Home A generalization of the exponential sampling series and its approximation properties
Article
Licensed
Unlicensed Requires Authentication

A generalization of the exponential sampling series and its approximation properties

  • Carlo Bardaro EMAIL logo , Loris Faina and Ilaria Mantellini
Published/Copyright: November 30, 2017
Become an author with De Gruyter Brill

Abstract

Here we introduce a generalization of the exponential sampling series of optical physics and establish pointwise and uniform convergence theorem, also in a quantitative form. Moreover we compare the error of approximation for Mellin band-limited functions using both classical and generalized exponential sampling series.


Dedicated to Professor Paolo de Lucia on his 80th birthday, with high esteem

Communicated by Anna De Simone


Acknowledgement

We wish to thank the anonymous Referee for his constructive report which has improved the presentation of the paper.

The authors have been partialy supported by the Gruppo Nazionale Analisi Matematica, Probabilitá e Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM) and by the Department of Mathematics and Computer Sciences of University of Perugia.

References

[1] Angeloni, L.—Vinti, G.: A characterization of absolute continuity by means of Mellin integral operators, Z. Anal. Anwend. 34 (2015), 343–356.10.4171/ZAA/1543Search in Google Scholar

[2] Angeloni, L.—Vinti, G.: Convergence in variation and a characterization of the absolute continuity, Integral Transforms Spec. Funct. 26 (2015), 829–844.10.1080/10652469.2015.1062375Search in Google Scholar

[3] Bardaro, C.—Butzer, P. L.—Mantellini, I.: The exponential sampling theorem of signal analysis and the reproducing kernel formula in the Mellin transform setting, Sampl. Theory Signal Image Process. 13 (2014), 35–66.10.1007/BF03549572Search in Google Scholar

[4] Bardaro, C.—Butzer, P. L.—Mantellini, I.: The Mellin-Parseval formula and its interconnections with the exponential sampling theorem of optical physics, Integral Transforms Spec. Funct. 27 (2016), 17–29.10.1080/10652469.2015.1087401Search in Google Scholar

[5] Bardaro, C.—Butzer, P. L.—Mantellini, I.: The foundations of fractional calculus in the Mellin transform setting with applications, J. Fourier Anal. Appl. 21 (2015), 961–1017.10.1007/s00041-015-9392-3Search in Google Scholar

[6] Bardaro, C.—Butzer, P. L.—Mantellini, I.—Schmeisser, G.: On the Paley-Wiener theorem in the Mellin transform setting, J. Approx. Theory 207 (2016), 60–75.10.1016/j.jat.2016.02.010Search in Google Scholar

[7] Bardaro, C.—Butzer, P. L.—Stens, R. L.—Vinti, G.: Approximation error of the Whittaker cardinal series in terms of an averaged modulus of smoothness covering discontinuous signals, J. Math. Anal. Appl. 316 (2006), 269–306.10.1016/j.jmaa.2005.04.042Search in Google Scholar

[8] Bardaro, C.—Butzer, P. L.—Stens, R. L.—Vinti, G.: Prediction by samples from the past with error estimates covering discontinuous signals, IEEE Transactions on Information Theory 56 (2010), 614–633.10.1109/TIT.2009.2034793Search in Google Scholar

[9] Bardaro, C.—Faina, L.—Mantellini, I.: Quantitative approximation properties for iterates of moment operator, Math. Model. Anal. 20 (2015), 261–272.10.3846/13926292.2015.1021720Search in Google Scholar

[10] Bardaro, C.—Mantellini, I.: On Mellin convolution operators: a direct approach to the asymptotic formulae, Integral Transforms Spec. Funct. 25 (2014), 182–195.10.1080/10652469.2013.838755Search in Google Scholar

[11] Bardaro, C.— Mantellini, I.: A note on the Voronovskaja theorem for Mellin-Fejer convolution operators, Appl. Math. Lett. 24 (2011), 2064–2067.10.1016/j.aml.2011.05.043Search in Google Scholar

[12] Bardaro, C.—Mantellini, I.: Asymptotic formulae for linear combinations of generalized sampling type operators, Z. Anal. Anwend. 32 (2013), 279–298.10.4171/ZAA/1485Search in Google Scholar

