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鸟群的动态空间结构。

The Dynamic Spatial Structure of Flocks.

作者信息

Russell Nicholas J, Pilkiewicz Kevin R, Mayo Michael L

机构信息

Department of Mathematical Sciences, University of Delaware, Newark, DE 19716, USA.

U.S. Army Engineer Research and Development Center, Vicksburg, MS 39180, USA.

出版信息

Entropy (Basel). 2024 Mar 7;26(3):234. doi: 10.3390/e26030234.

DOI:10.3390/e26030234
PMID:38539746
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10968731/
Abstract

Studies of collective motion have heretofore been dominated by a thermodynamic perspective in which the emergent "flocked" phases are analyzed in terms of their time-averaged orientational and spatial properties. Studies that attempt to scrutinize the dynamical processes that spontaneously drive the formation of these flocks from initially random configurations are far more rare, perhaps owing to the fact that said processes occur far from the eventual long-time steady state of the system and thus lie outside the scope of traditional statistical mechanics. For systems whose dynamics are simulated numerically, the nonstationary distribution of system configurations can be sampled at different time points, and the time evolution of the average structural properties of the system can be quantified. In this paper, we employ this strategy to characterize the spatial dynamics of the standard Vicsek flocking model using two correlation functions common to condensed matter physics. We demonstrate, for modest system sizes with 800 to 2000 agents, that the self-assembly dynamics can be characterized by three distinct and disparate time scales that we associate with the corresponding physical processes of clustering (compaction), relaxing (expansion), and mixing (rearrangement). We further show that the behavior of these correlation functions can be used to reliably distinguish between phenomenologically similar models with different underlying interactions and, in some cases, even provide a direct measurement of key model parameters.

摘要

迄今为止,集体运动的研究主要受热力学观点的主导,在这种观点中,涌现出的“群聚”相是根据它们的时间平均取向和空间特性来分析的。试图仔细研究从初始随机构型自发驱动这些群聚形成的动力学过程的研究要稀少得多,这可能是因为上述过程发生在远离系统最终的长时间稳态的情况下,因此超出了传统统计力学的范围。对于通过数值模拟其动力学的系统,可以在不同时间点对系统构型的非平稳分布进行采样,并量化系统平均结构特性的时间演化。在本文中,我们采用这种策略,使用凝聚态物理中常见的两个关联函数来表征标准Vicsek群聚模型的空间动力学。对于具有800到2000个主体的适度系统规模,我们证明自组装动力学可以由三个不同且不同的时间尺度来表征,我们将其与聚类(压实)、松弛(膨胀)和混合(重排)的相应物理过程相关联。我们进一步表明,这些关联函数的行为可用于可靠地区分具有不同潜在相互作用的现象学上相似的模型,并且在某些情况下,甚至可以直接测量关键模型参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a4168888d3e/entropy-26-00234-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a087e2c3fdf/entropy-26-00234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/5fb23b50c736/entropy-26-00234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/8be09cc67ecf/entropy-26-00234-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/bbae715f7bc7/entropy-26-00234-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/82341eb03c52/entropy-26-00234-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a167f3b8420/entropy-26-00234-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a4168888d3e/entropy-26-00234-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a087e2c3fdf/entropy-26-00234-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/5fb23b50c736/entropy-26-00234-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/8be09cc67ecf/entropy-26-00234-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/bbae715f7bc7/entropy-26-00234-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/82341eb03c52/entropy-26-00234-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a167f3b8420/entropy-26-00234-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17eb/10968731/0a4168888d3e/entropy-26-00234-g007.jpg

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本文引用的文献

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Treadmilling and dynamic protrusions in fire ant rafts.火蚁筏中的履带式和动态突起。
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