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We consider the (discrete) parabolic Anderson model u (t, x) / t= u (t, x) +ₜ (x) u (t, x), t 0, x Zᵈ. Here, the -field is R-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 d=2, when a suitably renormalized version of the above equation is considered, the sequence of solutions converges in law. This resolves an open problem from~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.
Erhard et al. (Tue,) studied this question.