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Appears in collection : Random walks: applications and interactions / Marches aléatoires: applications et interactions

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.

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Citation data

  • DOI 10.24350/CIRM.V.20444603
  • Cite this video 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

Bibliography

  • 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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