Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-03-01
Physics
Condensed Matter
Disordered Systems and Neural Networks
Sent to PRL. 3 figures
Scientific paper
10.1103/PhysRevE.65.025601
We demonstrate that a knowledge of the density-of-states and the eigenstates of a random system without gain, in conjunction with the frequency profile of the gain, can accurately predict the mode that will lase first. Its critical pumping rate can be also obtained. It is found that the shape of the wavefunction of the random system remains unchanged as gain is introduced. These results were obtained by the time-independent transfer matrix method and finite-difference-time-domain (FDTD) methods. They can be also analytically understood by generalizing the semi-classical Lamb theory of lasing in random systems. These findings provide a new path for observing the localization of light, such as looking for mobility edge and studying the localized states. %inside the random systems..
Jiang Xunya
Soukoulis Costas M.
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