A scaling limit of the 2D parabolic Anderson model with exclusion interaction
arXiv:2403.17669
Abstract
We consider the (discrete) parabolic Anderson model , , . Here, the -field is -valued, acting as a dynamic random environment, and represents the discrete Laplacian. We focus on the case where is given by a rescaled symmetric simple exclusion process which converges to an Ornstein--Uhlenbeck process. By scaling the Laplacian diffusively and considering the equation on a torus, we demonstrate that in dimension , when a suitably renormalized version of the above equation is considered, the sequence of solutions converges in law. This resolves an open problem from~\cite{EH23}, where a similar result was shown in the three-dimensional case. The novel contribution in the present work is the establishment of a gradient bound on the transition probability of a fixed but arbitrary number of labelled exclusion particles.
arXiv admin note: text overlap with arXiv:2103.13479