Functional-Discrete Method with a High Order of Accuracy for the Eigenvalue Transmission Problem

Verfasser / Beitragende:
Makarov, V.L.; Rossokhata, N.O.; Bandurskii, B.I.
Ort, Verlag, Jahr:
2004
Enthalten in:
Computational Methods in Applied Mathematics, 4/3(2004), 324-349
Format:
Artikel (online)
ID: 378936417
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024 7 0 |a 10.2478/cmam-2004-0018  |2 doi 
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245 0 0 |a Functional-Discrete Method with a High Order of Accuracy for the Eigenvalue Transmission Problem  |h [Elektronische Daten] 
520 3 |a We develop a functional-discrete method with a high order of accuracy to find a numerical solution of an eigenvalue transmission problem. It allows to approximate the trial eigenvalue with any desired accuracy. This approach has no restriction on the number of eigenvalues, an approximation to which can be found. The convergence rate is proved as in the case of the geometric series. It is shown that depending on the data of the original problem, two kinds of eigenvalue sequences may exist. For the first one, the convergence rate increases as the ordinal number of the trial eigenvalue increases. For the second one, the convergence rate is the same for all eigenvalues and does not depend on the ordinal number of the trial eigenvalue. Based on the asymptotic behavior of the eigenvalues of the basic problem and the functional-discrete method, a qualitative result on the arrangement of eigenvalues of the original problem is established. A number of numerical examples are given to support the theory. 
540 |a This article is distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 
690 7 |a eigenvalue transmission problem  |2 nationallicence 
690 7 |a functional-discrete method  |2 nationallicence 
690 7 |a basic problem  |2 nationallicence 
690 7 |a convergence rate like geometric series  |2 nationallicence 
690 7 |a Bessel functions  |2 nationallicence 
700 1 |a Makarov  |D V.L.  |u Institute of Mathematics, National Academy of Sciences of Ukraine, Tereschenkivska str. 3, 01601 Kyiv, Ukraine. 
700 1 |a Rossokhata  |D N.O.  |u Institute of Mathematics, National Academy of Sciences of Ukraine, Tereschenkivska str. 3, 01601 Kyiv, Ukraine. 
700 1 |a Bandurskii  |D B.I.  |u State University "L'vivs'ka Polytechnika", S.Bandera str. 5, 79013 L'viv, Ukraine. 
773 0 |t Computational Methods in Applied Mathematics  |d De Gruyter  |g 4/3(2004), 324-349  |x 1609-4840  |q 4:3<324  |1 2004  |2 4  |o cmam 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Makarov  |D V.L.  |u Institute of Mathematics, National Academy of Sciences of Ukraine, Tereschenkivska str. 3, 01601 Kyiv, Ukraine 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Rossokhata  |D N.O.  |u Institute of Mathematics, National Academy of Sciences of Ukraine, Tereschenkivska str. 3, 01601 Kyiv, Ukraine 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bandurskii  |D B.I.  |u State University "L'vivs'ka Polytechnika", S.Bandera str. 5, 79013 L'viv, Ukraine 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Computational Methods in Applied Mathematics  |d De Gruyter  |g 4/3(2004), 324-349  |x 1609-4840  |q 4:3<324  |1 2004  |2 4  |o cmam 
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