For symmetric exclusion on Z^d, d>=2, with step and polynomial-shape initial conditions, particle counts beyond a suitable superdiffusive level are asymptotically Poisson, implying Gumbel limits for the rightmost particle and all order statistics.
Particle systems with sources and sinks
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abstract
Local perturbations in conservative particle systems can have a non-local influence on the stationary measure. To capture this phenomenon, we analyze in this paper two toy models. We study the symmetric exclusion process on a countable set of sites V with a source at a given point (called the origin), starting from a Bernoulli product measure with density $\rho$. We prove that when the underlying random walk on V is recurrent, then the system evolves towards full occupation, whereas in the transient case we obtain a limiting distribution which is not product and has long-range correlations. For independent random walkers on V , we analyze the same problem, starting from a Poissonian measure. Via intertwining with a system of ODE's, we prove that the distribution is Poissonian at all later times t \> 0, and that the system ''explodes'' in the limit t $\rightarrow$ $\infty$ if and only if the underlying random walk is recurrent. In the transient case, the limiting density is a simple function of the Green's function of the random walk.
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Poisson statistics, vanishing correlations, and extremal particle limits for symmetric exclusion in d > 1
For symmetric exclusion on Z^d, d>=2, with step and polynomial-shape initial conditions, particle counts beyond a suitable superdiffusive level are asymptotically Poisson, implying Gumbel limits for the rightmost particle and all order statistics.