Stochastic stability and state shifts for a time-delayed cancer growth system subjected to correlated multiplicative and additive noises

Kang Kang Wang, Ya Jun Wang, Sheng Hong Li and Jian Cheng Wu

Chaos, Solitons & Fractals, 2016, vol. 93, issue C, 1-13

Abstract: In the present paper, we investigate the stationary probability distribution(SPD) and the mean treatment time of a time-delayed cancer growth system induced by cross-correlated intrinsic and extrinsic noises. Our main results show that the resonant-like phenomenon of the mean first-passage time (MFPT) appears in the tumor cell growth model due to the interaction of all kinds of noises and time delay. Due to the existence of the resonant-like peak value, by increasing the intensity of multiplicative noise and time delay, it is possible to restrain effectively the development of the cancer cells and enhance the stability of the system. During the process of controlling the diffusion of the tumor cells, it contributes to inhibiting the development of cancer by increasing the cross-correlated noise strength and weakening the additive noise intensity and time delay. Meanwhile, the proper multiplicative noise intensity is conducive to the process of inhibition. Conversely, in the process of exterminating cancer cells of a large density, it can exert positive effects on eliminating the tumor cells by increasing noises intensities and the value of time delay.

Keywords: Multiplicative noise; Addictive noise; Time delay; Cancer growth model; Mean treatment time; System stability (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:93:y:2016:i:c:p:1-13

DOI: 10.1016/j.chaos.2016.09.022

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