EconPapers    
Economics at your fingertips  
 

Insensitizing the tangential gradient for reaction–diffusion equations with dynamic boundary conditions

Roberto Morales (), Maurício C. Santos () and Nicolás Carreño ()
Additional contact information
Roberto Morales: Universidad de Sevilla
Maurício C. Santos: Federal University of Paraíba
Nicolás Carreño: Universidad Técnica Federico Santa María

Journal of Optimization Theory and Applications, 2026, vol. 208, issue 1, No 55, 35 pages

Abstract: Abstract In this article, we study the existence of insensitizing controls for a nonlinear reaction-diffusion equation with dynamic boundary conditions. The problem consists in finding a control for a system with partially unknown initial data, such that a specific functional is insensitive to small perturbations of this data. More precisely, the functional considered here depends on the norm of the state in a subset of the bulk together with the norm of the tangential gradient of the state on the boundary. This problem is equivalent to a (relaxed) null controllability problem for an optimality system of cascade type, with a zeroth-order coupling term in the bulk and a second-order coupling term on the boundary. To achieve this result, we linearize the system around the origin and analyze it by the duality approach and we prove a new Carleman estimate for the corresponding adjoint system. Then, a local null controllability result for the nonlinear system is proven using an inverse function theorem.

Keywords: Controllability; Heat equation; Dynamic boundary conditions; 93B05; 35Q56; 93B07 (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-025-02881-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:208:y:2026:i:1:d:10.1007_s10957-025-02881-4

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-025-02881-4

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-11-16
Handle: RePEc:spr:joptap:v:208:y:2026:i:1:d:10.1007_s10957-025-02881-4