Numerical Approaches to Compute Spectra of Non-Self Adjoint Operators in Two and Three Dimensions

In this article we are interested in the numerical computation of spectra of non-self adjoint quadratic operators, in two and three spatial dimensions. Indeed, in the multidimensional case very few results are known on the location of the eigenvalues. This leads to solve nonlinear eigenvalue problems. In introduction we begin with a review of theoretical results and numerical results obtained for the one dimensional case. Then we present the numerical methods developed to compute the spectra (finite difference discretization) for the two and three dimensional cases. The numerical results obtained are presented and analyzed. One difficulty here is that we have to compute eigenvalues of strongly non-self-adjoint operators which are unstable. This work is in continuity of a previous work in one spatial dimension [3].

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Publication Details

Journal
Annals of Applied Mathematics
Published
2025-03-02
DOI
https://doi.org/10.4208/aam.oa-2024-0026
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Numerical Approaches to Compute Spectra of Non-Self Adjoint Operators in Two and Three Dimensions

Fatima Aboud, Françoise Robert
Annals of Applied Mathematics
Numerical methods in inverse problems
article

Numerical Approaches to Compute Spectra of Non-Self Adjoint Operators in Two and Three Dimensions

Fatima Aboud, Françoise Robert
article en

Abstract

In this article we are interested in the numerical computation of spectra of non-self adjoint quadratic operators, in two and three spatial dimensions. Indeed, in the multidimensional case very few results are known on the location of the eigenvalues. This leads to solve nonlinear eigenvalue problems. In introduction we begin with a review of theoretical results and numerical results obtained for the one dimensional case. Then we present the numerical methods developed to compute the spectra (finite difference discretization) for the two and three dimensional cases. The numerical results obtained are presented and analyzed. One difficulty here is that we have to compute eigenvalues of strongly non-self-adjoint operators which are unstable. This work is in continuity of a previous work in one spatial dimension [3].

Annals of Applied MathematicsVol. 41(2)
Reduced inequalities
Openalex Percentile: Top 92%
Numerical methods in inverse problems
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