Controllability for semi-discrete semilinear stochastic parabolic operators

Fuente: arXiv
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Auteurs principaux: Lecaros, Rodrigo, Pérez, Ariel A., Prado, Manuel F.
Format: Preprint
Publié: 2026
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author Lecaros, Rodrigo
Pérez, Ariel A.
Prado, Manuel F.
author_facet Lecaros, Rodrigo
Pérez, Ariel A.
Prado, Manuel F.
contents 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, $ϕ$-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 $ϕ$-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.
format Preprint
id arxiv_https___arxiv_org_abs_2604_05155
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Controllability for semi-discrete semilinear stochastic parabolic operators
Lecaros, Rodrigo
Pérez, Ariel A.
Prado, Manuel F.
Optimization and Control
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, $ϕ$-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 $ϕ$-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.
title Controllability for semi-discrete semilinear stochastic parabolic operators
topic Optimization and Control
url https://arxiv.org/abs/2604.05155