collaborators

6 papers

cond-mat.stat-mech2026

Power spectral density of trajectories of active Ornstein-Uhlenbeck particles

Yeongjin Kim, Gleb Oshanin, Jae-Hyung Jeon

The power spectral density (PSD) is a central frequency-domain descriptor of stochastic processes. While PSDs have been studied for Brownian motion and a few anomalous diffusion pr…

cond-mat.stat-mech2026

Lack of self-averaging of the critical internal energy in a weakly-disordered Baxter model

Ramgopal Agrawal, Victor Dotsenko, Maxym Dudka +3

We investigate the first two moments of the critical internal energy in a weakly disordered two-dimensional Baxter eight-vertex model as a function of the system size , eval…

cond-mat.stat-mech2026

Diffusing diffusivity model with dichotomous noise

Dongho Lee, Jae-Hyung Jeon, Pascal Viot +1

We study Langevin dynamics with stochastic diffusivity arising from fluctuations of the surrounding medium. The diffusivity is modeled as Ornstein-Uhlenbeck process driven by symme…

cond-mat.stat-mech2025

Stochastic gyration driven by dichotomous noises

Timothée Herbeau, Leonid Pastur, Pascal Viot +1

We consider stochastic dynamics of a particle on a plane in presence of two noises and a confining parabolic potential - an analog of the experimentally-relevant Brownian Gyrator (…

cond-mat.stat-mech2025

Path-integrals and optimal paths for the fractional Ornstein-Uhlenbeck process

Bing Miao, Gleb Oshanin, Luca Peliti

We derive the path-integral representation of the fractional Ornstein-Uhlenbeck process driven by Riemann-Liouville fractional Gaussian noise, for both the subdiffusive and superdi…

cond-mat.stat-mech2025

Complex Eigenvalues in a pseudo-Hermitian \b{eta}-Laguerre ensemble

Cleverson Andrade Goulart, Gleb Oshanin, Mauricio Porto Pato

Non-Hermitian PT-symmetric models have been extensively studied in recent years. Following the seminal work that reduced classical random matrix ensembles to a tridiagonal form, se…