We consider nonlinear evolution equations with logistic term satisfying initial Neumann-boundary condition and show global existence in time of solutions to the problem in arbitrary space dimension by using the method of energy. Applying the result to a mathematical model of tumour invasion, we discuss the property of the rigorous solution to the model. Finally we will show the time depending relationship and interaction between tumour cells, the surrounding tissue and matrix degradation enzymes in the model by computer simulations. It is seen that our mathematical result of the existence and asymptotic behaviour of solutions verifies our simulations, which also confirm the mathematical result visibly.
References
[1]
Chaplain, M.A.J. and Lolas, G. (2006) Mathematical Modeling of Cancer of Tissue: Dynamic Heterogeneity. Networks and Heterogeneous Media, 1, 399-439. http://dx.doi.org/10.3934/nhm.2006.1.399
[2]
Anderson, A.R.A. and Chaplain, M.A.J. (2003) Mathematical Modelling of Tissue Invasion, In: Preziosi, L., Ed., Cancer Modelling and Simulation, Chapman Hall/CRC, 269-297.
[3]
Kubo, A. and Kimura, K. (2014) Mathematical Analysis of Tumour Invasion with Proliferation Model and Simulations. WSEAS Transaction on Biology and Biomedicine, 11, 165-173.
[4]
Kubo, A. and Hoshino, H. (2015) Nonlinear Evolution Equation with Strong Dissipation and Proliferation, Current Trends in Analysis and Its Applications. Springer, Birkhauser, 233-241.
[5]
Kubo, A. and Suzuki, T. (2004) Asymptotic Behavior of the Solution to a Parabolic ODE System Modeling Tumour Growth. Differential and Integral Equations, 17, 721-736.
[6]
Kubo, A., Suzuki, T. and Hoshino, H. (2005) Asymptotic Behavior of the Solution to a Parabolic ODE System. Mathematical Sciences and Applications, 22, 121-135.
[7]
Kubo, A. and Suzuki, T. (2007) Mathematical Models of Tumour Angiogenesis. Journal of Computational and Applied Mathematics, 204, 48-55. http://dx.doi.org/10.1016/j.cam.2006.04.027
[8]
Kubo, A., Saito, N., Suzuki, T. and Hoshino, H. (2006) Mathematical Models of Tumour Angiogenesis and Simulations, Theory of Bio-Mathematics and Its Application. RIMS Kokyuroku, 1499, 135-146.
[9]
Kubo, A. (2011) Nonlinear Evolution Equations Associated with Mathematical Models, Discrete and Continuous Dynamical Systems, Supplement, 881-890.
[10]
Dionne, P. (1962) Sur les problèmes de Cauchy hyperboliques bien posés. Journal d'Analyse Mathematique, 10, 1-90. http://dx.doi.org/10.1007/BF02790303
[11]
Andasari, V., Roper, R.T., Swat, M.H. and Chaplain, M.A.J. (2011) Integrating Intracellular Dynamics Using CompuCell3D and Bionetsolver: Applications to Multiscale Modelling of Cancer Cell Growth and Invasion. PLoS ONE, 7, e33726. http://dx.doi.org/10.1371/journal.pone.0033726
[12]
Anderson, A.R.A. and Chaplain, M.A.J. (1998) Continuous and Discrete Mathematical Models of Tumour-Induced Angiogenesis. Bulletin of Mathematical Biology, 60, 857-899. http://dx.doi.org/10.1006/bulm.1998.0042
[13]
Deakin, N.E. and Chaplain, M.A.J. (2013) Mathematical Modeling of Cancer Invasion: The Role of Membrane-Bound Matrix Metalloproteinases. Frontiers in Oncology, 3, 70. http://dx.doi.org/10.3389/fonc.2013.00070
[14]
Hatami, F. and Ghaemi, M.B. (2013) Numerical Solution of Model of Cancer Invasion with Tissue. Applied Mathematics, 4, 1050-1058. http://dx.doi.org/10.4236/am.2013.47143
[15]
Kim, Y. and Othmer, H.G. (2013) A Hybrid Model of Tumor-Stromal Interactions in Breast Cancer. Bulletin of Mathematical Biology, 75, 1304-1350. http://dx.doi.org/10.1007/s11538-012-9787-0
[16]
Kolev, M. and Zubik-Kowal, B. (2011) Numerical Solutions for a Model of Tissue Invasion and Migration of Tumourcells. Computational and Mathematical Methods in Medicine, 2011, Article ID: 452320. http://dx.doi.org/10.1155/2011/452320
[17]
Mahiddin, N. and Hashim, A. (2014) Approximate Analytical Solutions for Mathematical Model of Tumourinvasion and Metastasis Using Modified Adomian Decomposition and Homotopy Perturbation Methods. Journal of Applied Mathematics, 2014, Article ID: 654978. http://dx.doi.org/10.1155/2014/654978
[18]
Märkl, C., Meral, G. and Surulescu, C. (2013) Mathematical Analysis and Numerical Simulations for a System Modeling Acid-Mediated Tumor Cell Invasion. International Journal of Analysis, 2013, Article ID: 878051.
[19]
Orlando, P.A., Gatenby, R.A. and Brown, J.S. (2013) Tumor Evolution in Space: The Effects of Competition Colonization Tradeoffs on Tumor Invasion Dynamics. Frontiers in Oncology, 3, 45. http://dx.doi.org/10.3389/fonc.2013.00045
[20]
Levine, H.A. and Sleeman, B.D. (1997) A System of Reaction and Diffusion Equations Arising in the Theory of Reinforced Random Walks. SIAM Journal on Applied Mathematics, 57, 683-730. http://dx.doi.org/10.1137/S0036139995291106
[21]
Othmer, H.G. and Stevens, A. (1997) Aggregation, Blowup, and Collapse: The ABCs of Taxis in Reinforced Random Walks. SIAM Journal on Applied Mathematics, 57, 1044-1081. http://dx.doi.org/10.1137/S0036139995288976
[22]
Chaplain, M.A.J., Lachowicz, M., Szymanska, Z. and Wrzosek, D. (2011) Mathematical Modeling of Cancer Invasion: The Importance of Cell-Cell Adhesion and Cell-Matrix Adhesion. Mathematical Models & Methods in Applied Sciences, 21, 719-743. http://dx.doi.org/10.1142/S0218202511005192
[23]
Sleeman, B.D. and Levine, H.A. (2001) Partial Differential Equations Chemotaxis and Angiogenesis. Mathematical Methods in the Applied Sciences, 24, 405-426. http://dx.doi.org/10.1002/mma.212
[24]
Yang, Y. Chen, H. and Liu, W. (1997) On Existence and Non-Existence of Global Solutions to a System of Reaction-Diffusion Equations Modeling Chemotaxis. SIAM Journal on Applied Mathematics, 33, 763-785. http://dx.doi.org/10.1137/S0036141000337796