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Optimal Recovery of Elements of a Hilbert Space and their Scalar Products According to the Fourier Coefficients Known with Errors

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Ukrainian Mathematical Journal Aims and scope

In a Hilbert space defined as the image of a unit ball under the action of a compact operator, we solve the problems of optimal recovery of elements according to their first n Fourier coefficients known with errors. Similar problems are also solved for the scalar products of elements from two different classes.

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References

  1. C. A. Micchelli and T. J. Rivlin, “A survey of optimal recovery,” in: Optimal Estimation in Approximation Theory, Plenum Press, New York (1977), pp. 1–54.

    Chapter  Google Scholar 

  2. A. A. Melkman and C. A. Micchelli, “Optimal estimation of linear operators in Hilbert spaces from inaccurate data,” SIAM J. Numer. Anal., 16, No. 1, 87–105 (1979).

    Article  MathSciNet  Google Scholar 

  3. C. A. Micchelli and T. J. Rivlin, “Lectures on optimal recovery,” in: Numerical Analysis, Springer, Berlin (1984), pp. 21–93.

    Google Scholar 

  4. C. A. Micchelli, “Optimal estimation of linear operators in Hilbert spaces from inaccurate data: a second look,” Numer. Algorithms, 5, 375–390 (1993).

    Article  MathSciNet  Google Scholar 

  5. L. Plaskota, Noisy Information and Computational Complexity, Cambridge Univ. Press, Cambridge (1996).

    Book  Google Scholar 

  6. G. G. Magaril-Il’yaev and K. Yu. Osipenko, “Optimal recovery of functions and their derivatives on the basis of their Fourier coefficients given with errors,” Mat. Sb., 193, No. 3, 79–100 (2002).

    Article  MathSciNet  Google Scholar 

  7. V. F. Babenko, “On the best use of linear functionals for the approximation of bilinear functionals,” in: Investigation of the Modern Problems of Summation and Approximation of Functions and Their Applications [in Russian], Dnepropetrovsk (1979), pp. 3–5.

  8. V. F. Babenko, Extreme Problems of the Approximation Theory and Nonsymmetric Norms [in Russian], Doctoral-Degree Thesis (Physics and Mathematics), Dnepropetrovsk (1987).

    Google Scholar 

  9. V. F. Babenko, “Approximate computation of scalar products,” Ukr. Mat. Zh., 40, No. 1, 15–21 (1988); English translation: Ukr. Math. J., 40, No. 1, 11–16 (1988).

  10. V. F. Babenko and A. A. Rudenko, “Optimal reconstruction of convolutions and scalar products of functions from various classes,” Ukr. Mat. Zh., 43, No. 10, 1305–1310 (1991); English translation: Ukr. Math. J., 43, No. 10, 1214–1219 (1991).

  11. V. F. Babenko and A. A. Rudenko, “On the optimal renewal of bilinear functionals in linear normed spaces,” Ukr. Mat. Zh., 49, No. 6, 828–831 (1997); English translation: Ukr. Math. J., 49, No. 6, 925–929 (1997).

  12. V. F. Babenko, M. S. Hun’ko, and A. A. Rudenko, “On the optimal recovery of bilinear functionals by the linear information,” Visn. Dnipropetr. Univ., Mat., Issue 17, 11–17 (2012).

    Google Scholar 

  13. I. M. Gelfand and N. Ya. Vilenkin, Some Applications of Harmonic Analysis. Generalized Hilbert Spaces (Generalized Functions, Issue 4) [in Russian], Fizmatgiz, Moscow (1961).

    Google Scholar 

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Correspondence to M. S. Gunko.

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Translated from Ukrains’kyi Matematychnyi Zhurnal, Vol. 72, No. 6, pp. 736–750, June, 2020. Ukrainian DOI: 10.37863/umzh.v72i6.1107.

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Babenko, V.F., Gunko, M.S. & Parfinovych, N.V. Optimal Recovery of Elements of a Hilbert Space and their Scalar Products According to the Fourier Coefficients Known with Errors. Ukr Math J 72, 853–870 (2020). https://doi.org/10.1007/s11253-020-01828-4

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  • DOI: https://doi.org/10.1007/s11253-020-01828-4

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