Diverging and converging schemes of approximations to describe fundamental EM Gaussian beams beyond the paraxial approximation

被引:0
|
作者
Gouesbet, Gerard [1 ]
Shen, Jianqi [2 ]
Ambrosio, Leonardo A. [3 ]
机构
[1] Normandie Univ CNRS, Univ & INSA Rouen Campus Univ Madrillet, UMR 6614, CORIA UMR 6614, F-76800 St Etienne, France
[2] Univ Shanghai Sci & Technol, Coll Sci, 516, Jungong Rd, Shanghai 200093, Peoples R China
[3] Univ Sao Paulo, Sao Carlos Sch Engn, Dept Elect & Comp Engn, 400 Trabalhador Sao carlense Ave, BR-13566590 Sao Paulo, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
Gaussian beams; Davis scheme of approximations; Standard beams; Localized approximations; Light scattering; Asymptotic series; Quantum electrodynamics; LORENZ-MIE THEORY; MORPHOLOGY-DEPENDENT RESONANCES; CROSS-POLARIZED SCATTERING; INCIDENT PLANE-WAVE; ELECTROMAGNETIC-FIELD CALCULATIONS; GEOMETRICAL-OPTICS APPROXIMATION; ANGULAR SPECTRUM DECOMPOSITION; ARBITRARILY-SHAPED PARTICLES; UNIAXIAL ANISOTROPIC SPHERE; DENSITY-MATRIX APPROACH;
D O I
10.1016/j.jqsrt.2022.108344
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
EM Gaussian beams are the most celebrated and used kind of laser beams. Their description beyond paraxial regimes has a long and venerable history, culminating may be with the building of a scheme of approximations which can be named the Davis scheme of approximations whose convergence has been considered as granted. Strange as it may be, a paper by Wang and Webb demonstrated that, actually, the Davis scheme is divergent. This quite unexpected result has been dramatically overlooked. This is the motivation for the present paper which reviews diverging and converging schemes of approximations to describe fundamental EM Gaussian beams. One of the new results obtained in the present framework is that a scheme of approximations known as the improved standard scheme, introduced more than two decades ago, is diverging as well. These divergences are the result of the behavior of asymptotic series similar to the ones encountered in quantum electrodynamics. (c) 2022 Elsevier Ltd. All rights reserved.
引用
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页数:16
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