2005
DOI: 10.1007/s10474-005-0183-1
|View full text |Cite
|
Sign up to set email alerts
|

Mean convergence of orthogonal Fourier series and interpolating polynomials

Abstract: For a family of weight functions that include the general Jacobi weight functions as special cases, exact condition for the convergence of the Fourier orthogonal series in the weighted L p space is given. The result is then used to establish a Marcinkiewicz-Zygmund type inequality and to study weighted mean convergence of various interpolating polynomials based on the zeros of the corresponding orthogonal polynomials.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2010
2010
2012
2012

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 13 publications
0
2
0
Order By: Relevance
“…A further generalization, valid for 0 < p < ∞, and P ∈ P ln with l > 1 fixed, was proved in [10]. A converse inequality has been proven in [16].…”
Section: Introductionmentioning
confidence: 92%
“…A further generalization, valid for 0 < p < ∞, and P ∈ P ln with l > 1 fixed, was proved in [10]. A converse inequality has been proven in [16].…”
Section: Introductionmentioning
confidence: 92%
“…[1]. If n ≥ 1 is an integer, 1 < p < ∞, and S is a trigonometric polynomial of order at most n, then: These inequalities have been studied by many authors in connection with orthogonal polynomials both in the case of Lagrange interpolation and Jacobi weights on [ − 1 , 1 ] ( [2], [3]).…”
Section: Introductionmentioning
confidence: 99%