Treffer: Electronic states in the Anderson model of localization : benchmarking eigenvalue algorithms
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Physics of condensed state: electronic structure, electrical, magnetic and optical properties
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Multifractal analysis is a convenient tool to investigate localization properties of wavefunctions. For this purpose. eigenvectors for system sizes as large as possible are needed. We apply several modern eigenvalue algorithms to compute a few eigenvectors for the sparse, real, symmetric, and indefinite matrices of the Anderson model of localization in the hand center. This seemingly innocuous problem turns out to be a major challenge for all modern eigenvalue algorithms, because we find the Lanczos implementation of Cullum and Willoughby to be the fastest and most memory efficient algorithm for our matrix type. It can, moreover, be effectively parallelized. Here, its results are used for the multifractal analysis, in particular to demonstrate that the singularity spectra of the wave functions do not depend on the system size at the metal-insulator transition.