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A combined model of aggregation, fragmentation, and exchange processes: insights from analytical calculations

2021/04/07 by Dominic T Robson, Andreas CW Baas, Andreas C W Baas +1 · 9 citations
Economics, Econometrics and Finance · Mathematics · Physics and Astronomy · #Complex Systems and Time Series Analysis #Complex system #Dynamics (music) #Fragmentation (computing) #Generality #Opinion Dynamics and Social Influence #Population #Theoretical and Computational Physics #Work (physics) #physics.geo-ph #physics.soc-ph #stat.AP

paper · pdf · doi:10.1088/1742-5468/abfa1d

published in Journal of Statistical Mechanics Theory and Experiment 2021(5), 053203 (Institute of Physics) · 19 pages, 5 figures. To be published in Journal of Statistical Mechanics: Theory and Experiment (JSTAT)

arxiv created 2021/04/07 · openalex created_date 2021/04/26 · openalex publication_date 2021/05/01 · arxiv updated 2021/06/14 · openalex updated_date 2026/08/05

Abstract

Abstract We introduce a mean-field framework for the study of systems of interacting particles sharing a conserved quantity. The work generalises and unites the existing fields of asset-exchange models, often applied to socio-economic systems, and aggregation-fragmentation models, typically used in modelling the dynamics of clusters. An initial model includes only two-body collisions, which is then extended to include many-body collisions and spontaneous fragmentation. We derive self-consistency equations for the steady-state distribution, which can be solved using a population dynamics algorithm, as well as a full solution for the time evolution of the moments, corroborated with numerical simulations. The generality of the model makes it applicable to many problems and allows for the study of systems exhibiting more complex interactions that those typically considered. The work is relevant to the modelling of barchan dune fields in which interactions between the bedforms and spontaneous fragmentation due to changes in the wind are thought to lead to size-selection. Our work could also be applied in finding wealth distributions when agents can both combine assets as well as split into multiple subsidiaries.

Citations