activity
20052025
most citedOn the localization transition in symmetric random matrices

79 citations · 583 across the 34 of their papers we have counts for

collaborators

35 papers

physics.soc-ph2025★ 3 cited

Epidemic threshold and localization of the SIS model on directed complex networks

Vinícius B. Müller, Fernando L. Metz

We study the susceptible-infected-susceptible (SIS) model on directed complex networks within the quenched mean-field approximation. Combining results from random matrix theory wit…

cond-mat.dis-nn2024★ 3 cited

Random matrix ensemble for the covariance matrix of Ornstein-Uhlenbeck processes with heterogeneous temperatures

Leonardo Ferreira, Fernando Metz, Paolo Barucca

We introduce a random matrix model for the stationary covariance of multivariate Ornstein-Uhlenbeck processes with heterogeneous temperatures, where the covariance is constrained b…

cond-mat.dis-nn2024★ 6 cited

Spectral properties, localization transition and multifractal eigenvectors of the Laplacian on heterogeneous networks

Jeferson D. da Silva, Diego Tapias, Peter Sollich +1

We study the spectral properties and eigenvector statistics of the Laplacian on highly-connected networks with random coupling strengths and a gamma distribution of rescaled degree…

cond-mat.dis-nn2024★ 16 cited

Dynamical Mean-Field Theory of Complex Systems on Sparse Directed Networks

Fernando L. Metz

Although real-world complex systems typically interact through sparse and heterogeneous networks, analytic solutions of their dynamics are limited to models with all-to-all interac…

cond-mat.dis-nn2024★ 6 cited

Effects of clustering heterogeneity on the spectral density of sparse networks

Tuan Minh Pham, Thomas Peron, Fernando L. Metz

We derive exact equations for the spectral density of sparse networks with an arbitrary distribution of the number of single edges and triangles per node. These equations enable a…

cond-mat.stat-mech2022★ 5 cited

Nonequilibrium dynamics of the Ising model on heterogeneous networks with an arbitrary distribution of threshold noise

Leonardo S. Ferreira, Fernando L. Metz

The Ising model on networks plays a fundamental role as a testing ground for understanding cooperative phenomena in complex systems. Here we solve the synchronous dynamics of the I…

cond-mat.dis-nn2022★ 17 cited

Analytic solution of the resolvent equations for heterogeneous random graphs: spectral and localization properties

Jeferson D. Silva, Fernando L. Metz

The spectral and localization properties of heterogeneous random graphs are determined by the resolvent distributional equations, which have so far resisted an analytic treatment.…

cond-mat.dis-nn2021

Mean-field theory of vector spin models on networks with arbitrary degree distributions

Fernando L. Metz, Thomas Peron

Understanding the relationship between the heterogeneous structure of complex networks and cooperative phenomena occurring on them remains a key problem in network science. Mean-fi…

cond-mat.stat-mech2021★ 6 cited

Analytic solution of the two-star model with correlated degrees

Maíra Bolfe, Fernando L. Metz, Edgar Guzmán-González +1

Exponential random graphs are important to model the structure of real-world complex networks. Here we solve the two-star model with degree-degree correlations in the sparse regime…

cond-mat.dis-nn2020★ 2 cited

Analytic approach for the number statistics of non-Hermitian random matrices

Antonio Tonatiúh Ramos Sánchez, Edgar Guzmán-González, Isaac Pérez Castillo +1

We introduce a powerful analytic method to study the statistics of the number of eigenvalues inside any contour for infinitely large…

cond-mat.dis-nn2020★ 18 cited

The spectral density of dense random networks and the breakdown of the Wigner semicircle law

