencils. )…”
Section: Related Workmentioning
confidence: 99%
“…But, while these sequences of inclusion sets are of significant theoretical interest and converge in many cases to Spec A, it is unclear, for general operators A and particularly for larger n, how to realise these sets computationally. (However, see the related work of Frommer et al [43] on computation of inclusion sets for pseudospectra via approximate computation of numerical ranges of resolvents of the operator, and work of Bögli and Marletta [6] on inclusion sets for spectra via numerical ranges of related operator pencils. )…”
Section: Related Workmentioning
confidence: 99%
“…We refer to Landau [17,18], Trefthen [26], Böttcher [5,6], Davies [22] for some classical work on pseudospectra. Also see [7,8,9,13,19,20,28] for recent developments.…”
Section: Introductionmentioning
confidence: 99%