TL;DR
This paper introduces a fast numerical method for locating high-order exceptional points in non-Hermitian parametric eigenvalue problems, applicable to various physical systems and scalable to large matrices.
Contribution
The paper presents a novel algorithm that computes derivatives and reconstructs eigenvalues to efficiently find exceptional points in complex parameter spaces.
Findings
Method accurately locates high-order EPs in diverse applications.
Scalable to large sparse matrices from finite element discretizations.
Applicable to physical systems in quantum mechanics, optics, and engineering.
Abstract
A numerical algorithm is proposed to deal with parametric eigenvalue problems involving non-Hermitian matrices and is exploited to find location of defective eigenvalues in the parameter space of non-Hermitian parametric eigenvalue problems. These non-Hermitian degeneracies also called exceptional points (EP) have raised considerable attention in the scientific community as these can have a great impact in a variety of physical problems. The method first requires the computation of high order derivatives of a few selected eigenvalues with respect to each parameter involved. The second step is to recombine these quantities to form new coefficients associated with a partial characteristic polynomial (PCP). By construction, these coefficients are regular functions in a large domain of the parameter space which means that the PCP allows one to recover the selected eigenvalues as well as the…
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