有限谐振器链中的指数局部界面特征模式

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Habib Ammari, Silvio Barandun, Bryn Davies, Erik Orvehed Hiltunen, Thea Kosche, Ping Liu
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引用次数: 0

摘要

本文研究有限多个谐振器链中的波局部化问题。有一种广泛的理论可以预测无限周期系统中由缺陷诱发的局部模式的存在。本文将这些原理扩展到有限大小的系统。我们考虑的是由亚波长谐振器组成的一维有限系统,这些谐振器排列在结构有几何缺陷的二聚体中。这是 Su-Schrieffer-Heeger 模型的经典波类似物。我们证明了无缺陷有限二聚体结构存在频谱间隙,并发现频谱间隙内的特征值与其相关特征模式的定位之间存在直接关系。然后,对于足够大尺寸的系统,我们证明了缺陷结构中间隙内特征值的存在性和唯一性,证明了唯一的局部界面模式的存在。据我们所知,我们的方法基于切比雪夫多项式,是第一个定量描述有限多个谐振器系统中局部界面模式的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exponentially localized interface eigenmodes in finite chains of resonators

This paper studies wave localization in chains of finitely many resonators. There is an extensive theory predicting the existence of localized modes induced by defects in infinitely periodic systems. This work extends these principles to finite-sized systems. We consider one-dimensional, finite systems of subwavelength resonators arranged in dimers that have a geometric defect in the structure. This is a classical wave analog of the Su–Schrieffer–Heeger model. We prove the existence of a spectral gap for defectless finite dimer structures and find a direct relationship between eigenvalues being within the spectral gap and the localization of their associated eigenmode. Then, for sufficiently large-size systems, we show the existence and uniqueness of an eigenvalue in the gap in the defect structure, proving the existence of a unique localized interface mode. To the best of our knowledge, our method, based on Chebyshev polynomials, is the first to characterize quantitatively the localized interface modes in systems of finitely many resonators.

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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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