Abstract
A distributed optimal control problem for an extended model of phase field type for tumor growth is addressed. In this model, the chemotaxis effects are also taken into account. The control is realized by two control variables that design the dispensation of some drugs to the patient. The cost functional is of tracking type, whereas the potential setting has been kept quite general in order to allow regular and singular potentials to be considered. In this direction, some relaxation terms have been introduced in the system. We show the well-posedness of the state system, the Fréchet differentiability of the control-to-state operator in a suitable functional analytic framework, and, lastly, we characterize the first-order necessary conditions of optimality in terms of a variational inequality involving the adjoint variables.
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Change history
15 April 2021
A Correction to this paper has been published: https://doi.org/10.1007/s00245-021-09771-x
References
Brezis, H.: Opérateurs maximaux monotones et semi-groupes de contractions dans les espaces de Hilbert. North-Holland Mathematics Studies, vol. 5. North-Holland, Amsterdam (1973)
Cavaterra, C., Rocca, E., Wu, H.: Long-time dynamics and optimal control of a diffuse interface model for tumor growth. Appl. Math. Optim. (2019). https://doi.org/10.1007/s00245-019-09562-5
Colli, P., Gilardi, G., Hilhorst, D.: On a Cahn–Hilliard type phase field system related to tumor growth. Discret. Contin. Dyn. Syst. 35, 2423–2442 (2015)
Colli, P., Gilardi, G., Rocca, E., Sprekels, J.: Vanishing viscosities and error estimate for a Cahn–Hilliard type phase field system related to tumor growth. Nonlinear Anal. Real World Appl. 26, 93–108 (2015)
Colli, P., Gilardi, G., Rocca, E., Sprekels, J.: Asymptotic analyses and error estimates for a Cahn–Hilliard type phase field system modelling tumor growth. Discret. Contin. Dyn. Syst. Ser. S 10, 37–54 (2017)
Colli, P., Gilardi, G., Rocca, E., Sprekels, J.: Optimal distributed control of a diffuse interface model of tumor growth. Nonlinearity 30, 2518–2546 (2017)
Colli, P., Gilardi, G., Marinoschi, G., Rocca, E.: Sliding mode control for a phase field system related to tumor growth. Appl. Math. Optim. 79, 647–670 (2019)
Colli, P., Gilardi, G., Sprekels, J.: Well-posedness and regularity for a fractional tumor growth model. Adv. Math. Sci. Appl. 28, 343–375 (2019)
Colli, P., Gilardi, G., Sprekels, J.: A distributed control problem for a fractional tumor growth model. Mathematics (2019). https://doi.org/10.3390/math7090792
Colli, P., Gilardi, G., Sprekels, J.: Asymptotic analysis of a tumor growth model with fractional operators. Asymptot. Anal. (2019). https://doi.org/10.3233/ASY-191578
Cristini, V., Lowengrub, J.: Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach. Cambridge University Press, Leiden (2010)
Cristini, V., Li, X., Lowengrub, J.S., Wise, S.M.: Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching. J. Math. Biol. 58, 723–763 (2009)
Dai, M., Feireisl, E., Rocca, E., Schimperna, G., Schonbek, M.E.: Analysis of a diffuse interface model of multi-species tumor growth. Nonlinearity 30, 1639–1658 (2017)
Ebenbeck, M., Garcke, H.: Analysis of a Cahn–Hilliard–Brinkman model for tumour growth with chemotaxis. J. Differ. Equ. 266, 5998–6036 (2019)
Ebenbeck, M., Knopf, P.: Optimal control theory and advanced optimality conditions for a diffuse interface model of tumor growth. ESAIM Control Optim. Calc. Var. (2019). https://doi.org/10.1051/cocv/2019059
Ebenbeck, M., Knopf, P.: Optimal medication for tumors modeled by a Cahn–Hilliard–Brinkman equation. Calc. Var. Partial Differ. Equ. (2019). https://doi.org/10.1007/s00526-019-1579-z
Frigeri, S., Grasselli, M., Rocca, E.: On a diffuse interface model of tumor growth. Eur. J. Appl. Math. 26, 215–243 (2015)
Frigeri, S., Lam, K.F., Rocca, E.: On a diffuse interface model for tumour growth with non-local interactions and degenerate mobilities. In: Colli, P., Favini, A., Rocca, E., Schimperna, G., Sprekels, J. (eds.) Solvability, Regularity, and Optimal Control of Boundary Value Problems for PDEs. Springer INdAM Series, vol. 22, pp. 217–254. Springer, Cham (2017)
Frigeri, S., Lam, K.F., Rocca, E., Schimperna, G.: On a multi-species Cahn–Hilliard–Darcy tumor growth model with singular potentials. Commun. Math Sci. 16, 821–856 (2018)
Garcke, H., Lam, K.F.: Global weak solutions and asymptotic limits of a Cahn–Hilliard–Darcy system modelling tumour growth. AIMS Math. 1, 318–360 (2016)
Garcke, H., Lam, K.F.: Well-posedness of a Cahn–Hilliard system modelling tumour growth with chemotaxis and active transport. Eur. J. Appl. Math. 28, 284–316 (2017)
