Optimal distributed control of an extended model of tumor growth with logarithmic potential

TL;DR

This paper develops an optimal control framework for an extended tumor growth model based on a phase field system with a logarithmic potential, establishing existence, differentiability, and optimality conditions.

Contribution

It introduces a control variable into a complex tumor growth model with singular potentials and proves key properties like existence and differentiability of the control-to-state map.

Findings

Existence of an optimal control for the tumor growth model.

Lipschitz continuity and Fréchet differentiability of the control-to-state mapping.

Derivation of first-order necessary optimality conditions.

Abstract

This paper is intended to tackle the control problem associated with an extended phase field system of Cahn-Hilliard type that is related to a tumor growth model. This system has been investigated in previous contributions from the viewpoint of well-posedness and asymptotic analyses. Here, we aim to extend the mathematical studies around this system by introducing a control variable and handling the corresponding control problem. We try to keep the potential as general as possible, focusing our investigation towards singular potentials, such as the logarithmic one. We establish the existence of optimal control, the Lipschitz continuity of the control-to-state mapping and even its Fr\'echet differentiability in suitable Banach spaces. Moreover, we derive the first-order necessary conditions that an optimal control has to satisfy.