Improving approximation via linear combinations of Bernstein operators

Authors

  • Ali Jaddoa General Directorate of Basra Education, Ministry of Education, Basra, Iraq
  • Hanadi Abdulsattar Department of Mathematics, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq
  • Naser Jassim Department of Computer Sciences, College of Computer Sciences and Information Technology, University of Basrah, Basrah, Iraq

DOI:

https://doi.org/10.33993/jnaat551-1718

Keywords:

Bernstein operators, linear combinations, iterates of operators, rate of convergence, Voronovskaja-type formula, modulus of continuity.
Abstract views: 0

Abstract

In this paper, a new way to improve approximation operators is proposed. Two well-known methods are combined: the linear combination of the classic Bernstein operator and the iteration technique. The main goal is to make the convergence to the function faster and to obtain more accurate numerical results for practical use. The approximation error is analyzed using standard tools, such as the K-functional and the modulus of continuity. It is also proved that the proposed operator converges uniformly to the target function and a  Voronovskaja-type asymptotic formula is derived. Finally, numerical examples based on test functions are presented to show that the new operator compares favorably with existing methods.

Downloads

Download data is not yet available.

References

1. A.M. Acu and I. Raşa, Ulam stability for the composition of operators, Symmetry, 12 (2020) no. 7, Art. no. 1159. https://doi.org/10.3390/sym12071159

2. F. Altomare and M. Campiti, Korovkin-type Approximation Theory and its Applications, de Gruyter Studies in Mathematics 17, Walter de Gruyter, Berlin, 1994. https://doi.org/10.1515/9783110884586

3. S.N. Bernstein, Démonstration du Théorème de Weierstrass fondée sur le calcul des probabilités, Commun. Soc. Math. Kharkov, 13 (1912) no. 1, pp. 1–2.

4. P.L. Butzer, Linear combinations of Bernstein polynomials, Canad. J. Math., 5 (1953), pp. 559–567. https://doi.org/10.4153/CJM-1953-063-7

5. R.A. DeVore and G.G. Lorentz, Constructive Approximation, Grundlehren der mathematischen Wissenschaften 303, Springer-Verlag, Berlin, 1993.

6. Z. Ditzian and K.G. Ivanov, Strong converse inequalities, J. Anal. Math., 61 (1993), pp. 61–111. https://doi.org/10.1007/BF02788839

7. Z. Ditzian and V. Totik, Moduli of Smoothness, Springer Series in Computational Mathematics 9, Springer-Verlag, New York, 1987. https://doi.org/10.1007/978-1-4612-4778-4

8. I. Gavrea and M. Ivan, Asymptotic behaviour of the iterates of positive linear operators, Abstract and Applied Analysis, 2011 (2011), Art. ID 670509. https://doi.org/10.1155/2011/670509

9. H. Gonska, On the degree of approximation in Voronovskaja's theorem, Studia Univ. Babeş-Bolyai Math., 52 (2007) no. 3, pp. 103–115.

10. A. Kajla and T. Acar, Modified α-Bernstein operators with better approximation properties, Ann. Funct. Anal., 10 (2019) no. 4, pp. 570–582. https://doi.org/10.1215/20088752-2019-0015

11. R.P. Kelisky and T.J. Rivlin, Iterates of Bernstein polynomials, Pacific J. Math., 21 (1967) no. 3, pp. 511–520. https://doi.org/10.2140/pjm.1967.21.511

12. J.P. King, Positive linear operators which preserve x², Acta Math. Hungar., 99 (2003) no. 3, pp. 203–208. https://doi.org/10.1023/A:1024571126455

13. G.G. Lorentz, Bernstein Polynomials, University of Toronto Press, Toronto, 1953.

14. C.P. May, Saturation and inverse theorems for combinations of a class of exponential-type operators, Canad. J. Math., 28 (1976) no. 6, pp. 1224–1250. https://doi.org/10.4153/CJM-1976-123-8

15. C.A. Micchelli, The saturation class and iterates of the Bernstein polynomials, J. Approx. Theory, 8 (1973) no. 1, pp. 1–18. https://doi.org/10.1016/0021-9045(73)90028-2

16. F. Özger, H.M. Srivastava, and S.A. Mohiuddine, Approximation of functions by a new class of generalized Bernstein-Schurer operators, RACSAM, 114 (2020) no. 4, Art. no. 173. https://doi.org/10.1007/s13398-020-00903-6

17. R.S. Rajawat, K.K. Singh, and V.N. Mishra, Approximation by modified Bernstein polynomials based on real parameters, Math. Found. Comput., 7 (2024) no. 3, pp. 297–309. https://doi.org/10.3934/mfc.2023005

18. I. Raşa, Iterated Boolean sums of Bernstein and related operators, Rev. Anal. Numér. Théor. Approx., 35 (2006) no. 1, pp. 111–115. https://doi.org/10.33993/jnaat351-1018

19. W. Rudin, Principles of Mathematical Analysis, 3rd ed., McGraw–Hill, New York, 1976.

20. P. Sablonnière, Bernstein quasi-interpolants, Approx. Theory Appl., 8 (1992) no. 3, pp. 62–76.

21. M. Sofyalıoğlu, K. Kanat, and B. Çekim, Parametric Generalization of the Modified Bernstein Operators, Filomat, 36 (2022) no. 5, pp. 1699–1709. https://doi.org/10.2298/FIL2205699S

22. F. Usta, On New Modification of Bernstein Operators: Theory and Applications, Iran. J. Sci. Technol. Trans. Sci., 44 (2020) no. 6, pp. 1801–1809. https://doi.org/10.1007/s40995-020-00919-y

23. G. Zhou and Q.-B. Cai, Approximation properties of (λ, μ)-Bernstein operators, Filomat, 39 (2025) no. 23, pp. 8193–8207. https://doi.org/10.2298/FIL2523193Z

Downloads

Published

2026-08-31

Issue

Section

Articles

How to Cite

Jaddoa, A., Abdulsattar, H., & Jassim, N. (2026). Improving approximation via linear combinations of Bernstein operators. J. Numer. Anal. Approx. Theory, 55(1), 90-109. https://doi.org/10.33993/jnaat551-1718