Renormalization Group Analysis of the Anderson Model on Random Regular Graphs
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| Main Authors: | , , , |
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| Format: | Preprint |
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2023
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| _version_ | 1866913427398590464 |
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| author | Vanoni, Carlo Altshuler, Boris L. Kravtsov, Vladimir E. Scardicchio, Antonello |
| author_facet | Vanoni, Carlo Altshuler, Boris L. Kravtsov, Vladimir E. Scardicchio, Antonello |
| contents | We present a renormalization group analysis of the problem of Anderson localization on a Random Regular Graph (RRG) which generalizes the renormalization group of Abrahams, Anderson, Licciardello, and Ramakrishnan to infinite-dimensional graphs. The renormalization group equations necessarily involve two parameters (one being the changing connectivity of sub-trees), but we show that the one-parameter scaling hypothesis is recovered for sufficiently large system sizes for both eigenstates and spectrum observables. We also explain the non-monotonic behavior of dynamical and spectral quantities as a function of the system size for values of disorder close to the transition, by identifying two terms in the beta function of the running fractal dimension of different signs and functional dependence. Our theory provides a simple and coherent explanation for the unusual scaling behavior observed in numerical data of the Anderson model on RRG and of Many-Body Localization. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2306_14965 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Renormalization Group Analysis of the Anderson Model on Random Regular Graphs Vanoni, Carlo Altshuler, Boris L. Kravtsov, Vladimir E. Scardicchio, Antonello Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics We present a renormalization group analysis of the problem of Anderson localization on a Random Regular Graph (RRG) which generalizes the renormalization group of Abrahams, Anderson, Licciardello, and Ramakrishnan to infinite-dimensional graphs. The renormalization group equations necessarily involve two parameters (one being the changing connectivity of sub-trees), but we show that the one-parameter scaling hypothesis is recovered for sufficiently large system sizes for both eigenstates and spectrum observables. We also explain the non-monotonic behavior of dynamical and spectral quantities as a function of the system size for values of disorder close to the transition, by identifying two terms in the beta function of the running fractal dimension of different signs and functional dependence. Our theory provides a simple and coherent explanation for the unusual scaling behavior observed in numerical data of the Anderson model on RRG and of Many-Body Localization. |
| title | Renormalization Group Analysis of the Anderson Model on Random Regular Graphs |
| topic | Disordered Systems and Neural Networks Statistical Mechanics Quantum Physics |
| url | https://arxiv.org/abs/2306.14965 |