Issue |
ESAIM: COCV
Volume 31, 2025
|
|
---|---|---|
Article Number | 31 | |
Number of page(s) | 31 | |
DOI | https://doi.org/10.1051/cocv/2025021 | |
Published online | 31 March 2025 |
Local asymptotics and optimal control for a viscous Cahn–Hilliard–Reaction–Diffusion model for tumor growth
1
Institute for Analysis and Scientific Computing, Vienna University of Technology, Wiedner Hauptstrasse 8–10, 1040 Vienna, Austria
2
Dipartimento di Matematica, Università di Pavia and IMATI – C.N.R., Via Ferrata 5, 27100 Pavia, Italy
3
Department of Mathematics, Politecnico di Milano, Via E. Bonardi 9, 20133 Milano, Italy
4
Department of Mathematics and Scientific Computing, University of Graz, Heinrichstraße 36, 8010 Graz, Austria
* Corresponding author: lara.trussardi@uni-graz.at
Received:
6
December
2023
Accepted:
17
February
2025
In this paper, we study nonlocal-to-local asymptotics for a tumor-growth model coupling a viscous Cahn–Hilliard equation describing the tumor proportion with a reaction–diffusion equation for the nutrient phase parameter. First, we prove that solutions to the nonlocal Cahn–Hilliard system converge, as the nonlocality parameter tends to zero, to solutions to its local counterpart. Second, we provide first-order optimality conditions for an optimal control problem on the local model, accounting also for chemotaxis, and both for regular or singular potentials, without any additional regularity assumptions on the solution operator. The proof is based on an approximation of the local control problem by means of suitable nonlocal ones, and on proving nonlocal-to-local convergence both for the corresponding dual systems and for the associated first-order optimality conditions.
Mathematics Subject Classification: 45K05 / 35K25 / 35K55 / 35B40 / 49K20 / 92B05
Key words: Viscous nonlocal Cahn–Hilliard equation / reaction–diffusion equation / well-posedness / nonlocal-to-local convergence / optimal control / tumor growth models
© The authors. Published by EDP Sciences, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.