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Condensed Matter > Disordered Systems and Neural Networks

Title: Replica approach to the generalized Rosenzweig-Porter model

Abstract: The generalized Rosenzweig-Porter model with real (GOE) off-diagonal entries arguably constitutes the simplest random matrix ensemble displaying a phase with fractal eigenstates, which we characterize here by using replica methods. We first derive analytical expressions for the average spectral density in the limit in which the size $N$ of the matrix is large but finite. We then focus on the number of eigenvalues in a finite interval and compute its cumulant generating function as well as the level compressibility, i.e., the ratio of the first two cumulants: these are useful tools to describe the local level statistics. In particular, the level compressibility is shown to be described by a universal scaling function, which we compute explicitly, when the system is probed over scales of the order of the Thouless energy. Interestingly, the same scaling function is found to describe the level compressibility of the complex (GUE) Rosenzweig-Porter model in this regime. We confirm our results with numerical tests.
Comments: Submission to SciPost; 48 pages, 7 figures; accepted version
Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Statistical Mechanics (cond-mat.stat-mech)
Journal reference: SciPost Phys. 14, 110 (2023)
DOI: 10.21468/SciPostPhys.14.5.110
Cite as: arXiv:2209.11732 [cond-mat.dis-nn]
  (or arXiv:2209.11732v3 [cond-mat.dis-nn] for this version)

Submission history

From: Davide Venturelli [view email]
[v1] Fri, 23 Sep 2022 17:25:16 GMT (358kb,D)
[v2] Wed, 5 Oct 2022 17:06:14 GMT (358kb,D)
[v3] Tue, 21 Mar 2023 17:55:58 GMT (296kb,D)

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