2006SIAM Journal on Matrix Analysis and ApplicationsRequires access

Computation of Smallest Eigenvalues in the Sturm–Liouville Problem with Strongly Varying Coefficients

Alexander Malyshev

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Abstract

An efficient method is developed for computation of eigenvalues and eigenvectors with high relative precision in the Sturm–Liouville problem with strongly varying coefficients. Accuracy of the method is independent of the traditional condition number. New structured condition numbers for nonmultiple eigenvalues are introduced.

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What this paper is about

An efficient method is developed for computation of eigenvalues and eigenvectors with high relative precision in the Sturm–Liouville problem with strongly varying coefficients. Accuracy of the method is independent of the traditional condition number. New structured condition numbers for nonmultiple eigenvalues are introduced.

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Available abstract

An efficient method is developed for computation of eigenvalues and eigenvectors with high relative precision in the Sturm–Liouville problem with strongly varying coefficients. Accuracy of the method is independent of the traditional condition number. New structured condition numbers for nonmultiple eigenvalues are introduced.

Key concepts: Sturm–Liouville theory, Eigenvalues and eigenvectors, Mathematics, Computation, Applied mathematics, Mathematical analysis, Combinatorics, Algorithm

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