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Solving two-parameter eigenvalue problems using an alternating method (2008.03385v2)

Published 7 Aug 2020 in math.NA and cs.NA

Abstract: We present a new approach to compute selected eigenvalues and eigenvectors of the two-parameter eigenvalue problem. Our method requires computing generalized eigenvalue problems of the same size as the matrices of the initial two-parameter eigenvalue problem. The method is applicable for right definite problems, possibly after performing an affine transformation. This includes a class of Helmholtz equations when separation of variables is applied. We provide a convergence proof for extremal eigenvalues and empirical evidence along with a local convergence proof for other eigenvalues.

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Authors (2)
  1. Henrik Eisenmann (10 papers)
  2. Yuji Nakatsukasa (69 papers)
Citations (1)

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