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- Title
Colored Noise Enhanced Stability in a Tumor Cell Growth System Under Immune Response.
- Authors
Chunhua Zeng; Hua Wang
- Abstract
In this paper, we investigate a mathematical model for describing the growth of tumor cell under immune response, which is driven by cross-correlation between multiplicative and additive colored noises as well as the nonzero cross-correlation in between. The expression of the mean first-passage time (MFPT) is obtained by virtue of the steepest-descent approximation. It is found: (i) When the noises are negatively cross-correlated ( λ<0), then the escape is faster than in the case with no correlation ( λ=0); when the noises are positively cross-correlated ( λ>0), then the escape is slower than in the case with no correlation. Moreover, in the case of positive cross-correlation, the escape time has a maximum for a certain intensity of one of the noises, i.e., the maximum for MFPT identifies the noise enhanced stability of the cancer state. (ii) The effect of the cross-correlation time τ on the MFPT is completely opposite for λ>0 and λ<0. (iii) The self-correlation times τ and τ of colored noises can enhance stability of the cancer state, while the immune rate β can reduce it.
- Subjects
CANCER cell growth; GROWTH factors; IMMUNE response; LANGEVIN equations; STATISTICAL correlation; MATHEMATICAL models
- Publication
Journal of Statistical Physics, 2010, Vol 141, Issue 5, p889
- ISSN
0022-4715
- Publication type
Article
- DOI
10.1007/s10955-010-0068-8