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

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

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.

Suggested Citation

  • Wang, Kang Kang & Wang, Ya Jun & Li, Sheng Hong & Wu, Jian Cheng, 2016. "Stochastic stability and state shifts for a time-delayed cancer growth system subjected to correlated multiplicative and additive noises," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 1-13.
    • Handle: RePEc:eee:chsofr:v:93:y:2016:i:c:p:1-13
    DOI: 10.1016/j.chaos.2016.09.022
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    Cited by:

    1. Song, Yi & Xu, Wei & Wei, Wei & Niu, Lizhi, 2023. "Dynamical transition of phenotypic states in breast cancer system with Lévy noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
    2. Xu, Pengfei & Jin, Yanfei, 2018. "Mean first-passage time in a delayed tristable system driven by correlated multiplicative and additive white noises," Chaos, Solitons & Fractals, Elsevier, vol. 112(C), pages 75-82.
    3. Han, Ping & Xu, Wei & Zhang, Hongxia & Wang, Liang, 2022. "Most probable trajectories in the delayed tumor growth model excited by a multiplicative non-Gaussian noise," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

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