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Influence of Coloured Correlated Noises on Probability Distribution and Mean of Tumour Cell Number in the Logistic Growth Model |
| HAN Li-Bo 1,2;GONG Xiao-Long1;CAO Li2;WU Da-Jin3 |
| 1School of Physics Science and Technology, Yangtze University, Jingzhou 4340232State Key Laboratory of Laser Technology, Huazhong University of Science and Technology, Wuhan 4300743Department of Physics, Huazhong University of Science and Technology, Wuhan 430074 |
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| Cite this article: |
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HAN Li-Bo, GONG Xiao-Long, CAO Li et al 2007 Chin. Phys. Lett. 24 632-635 |
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Abstract An approximate Fokker--Planck equation for the logistic growth model which is driven by coloured correlated noises is derived by applying the Novikov theorem and the Fox approximation. The steady-state probability distribution (SPD) and the mean of the tumour cell number are analysed. It is found that the SPD is the single extremum configuration when the degree of correlation between the multiplicative and additive noises, λ, is in -1<λ≤ 0 and can be the double extrema in 0<λ<1. A configuration transition occurs because of the variation of noise parameters. A minimum appears in the curve of the mean of the steady-state tumour cell number, <x>, versus λ. The position and the value of the minimum are controlled by the noise-correlated times.
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05.40.-a
87.10.+e
02.50.Ey
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Received: 25 September 2006
Published: 08 February 2007
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| PACS: |
05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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87.10.+e
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02.50.Ey
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(Stochastic processes)
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