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Large Population Limit And Time Behaviour Of A Stochastic Particle Model Describing An Age-structured Population

机译:具有年龄结构种群的随机粒子模型的大种群极限和时间行为

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We study a continuous-time discrete population structured by a vector of ages. Individuals reproduce asexually, age and die. The death rate takes interactions into account. Adapting the approach of Fournier and Meleard, we show that in a laxge population limit, the microscopic process converges to the measure-valued solution of an equation that generalizes the McKendrick-Von Foerster and Gurtin-McCamy PDEs in demography. The large deviations associated with this convergence are studied. The upper-bound is established via exponential tightness, the difficulty being that the marginals of our measure-valued processes are not of bounded masses. The local minoration is proved by linking the trajectories of the action functional's domain to the solutions of perturbations of the PDE obtained in the large population limit. The use of Girsanov theorem then leads us to regularize these perturbations. As an application, we study the logistic age-structured population. In the supercritical case, the deterministic approximation admits a non trivial stationary stable solution, whereas the stochastic microscopic process gets extinct almost surely. We establish estimates of the time during which the microscopic process stays in the neighborhood of the large population equilibrium by generalizing the works of Freidlin and Ventzell to our measure-valued setting.
机译:我们研究了由年龄向量构成的连续时间离散种群。个体无性繁殖,衰老并死亡。死亡率考虑了相互作用。适应Fournier和Meleard的方法,我们显示出在人口众多的限制下,微观过程收敛于方程式的量值解决方案,该方程式推广了人口统计学中的McKendrick-Von Foerster和Gurtin-McCamy PDE。研究了与该收敛有关的大偏差。上限是通过指数紧度确定的,困难之处在于我们度量值过程的边际不是有界质量。通过将动作功能域的轨迹与在较大人口限制下获得的PDE摄动解联系起来,证明了局部极小化。然后,使用Girsanov定理使我们对这些扰动进行正则化。作为一种应用,我们研究了逻辑年龄结构人口。在超临界情况下,确定性逼近允许一个非平凡的稳定解,而随机微观过程几乎肯定会消失。通过将Freidlin和Ventzell的工作推广到我们的测量值设置,我们建立了微观过程停留在大人口均衡附近的时间的估计。

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