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复杂网络上Kuramoto模型的受挫同步

Frustrated Synchronization of the Kuramoto Model on Complex Networks.

作者信息

Ódor Géza, Deng Shengfeng, Kelling Jeffrey

机构信息

Institute of Technical Physics and Materials Science, HUN-REN Centre for Energy Research, P.O. Box 49, H-1525 Budapest, Hungary.

School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.

出版信息

Entropy (Basel). 2024 Dec 9;26(12):1074. doi: 10.3390/e26121074.

DOI:10.3390/e26121074
PMID:39766703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11675184/
Abstract

We present a synchronization transition study of the locally coupled Kuramoto model on extremely large graphs. We compare regular 405 and 1004 lattice results with those of 12,0002 lattice substrates with power-law decaying long links (ll). The latter heterogeneous network exhibits ds>4 spectral dimensions. We show strong corrections to scaling and mean-field type of criticality at d=5, with logarithmic corrections at d=4 Euclidean dimensions. Contrarily, the ll model exhibits a non-mean-field smeared transition, with oscillating corrections at similarly high spectral dimensions. This suggests that the network heterogeneity is relevant, causing frustrated synchronization akin to Griffiths effects.

摘要

我们展示了在极大图上局部耦合Kuramoto模型的同步转变研究。我们将规则的405和1004晶格结果与具有幂律衰减长链接(ll)的12,0002晶格基底的结果进行比较。后一种异质网络表现出大于4的谱维度。我们表明在d = 5时对标度和平均场类型的临界性有强烈修正,在d = 4欧几里得维度时有对数修正。相反,ll模型表现出非平均场的模糊转变,在类似的高谱维度时有振荡修正。这表明网络异质性是相关的,导致类似于格里菲斯效应的受挫同步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/2fa22c91e69b/entropy-26-01074-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/910a7ae7e8b5/entropy-26-01074-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/7512e160e8f6/entropy-26-01074-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/9914609bb17c/entropy-26-01074-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/97c068bd7af8/entropy-26-01074-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/e3584ceba8ea/entropy-26-01074-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/2fa22c91e69b/entropy-26-01074-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/910a7ae7e8b5/entropy-26-01074-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/7512e160e8f6/entropy-26-01074-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/9914609bb17c/entropy-26-01074-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/97c068bd7af8/entropy-26-01074-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/e3584ceba8ea/entropy-26-01074-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb67/11675184/2fa22c91e69b/entropy-26-01074-g006.jpg

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本文引用的文献

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Chaos. 2024 Mar 1;34(3). doi: 10.1063/5.0154581.
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