Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator

We first give the unboundedness of multivariate Baskakov operators with the normal weighted norm. By introducing new norms, using the multivariate decomposition technique and the modulus of smoothness with Jacobi weight, the upper bound estimation of multivariate Baskakov operators is obtained. The...

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Main Authors: Jianjun Wang, Haifeng Guo, Jia Jing
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Function Spaces and Applications
Online Access:http://dx.doi.org/10.1155/2013/939565
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spelling doaj-9b38af14468f4d04b4654b22114a699c2020-11-24T23:04:32ZengHindawi LimitedJournal of Function Spaces and Applications0972-68021758-49652013-01-01201310.1155/2013/939565939565Estimation of Approximation with Jacobi Weights by Multivariate Baskakov OperatorJianjun Wang0Haifeng Guo1Jia Jing2School of Mathematics and Statistics, Southwest University, Chongqing 400715, ChinaSchool of Mathematics and Statistics, Southwest University, Chongqing 400715, ChinaSchool of Mathematics and Statistics, Southwest University, Chongqing 400715, ChinaWe first give the unboundedness of multivariate Baskakov operators with the normal weighted norm. By introducing new norms, using the multivariate decomposition technique and the modulus of smoothness with Jacobi weight, the upper bound estimation of multivariate Baskakov operators is obtained. The obtained results not only generalize the corresponding ones for multivariate Baskakov operators without weights, but also give the approximation accuracy with the Jacobi weights approximation.http://dx.doi.org/10.1155/2013/939565
collection DOAJ
language English
format Article
sources DOAJ
author Jianjun Wang
Haifeng Guo
Jia Jing
spellingShingle Jianjun Wang
Haifeng Guo
Jia Jing
Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
Journal of Function Spaces and Applications
author_facet Jianjun Wang
Haifeng Guo
Jia Jing
author_sort Jianjun Wang
title Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
title_short Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
title_full Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
title_fullStr Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
title_full_unstemmed Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator
title_sort estimation of approximation with jacobi weights by multivariate baskakov operator
publisher Hindawi Limited
series Journal of Function Spaces and Applications
issn 0972-6802
1758-4965
publishDate 2013-01-01
description We first give the unboundedness of multivariate Baskakov operators with the normal weighted norm. By introducing new norms, using the multivariate decomposition technique and the modulus of smoothness with Jacobi weight, the upper bound estimation of multivariate Baskakov operators is obtained. The obtained results not only generalize the corresponding ones for multivariate Baskakov operators without weights, but also give the approximation accuracy with the Jacobi weights approximation.
url http://dx.doi.org/10.1155/2013/939565
work_keys_str_mv AT jianjunwang estimationofapproximationwithjacobiweightsbymultivariatebaskakovoperator
AT haifengguo estimationofapproximationwithjacobiweightsbymultivariatebaskakovoperator
AT jiajing estimationofapproximationwithjacobiweightsbymultivariatebaskakovoperator
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