Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator

Joint Authors

Wang, Jianjun
Guo, Haifeng
Duan, Shukai

Source

Journal of Function Spaces and Applications

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-08-21

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Wang, Jianjun& Guo, Haifeng& Duan, Shukai. 2013. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces and Applications،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-509844

Modern Language Association (MLA)

Wang, Jianjun…[et al.]. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces and Applications No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-509844

American Medical Association (AMA)

Wang, Jianjun& Guo, Haifeng& Duan, Shukai. Estimation of Approximation with Jacobi Weights by Multivariate Baskakov Operator. Journal of Function Spaces and Applications. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-509844

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-509844