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Eigenvalue Problems

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Abstract

Eigenvalue problems are very common in physics. In many cases they involve solution of a homogeneous system of linear equations with a Hermitian (or symmetric, if real) matrix. The direct solution of the eigenvalue problem is only possible for matrices of very small dimension. For medium-sized problems the Jacobi method or reduction to tridiagonal form by a series of Householder reflections are appropriate. Special algorithms are available for matrices of very large dimension to calculate a small number of eigenvalues and eigenvectors. The famous Lanczos is discussed. A computer experiment demonstrates the application to disorder in a two-dimensional tight-binding model.

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References

  1. C. Lanczos, J. Res. Natl. Bureau Stand. 45, 255 (1951)

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Correspondence to Philipp O.J. Scherer .

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© 2010 Springer-Verlag Berlin Heidelberg

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Scherer, P.O. (2010). Eigenvalue Problems. In: Computational Physics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13990-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-13990-1_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13989-5

  • Online ISBN: 978-3-642-13990-1

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