A stochastic method to compute the $L^2$ localisation landscape

Masataka Kakoi; Keith Slevin

doi:10.7566/jpsj.92.054707

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arXiv · 2212.10768

A stochastic method to compute the $L^2$ localisation landscape

Masataka Kakoi·Keith Slevin

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Abstract

The $L^2$ localisation landscape of L. Herviou and J. H. Bardarson is a generalisation of the localisation landscape of M. Filoche and S. Mayboroda. We propose a stochastic method to compute the $L^2$ localisation landscape that enables the calculation of landscapes using sparse matrix methods. We also propose an energy filtering of the $L^2$ landscape which can be used to focus on eigenstates with energies in any chosen range of the energy spectrum. We demonstrate the utility of these suggestions by applying the $L^2$ landscape to Anderson's model of localisation in one and two dimensions, and also to localisation in a model of the quantum Hall effect.

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Masataka Kakoi, Keith Slevin. 2022-12-21. A stochastic method to compute the $L^2$ localisation landscape. https://doi.org/10.7566/jpsj.92.054707

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