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Article . 2019
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SIAM Journal on Applied Mathematics
Article . 2019 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2019
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Article . 2019
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Dynamical Behaviors of the Tumor-Immune System in a Stochastic Environment

Dynamical behaviors of the tumor-immune system in a stochastic environment
Authors: Xiaoyue Li; Guoting Song; Yang Xia; Chenggui Yuan;

Dynamical Behaviors of the Tumor-Immune System in a Stochastic Environment

Abstract

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

Country
United Kingdom
Related Organizations
Keywords

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
bronze