数学
粒子系统
平均场理论
极限(数学)
相互作用粒子系统
大数定律
非线性系统
渗透(认知心理学)
统计物理学
缩放比例
趋同(经济学)
理论(学习稳定性)
领域(数学)
数学分析
纯数学
随机过程
物理
统计
几何学
计算机科学
凝聚态物理
随机变量
量子力学
生物
操作系统
神经科学
机器学习
连续时间随机过程
经济增长
经济
作者
Erhan Bayraktar,Suman Chakraborty,Ruoyu Wu
摘要
We consider heterogeneously interacting diffusive particle systems and their large population limit. The interaction is of mean field type with weights characterized by an underlying graphon. A law of large numbers result is established as the system size increases and the underlying graphons converge. The limit is given by a graphon mean field system consisting of independent but heterogeneous nonlinear diffusions whose probability distributions are fully coupled. Well-posedness, continuity and stability of such systems are provided. We also consider a not-so-dense analogue of the finite particle system, obtained by percolation with vanishing rates and suitable scaling of interactions. A law of large numbers result is proved for the convergence of such systems to the corresponding graphon mean field system.
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