We consider the (discrete) parabolic Anderson model ∂ u(t,x)/∂ t=Δ u(t,x) +ξₜ(x) u(t,x), t≥ 0, x∈ Zᵈ. Here, the ξ-field is R-valued, acting as a dynamic random environment, and Δ represents the discrete Laplacian. We focus on the case where ξ 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.
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Erhard et al. (2024) studied this question.
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