activity
20192022
most citedStability of large complex systems with heterogeneous relaxation dynamics

16 citations · 53 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2022

An explicit example for the high temperature convolution: crossover between the binomial law and the arcsine law

Pierre Mergny

In this note, we study the high-temperature convolution introduced in Ref.\ \cite{mergny_cconv}, between two symmetric Bernoulli distributions. We give an analytical expression for…

math-ph2022★ 4 cited

Right large deviation principle for the top eigenvalue of the sum or product of invariant random matrices

Pierre Mergny, Marc Potters

In this note we study the right large deviation of the top eigenvalue (or singular value) of the sum or product of two random matrices and as their dimens…

cond-mat.stat-mech2021★ 16 cited

Stability of large complex systems with heterogeneous relaxation dynamics

Pierre Mergny, Satya N. Majumdar

We study the probability of stability of a large complex system of size within the framework of a generalized May model, which assumes a linear dynamics of each population size…

cond-mat.stat-mech2021★ 11 cited

Rank one HCIZ at high temperature: interpolating between classical and free convolutions

Pierre Mergny, Marc Potters

We study the rank one Harish-Chandra-Itzykson-Zuber integral in the limit where , called the high temperature regime and show that it can be used to construct…

math-ph2020★ 9 cited

Asymptotic behavior of the multiplicative counterpart of the Harish-Chandra integral and the -transform

Pierre Mergny, Marc Potters

In this note, we study the asymptotic of spherical integrals, which are analytical extension in index of the normalized Schur polynomials for , and of Jack symmetric polynomi…

q-bio.BM2019★ 13 cited

Statistical physics of interacting proteins: impact of dataset size and quality assessed in synthetic sequences

Carlos A. Gandarilla-Pérez, Pierre Mergny, Martin Weigt +1

Identifying protein-protein interactions is crucial for a systems-level understanding of the cell. Recently, algorithms based on inverse statistical physics, e.g. Direct Coupling A…