Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Phys Rev E. 2019 Jun;99(6-1):062412. doi: 10.1103/PhysRevE.99.062412.
Diffusive public goods (PG) games are difficult to analyze due to population assortment affecting growth rates of cooperators (producers) and free-riders. We study these growth rates using spectral decomposition of cellular densities and derive a finite cell-size correction of the growth rate advantage which exactly describes the dynamics of a randomly assorted population and approximates the dynamics under limited dispersal. The resulting effective benefit-to-cost ratio relates the physical parameters of PG dynamics to the persistence of cooperation, and our findings provide a powerful tool for the analysis of diffusive PG games, explaining commonly observed patterns of cooperation.
扩散公共物品 (PG) 博弈由于种群分类会影响合作者(生产者)和搭便车者的增长率,因此很难进行分析。我们使用细胞密度的谱分解来研究这些增长率,并推导出增长率优势的有限单元尺寸修正,该修正精确地描述了随机分类种群的动态,并近似于有限扩散下的动态。由此产生的有效收益-成本比将 PG 动力学的物理参数与合作的持久性联系起来,我们的研究结果为扩散 PG 博弈的分析提供了一个强大的工具,解释了常见的合作模式。