Skip to main content

Approximation to Derivatives of Functions by Linear Operators Acting on Weighted Spaces by Power Series Method

  • Conference paper
  • First Online:
Computational Analysis

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 155))

Abstract

In this chapter, using power series method we study some Korovkin type approximation theorems which deal with the problem of approximating a function by means of a sequence of linear operators acting on weighted spaces.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. O. Agratini, Statistical convergence of a non-positive approximation process. Chaos Solitons Fractals 44, 977–981 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  2. F. Altomare, Korovkin-type theorems and approximation by positive linear operators. Surv. Approx. Theory 5, 92–164 (2010)

    MathSciNet  MATH  Google Scholar 

  3. G.A. Anastassiou, O. Duman, Statistical weighted approximation to derivatives of functions by linear operators. J. Comput. Anal. Appl. 11, 20–30 (2009)

    MathSciNet  MATH  Google Scholar 

  4. Ö.G. Atlihan, E. Taş, An abstract version of the Korovkin theorem via A-summation process. Acta Math. Hung. 145, 360–368 (2015)

    Article  MathSciNet  Google Scholar 

  5. J. Boos, Classical and Modern Methods in Summability (Oxford University Press, Oxford, 2000)

    MATH  Google Scholar 

  6. K. Demirci, F. Dirik, Statistical \(\sigma\)-convergence of positive linear operators. Appl. Math. Lett. 24, 375–380 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  7. O. Duman, C. Orhan, An abstract version of the Korovkin approximation theorem. Publ. Math. Debr. 69, 33–46 (2006)

    MathSciNet  MATH  Google Scholar 

  8. R.O. Efendiev, Conditions for convergence of linear operators to derivatives (Russian). Akad. Nauk. Azerb. SSR Dokl. 40, 3–6 (1984)

    MathSciNet  Google Scholar 

  9. W. Kratz, U. Stadtmüller, Tauberian theorems for J p -summability. J. Math. Anal. Appl. 139, 362–371 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  10. N. Küçük, O. Duman, Summability methods in weighted approximation to derivatives of functions. Serdica Math. J. 41, 335–368 (2015)

    MathSciNet  Google Scholar 

  11. T. Nishishiraho, Quantitative equi-uniform approximation processes of integral operators in Banach spaces. Taiwan. J. Math. 10, 441–465 (2006)

    MathSciNet  MATH  Google Scholar 

  12. I. Özgüç, E. Taş, A Korovkin-type approximation theorem and power series method. Results Math. doi:10.1007/s00025_016_0538_7 (2016)

    Google Scholar 

  13. U. Stadtmüller, A. Tali, On certain families of generalized Nörlund methods and power series methods. J. Math. Anal. Appl. 238, 44–66 (1999)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tuğba Yurdakadim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Taş, E., Yurdakadim, T. (2016). Approximation to Derivatives of Functions by Linear Operators Acting on Weighted Spaces by Power Series Method. In: Anastassiou, G., Duman, O. (eds) Computational Analysis. Springer Proceedings in Mathematics & Statistics, vol 155. Springer, Cham. https://doi.org/10.1007/978-3-319-28443-9_26

Download citation

Publish with us

Policies and ethics