22 citations · 30 across the 31 of their papers we have counts for
27 papers · 1 filter
Overlap structure of mixed even -spin models
P. M. Aronow, Patrick Lopatto
We identify the limiting overlap structure of mixed even -spin models, including the Sherrington-Kirkpatrick model, at every fixed deterministic external field. In particular, w…
Parisi measure of the Sherrington-Kirkpatrick model with external field
Patrick Lopatto
We prove that the Parisi measure of the Sherrington-Kirkpatrick model has connected support at every positive temperature and every positive external field. When the model breaks r…
Quantitative Parisi formulas and fluctuations in the Sherrington-Kirkpatrick model
P. M. Aronow, Patrick Lopatto
We establish quantitative Parisi formulas and fluctuation bounds for the Sherrington-Kirkpatrick model at zero external field. In particular, using that the Parisi measure is suppo…
Optimal central limit theorem for bounded random variables in high dimensions
P. M. Aronow, Patrick Lopatto
Let , where the are independent centered random vectors in with almost surely. Suppose that has un…
Replica symmetry breaking at arbitrary depth
P. M. Aronow, Patrick Lopatto
We study finite-step replica symmetry breaking (RSB) in mixed -spin Ising spin glasses at positive temperature and zero external field. For every integer , we construct…
Full replica symmetry breaking in the Sherrington-Kirkpatrick model
Patrick Lopatto
We prove that, at zero external field and for every inverse temperature , the Parisi measure of the Sherrington-Kirkpatrick model is supported on an interval , with a…
Sobolev convergence of log-determinants for smooth Wigner matrices
Giorgio Cipolloni, Patrick Lopatto
We show that the fields emerging from the log-determinant and the eigenvalue counting function of smooth Wigner matrices converge in law to centered Gaussian, logarithmically corre…
Replica symmetry up to the de Almeida-Thouless line in the Sherrington-Kirkpatrick model
Patrick Lopatto
We show that in the Sherrington-Kirkpatrick model at inverse temperature with uniform external field , replica symmetry holds for the set of pairs predicted by de…
Mobility Edge for the Anderson Model on Random Regular Graphs
Suhan Liu, Patrick Lopatto
We determine the phase diagram of the Anderson tight-binding model on random regular graphs with Gaussian disorder and sufficiently large degree. In particular, we prove that if th…
Mobility Edge for the Anderson Model on the Bethe Lattice
Amol Aggarwal, Patrick Lopatto
We pinpoint the spectral decomposition for the Anderson tight-binding model with an unbounded random potential on the Bethe lattice of sufficiently large degree. We prove that ther…
Maximum gap in complex Ginibre matrices
Patrick Lopatto, Moritz Otto
We determine the asymptotic size of the largest gap between bulk eigenvalues in complex Ginibre matrices.
Smallest gaps between eigenvalues of real Gaussian matrices
Patrick Lopatto, Matthew Meeker
We consider an matrix of independent real Gaussian random variables and determine the asymptotic distribution of the smallest gaps between complex eigenvalues.
Optimal rigidity and maximum of the characteristic polynomial of Wigner matrices
Paul Bourgade, Patrick Lopatto, Ofer Zeitouni
We determine to leading order the maximum of the characteristic polynomial for Wigner matrices and -ensembles. In the special case of Gaussian-divisible Wigner matrices, our met…
Quenched large deviation principles for random projections of balls
Patrick Lopatto, Kavita Ramanan, Xiaoyu Xie
Let be a sequence of positive integers growing to infinity at a sublinear rate, and as $n \rightarrow \inf…
Central limit theorem for the complex eigenvalues of Gaussian random matrices
Advay Goel, Patrick Lopatto, Xiaoyu Xie
We establish a central limit theorem for the eigenvalue counting function of a matrix of real Gaussian random variables.
Fluctuations in Quantum Unique Ergodicity at the Spectral Edge
Lucas Benigni, Nixia Chen, Patrick Lopatto +1
We study the eigenvector mass distribution of an Wigner matrix on a set of coordinates satisfying for some constant . For eigenvectors corresp…
Existence of the free energy for heavy-tailed spin glasses
Aukosh Jagannath, Patrick Lopatto
We study the free energy of a mean-field spin glass whose coupling distribution has power law tails. Under the assumption that the couplings have infinite variance and finite mean,…
Mobility Edge for Lévy Matrices
Amol Aggarwal, Charles Bordenave, Patrick Lopatto
Lévy matrices are symmetric random matrices whose entry distributions lie in the domain of attraction of an -stable law. For , predictions from the physics literature sugg…
Fluctuations in local quantum unique ergodicity for generalized Wigner matrices
Lucas Benigni, Patrick Lopatto
We study the eigenvector mass distribution for generalized Wigner matrices on a set of coordinates , where , and prove it converg…
Optimal Delocalization for Generalized Wigner Matrices
Lucas Benigni, Patrick Lopatto
We study the eigenvectors of generalized Wigner matrices with subexponential entries and prove that they delocalize at the optimal rate with overwhelming probability. We also prove…
Eigenvector Statistics of Lévy Matrices
Amol Aggarwal, Patrick Lopatto, Jake Marcinek
We analyze statistics for eigenvector entries of heavy-tailed random symmetric matrices (also called Lévy matrices) whose associated eigenvalues are sufficiently small. We show tha…
Universality of the least singular value for the sum of random matrices
Ziliang Che, Patrick Lopatto
We consider the least singular value of , where are independent Haar-distributed unitary matrices and are deterministic diagonal matrices. Un…
Tail bounds for gaps between eigenvalues of sparse random matrices
Patrick Lopatto, Kyle Luh
We prove the first eigenvalue repulsion bound for sparse random matrices. As a consequence, we show that these matrices have simple spectrum, improving the range of sparsity and er…
Comparison theorem for some extremal eigenvalue statistics
Benjamin Landon, Patrick Lopatto, Jake Marcinek
We introduce a method for the comparison of some extremal eigenvalue statistics of random matrices. For example, it allows one to compare the maximal eigenvalue gap in the bulk of…