Fast non-Hermitian Toeplitz eigenvalue computations, joining matrix-less algorithms and FDE approximation matrices
M. Bogoya, S.M. Grudsky, and S. Serra-Capizzano

TL;DR
This paper develops a high-precision, matrix-less algorithm for computing eigenvalues of non-Hermitian Toeplitz matrices with complex symbols, applicable to fractional diffusion equations, with cost independent of matrix size.
Contribution
It introduces a complete asymptotic expansion for eigenvalues and combines it with matrix-less algorithms for efficient, high-precision eigenvalue computation of non-Hermitian Toeplitz matrices.
Findings
Eigenvalue asymptotic expansion derived for non-Hermitian Toeplitz matrices.
Proposed algorithms have computational cost independent of matrix size.
Numerical results demonstrate high accuracy and efficiency.
Abstract
The present work is devoted to the eigenvalue asymptotic expansion of the Toeplitz matrix whose generating function is complex valued and has a power singularity at one point. As a consequence, is non-Hermitian and we know that the eigenvalue computation is a non-trivial task in the non-Hermitian setting for large sizes. We follow the work of Bogoya, B\"ottcher, Grudsky, and Maximenko and deduce a complete asymptotic expansion for the eigenvalues. After that, we apply matrix-less algorithms, in the spirit of the work by Ekstr\"om, Furci, Garoni, Serra-Capizzano et al, for computing those eigenvalues. Since the inner and extreme eigenvalues have different asymptotic behaviors, we worked on them independently, and combined the results to produce a high precision global numerical and matrix-less algorithm. The numerical results are very precise and the…
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Taxonomy
TopicsMatrix Theory and Algorithms · Spectral Theory in Mathematical Physics · Mathematical functions and polynomials
