Nutrient control for a viscous Cahn–Hilliard–Keller–Segel model with logistic source describing tumor growth

In this paper, we address a distributed control problem for a system of partial differential equations describing the evolution of a tumor that takes the biological mechanism of chemotaxis into account. The system describing the evolution is obtained as a nontrivial combination of a Cahn-Hilliard type system accounting for the segregation between tumor cells and healthy cells, with a Keller-Segel type equation accounting for the evolution of a nutrient species and modeling the chemotaxis phenomenon. First, we develop a robust mathematical background that allows us to analyze an associated optimal control problem. This analysis forced us to select a source term of logistic type in the nutrient equation and to restrict the analysis to the case of two space dimensions. Then, the existence of an optimal control and first-order necessary conditions for optimality are established.

[1]  S. Luzzi,et al.  An image-informed Cahn-Hilliard Keller-Segel multiphase field model for tumor growth with angiogenesis , 2022, Appl. Math. Comput..

[2]  J. Sprekels,et al.  Optimal Control Problems with Sparsity for Tumor Growth Models Involving Variational Inequalities , 2022, Journal of Optimization Theory and Applications.

[3]  A. Signori,et al.  On a Cahn–Hilliard–Keller–Segel model with generalized logistic source describing tumor growth , 2022, Journal of Differential Equations.

[4]  A. Signori,et al.  Existence of weak solutions to multiphase Cahn–Hilliard–Darcy and Cahn–Hilliard–Brinkman models for stratified tumor growth with chemotaxis and general source terms , 2021, Communications in Partial Differential Equations.

[5]  Pierluigi Colli,et al.  Optimal control problems with sparsity for phase field tumor growth models involving variational inequalities , 2021, 2104.09814.

[6]  Luca Scarpa,et al.  Parameter identification for nonlocal phase field models for tumor growth via optimal control and asymptotic analysis , 2020, Mathematical Models and Methods in Applied Sciences.

[7]  J. Sprekels,et al.  Second-order analysis of an optimal control problem in a phase field tumor growth model with singular potentials and chemotaxis , 2020, ESAIM: Control, Optimisation and Calculus of Variations.

[8]  A. Signori,et al.  On a class of non-local phase-field models for tumor growth with possibly singular potentials, chemotaxis, and active transport , 2020, Nonlinearity.

[9]  J. Sprekels,et al.  Optimal Control of a Phase Field System Modelling Tumor Growth with Chemotaxis and Singular Potentials , 2019, Applied Mathematics & Optimization.

[10]  J. Sprekels,et al.  Optimal Control of a Phase Field System Modelling Tumor Growth with Chemotaxis and Singular Potentials , 2019, Applied Mathematics & Optimization.

[11]  A. Signori Optimal Distributed Control of an Extended Model of Tumor Growth with Logarithmic Potential , 2018, Applied Mathematics & Optimization.

[12]  Harald Garcke,et al.  Analysis of a Cahn–Hilliard–Brinkman model for tumour growth with chemotaxis , 2018, Journal of Differential Equations.

[13]  M. Winkler Emergence of large population densities despite logistic growth restrictions in fully parabolic chemotaxis systems , 2017 .

[14]  Harald Garcke,et al.  Analysis of a Cahn--Hilliard system with non-zero Dirichlet conditions modeling tumor growth with chemotaxis , 2016, 1604.00287.

[15]  Harald Garcke,et al.  A Cahn–Hilliard–Darcy model for tumour growth with chemotaxis and active transport , 2015, 1508.00437.

[16]  Michael Winkler,et al.  Finite-time blow-up in the higher-dimensional parabolic-parabolic Keller-Segel system , 2011, 1112.4156.

[17]  Michael Winkler,et al.  Boundedness in the Higher-Dimensional Parabolic-Parabolic Chemotaxis System with Logistic Source , 2010 .

[18]  M. Chaplain,et al.  Continuous and discrete mathematical models of tumor-induced angiogenesis , 1998, Bulletin of mathematical biology.

[19]  A. Bikfalvi,et al.  Tumor angiogenesis , 2020, Advances in cancer research.