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Stochastic Hopf and Torus Bifurcations in Population Biology

机译:人口生物学中随机Hopf和托鲁斯分叉

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In population biological systems often bifurcation sequences via period doubling are observed, especially in simplest models of epidemiology like the susceptible-infected-recovered (SIR) model with seasonal forcing in the infection rate. But other routes to complex behaviour can as easily be found, for example in multi-strain models of SIR-type without forcing, here after a Hopf bifurcation a torus bifurcation leads into chaos. However, these models are already relatively high dimensional. One of the simplest models in population biology, now in ecology, is the Rosenzweig-MacArthur model, displaying a Hopf bifurcation and with forcing also a torus bifurcation leading to more complex behaviour subsequently. Here we investigate an only slightly extended version which again can be interpreted as a stochastic process of a population dynamical model. Such stochastic models give insight into what can be observed ultimately in empirical data of the systems under investigation.
机译:在人口生物学系统中,观察到通过时期加倍的分叉序列,特别是在最简单的流行病学模型中,如易感感染回收(SIR)模型,季节性迫使感染率。但是,在没有强迫的情况下,可以容易地发现复杂行为的其他路线可以很容易地找到,例如在没有强迫的SIR型模型中,在Hopf分叉导致混乱中的圆形分叉后。但是,这些模型已经比较高。人口生物学中最简单的模型之一,现在在生态学中,是罗斯康西格 - 麦克阿瑟模型,展示了跳跃分叉,并且迫使迫使圆环分叉导致随后更复杂的行为。在这里,我们调查唯一略微扩展的版本,该版本再次可以被解释为人口动态模型的随机过程。这种随机模型能够深入了解可以在调查的系统的经验数据中最终观察到的内容。

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