157
Views
11
CrossRef citations to date
0
Altmetric
Research Articles

Efficient method for lasing eigenvalue problems of periodic structures

&
Pages 390-396 | Received 05 Sep 2013, Accepted 21 Jan 2014, Published online: 13 Feb 2014
 

Abstract

Lasing eigenvalue problems (LEPs) are non-conventional eigenvalue problems involving the frequency and gain threshold at the onset of lasing directly. Efficient numerical methods are needed to solve LEPs for the analysis, design and optimization of microcavity lasers. Existing computational methods for two-dimensional LEPs include the multipole method and the boundary integral equation method. In particular, the multipole method has been applied to LEPs of periodic structures, but it requires sophisticated mathematical techniques for evaluating slowly converging infinite sums that appear due to the periodicity. In this paper, a new method is developed for periodic LEPs based on the so-called Dirichlet-to-Neumann maps. The method is efficient since it avoids the slowly converging sums and can easily handle periodic structures with many arrays.

Notes

This research was partially supported by the National Natural Science Foundation of China [Grant No. 11026206, Tianyuan Mathematics Fund] and the Research Grants Council of Hong Kong Special Administrative Region, China [Project No. CityU 102411].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.