
arXiv: 1902.00722
This paper investigates dynamic behaviors of the tumor-immune system perturbed by environmental noise. The model describes the response of the cytotoxic T lymphocyte (CTL) to the growth of an immunogenic tumour. The main methods are stochastic Lyapunov analysis, comparison theorem for stochastic differential equations (SDEs) and strong ergodicity theorem. Firstly, we prove the existence and uniqueness of the global positive solution for the tumor-immune system. Then we go a further step to study the boundaries of moments for tumor cells and effector cells and the asymptotic behavior in the boundary equilibrium points. Furthermore, we discuss the existence and uniqueness of stationary distribution and stochastic permanence of the tumor-immune system. Finally, we give several examples and numerical simulations to verify our results.
arXiv admin note: text overlap with arXiv:q-bio/0602015 by other authors
invariant measure, Probability (math.PR), Positive solutions to nonlinear boundary value problems for ordinary differential equations, Stochastic ordinary differential equations (aspects of stochastic analysis), FOS: Mathematics, ergodicity, Pathology, pathophysiology, stochastic permanence, comparison theorem, tumor-immune system, Smooth ergodic theory, invariant measures for smooth dynamical systems, Mathematics - Probability
invariant measure, Probability (math.PR), Positive solutions to nonlinear boundary value problems for ordinary differential equations, Stochastic ordinary differential equations (aspects of stochastic analysis), FOS: Mathematics, ergodicity, Pathology, pathophysiology, stochastic permanence, comparison theorem, tumor-immune system, Smooth ergodic theory, invariant measures for smooth dynamical systems, Mathematics - Probability
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