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Asymptotic behaviors of stochastic epidemic models with jump-diffusion

机译:随机流行模型与跳跃扩散的渐近行为

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In this paper, we classify the asymptotic behavior for a class of stochastic SIR epidemic models represented by stochastic differential systems where the Brownian motions and Levy jumps perturb to the linear terms of each equation. We construct a threshold value between permanence and extinction and develop the ergodicity of the underlying system. It is shown that the transition probabilities converge in total variation norm to the invariant measure. Our results can be considered as a significant contribution in studying the long term behavior of stochastic differential models because there are no restrictions imposed to the parameters of models. Techniques used in proving results of this paper are new and suitable to deal with other stochastic models in biology where the noises may perturb to nonlinear terms of equations or with delay equations.
机译:在本文中,我们对一类随机差动系统表示的一类随机SIR流行模式的渐近行为分类,其中布朗运动和征收跳跃扰动每个方程的线性术语。我们在持久性和灭绝之间构建一个阈值,并发展底层系统的遍历。结果表明,过渡概率会聚到不变度量的总变化标准。我们的结果可以被视为研究随机微分模型的长期行为的重要贡献,因为对模型的参数没有限制。在证明本文的结果中使用的技术是新的,适合处理生物学中的其他随机模型,其中噪音可能会扰乱非线性方程项或延迟方程。

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