Abstract
We study the motion of independent particles in a dynamical random environment on the integer lattice. The environment has a product distribution. For the multidimensional case, we characterize the class of spatially ergodic invariant measures. These invariant distributions are mixtures of inhomogeneous Poisson product measures that depend on the past of the environment. We also investigate the correlations in this measure. For dimensions one and two, we prove convergence to equilibrium from spatially ergodic initial distributions. In the one-dimensional situation we study fluctuations of the net current seen by an observer traveling at a deterministic speed. When this current is centered by its quenched mean its limit distributions are the same as for classical independent particles.
F. Rassoul-Agha was partially supported by NSF grant DMS-1407574 and Simons Foundation grant 306576.
M. Joseph and F. Rassoul-Agha were partially supported by NSF grant DMS-0747758.
T. Seppäläinen was partially supported by NSF grants DMS-0701091, DMS-1003651, DMS-1306777 and DMS-1602486, by Simons Foundation grant 338287, and by the Wisconsin Alumni Research Foundation.
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Joseph, M., Rassoul-Agha, F., Seppäläinen, T. (2019). Independent Particles in a Dynamical Random Environment. In: Friz, P., König, W., Mukherjee, C., Olla, S. (eds) Probability and Analysis in Interacting Physical Systems. VAR75 2016. Springer Proceedings in Mathematics & Statistics, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-15338-0_4
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