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Proceedings of the American Mathematical Society
Article . 1981 . Peer-reviewed
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On the Absolute Convergence of Lacunary Fourier Series

On the absolute convergence of lacunary Fourier series
Authors: Patadia, J. R.; Shah, V. M.;

On the Absolute Convergence of Lacunary Fourier Series

Abstract

In 1958, P. B. Kennedy [2] proved a two-part theorem on the order of magnitude of the coefficients and the absolute convergence of lacunary Fourier series, and he conjectured that his conclusions remained valid under weaker conditions. The conjecture on the order of magnitude of the coefficients was established by M. and S. I. Izumi [1]. In this note the second half of the conjecture, concerning absolute convergence, is deduced from a recent result of Patadia [3].

Keywords

Best approximation, Chebyshev systems, absolute convergence, Trigonometric approximation, Convergence and absolute convergence of Fourier and trigonometric series, trigonometric polynomials, Summability and absolute summability of Fourier and trigonometric series, lacunary Fourier series, Lacunary series of trigonometric and other functions; Riesz products, Fourier series, best approximation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average