We investigate the dynamics of a nonlinear system modeling tumor growth with drug application. The tumor is viewed as a mixture consisting of proliferating, quiescent and dead cells as well as a nutrient in the presence of a drug. The system is given by a multi-phase flow model: the densities of the different cells are governed by a set of transport equations, the density of the nutrient and the density of the drug are governed by rather general diffusion equations, while the velocity of the tumor is given by Darcy’s equation. The domain occupied by the tumor in this setting is a growing continuum Ω with boundary ∂Ω both of which evolve in time. Global-in-time weak solutions are obtained using an approach based on the vanishing viscosity of the Brinkman’s regularization. Both the solutions and the domain are rather general, no symmetry assumption is required and the result holds for large initial data.

On the vanishing viscosity approximation of a nonlinear model for tumor growth

Donatelli, Donatella;
2018-01-01

Abstract

We investigate the dynamics of a nonlinear system modeling tumor growth with drug application. The tumor is viewed as a mixture consisting of proliferating, quiescent and dead cells as well as a nutrient in the presence of a drug. The system is given by a multi-phase flow model: the densities of the different cells are governed by a set of transport equations, the density of the nutrient and the density of the drug are governed by rather general diffusion equations, while the velocity of the tumor is given by Darcy’s equation. The domain occupied by the tumor in this setting is a growing continuum Ω with boundary ∂Ω both of which evolve in time. Global-in-time weak solutions are obtained using an approach based on the vanishing viscosity of the Brinkman’s regularization. Both the solutions and the domain are rather general, no symmetry assumption is required and the result holds for large initial data.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/128062
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