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相关论文: On new surface-localized transmission eigenmodes

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Consider the transmission eigenvalue problem for $u \in H^1(\Omega)$ and $v\in H^1(\Omega)$ associated with $(\Omega; \sigma, \mathbf{n}^2)$, where $\Omega$ is a ball in $\mathbb{R}^N$, $N=2,3$. If $\sigma$ and $\mathbf{n}$ are both…

偏微分方程分析 · 数学 2022-02-08 Yan Jiang , Hongyu Liu , Jiachuan Zhang , Kai Zhang

We present the discovery of a novel and intriguing global geometric structure of the (interior) transmission eigenfunctions associated with the Helmholtz system. It is shown in generic scenarios that there always exists a sequence of…

偏微分方程分析 · 数学 2020-12-16 Yat Tin Chow , Youjun Deng , Youzi He , Hongyu Liu , Xianchao Wang

The transmission eigenvalue problem is a type of non-elliptic and non-selfadjoint spectral problem that arises in the wave scattering theory when invisibility/transparency occurs. The transmission eigenfunctions are the interior resonant…

偏微分方程分析 · 数学 2023-04-24 Yat Tin Chow , Youjun Deng , Hongyu Liu , Mahesh Sunkula

Let $\Omega$ be a bounded domain in $\mathbb{R}^n$, $n\geq 2$, and $V\in L^\infty(\Omega)$ be a potential function. Consider the following transmission eigenvalue problem for nontrivial $v, w\in L^2(\Omega)$ and $k\in\mathbb{R}_+$,…

偏微分方程分析 · 数学 2017-10-25 Eemeli Blåsten , Hongyu Liu

The (interior) transmission eigenvalue problems are a type of non-elliptic, non-selfadjoint and nonlinear spectral problems that arise in the theory of wave scattering. They connect to the direct and inverse scattering problems in many…

偏微分方程分析 · 数学 2020-12-07 Hongyu Liu

In this paper, we consider the transmission eigenvalue problem associated with a general conductive transmission condition and study the geometric structures of the transmission eigenfunctions. We prove that under a mild regularity…

偏微分方程分析 · 数学 2020-12-01 Youjun Deng , Chaohua Duan , Hongyu Liu

Transport of subwavelength electromagnetic (EM) energy has been achieved through near-field coupling of highly confined surface EM modes supported by plasmonic nanoparticles, in a configuration usually staying on a two-dimensional (2D)…

光学 · 物理学 2016-05-24 Fei Gao , Zhen Gao , Youming Zhang , Xihang Shi , Zhaoju Yang , Baile Zhang

In this paper, we develop a mathematical framework for generating strong customized field concentration locally around the inhomogeneous medium inclusion via surface transmission resonance. The purpose of this paper is twofold. Firstly, we…

数值分析 · 数学 2024-09-24 Yueguang Hu , Hongyu Liu , Xianchao Wang , Deyue Zhang

We investigate the localization and vanishing of $L^2$ interior transmission eigenfunctions at corners. Past numerical computations suggest that these eigenfunctions localize at non-convex corners. This phenomenon has, however, not been…

偏微分方程分析 · 数学 2025-12-03 Emilia L. K. Blåsten , Valter Pohjola

Transmission eigenchannels are building blocks of coherent wave transport in diffusive media, and selective excitation of individual eigenchannels can lead to diverse transport behavior. An essential yet poorly understood property is the…

光学 · 物理学 2019-08-06 Hasan Yılmaz , Chia Wei Hsu , Alexey Yamilov , Hui Cao

This paper is concerned with the intrinsic geometric structures of conductive transmission eigenfunctions. The geometric properties of interior transmission eigenfunctions were first studied in [9]. It is shown in two scenarios that the…

偏微分方程分析 · 数学 2020-06-18 Huaian Diao , Xinlin Cao , Hongyu Liu

Electromagnetic metasurfaces enable the advanced control of surface-wave propagation by spatially tailoring the local surface reactance. Interestingly, tailoring the surface resistance distribution in space provides new, largely unexplored…

The present paper deals with the wave propagation in a particular two dimensional structure, obtained from a localized perturbation of a reference periodic medium. This reference medium is a ladder like domain, namely a thin periodic…

偏微分方程分析 · 数学 2017-09-20 Bérangère Delourme , Sonia Fliss , Patrick Joly , Elizaveta Vasilevskaya

We present a comprehensive study of new discoveries on the spectral patterns of elastic transmission eigenfunctions, including boundary localisation, surface resonance, and stress concentration. In the case where the domain is radial and…

偏微分方程分析 · 数学 2022-12-01 Yan Jiang , Hongyu Liu , Jiachuan Zhang , Kai Zhang

In this paper, we investigate a transmission eigenvalue problem that couples the principles of acoustics and elasticity. This problem naturally arises when studying fluid-solid interactions and constructing bubbly-elastic structures to…

偏微分方程分析 · 数学 2024-10-16 Huaian Diao , Hongyu Liu , Qingle Meng , Li Wang

We consider the quasi-static problem governing the localized surface plasmon modes and permittivity eigenvalues $\epsilon$ of smooth, arbitrarily shaped, axisymmetric inclusions. We develop an asymptotic theory for the dense part of the…

光学 · 物理学 2018-10-17 Ory Schnitzer

The purpose of the paper is twofold. First, we show that partial-data transmission eigenfunctions associated with a conductive boundary condition vanish locally around a polyhedral or conic corner in $\mathbb{R}^n$, $n=2,3$. Second, we…

偏微分方程分析 · 数学 2025-04-23 Huaian Diao , Xiaoxu Fei , Hongyu Liu

Transmission eigenfunctions are certain interior resonant modes that are of central importance to the wave scattering theory. In this paper, we present the discovery of novel global rigidity properties of the transmission eigenfunctions…

光学 · 物理学 2021-04-15 Youjun Deng , Hongyu Liu , Xianchao Wang , Wei Wu

The impact of surface reflection on the statistics of transmission eigenvalues is a largely unexplored subject of fundamental and practical importance in statistical optics. Here, we develop a first-principles theory and confirm numerically…

无序系统与神经网络 · 物理学 2014-05-20 Xiaojun Cheng , Chushun Tian , Azriel Z. Genack

This paper is concerned with the intrinsic geometric structure of interior transmission eigenfunctions arising in wave scattering theory. We numerically show that the aforementioned geometric structure can be much delicate and intriguing.…

数值分析 · 数学 2017-10-04 Eemeli Blåsten , Xiaofei Li , Hongyu Liu , Yuliang Wang
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