Skip to main content
Log in

Approximation by Multivariate Max-Product Kantorovich Exponential Sampling Operators

  • Published:
Results in Mathematics Aims and scope Submit manuscript

Abstract

The approximation behavior of multivariate max-product Kantorovich exponential sampling operators has been analyzed. The point-wise and uniform approximation theorem for these sampling series \(I^{\chi ,(M)}_{\textbf{w},j}\) is proved. The degree of approximation in-terms of logarithmic modulus of smoothness is studied. For the class of log-Hölderian functions, the order of uniform norm convergence is established. The norm-convergence theorems for the multivariate max-product Kantorovich exponential sampling operators in Mellin–Lebesgue spaces is studied.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data Availability

The manuscript has no associated data.

References

  1. Acar, T., Kursun, S., Turgay, M.: Multidimensional Kantorovich modifications of exponential sampling series. Quaestiones Mathematicae (2021). https://doi.org/10.2989/16073606.2021.1992033

    Article  Google Scholar 

  2. Aral, A., Acar, T., Kursun, S.: Generalized Kantorovich forms of exponential sampling series. Anal. Math. Phys. 12, 50 (2022)

    Article  MathSciNet  Google Scholar 

  3. Angamuthu, S.K., Bajpeyi, S.: Direct and inverse results for Kantorovich type exponential sampling series. Results Math. 75, 119 (2020)

    Article  MathSciNet  Google Scholar 

  4. Balsamo, S., Mantellini, I.: On linear combinations of general exponential sampling series. Results Math. 74(4), 180 (2019)

    Article  MathSciNet  Google Scholar 

  5. Bajpeyi, S., Kumar, A.S.: On approximation by Kantorovich exponential sampling operators. Numer. Funct. Anal. Optim. 42(9), 1096–1113 (2021)

    Article  MathSciNet  Google Scholar 

  6. Bajpeyi, S., Kumar, A.S.: Approximation by exponential sampling type neural network operators. Anal. Math. Phys. 11, 108 (2021)

    Article  MathSciNet  Google Scholar 

  7. Bajpeyi, S., Kumar, A.S.: Max-Product Type Exponential Neural Network Operators. Mathematical Analysis and Computing. Springer Proceedings in Mathematics and Statistics. Springer, Singapore, vol. 344, pp. 561–571 (2021)

  8. Bardaro, C., Bevignani, G., Mantellini, I., Seracini, M.: Bivariate generalized exponential sampling series and applications to seismic waves. Constr. Math. Anal. 2(4), 153–167 (2019)

    MathSciNet  Google Scholar 

  9. Bardaro, C., Mantellini, I.: On Mellin convolution operators: a direct approach to the asymptotic formulae. Integr. Transf. Spec. Funct. 25, 182–195 (2014)

    Article  MathSciNet  Google Scholar 

  10. Bardaro, C., Mantellini, I.: Asymptotic formulae for linear combinations of generalized sampling operators. Z. Anal. Anwend. 32(3), 279–298 (2013)

    Article  MathSciNet  Google Scholar 

  11. Bardaro, C., Mantellini, I.: On linear combinations of multivariate generalized sampling type series. Mediterr. J. Math. 10, 1833–1852 (2013)

    Article  MathSciNet  Google Scholar 

  12. Bardaro, C., Faina, L., Mantellini, I.: A generalization of the exponential sampling series and its approximation properties. Math. Slovaca 67, 1481–1496 (2017)

    Article  MathSciNet  Google Scholar 

  13. Bardaro, C., Mantellini, I., Schmeisser, G.: Exponential sampling series: convergence in Mellin–Lebesgue spaces. Results Math. 74, 20–119 (2019)

    Article  MathSciNet  Google Scholar 

  14. Bardaro, C., Mantellini, I., Tittarelli, I.: Convergence of semi-discrete exponential sampling operators in Mellin–Lebesgue spaces. Rev. Real Acad. Cienc. Exactas Fis. Nat. Ser. A-Mat. 117, 30 (2023)

    Article  MathSciNet  Google Scholar 

  15. Bertero, M., Pike, E.R.: Exponential-sampling method for Laplace and other dilationally invariant transforms. II. Examples in photon correlation spectroscopy and Fraunhofer diffraction. Inverse Prob. 7, 21–41 (1991)

    Article  ADS  MathSciNet  Google Scholar 

  16. Butzer, P.L., Stens, R.L.: Linear prediction by samples from the past. In: Advanced Topics in Shannon Sampling and Interpolation Theory, Springer Texts Electrical Eng., Springer, New York, pp. 157–183 (1993)

