DocumentCode
22754
Title
Efficient and Accurate Approximation of Infinite Series Summation Using Asymptotic Approximation and Super Convergent Series
Author
Jain, Sonal ; Jiming Song
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume
49
Issue
2
fYear
2013
fDate
Feb. 2013
Firstpage
803
Lastpage
806
Abstract
We present an approach for very quick and accurate approximation of infinite series summation arising in electromagnetic problems. This approach is based on using asymptotic expansions of the arguments and the use of super convergent series to accelerate the convergence of each term. It has been validated by obtaining very accurate solution for propagation constant for shielded microstrip lines using spectral domain approach (SDA). In the spectral domain analysis of shielded microstrip lines, the elements of the Galerkin matrix are summations of infinite series of product of Bessel functions and Green´s function. The infinite summation is accelerated by leading term extraction using asymptotic expansions for the Bessel function and the Green´s function and the summation of the leading terms is carried out using the super convergent series.
Keywords
Bessel functions; Galerkin method; Green´s function methods; approximation theory; convergence of numerical methods; electromagnetic fields; microstrip lines; series (mathematics); Bessel functions; Galerkin matrix elements; Green´s function; asymptotic approximation; asymptotic expansions; convergence; electromagnetic problems; infinite series summation approximation; propagation constant; shielded microstrip lines; spectral domain analysis; spectral domain approach; superconvergent series; Acceleration; Approximation methods; Convergence; Green´s function methods; Microstrip; Moment methods; Spectral analysis; Asymptotic approximation; Green´s function; infinite series summation; shielded microstrip; spectral domain approach; super convergent series;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2010.2090863
Filename
6416986
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