[13] Bertero, M.— Pike, E. R.: Exponential sampling method for Laplace and other dilationally invariant transforms I. Singular-system analysis. II. Examples in photon correction spectroscopy and Frauenhofer diffraction, Inverse Problems 7 (1991), 1–20; 21–41.10.1088/0266-5611/7/1/003Search in Google Scholar

[14] Butzer, P. L.—Jansche, S.: A direct approach to the Mellin transform, J. Fourier Anal. Appl. 3 (1997), 325–375.10.1007/BF02649101Search in Google Scholar

[15] Butzer, P. L.—Jansche, S.: The finite Mellin Transform, Mellin-Fourier series and the Mellin-Posson summation formula, Rend. Circ. Mat. Palermo, Ser. II, Suppl. Vol. 52 (1998), 55–81.Search in Google Scholar

[16] Butzer, P. L.—Jansche, S.: The exponential sampling theorem of signal analysis, Atti Sem. Mat. Fis. Univ. Modena, Suppl. Vol. 46 (1998), 99–122, special issue dedicated to Professor Calogero Vinti.Search in Google Scholar

[17] Butzer, P. L.—Jansche, S.: A self-contained approach to Mellin transform analysis for square integrable functions; applications, Integral Transforms Spec. Funct. 8 (1999), 175–198.10.1080/10652469908819226Search in Google Scholar

[18] Butzer, P. L.— Stens, R. L.: Prediction of non-bandlimited signals in terms of splines of low degree, Math. Nachr. 132 (1987), 115–130.10.1002/mana.19871320109Search in Google Scholar

[19] Butzer, P. L.—Stens, R. L.: Linear prediction by samples from the past. In: Advances Topics in Shannon Sampling and Interpolation Theory (R. J. Marks II, ed.), Springer-Verlag, 1993, pp. 157–183.10.1007/978-1-4613-9757-1_5Search in Google Scholar

[20] Casasent, D. (ed.): Optical Data Processing, Springer, Berlin, 1978, pp. 241–282.10.1007/BFb0057988Search in Google Scholar

[21] Gori, F.: Sampling in optics. In: Advances Topics in Shannon Sampling and Interpolation Theory (R. J. Marks II, ed.), Springer, New York, 1993, pp. 37–83.10.1007/978-1-4613-9757-1_2Search in Google Scholar

[22] Mamedov, R. G.: The Mellin Transform and Approximation Theory, (in Russian), “Elm”, Baku, 1991.Search in Google Scholar

[23] Ostrowsky, N.—Sornette, D.—Parker, P.—Pike, E. R.: Exponential sampling method for light scattering polydispersity analysis, Opt. Acta 28 (1994), 1059–1070.10.1080/713820704Search in Google Scholar

Received: 2016-3-31
Accepted: 2017-2-23
Published Online: 2017-11-30
Published in Print: 2017-11-27

© 2017 Mathematical Institute Slovak Academy of Sciences

Articles in the same Issue

  1. Paolo de Lucia
  2. Arcs, hypercubes, and graphs as quotients of projective Fraïssé limits
  3. A note on field-valued measures
  4. Topologies and uniformities on d0-algebras
  5. On some properties of 𝓙-approximately continuous functions
  6. Porous subsets in the space of functions having the Baire property
  7. Rademacher’s theorem in Banach spaces without RNP
  8. Pettis integrability of fuzzy mappings with values in arbitrary Banach spaces
  9. Measure games on pseudo-D-lattices
  10. On some properties of k-subadditive lattice group-valued capacities
  11. Lp Spaces in vector lattices and applications
  12. The Choquet integral with respect to fuzzy measures and applications
  13. A note on the range of vector measures
  14. Ideal convergent subsequences and rearrangements for divergent sequences of functions
  15. Convergence results for a family of Kantorovich max-product neural network operators in a multivariate setting
  16. A generalization of the exponential sampling series and its approximation properties
  17. Monotonicity and total boundedness in spaces of “measurable” functions
  18. Vector lattices in synaptic algebras
  19. Density, ψ-density and continuity
  20. Feather topologies
  21. On disruptions of nonautonomous discrete dynamical systems in the context of their local properties
  22. Rate of convergence of empirical measures for exchangeable sequences
  23. On non-additive probability measures
  24. Equi-topological entropy curves for skew tent maps in the square
  25. On the lack of equi-measurability for certain sets of Lebesgue-measurable functions
Downloaded on 17.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ms-2017-0064/html
Scroll to top button