Garcke, H., Lam, K.F.: Analysis of a Cahn–Hilliard system with non-zero Dirichlet conditions modeling tumor growth with chemotaxis. Discret. Contin. Dyn. Syst. 37, 4277–4308 (2017)
Garcke, H., Lam, K.F.: On a Cahn–Hilliard–Darcy system for tumour growth with solution dependent source terms. In: Rocca, E., Stefanelli, U., Truskinovski, L., Visintin, A. (eds.) Trends on Applications of Mathematics to Mechanics. Springer INdAM Series, vol. 27, pp. 243–264 . Springer, Cham (2018)
Garcke, H., Lam, K.F., Sitka, E., Styles, V.: A Cahn–Hilliard–Darcy model for tumour growth with chemotaxis and active transport. Math. Model. Methods Appl. Sci. 26, 1095–1148 (2016)
Garcke, H., Lam, K.F., Nürnberg, R., Sitka, E.: A multiphase Cahn–Hilliard–Darcy model for tumour growth with necrosis. Math. Models Methods Appl. Sci. 28, 525–577 (2018)
Garcke, H., Lam, K.F., Rocca, E.: Optimal control of treatment time in a diffuse interface model of tumor growth. Appl. Math. Optim. 78, 495–544 (2018)
Hawkins-Daarud, A., van der Zee, K.G., Oden, J.T.: Numerical simulation of a thermodynamically consistent four-species tumor growth model. Int. J. Numer. Math. Biomed. Eng. 28, 3–24 (2011)
Hawkins-Daarud, A., Prudhomme, S., van der Zee, K.G., Oden, J.T.: Bayesian calibration, validation, and uncertainty quantification of diffuse interface models of tumor growth. J. Math. Biol. 67, 1457–1485 (2013)
Hilhorst, D., Kampmann, J., Nguyen, T.N., van der Zee, K.G.: Formal asymptotic limit of a diffuse-interface tumor-growth model. Math. Model. Methods Appl. Sci. 25, 1011–1043 (2015)
Ladyženskaja, O.A., Solonnikov, V.A., Uralceva, N.N.: Linear and Quasilinear Equations of Parabolic Type. Mathematical Monographs, vol. 23. American Mathematical Society, Providence (1968)
Lions, J.-L.: Contrôle optimal de systèmes gouvernés par des equations aux dérivées partielles. Dunod, Paris (1968)
Miranville, A., Rocca, E., Schimperna, G.: On the long time behavior of a tumor growth model. J. Differ. Equ. 267, 2616–2642 (2019)
Oden, J.T., Hawkins, A., Prudhomme, S.: General diffuse-interface theories and an approach to predictive tumor growth modeling. Math. Model. Methods Appl. Sci. 20, 477–517 (2010)
Signori, A.: Optimal distributed control of an extended model of tumor growth with logarithmic potential. Appl. Math. Optim. (2019). https://doi.org/10.1007/s00245-018-9538-1
Signori, A.: Optimality conditions for an extended tumor growth model with double obstacle potential via deep quench approach. Evol. Equ. Control Theory (2019). https://doi.org/10.3934/eect.2020003
Signori, A.: Optimal treatment for a phase field system of Cahn–Hilliard type modeling tumor growth by asymptotic scheme. Math. Control Relat. Fields (2019). https://doi.org/10.3934/mcrf.2019040
Signori, A.: Vanishing parameter for an optimal control problem modeling tumor growth. Asymptot. Anal. (2019). https://doi.org/10.3233/ASY-191546
Simon, J.: Compact sets in the space \(L^p(0, T; B)\). Ann. Mat. Pura Appl. (4) 146, 65–96 (1987)
Sprekels, J., Wu, H.: Optimal distributed control of a Cahn–Hilliard–Darcy system with mass sources. Appl. Math. Optim. (2019). https://doi.org/10.1007/s00245-019-09555-4
Tröltzsch, F.: Optimal Control of Partial Differential Equations. Theory, Methods and Applications. Graduate Student in Mathematics, vol. 112. AMS, Providence, RI (2010)
Wise, S.M., Lowengrub, J.S., Frieboes, H.B., Cristini, V.: Three-dimensional multispecies nonlinear tumor growth—I: model and numerical method. J. Theor. Biol. 253, 524–543 (2008)
Wu, X., van Zwieten, G.J., van der Zee, K.G.: Stabilized second-order splitting schemes for Cahn–Hilliard models with applications to diffuse-interface tumor-growth models. Int. J. Numer. Methods Biomed. Eng. 30, 180–203 (2014)
Acknowledgements
The authors are very grateful to the anonymous referee for the careful reading of the manuscript and for some useful suggestions. The research of Pierluigi Colli is supported by the Italian Ministry of Education, University and Research (MIUR): Dipartimenti di Eccellenza Program (2018–2022)—Dept. of Mathematics “F. Casorati”, University of Pavia. In addition, PC gratefully acknowledges some other support from the GNAMPA (Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni) of INdAM (Istituto Nazionale di Alta Matematica) and the IMATI – C.N.R. Pavia, Italy.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Colli, P., Signori, A. & Sprekels, J. Optimal Control of a Phase Field System Modelling Tumor Growth with Chemotaxis and Singular Potentials. Appl Math Optim 83, 2017–2049 (2021). https://doi.org/10.1007/s00245-019-09618-6
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00245-019-09618-6
Keywords
- Distributed optimal control
- Tumor growth
- Cancer treatment
- Phase field system
- Evolution equations
- Chemotaxis
- Adjoint system
- Necessary optimality conditions