Fernando L. Metz, Jeferson D. Silva

Although the spectra of random networks have been studied for a long time, the influence of network topology on the dense limit of network spectra remains poorly understood. By con…

cond-mat.dis-nn2020★ 27 cited

Localization and universality of eigenvectors in directed random graphs

Fernando L. Metz, Izaak Neri

Although the spectral properties of random graphs have been a long-standing focus of network theory, the properties of right eigenvectors of directed graphs have so far eluded an e…

physics.optics2019★ 19 cited

Superextreme Waves Generation in the Linear Regime

Cristian Bonatto, Sandra D. Prado, Fernando L. Metz +3

Extreme or rogue waves are large and unexpected waves appearing with higher probability than predicted by Gaussian statistics. Although their formation is explained by both linear…

cond-mat.dis-nn2019★ 2 cited

Phase transitions in atypical systems induced by a condensation transition on graphs

Edgar Guzmán-González, Isaac Pérez Castillo, Fernando L. Metz

Random graphs undergo structural phase transitions that are crucial for dynamical processes and cooperative behavior of models defined on graphs. In this work we investigate the im…

cond-mat.stat-mech2019★ 29 cited

Linear stability analysis for large dynamical systems on directed random graphs

Izaak Neri, Fernando Lucas Metz

We present a linear stability analysis of stationary states (or fixed points) in large dynamical systems defined on random directed graphs with a prescribed distribution of indegre…

cond-mat.dis-nn2019★ 9 cited

Condensation of degrees emerging through a first-order phase transition in classical random graphs

Fernando L. Metz, Isaac Pérez Castillo

Due to their conceptual and mathematical simplicity, Erdös-Rényi or classical random graphs remain as a fundamental paradigm to model complex interacting systems in several areas.…

cond-mat.stat-mech2018★ 4 cited

Phase diagram and metastability of the Ising model on two coupled networks

Maíra Bolfe, Lucas Nicolao, Fernando L. Metz

We explore the cooperative behaviour and phase transitions of interacting networks by studying a simplified model consisting of Ising spins placed on the nodes of two coupled Erdös…

cond-mat.dis-nn2018★ 5 cited

Theory for the conditioned spectral density of non-invariant random matrices

Isaac Pérez Castillo, Fernando L. Metz

We develop a theoretical approach to compute the conditioned spectral density of non-invariant random matrices in the limit . This large deviatio…

cond-mat.dis-nn2018★ 16 cited

Large deviation theory for diluted Wishart random matrices

Isaac Pérez Castillo, Fernando L. Metz

Wishart random matrices with a sparse or diluted structure are ubiquitous in the processing of large datasets, with applications in physics, biology and economy. In this work we de…

cond-mat.dis-nn2017★ 45 cited

Level compressibility for the Anderson model on regular random graphs and the eigenvalue statistics in the extended phase

Fernando L. Metz, Isaac Pérez Castillo

We calculate the level compressibility of the energy levels inside for the Anderson model on infinitely large random regular graphs with on-site potentials di…

cond-mat.stat-mech2016★ 39 cited

Eigenvalue Outliers of non-Hermitian Random Matrices with a Local Tree Structure

Izaak Neri, Fernando Lucas Metz

Spectra of sparse non-Hermitian random matrices determine the dynamics of complex processes on graphs. Eigenvalue outliers in the spectrum are of particular interest, since they de…

cond-mat.dis-nn2016★ 38 cited

Large deviation function for the number of eigenvalues of sparse random graphs inside an interval

Fernando L. Metz, Isaac Pérez Castillo

We present a general method to obtain the exact rate function controlling the large deviation probability $\text{Prob}[\mathcal{I}_N[a,b]=kN] \asymp e^{-NΨ_{[a,b]}(k…

cond-mat.stat-mech2015★ 4 cited

Replica-symmetric approach to the typical eigenvalue fluctuations of Gaussian random matrices

Fernando L. Metz

We discuss an approach to compute the first and second moments of the number of eigenvalues that lie in an arbitrary interval of the real line for Gaussian rando…

cond-mat.dis-nn2014★ 1 cited

Statistical mechanics of the spherical hierarchical model with random fields

Fernando L. Metz, Jacopo Rocchi, Pierfrancesco Urbani

We study analytically the equilibrium properties of the spherical hierarchical model in the presence of random fields. The expression for the critical line separating a paramagneti…