2011
DOI: 10.1063/1.3579991
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Dispersion equation and eigenvalues for quantum wells using spectral parameter power series

Abstract: We derive a dispersion equation for determining eigenvalues of inhomogeneous quantum wells in terms of spectral parameter power series and apply it for the numerical treatment of eigenvalue problems. The method is algorithmically simple and can be easily implemented using available routines of such environments for scientific computing as MATLAB.

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Cited by 29 publications
(48 citation statements)
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“…For the details of an iterative construction of a solution u 0 of the homogeneous Equation (19) and particular solutions u 1 , u 2 , and numerical methods of its calculation see [25], and also [28,29].…”
Section: Methods Of the Sppsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the details of an iterative construction of a solution u 0 of the homogeneous Equation (19) and particular solutions u 1 , u 2 , and numerical methods of its calculation see [25], and also [28,29].…”
Section: Methods Of the Sppsmentioning
confidence: 99%
“…Moreover these methods need a large amount of C PU times and memory requirements for attaining reasonable results. [22,23] We proposed here for the analytical and numerical study of the problem (1)-(3) the SPPS method (see [24][25][26][27][28][29]). Applying the SPPS method, we obtain an explicit analytical form for a dispersion equation D(ω, μ) = 0, defining the wave numbers μ j (ω), j = 1, .…”
Section: Introductionmentioning
confidence: 99%
“…For this aim we use the method of SPPS (see [26][27][28][29][30]) and [1,2] for the acoustics problems).…”
Section: Numerical Calculation Of the Modes Contributionmentioning
confidence: 99%
“…Moreover these methods need a large amount of the CPU times and the memory requirements for attaining reasonable results. [24,25] We proposed here for the analytical and numerical study of the problem (1)-(3) the SPPS method (see [26][27][28][29][30], and for the acoustic problems [1,2]). …”
Section: Introductionmentioning
confidence: 99%
“…As was shown in a number of recent publications the SPPS representation provides an efficient and accurate method for solving initial value, boundary value and spectral problems (see [7], [8], [16], [21], [23], [22], [24], [25], [31], [32], [33], [35], [47]). In this paper we demonstrate this fact in application to equation (1.1).…”
Section: Introductionmentioning
confidence: 99%