2007
DOI: 10.1007/s10474-006-0513-y
|View full text |Cite
|
Sign up to set email alerts
|

Trigonometric series of Nikol’skii classes

Abstract: We study when sums of trigonometric series belong to given function classes. For this purpose we describe the Nikol'skii class of functions and, in particular, the generalized Lipschitz class. Results for series with positive and general monotone coefficients are presented.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0

Year Published

2008
2008
2019
2019

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 32 publications
(22 citation statements)
references
References 11 publications
0
22
0
Order By: Relevance
“…We note that the analogous problem is solved in the special case of sine series with positive coefficients tending to zero, see [7] by Tikhonov.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We note that the analogous problem is solved in the special case of sine series with positive coefficients tending to zero, see [7] by Tikhonov.…”
Section: Resultsmentioning
confidence: 99%
“…Theorems 1-7 have their periodic analogues for sine and cosine series. We refer to the papers [1] by Boas, [6] by Németh, [7] by Tikhonov in the special case where the coefficients {a k : k 1} of the series are positive numbers such that ∞ k=1 a k < ∞; and to the papers [3,4] by the present author in the case where the coefficients {c k : k 1} of the series are complex numbers such that ∞ k=1 |c k | < ∞.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The following two theorems on trigonometric series from the Nikol'skii class W α H β (γ) are simple corollaries of Theorems 2.12.2 (see [6,Lemmas 2.112.12]). Theorem 4.1 (cosine).…”
Section: Introductionmentioning
confidence: 96%
“…The history of this question can be found in [6]. We also study a problem of embedding between the Nikol'skii class and the class of strong sums of Fourier series.…”
Section: Introductionmentioning
confidence: 99%