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arXiv 2207.03323math.PR
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具有Moran型相互作用的二元分支过程

Binary branching processes with Moran type interactions

Alexander M. G. Cox, Emma Horton, Denis Villemonais

AI总结:

本文提出一种带Moran型相互作用的二元分支粒子新模型,推导其占测度与Feynman-Kac半群的关联及L2距离,证明其近似生灭过程优于现有固定规模模型,并给出多领域应用。

摘要:

本文旨在研究具有Moran型相互作用的二元分支粒子系统的大群体极限:我们提出了一种新模型,其中粒子独立演化、繁殖和死亡,且一个粒子的死亡可能以依赖于整个系统构型的概率触发另一个粒子的繁殖,而一次分支事件可能触发另一个粒子的死亡。我们研究了该新模型的占测度,明确将其与底层马尔可夫演化的Feynman-Kac半群相关联,并量化了二者归一化形式之间的L2距离。该模型拓展了文献[18,19,6,7,57]中讨论的固定规模Moran型相互作用粒子系统,且我们确实证明,在用于近似生灭过程时,我们的模型表现优于后者。我们还讨论了该模型的若干其他应用,包括中子输运方程[36,15]和种群规模动力学。

英文摘要:

The aim of this paper is to study the large population limit of a binary branching particle system with Moran type interactions: we introduce a new model where particles evolve, reproduce and die independently and, with a probability that may depend on the configuration of the whole system, the death of a particle may trigger the reproduction of another particle, while a branching event may trigger the death of an other one. We study the occupation measure of the new model, explicitly relating it to the Feynman-Kac semigroup of the underlying Markov evolution and quantifying the L2 distance between their normalisations. This model extends the fixed size Moran type interacting particle system discussed in [18, 19, 6, 7, 57] and we will indeed show that our model outperforms the latter when used to approximate a birth and death process. We discuss several other applications of our model including the neutron transport equation [36, 15] and population size dynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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