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arXiv 2602.22341cond-mat.dis-nn
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探测拓扑和几何 disorder 对网络上微分拉普拉斯算子谱的影响

Probing the influence of topological and geometric disorder on the spectrum of the differential Laplacian operator on networks

University of North Carolina at Chapel Hill(北卡罗来纳大学教堂山分校)

Charles Emmett Maher, Jeremy L. Marzuola, Katherine A. Newhall

AI总结:

本文研究了拓扑和几何 disorder 对网络上微分拉普拉斯算子谱的影响,通过生成紧凑度量网络结构并分析其特征值谱,发现谱间隙宽度随边长分布和三角形面数变化而变化,为超材料设计提供了理论支持。

摘要:

度量网络是具有特定几何结构的一维网络结构,可以在其上求解微分方程以模拟包括共轭分子、光子晶体、波导网络中的量子力学以及声学超材料在内的广泛物理系统。更具体地说,度量网络是一种网络,其边被赋予长度的概念和描述位置的坐标。然后可以在这些对象上定义函数空间和微分算子以建模上述系统。最近的软件进展使得分析大型、紧凑度量网络上的偏微分方程成为可能,这些网络具有大量结构。在此,我们利用二维超均匀点图案的空间铺砌生成紧凑度量网络结构,这些图案相对于典型无序点图案具有抑制大尺度密度波动的特性。这种结构的选择受到其他背景下具有这些结构的网络材料的特殊物理性质的启发。然后,我们表征了这些网络上微分拉普拉斯算子的特征值谱结构。特别是,我们发现这些网络的特征值谱中可以形成间隙,当边长分布较窄且三角形面数增加时,这些间隙的宽度会增加。重要的是,我们考虑的许多结构在欧几里得空间中是可实现的,这意味着它们非常适合在例如超材料设计中的实际应用。因此,这项工作可以用来指导设计具有可调宽度和位置的度量网络基系统中的谱间隙。

英文摘要:

Metric networks are network-shaped, one-dimensional structures on which one can solve differential equations to simulate a wide range of physical systems including conjugated molecules, photonic crystals, quantum mechanics in waveguide networks, and acoustic metamaterials. More concretely, a metric network is a network whose edges are each assigned a notion of length and a coordinate describing position. One can then define function spaces and differential operators on these objects to model the aforementioned systems. Recent software advancements have made it feasible to analyze partial differential equations on large, compact metric networks with a vast array of structures. Here, we generate compact metric network structures using the spatial tessellations of two-dimensional hyperuniform point patterns, which have suppressed large-scale density fluctuations relative to typical disordered point patterns. This choice of structure is inspired by the exotic physical properties of network materials with these structures in other contexts. Then, we characterize the eigenvalue spectrum structure of the differential Laplace operator on these networks. In particular, we find that gaps can form in the eigenvalue spectra of these networks whose widths increase when the distribution of edge lengths is narrow and as the number of triangular faces increases. Importantly, many of the structures we consider are realizable in Euclidean space, meaning they are well-suited for practical applications in, e.g., metamaterial design. This work can thus be used to inform the design of metric network-based systems with spectral gaps with tunable widths and locations.

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。

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