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arXiv 0810.1370cond-mat.stat-mech
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Levy白噪声激励下的Verhulst模型

Verhulst model with Levy white noise excitation

A. A. Dubkov, B. Spagnolo

摘要:

研究了任意非高斯白噪声扰动下Verhulst模型的瞬态动力学。基于Levy过程的无穷可分分布,研究了三种非高斯白噪声情况下粒子数密度的非线性松弛:(i)散粒噪声,(ii)增量概率密度用Gamma函数表示的噪声,(iii)Cauchy稳定噪声.我们得到了所有情况下粒子数密度概率分布的精确结果,并导出了柯西稳定噪声的非线性弛豫时间的精确表达式。此外,从一个初始的δ函数分布,我们发现一个过渡诱导的乘性Levy噪声,从一个三峰概率分布的双峰概率分布的渐近。最后,我们发现了非线性弛豫时间作为柯西稳定噪声强度的函数的非单调行为。

英文摘要:

The transient dynamics of the Verhulst model perturbed by arbitrary non-Gaussian white noise is investigated. Based on the infinitely divisible distribution of the Levy process we study the nonlinear relaxation of the population density for three cases of white non-Gaussian noise: (i) shot noise, (ii) noise with a probability density of increments expressed in terms of Gamma function, and (iii) Cauchy stable noise. We obtain exact results for the probability distribution of the population density in all cases, and for Cauchy stable noise the exact expression of the nonlinear relaxation time is derived. Moreover starting from an initial delta function distribution, we find a transition induced by the multiplicative Levy noise, from a trimodal probability distribution to a bimodal probability distribution in asymptotics. Finally we find a nonmonotonic behavior of the nonlinear relaxation time as a function of the Cauchy stable noise intensity.

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