Optimality conditions for an extended tumor growth model with double obstacle potential via deep quench approach
arXiv:1811.08626 · doi:10.3934/eect.2020003
Abstract
In this work, we investigate a distributed optimal control problem for an extended phase field system of Cahn--Hilliard type which physical context is that of tumor growth dynamics. In a previous contribution, the author has already studied the corresponding problem for the logarithmic potential. Here, we try to extend the analysis by taking into account a non-smooth singular nonlinearity, namely the double obstacle potential. Due to its non-smoothness behavior, the standard procedure to characterize the necessary conditions for the optimality cannot be performed. Therefore, we follow a different strategy which in the literature is known as the "deep quench" approach in order to obtain some optimality conditions that have to be interpreted in a more general framework. We establish the existence of optimal controls and some first-order optimality conditions for the system are derived by employing suitable approximation schemes.
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- Strong well-posedness and inverse identification problem of a non-local phase field tumor model with degenerate mobilities
- Vanishing parameter for an optimal control problem modeling tumor growth
- Existence of weak solutions to multiphase Cahn-Hilliard-Darcy and Cahn-Hilliard-Brinkman models for stratified tumor growth with chemotaxis and general source terms
- Optimal control problems with sparsity for phase field tumor growth models involving variational inequalities
- Second-order analysis of an optimal control problem in a phase field tumor growth model with singular potentials and chemotaxis