MATHEMATICAL AND NUMERICAL ANALYSIS OF THE GENERALIZED COMPLEX-FREQUENCY EIGENVALUE PROBLEM FOR TWO-DIMENSIONAL OPTICAL MICROCAVITIES

被引:9
|
作者
Spiridonov, Alexander O. [1 ]
Oktyabrskaya, Alina [2 ]
Karchevskii, Evgenii M. [3 ]
Nosich, Alexander, I [4 ]
机构
[1] Kazan Fed Univ, Lab Computat Technol & Comp Modeling, Kazan 420008, Russia
[2] Kazan Fed Univ, Inst Computat Math & Informat Technol, Kazan 420008, Russia
[3] Kazan Fed Univ, Dept Appl Math, Kazan 420008, Russia
[4] Inst Radiophys & Elect NASU, Lab Micro & Nano Opt, UA-61085 Kharkiv, Ukraine
关键词
microcavity laser; nonlinear eigenvalue problem; Muller boundary integral equations; Nystrom method; BOUNDARY INTEGRAL-EQUATIONS; RESIDUAL INVERSE ITERATION; MODES; APPROXIMATION; CONVERGENCE; THRESHOLDS; MICRODISK; GAIN;
D O I
10.1137/19M1261882
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The current paper proposes a parametric eigenvalue problem for the Helmholtz equation on the plane based on two well-known physical models of emission from two-dimensional (2-D) microcavity lasers. The first model has been developed for passive, either lossy or lossless, open cavities and is usually referred to as the Complex-Frequency Eigenvalue Problem. The second model, named the Lasing Eigenvalue Problem (LEP), has been tailored to characterize emission from open cavities, filled in with gain material, on the threshold of nonattenuating in time radiation. Our generalized model contains both of them as special cases. We reduce the original problem to a nonlinear eigenvalue problem for a set of boundary integral equations with weakly singular kernels and formulate it as a parametric eigenvalue problem for a holomorphic Fredholm operator-valued function, which is convenient for mathematical and numerical analysis. Using this formulation and fundamental results of the theory of holomorphic operator-valued functions, we study the properties of the spectrum. For numerical solution of the problem, we propose a Nystrom method, prove its convergence, and derive error estimates in the eigenvalue approximation. Combining this discretization with the residual inverse iteration technique, we compute approximate solutions of LEP and compare them with the exact ones and with the results obtained using other numerical methods.
引用
收藏
页码:1977 / 1998
页数:22
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