arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2507.11348cond-mat.stat-mechcond-mat.dis-nnnlin.AOphysics.soc-ph
收藏

尺度不变网络中的几何临界性

Geometric Criticality in Scale-Invariant Networks

University of Rome Tor Vergata(罗马托尔维加塔大学);INFN(意大利国家核物理研究所);Enrico Fermi Research Center (CREF)(恩里科·费米研究中心);Instituto Carlos I de Física Teórica y Computacional, Universidad de Granada(格拉纳达大学卡洛斯一世理论与计算物理研究所)

Lorenzo Lucarini, Giulio Cimini, Pablo Villegas

AI总结:

研究尺度不变网络中结构扰动对维度的影响,揭示几何临界性导致非平凡分形维度和隐藏的LRG流,为非平衡行为分析提供新视角。

摘要:

物理系统中的维度决定了临界性下的普遍性质。然而,结构扰动对维度性的影响仍不清楚。本文从重整化群视角出发,刻画了尺度不变网络中结构固定点吸引盆地,证明盆地稳定性与结构相变有关。这种依赖拓扑的效应,我们称为几何临界性,引发此前未知的几何破裂,产生非平凡分形维度,并揭示指向不稳定结构固定点的隐藏LRG流。对网络和晶格在无序下的响应系统研究,为未来分析由淬火无序诱导的非平衡行为铺平道路。

英文摘要:

Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we characterize the attraction basins of structural fixed points in scale-invariant networks from a renormalization group perspective, demonstrating that basin stability connects to a structural phase transition. This topology-dependent effect, which we term geometric criticality, triggers a geometric breakdown hitherto unknown, which induces non-trivial fractal dimensions and unveils hidden LRG flows toward unstable structural fixed points. Our systematic study of how networks and lattices respond to disorder paves the way for future analysis of non-ergodic behavior induced by quenched disorder.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