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Trajectories of Brownian particles with space-correlated noise

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Abstract

The Langevin equation used to model Brownian motion includes a stochastic process that is routinely assumed to be a Gaussian white noise. Spatial correlations of the noise are usually ruled out, and the paths traced by the random walkers are statistically independent. In this study, I consider instead noise which is white in time and has a Gaussian correlation in space, and by means of numerical simulation, I show how the spatial correlation determines the time evolution of the spatial separation of random walkers.

Spatially correlated, fluctuating random fields that drive Brownian particles produce some unexpected effects when the particles are close to one another.

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Correspondence to EDOARDO MILOTTI.

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Special Issue on THEORETICAL CHEMISTRY/CHEMICAL DYNAMICS

Dedicated to the memory of the late Professor Charusita Chakravarty.

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MILOTTI, E. Trajectories of Brownian particles with space-correlated noise. J Chem Sci 129, 983–988 (2017). https://doi.org/10.1007/s12039-017-1256-8

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  • DOI: https://doi.org/10.1007/s12039-017-1256-8

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