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
C. Lanczos, J. Res. Natl. Bureau Stand. 45, 255 (1951)
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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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Online ISBN: 978-3-642-13990-1
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