2017
DOI: 10.1007/s00010-017-0490-y
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On spectral analysis in varieties containing the solutions of inhomogeneous linear functional equations

Abstract: The aim of the paper is to investigate the solutions of special inhomogeneous linear functional equations by using spectral analysis in a translation invariant closed linear subspace of additive/multiadditive functions containing the restrictions of the solutions to finitely generated fields. The application of spectral analysis in some related varieties is a new and important trend in the theory of functional equations; especially they have successful applications in case of homogeneous linear functional equa… Show more

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Cited by 5 publications
(21 citation statements)
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“…Unfortunately, the description of all exponential monomials spanning the entire space of the solutions seems to be beyond hope in general; see Example 2 in subsection 4.2. Our results give an explicite and unified technic to solve the problem of finding solutions at all: it is based on the spectral analysis in the first part [18] of the investagations and the present paper completes the solution of the problem by the application of spectral synthesis. …”
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confidence: 89%
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“…Unfortunately, the description of all exponential monomials spanning the entire space of the solutions seems to be beyond hope in general; see Example 2 in subsection 4.2. Our results give an explicite and unified technic to solve the problem of finding solutions at all: it is based on the spectral analysis in the first part [18] of the investagations and the present paper completes the solution of the problem by the application of spectral synthesis. …”
mentioning
confidence: 89%
“…
AbstractAs a continuation of our previous work [18] the aim of the recent paper is to investigate the solutions of special inhomogeneous linear functional equations by using spectral synthesis in translation invariant closed linear subspaces of additive/multiadditive functions containing the restrictions of the solutions to finitely generated fields. The idea is based on the fundamental work of M. Laczkovich and G. Kiss [3].
…”
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confidence: 99%
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