Controllability for semi-discrete semilinear stochastic parabolic operators
Abstract
In \cite{LPP:2025}, it was shown that, in arbitrary dimension, the spatial semi-discretization of a controlled stochastic parabolic operator is generically not null-controllable. Nevertheless, -null controllability results remain attainable. The present paper extends those results to semi-discrete semilinear stochastic operators in arbitrary dimension, whose nonlinearities may also depend on the first-order spatial derivatives. The approach relies on establishing a new Carleman estimate for the adjoint backward stochastic parabolic operator, which yields -null controllability for the associated linear system via a duality argument. The semilinear case is handeld by means of a fixed-point argument. As particular cases, our results recover the one-dimensional linear results of \cite{zhao:2024}, the multidimensional linear results of \cite{LPP:2025}, and the semilinear one-dimensional framework of \cite{WZ:2025} in the absence of gradient dependence.
Keywords
Cite
@article{arxiv.2604.05155,
title = {Controllability for semi-discrete semilinear stochastic parabolic operators},
author = {Rodrigo Lecaros and Ariel A. Pérez and Manuel F. Prado},
journal= {arXiv preprint arXiv:2604.05155},
year = {2026}
}