Controllability of some semilinear shadow reaction-diffusion systems

The shadow limit is a versatile tool used to study the reduction of reaction-diffusion systems into simpler PDE-ODE models by letting one of the diffusion coefficients tend to infinity. This reduction has been used to understand different qualitative properties and their interplay between the original model and its reduced version. The aim of this work is to extend previous results about the controllability of linear reaction-diffusion equations and how this property is inherited by the corresponding shadow model. Defining a suitable class of nonlinearities and improving some uniform Carleman estimates, we extend the results to the semilinear case and prove that the original model is null-controllable and that the shadow limit preserves this important feature.

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Publication Details

Journal
Asymptotic Analysis
Published
2024-08-19
DOI
https://doi.org/10.3233/asy-241930
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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Controllability of some semilinear shadow reaction-diffusion systems

Víctor Hernández-Santamaría, Alberto Peña-García
Asymptotic Analysis
Nonlinear Dynamics and Pattern Formation
article

Controllability of some semilinear shadow reaction-diffusion systems

Víctor Hernández-Santamaría, Alberto Peña-García
article en

Abstract

The shadow limit is a versatile tool used to study the reduction of reaction-diffusion systems into simpler PDE-ODE models by letting one of the diffusion coefficients tend to infinity. This reduction has been used to understand different qualitative properties and their interplay between the original model and its reduced version. The aim of this work is to extend previous results about the controllability of linear reaction-diffusion equations and how this property is inherited by the corresponding shadow model. Defining a suitable class of nonlinearities and improving some uniform Carleman estimates, we extend the results to the semilinear case and prove that the original model is null-controllable and that the shadow limit preserves this important feature.

Asymptotic AnalysisVol. 143(2)
Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 85%
Nonlinear Dynamics and Pattern Formation
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