Optimal control of a tumor growth model with hyperbolic relaxation of the chemical potential

In this paper, we study the optimal control of a phase field model for a tumor growth model of Cahn–Hilliard type in which the often assumed parabolic relaxation of the chemical potential is replaced by a hyperbolic one. Both the cases when the double-well potential governing the phase evolution is of either regular or logarithmic type are covered by the analysis. We show the Fréchet differentiability of the associated control-to-state operator in suitable Banach spaces and establish first-order necessary optimality conditions in terms of a variational inequality involving the adjoint state variables. The necessary optimality conditions are then used to derive sparsity results for the optimal controls.

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Publication Details

Journal
Weierstraß-Institut für Angewandte Analysis und Stochastik
Published
2026-01-01
DOI
https://doi.org/10.20347/wias.preprint.3268
Primary Topic
Solidification and crystal growth phenomena
Type
article
Field-Weighted Citation Impact
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article

Optimal control of a tumor growth model with hyperbolic relaxation of the chemical potential

Elisabetta Rocca, Pierluigi Colli, J. Sprekels
Weierstraß-Institut für Angewandte Analysis und Stochastik
Solidification and crystal growth phenomena
article

Optimal control of a tumor growth model with hyperbolic relaxation of the chemical potential

Elisabetta Rocca, Pierluigi Colli, J. Sprekels
article en

Abstract

In this paper, we study the optimal control of a phase field model for a tumor growth model of Cahn–Hilliard type in which the often assumed parabolic relaxation of the chemical potential is replaced by a hyperbolic one. Both the cases when the double-well potential governing the phase evolution is of either regular or logarithmic type are covered by the analysis. We show the Fréchet differentiability of the associated control-to-state operator in suitable Banach spaces and establish first-order necessary optimality conditions in terms of a variational inequality involving the adjoint state variables. The necessary optimality conditions are then used to derive sparsity results for the optimal controls.

Weierstraß-Institut für Angewandte Analysis und Stochastik
University of Pavia (IT), Weierstrass Institute for Applied Analysis and Stochastics (DE)
Reduced inequalities
Openalex Percentile: Top 7%
Solidification and crystal growth phenomena
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