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.
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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