Large Disorder Renormalization Group Study of the Anderson Model of Localization
classification
❄️ cond-mat.dis-nn
keywords
disorderandersongrouplargeldrglocalizationmodelrenormalization
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We describe a large disorder renormalization group (LDRG) method for the Anderson model of localization in one dimension which decimates eigenstates based on the size of their wavefunctions rather than their energy. We show that our LDRG scheme flows to infinite disorder, and thus becomes asymptotically exact. We use it to obtain the disorder-averaged inverse participation ratio and density of states for the entire spectrum. A modified scheme is formulated for higher dimensions, which is found to be less efficient, but capable of improvement.
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