  17. Butzer, P.L., Jansche, S.: The exponential sampling theorem of signal analysis, Dedicated to Prof. C. Vinti (Italian) (Perugia, 1996), Atti del Seminario matematico e fisico dell’Universitá di Modena, Suppl. 46, 99–122 (1998)

  18. Butzer, P.L.: A survey of the Whittaker–Shannon sampling theorem and some of its extensions. J. Math. Res. Expos. 3, 185–212 (1983)

    MathSciNet  Google Scholar 

  19. Butzer, P.L., Stens, R.L.: A modification of the Whittaker–Kotelnikov–Shannon sampling series. Aequntiones Muth. 2(8), 305–311 (1985)

    Article  MathSciNet  Google Scholar 

  20. Butzer, P.L., Ries, S., Stens, R.L.: Approximation of continuous and discontinuous functions by generalized sampling series. J. Approx. Theory 50(1), 25–39 (1987)

    Article  MathSciNet  Google Scholar 

  21. Casasent, D.: Optical data Processing, pp. 241–282. Springer, Berlin (1978)

    Book  Google Scholar 

  22. Coroianu, L., Costarelli, D., Gal, S.G., Vinti, G.: Approximation by multivariate max-product Kantorovich type operators and learning rates of least-squares regularized regression. Commun. Pure Appl. Anal. 19(8), 4213–4225 (2020)

    Article  MathSciNet  Google Scholar 

  23. Coroianu, L., Costarelli, D., Gal, S.G., Vinti, G.: The max-product generalized sampling operators: convergence and quantitative estimates. Appl. Math. Comput. 355, 173–183 (2019)

    Article  MathSciNet  Google Scholar 

  24. Coroianu, L., Costarelli, D., Gal, S.G., Vinti, G.: Approximation by max-product sampling Kantorovich operators with generalized kernels. Anal. Appl. 19(2), 219–244 (2021)

    Article  MathSciNet  Google Scholar 

  25. Coroianu, L., Gal, S.G.: Approximation by nonlinear generalized sampling operators of max-product kind. Sampl. Theory Signal Image Process. 9(1–3), 59–75 (2010)

    Article  MathSciNet  Google Scholar 

  26. Coroianu, L., Gal, S.G.: Approximation by max-product sampling operators based on sinc-type kernels. Sampl. Theory Signal Image Process. 10(3), 211–230 (2011)

    Article  MathSciNet  Google Scholar 

  27. Costarelli, D., Spigler, R.: How sharp is the Jensen inequality? J. Inequal. Appl. 2015, 1–10 (2015)

    Article  MathSciNet  Google Scholar 

  28. Folland, G.B.: Real Analysis. Modern Techniques and Their Applications. Wiley, New York (1984)

    Google Scholar 

  29. Higgins, J.R.: Five short stories about the cardinal series. Bull. Am. Math. Soc. (N.S.) 12(1), 45–89 (1985)

    Article  MathSciNet  Google Scholar 

  30. Kursun, S., Turgay, M., Alagöz, O., Acar, T.: Approximation properties of multivariate exponential sampling series. Carpath. Math. Publ. 13(3), 666–675 (2021)

    Article  MathSciNet  Google Scholar 

  31. Kumar, A.S., Kumar, P., Ponnaian, D.: Approximation of discontinuous signals by exponential sampling series. Results Math. 77, 23 (2022)

    Article  MathSciNet  Google Scholar 

  32. Kumar, A.S., Kumar, P., Ponnaian, D.: Approximation of discontinuous functions by Kantorovich exponential sampling series. Anal. Math. Phys. 12, 73 (2022)

    Article  MathSciNet  Google Scholar 

  33. Ostrowsky, N., Sornette, D., Parke, P., Pike, E.R.: Exponential sampling method for light scattering polydispersity analysis. Opt. Acta 28, 1059–1070 (1981)

    Article  ADS  Google Scholar 

Download references

Acknowledgements

A. Sathish Kumar acknowledges DST-SERB, India Research Grant MTR/2021/000428 and NFIG Grant, IIT Madras, Grant No. RF/22-23/0984/MA/NFIG/009017 for the financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sathish Kumar Angamuthu.

Ethics declarations

Conflict of interest

This work does not have any conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Angamuthu, S.K. Approximation by Multivariate Max-Product Kantorovich Exponential Sampling Operators. Results Math 79, 66 (2024). https://doi.org/10.1007/s00025-023-02092-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00025-023-02092-1

Keywords

Mathematics Subject Classification

Navigation