Random walks: applications and interactions / Marches aléatoires: applications et interactions

Collection Random walks: applications and interactions / Marches aléatoires: applications et interactions

Organisateur(s) Berger, Quentin ; Cottini, Francesca ; Mailler, Cécile ; Raschel, Kilian

Date(s) 19/01/2026 - 23/01/2026

URL associée https://conferences.cirm-math.fr/3451.html

00:00:00 / 00:00:00

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Dynamically emergent correlations

De Satya Majumdar

The goal of this talk is to show that strong correlations between particles may emerge dynamically due to a common stochastically fluctuating environment, even when there is no direct built-in interaction between particles. These correlations grow with time, eventually driving the system into a `strongly correlated' nonequilibrium stationary state with nontrivial properties. I will demonstrate this in an exactly solvable model of noninteracting Brownian particles in a harmonic trap whose stiffness switches between two values at a constant rate. This model has been recently realized experimentally in optically trapped colloidal particle systems. Experimental results agree very well with theoretical predictions.

Informations sur la vidéo

Date de captation 19/01/2026
Date de publication 06/02/2026
Institut CIRM
Licence CC BY NC ND
Langue Anglais
Audience Chercheurs, Doctorants
Réalisateur(s) Guillaume Hennenfent
Format MP4

Données de citation

DOI 10.24350/CIRM.V.20444603
Citer cette vidéo Majumdar, Satya (19/01/2026). Dynamically emergent correlations. CIRM. Audiovisual resource. DOI: 10.24350/CIRM.V.20444603
URL https://dx.doi.org/10.24350/CIRM.V.20444603

Domaine(s)

Mécanique statistique

Bibliographie

BIROLI, Marco, LARRALDE, Hernan, MAJUMDAR, Satya N., et al. Extreme statistics and spacing distribution in a Brownian gas correlated by resetting. Physical Review Letters, 2023, vol. 130, no 20, p. 207101. - https://doi.org/10.1103/PhysRevLett.130.207101

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