Centre for Mathematical Biology, Department of Mathematical Sciences, University of Bath, Bath, BA2 7AY, United Kingdom.
Phys Rev E. 2023 Jan;107(1-1):014128. doi: 10.1103/PhysRevE.107.014128.
In this paper, we investigate a generalized model of N particles undergoing second-order nonlocal interactions on a lattice. Our results have applications across many research areas, including the modeling of migration, information dynamics, and Muller's ratchet-the irreversible accumulation of deleterious mutations in an evolving population. Strikingly, numerical simulations of the model are observed to deviate significantly from its mean-field approximation even for large population sizes. We show that the disagreement between deterministic and stochastic solutions stems from finite-size effects that change the propagation speed and cause the position of the wave to fluctuate. These effects are shown to decay anomalously as (lnN)^{-2} and (lnN)^{-3}, respectively-much slower than the usual N^{-1/2} factor. Our results suggest that the accumulation of deleterious mutations in a Muller's ratchet and the loss of awareness in a population may occur much faster than predicted by the corresponding deterministic models. The general applicability of our model suggests that this unexpected scaling could be important in a wide range of real-world applications.
在本文中,我们研究了一个在格点上进行二阶非局部相互作用的 N 粒子广义模型。我们的研究结果在多个研究领域具有应用价值,包括迁移模型、信息动力学和 Muller 棘轮(进化种群中有害突变的不可逆转积累)。引人注目的是,即使在大种群规模下,模型的数值模拟也明显偏离其平均场近似。我们表明,确定性和随机解之间的分歧源于有限尺寸效应,这些效应改变了波的传播速度并导致波的位置波动。结果表明,这些效应分别以(lnN)^{-2}和(lnN)^{-3}的速度异常衰减——比通常的 N^{-1/2}因子慢得多。我们的研究结果表明,Muller 棘轮中有害突变的积累和种群中意识的丧失可能比相应的确定性模型预测的要快得多。我们模型的通用性表明,这种意外的标度可能在广泛的现实世界应用中很重要。